id,submitted_at,project_title,student_names,year,abstract,description,problem_statement,proposed_solution,objectives,full_content,clean_text,word_count,features,originality
1,,3D hand game for neuromuscular patients,"Ahmed Mansour Mohamed Saber, Ahmed Mohamed Mohamed Abdelrahman, Aya Abdalla Elsaid Laban, Eslam Esmael Fathy Elsaid, Eslam Mohamed Elsyad, Rania Saeed El-shahaat sherif",2017,"In this project we have designed and implemented a 3D game system for neuromuscular patients and other people. The hardware selected for the project was leap motion controller sensor connected to a standard laptop. The system tracks the 3D motion of the patient's hand within the virtual environment. The system has a GUI for patient information data entry. It also includes the possibility for the doctor to select/set game parameters (range of motion, game speed) according to each specific patient. Finally, there is a quantitative reporting section which includes two parts: a session report with game parameters, scores and outcomes of the hand motion including joint angles.","A virtual rehabilitation system that uses a Leap Motion sensor to track hand movements in a 3D game environment. The system is designed to assist neuromuscular patients with physical therapy by making exercises more engaging while providing doctors with quantitative data on patient progress, such as joint angles and range of motion.","Neuromuscular patients suffer from nerve atrophy and limited hand mobility, making it difficult to perform daily tasks. Traditional physiotherapy sessions can be tedious and difficult to schedule, leading to a need for more engaging and accessible rehabilitation methods.",The development of a 3D interactive game integrated with a Leap Motion sensor that allows patients to perform therapeutic hand exercises in a gamified environment. The system enables doctors to customize game parameters for individual patients and generates detailed reports on performance and physical improvement.,"1. Develop a scalable and maintainable solution.
2. Improve system performance and reliability.
3. Reduce operational complexity and improve efficiency.
4. Improve overall productivity and workflow optimization.
5. Implement modern technologies and best practices.","3D hand game for neuromuscular patients. In this project we have designed and implemented a 3D game system for neuromuscular patients and other people. The hardware selected for the project was leap motion controller sensor connected to a standard laptop. The system tracks the 3D motion of the patient's hand within the virtual environment. The system has a GUI for patient information data entry. It also includes the possibility for the doctor to select/set game parameters (range of motion, game speed) according to each specific patient. Finally, there is a quantitative reporting section which includes two parts: a session report with game parameters, scores and outcomes of the hand motion including joint angles.. A virtual rehabilitation system that uses a Leap Motion sensor to track hand movements in a 3D game environment. The system is designed to assist neuromuscular patients with physical therapy by making exercises more engaging while providing doctors with quantitative data on patient progress, such as joint angles and range of motion.",3d hand game for neuromuscular patients. in this project we have designed and implemented a 3d game system for neuromuscular patients and other people. the hardware selected for the project was leap motion controller sensor connected to a standard laptop. the system tracks the 3d motion of the patient s hand within the virtual environment. the system has a gui for patient information data entry. it also includes the possibility for the doctor to select/set game parameters range of motion game speed according to each specific patient. finally there is a quantitative reporting section which includes two parts a session report with game parameters scores and outcomes of the hand motion including joint angles.. a virtual rehabilitation system that uses a leap motion sensor to track hand movements in a 3d game environment. the system is designed to assist neuromuscular patients with physical therapy by making exercises more engaging while providing doctors with quantitative data on patient progress such as joint angles and range of motion.,166,"['assist neuromuscular patients', 'game parameters', 'leap motion']",79.85
2,,3D Laser Scanning,"Aya Essam Hegazi, Asmaa Abd EL-Aziz, Ebtehal Eissa, Eman El-Sayed Siam, Heba lutfy, Nermeen Abd El-fattah, Yasmeen Abd El-latif",2024,"3D scanning is used in many applications such as entertainment industry, Historical Preservation, Engineering, Production, Interaction and Navigation and many applications. The aim of our project is creating a 3D image from a 3D model in the real world. Our project depends on using low cost tools such as laser that provides more accuracy results than other tools, and a camera (either webcam or digital camera for more accurate results). 3D scanning has many advantages such as Quickly capture all of the physical measurements of any physical object, Save time in design work, Ensure parts will fit together on the first try, Capture engineering optimizations inherent in manufactured parts, Utilize modern manufacturing on parts that were originally manufactured before CAD, Compare ""as-designed"" model to ""as-built"" condition of manufactured parts.","This project implements a low-cost 3D laser scanning system. It uses a hand-held line laser and a standard webcam to capture the geometry of physical objects. The system processes the video feed in MATLAB to reconstruct a 3D digital model, providing an affordable alternative to expensive industrial 3D scanners.","Existing 3D scanning devices are often extremely high-cost and complex, making them inaccessible for many users who need to create 3D models of physical objects for design, manufacturing, or historical preservation.","A low-cost 3D laser scanning system that utilizes a standard webcam and a hand-held line laser. The system captures video of an object illuminated by a laser line, processes the data in MATLAB to extract 3D coordinates, and reconstructs a digital 3D model.","1. Improve overall productivity and workflow optimization.
2. Implement intelligent AI-based functionalities.
3. Develop a responsive and user-friendly web application.
4. Develop a scalable and maintainable solution.
5. Reduce operational complexity and improve efficiency.
6. Improve decision-making using artificial intelligence techniques.","3D Laser Scanning. 3D scanning is used in many applications such as entertainment industry, Historical Preservation, Engineering, Production, Interaction and Navigation and many applications. The aim of our project is creating a 3D image from a 3D model in the real world. Our project depends on using low cost tools such as laser that provides more accuracy results than other tools, and a camera (either webcam or digital camera for more accurate results). 3D scanning has many advantages such as Quickly capture all of the physical measurements of any physical object, Save time in design work, Ensure parts will fit together on the first try, Capture engineering optimizations inherent in manufactured parts, Utilize modern manufacturing on parts that were originally manufactured before CAD, Compare ""as-designed"" model to ""as-built"" condition of manufactured parts.. This project implements a low-cost 3D laser scanning system. It uses a hand-held line laser and a standard webcam to capture the geometry of physical objects. The system processes the video feed in MATLAB to reconstruct a 3D digital model, providing an affordable alternative to expensive industrial 3D scanners.",3d laser scanning. 3d scanning is used in many applications such as entertainment industry historical preservation engineering production interaction and navigation and many applications. the aim of our project is creating a 3d image from a 3d model in the real world. our project depends on using low cost tools such as laser that provides more accuracy results than other tools and a camera either webcam or digital camera for more accurate results . 3d scanning has many advantages such as quickly capture all of the physical measurements of any physical object save time in design work ensure parts will fit together on the first try capture engineering optimizations inherent in manufactured parts utilize modern manufacturing on parts that were originally manufactured before cad compare as-designed model to as-built condition of manufactured parts.. this project implements a low-cost 3d laser scanning system. it uses a hand-held line laser and a standard webcam to capture the geometry of physical objects. the system processes the video feed in matlab to reconstruct a 3d digital model providing an affordable alternative to expensive industrial 3d scanners.,182,"['historical preservation engineering', 'preservation engineering production', 'engineering production interaction', 'entertainment industry historical', 'industry historical preservation', 'laser scanning system']",100.0
3,,A Smart Automatic System for Criminal Identification,"Yousef Yacoub Mohammed, Ahmed Mohamed Hassan,
Omar Mahmoud Ali,
Youssef Tarek Ibrahim,
Karim Mostafa Abdelrahman,
Mahmoud Samir Hassan,
Abdelrahman Wael Mohamed",2020,"The increasing use of biometric technologies in high security applications has created the requirement for highly accurate face recognition systems. This project presents a real-time face recognition system using an automated surveillance camera. The system utilizes Haar-classifier for face detection and a Convolutional Neural Network (CNN) for face recognition. The proposed system achieves an accuracy of 5% on a dataset of 20, 000 images, providing a robust and efficient alternative to traditional identification methods like ID cards.","This project develops an automated criminal identification system designed for government institutions and high-security areas like airports. By replacing traditional, easily forged ID cards with biometric facial recognition, the system provides a faster, more secure, and reliable method for verifying identities in real-time using surveillance camera feeds.","Traditional identification methods, such as physical ID cards, driver's licenses, and ATM cards, are prone to forgery, theft, and impersonation, leading to security vulnerabilities in governmental and high-security environments.","A real-time facial recognition system developed for the Android platform that captures images via camera, detects faces using Haar Cascades, and identifies individuals by comparing extracted facial features against a secure database using a Convolutional Neural Network (CNN).","1. Support future scalability and feature expansion.
2. Implement modern technologies and best practices.
3. Enhance user experience and usability.
4. Enhance system security and protect sensitive user data.
5. Improve decision-making using artificial intelligence techniques.
6. Provide accurate and reliable functionality.","A Smart Automatic System for Criminal Identification. The increasing use of biometric technologies in high security applications has created the requirement for highly accurate face recognition systems. This project presents a real-time face recognition system using an automated surveillance camera. The system utilizes Haar-classifier for face detection and a Convolutional Neural Network (CNN) for face recognition. The proposed system achieves an accuracy of 5% on a dataset of 20, 000 images, providing a robust and efficient alternative to traditional identification methods like ID cards.. This project develops an automated criminal identification system designed for government institutions and high-security areas like airports. By replacing traditional, easily forged ID cards with biometric facial recognition, the system provides a faster, more secure, and reliable method for verifying identities in real-time using surveillance camera feeds.",a smart automatic system for criminal identification. the increasing use of biometric technologies in high security applications has created the requirement for highly accurate face recognition systems. this project presents a real-time face recognition system using an automated surveillance camera. the system utilizes haar-classifier for face detection and a convolutional neural network cnn for face recognition. the proposed system achieves an accuracy of 5 on a dataset of 20 000 images providing a robust and efficient alternative to traditional identification methods like id cards.. this project develops an automated criminal identification system designed for government institutions and high-security areas like airports. by replacing traditional easily forged id cards with biometric facial recognition the system provides a faster more secure and reliable method for verifying identities in real-time using surveillance camera feeds.,131,"['real-time face recognition', 'high security applications', 'accurate face recognition', 'face recognition systems', 'criminal identification', 'smart automatic system', 'highly accurate face', 'surveillance camera']",100.0
4,,Advanced Educational Platform ,"Mohamed Nasser Maher, Karim Ashraf Salah Eldien, Fares Ahmed Omran, Ali Shaban Mohamed, Pola Reda Abu Elkher Atya, Omar Mohamed Saber, Kyrillos Safwat Ibrahim",2025,"The Educational Platform for Students and Teachers is an advanced e-learning system designed to streamline online education by providing a structured and interactive learning environment. This platform enables students to purchase and access recorded courses, participate in both free and paid assessments, and track their progress through personalized dashboards. By incorporating a role-based management system, teachers, organizers, and administrators can efficiently oversee course content, manage tests, and handle user interactions. One of the key aspects of the platform is its secure payment integration, allowing students to enroll in paid courses with confidence while ensuring safe and seamless transactions. Additionally, the system features automated notifications for class schedules, assignment deadlines, and platform updates, enhancing user engagement and productivity.","ABSTHALK is a comprehensive, role-based e-learning platform designed to bridge the gap between traditional and digital education. It provides a centralized hub for students to access high-quality educational content, while offering educators and administrators robust tools for course management, test creation, and performance tracking. The platform emphasizes security, scalability, and user engagement through features like integrated payment gateways, real-time notifications, and intuitive, responsive user interfaces.","Traditional learning methods often lack accessibility, flexibility, and engagement. Existing e-learning platforms frequently suffer from disorganized content, lack of role-based access control, insecure payment methods, absence of real-time notifications, and scalability issues that lead to poor performance and user experience.","The project proposes a structured, role-based, and interactive web-based platform built with modern technologies (Laravel, AngularJS, MySQL). It introduces a secure payment integration (Stripe), a custom-built notification engine for real-time updates, and a clean, responsive UI to ensure a seamless and scalable learning experience for all user roles.","1. Provide interactive educational tools and resources.
2. Enable real-time monitoring and tracking capabilities.
3. Improve system performance and reliability.
4. Optimize resource allocation and task management.
5. Implement modern technologies and best practices.
6. Improve overall productivity and workflow optimization.","Advanced Educational Platform . The Educational Platform for Students and Teachers is an advanced e-learning system designed to streamline online education by providing a structured and interactive learning environment. This platform enables students to purchase and access recorded courses, participate in both free and paid assessments, and track their progress through personalized dashboards. By incorporating a role-based management system, teachers, organizers, and administrators can efficiently oversee course content, manage tests, and handle user interactions. One of the key aspects of the platform is its secure payment integration, allowing students to enroll in paid courses with confidence while ensuring safe and seamless transactions. Additionally, the system features automated notifications for class schedules, assignment deadlines, and platform updates, enhancing user engagement and productivity.. ABSTHALK is a comprehensive, role-based e-learning platform designed to bridge the gap between traditional and digital education. It provides a centralized hub for students to access high-quality educational content, while offering educators and administrators robust tools for course management, test creation, and performance tracking. The platform emphasizes security, scalability, and user engagement through features like integrated payment gateways, real-time notifications, and intuitive, responsive user interfaces.",advanced educational platform . the educational platform for students and teachers is an advanced e-learning system designed to streamline online education by providing a structured and interactive learning environment. this platform enables students to purchase and access recorded courses participate in both free and paid assessments and track their progress through personalized dashboards. by incorporating a role-based management system teachers organizers and administrators can efficiently oversee course content manage tests and handle user interactions. one of the key aspects of the platform is its secure payment integration allowing students to enroll in paid courses with confidence while ensuring safe and seamless transactions. additionally the system features automated notifications for class schedules assignment deadlines and platform updates enhancing user engagement and productivity.. absthalk is a comprehensive role-based e-learning platform designed to bridge the gap between traditional and digital education. it provides a centralized hub for students to access high-quality educational content while offering educators and administrators robust tools for course management test creation and performance tracking. the platform emphasizes security scalability and user engagement through features like integrated payment gateways real-time notifications and intuitive responsive user interfaces.,186,"['interactive learning environment', 'advanced educational platform', 'e-learning platform designed', 'streamline online education', 'advanced e-learning system', 'structured and interactive', 'system teachers organizers', 'management system teachers', 'platform enables students', 'providing a structured']",51.86
5,,Agricultural Information and Management System,"Ahmed Mohamed, Omar Hassan, Mahmoud Ali ,Mazen Ahmed",2020,"It is a permanent link between the decision-maker (the Ministry of Agriculture) and the landowners of those cultivated acres, which include the ownership of land, the cultivated crop and the average production per acre. Which leads to the success of the application of agricultural tenure and its encouragement and use in the best possible way.","This project is an integrated information system designed to bridge the gap between the Ministry of Agriculture and farmers. It serves as a centralized database to track land ownership, crop types, and production metrics, facilitating better decision-making and resource management in the agricultural sector.",The competent authorities of the Ministry of Agriculture of the governorates suffer from a lack of information about farmers and cultivated lands for those farmers and the quality of the crops grown for them in each annual season and the difficulty of knowing the productivity of those agricultural lands and knowing the area of cultivated land due to urban sprawl.,"The development of an integrated information system and database that enables officials to monitor agricultural tenure, track land productivity, and provide necessary services to farmers to improve agricultural output and economic development.","1. Reduce operational complexity and improve efficiency.
2. Optimize resource allocation and task management.
3. Improve system performance and reliability.
4. Enhance user experience and usability.
5. Develop a scalable and maintainable solution.","Agricultural Information and Management System. It is a permanent link between the decision-maker (the Ministry of Agriculture) and the landowners of those cultivated acres, which include the ownership of land, the cultivated crop and the average production per acre. Which leads to the success of the application of agricultural tenure and its encouragement and use in the best possible way.. This project is an integrated information system designed to bridge the gap between the Ministry of Agriculture and farmers. It serves as a centralized database to track land ownership, crop types, and production metrics, facilitating better decision-making and resource management in the agricultural sector.",agricultural information and management system. it is a permanent link between the decision-maker the ministry of agriculture and the landowners of those cultivated acres which include the ownership of land the cultivated crop and the average production per acre. which leads to the success of the application of agricultural tenure and its encouragement and use in the best possible way.. this project is an integrated information system designed to bridge the gap between the ministry of agriculture and farmers. it serves as a centralized database to track land ownership crop types and production metrics facilitating better decision-making and resource management in the agricultural sector.,104,"['integrated information system', 'information system designed', 'decision-maker the ministry', 'agricultural information', 'ministry of agriculture', 'agriculture and farmers', 'track land ownership', 'ownership crop types', 'land ownership crop', 'management system', 'cultivated acres', 'cultivated crop', 'permanent link']",99.99
6,,Agriculture Information System,"Mostafa Abdelfadil Abdelfadil, Moaz Abdo Abdullah, Mostafa Abdelmohsen Hassanin, Nageeb Antar Nageeb, Hady Mohammed Agha",2020,"Agriculture is the most important field in our country and a significant source of income in Egypt. This project introduces an Agriculture Information System designed to support the agricultural sector by providing comprehensive information about crops, their diseases, and modern technological advancements. The system utilizes Machine Learning and AI to diagnose plant diseases by analyzing images of leaves, helping farmers improve crop quality and productivity.","The Agriculture Information System is a comprehensive platform aimed at modernizing agricultural practices in Egypt. It serves as an educational and diagnostic tool that provides farmers and agricultural engineers with insights into crop care, disease prevention, and the integration of modern technologies like AI, Data Mining, and IoT. The system features a disease prediction module that identifies plant health issues from leaf images, alongside a knowledge base for crop management.","Agricultural engineers and farmers struggle to keep up with modern technological advancements and face significant difficulties in accurately diagnosing and predicting plant diseases, which negatively impacts crop quality and national agricultural output.","A web-based information system that integrates AI and Machine Learning to provide accurate agricultural data and automated plant disease detection. The system offers a diagnostic tool for leaf analysis, guidance on modern farming techniques, and information on climate-resilient agricultural practices.","1. Enhance healthcare efficiency and accessibility.
2. Improve learning experience and educational accessibility.
3. Improve patient monitoring and healthcare management.
4. Support future scalability and feature expansion.
5. Develop a scalable and maintainable solution.
6. Implement modern technologies and best practices.
7. Train and optimize machine learning algorithms.
8. Reduce operational complexity and improve efficiency.","Agriculture Information System. Agriculture is the most important field in our country and a significant source of income in Egypt. This project introduces an Agriculture Information System designed to support the agricultural sector by providing comprehensive information about crops, their diseases, and modern technological advancements. The system utilizes Machine Learning and AI to diagnose plant diseases by analyzing images of leaves, helping farmers improve crop quality and productivity.. The Agriculture Information System is a comprehensive platform aimed at modernizing agricultural practices in Egypt. It serves as an educational and diagnostic tool that provides farmers and agricultural engineers with insights into crop care, disease prevention, and the integration of modern technologies like AI, Data Mining, and IoT. The system features a disease prediction module that identifies plant health issues from leaf images, alongside a knowledge base for crop management.",agriculture information system. agriculture is the most important field in our country and a significant source of income in egypt. this project introduces an agriculture information system designed to support the agricultural sector by providing comprehensive information about crops their diseases and modern technological advancements. the system utilizes machine learning and ai to diagnose plant diseases by analyzing images of leaves helping farmers improve crop quality and productivity.. the agriculture information system is a comprehensive platform aimed at modernizing agricultural practices in egypt. it serves as an educational and diagnostic tool that provides farmers and agricultural engineers with insights into crop care disease prevention and the integration of modern technologies like ai data mining and iot. the system features a disease prediction module that identifies plant health issues from leaf images alongside a knowledge base for crop management.,138,"['providing comprehensive information', 'agriculture information system', 'information system designed', 'significant source', 'source of income', 'income in egypt', 'important field']",76.67
7,,AI Presenter 'NexTalk',"Ahmed Mohammed Saeed Mohammed, Ahmed Mohammed Kassem Mohammed, Ahmed Mahmoud Mohammed Mohammed, Adham Ashraf Ebrahim Elganzoury, Khaled Abdelmohsen Sayed Mohammed, Mona Mohammed Hamdy Gomaa, Manar Hamada Elsayed Mahrous, Menna Allah Hesham Eraky",2024,"The realm of virtual communication is experiencing a revolution with the emergence of sophisticated virtual humans. NexTalk, our groundbreaking AI presenter, stands at the forefront of this transformation. By harnessing the power of advanced text-to-speech technology, NexTalk dynamically generates captivating spoken content from any textual input. NexTalk's magic lies in its masterful fusion of Natural Language Processing (NLP) and cutting-edge speech synthesis. This potent blend allows NexTalk to seamlessly transform written text into expressive and coherent spoken dialogue, imbued with natural cadence, intonation, and a range of emotions. Imagine a virtual presenter delivering your message with the perfect blend of authority, warmth, or excitement – NexTalk makes it possible.","NexTalk is an innovative AI-driven platform that transforms written text into dynamic, engaging video presentations featuring lifelike virtual avatars. By integrating advanced text-to-speech (TTS) models with real-time facial animation technology, the system synchronizes audio input with avatar expressions to create a realistic and immersive communication experience. The platform is designed for educators, businesses, and content creators to produce high-quality, personalized presentations that bridge language barriers and enhance audience engagement.","Traditional presentation methods are often static, text-heavy, and lack the emotional expressiveness required to maintain audience engagement. Furthermore, human presenters can be costly, and existing text-to-speech solutions often sound robotic and lack the visual synchronization necessary for a truly immersive experience.","NexTalk provides a comprehensive AI-powered solution that maps text input to natural-sounding speech and synchronizes it with 3D facial animations. The system allows users to customize avatars, supports multiple languages, and provides a user-friendly web interface for creating, editing, and sharing presentations, effectively replacing the need for physical presence in various scenarios.","1. Implement intelligent AI-based functionalities.
2. Enhance user experience and usability.
3. Develop a scalable and maintainable solution.
4. Improve system performance and reliability.
5. Improve decision-making using artificial intelligence techniques.
6. Support future scalability and feature expansion.
7. Improve overall productivity and workflow optimization.
8. Implement modern technologies and best practices.","AI Presenter 'NexTalk'. The realm of virtual communication is experiencing a revolution with the emergence of sophisticated virtual humans. NexTalk, our groundbreaking AI presenter, stands at the forefront of this transformation. By harnessing the power of advanced text-to-speech technology, NexTalk dynamically generates captivating spoken content from any textual input. NexTalk's magic lies in its masterful fusion of Natural Language Processing (NLP) and cutting-edge speech synthesis. This potent blend allows NexTalk to seamlessly transform written text into expressive and coherent spoken dialogue, imbued with natural cadence, intonation, and a range of emotions. Imagine a virtual presenter delivering your message with the perfect blend of authority, warmth, or excitement – NexTalk makes it possible.. NexTalk is an innovative AI-driven platform that transforms written text into dynamic, engaging video presentations featuring lifelike virtual avatars. By integrating advanced text-to-speech (TTS) models with real-time facial animation technology, the system synchronizes audio input with avatar expressions to create a realistic and immersive communication experience. The platform is designed for educators, businesses, and content creators to produce high-quality, personalized presentations that bridge language barriers and enhance audience engagement.",ai presenter nextalk . the realm of virtual communication is experiencing a revolution with the emergence of sophisticated virtual humans. nextalk our groundbreaking ai presenter stands at the forefront of this transformation. by harnessing the power of advanced text-to-speech technology nextalk dynamically generates captivating spoken content from any textual input. nextalk s magic lies in its masterful fusion of natural language processing nlp and cutting-edge speech synthesis. this potent blend allows nextalk to seamlessly transform written text into expressive and coherent spoken dialogue imbued with natural cadence intonation and a range of emotions. imagine a virtual presenter delivering your message with the perfect blend of authority warmth or excitement nextalk makes it possible.. nextalk is an innovative ai-driven platform that transforms written text into dynamic engaging video presentations featuring lifelike virtual avatars. by integrating advanced text-to-speech tts models with real-time facial animation technology the system synchronizes audio input with avatar expressions to create a realistic and immersive communication experience. the platform is designed for educators businesses and content creators to produce high-quality personalized presentations that bridge language barriers and enhance audience engagement.,182,"['dynamically generates captivating', 'sophisticated virtual humans', 'generates captivating spoken', 'emergence of sophisticated', 'experiencing a revolution', 'transforms written text', 'presenter stands']",100.0
8,,AI-Based Ransomware Detection System,"Hassan Ahmed Mahmoud,
Mostafa Khaled Ali,
Amr Yasser Ibrahim,
Tarek Mohamed Adel,
Ziad Samir Hassan,
Khaled Wael Mostafa",2024,"Ransomware has become a significant cybersecurity threat in recent years, causing severe disruptions and financial losses for individuals and organizations. To combat this growing menace, this project focuses on developing an AI-based detection system that can identify and classify ransomware with a high level of accuracy. By leveraging deep learning, machine learning techniques, and advanced feature extraction, the project aims to provide an effective solution to mitigate the risks associated with ransomware attacks.","The project is a dual-interface system (GUI and Web) designed to detect ransomware. It utilizes an Ada-boost classifier trained on PE header features to identify malicious files with 99% accuracy. The web interface allows users to register and upload files, which are then hashed and checked against the VirusTotal API to provide detailed threat intelligence, including MITRE ATT&CK data.","The increasing prevalence of ransomware attacks, which encrypt user data and demand payment, poses a severe threat to individuals and organizations, necessitating more effective and automated detection methods.",An AI-driven detection system that uses machine learning (specifically Ada-boost classifiers) to analyze file characteristics (PE headers) and integrates with the VirusTotal API to provide comprehensive threat analysis and classification for both individual files and folders.,"1. Train and optimize machine learning algorithms.
2. Develop a scalable and maintainable solution.
3. Support future scalability and feature expansion.
4. Provide accurate and reliable functionality.
5. Implement intelligent AI-based functionalities.
6. Improve accessibility across different devices and platforms.
7. Improve prediction accuracy using machine learning models.
8. Implement secure authentication and authorization mechanisms.","AI-Based Ransomware Detection System. Ransomware has become a significant cybersecurity threat in recent years, causing severe disruptions and financial losses for individuals and organizations. To combat this growing menace, this project focuses on developing an AI-based detection system that can identify and classify ransomware with a high level of accuracy. By leveraging deep learning, machine learning techniques, and advanced feature extraction, the project aims to provide an effective solution to mitigate the risks associated with ransomware attacks.. The project is a dual-interface system (GUI and Web) designed to detect ransomware. It utilizes an Ada-boost classifier trained on PE header features to identify malicious files with 99% accuracy. The web interface allows users to register and upload files, which are then hashed and checked against the VirusTotal API to provide detailed threat intelligence, including MITRE ATT&CK data.",ai-based ransomware detection system. ransomware has become a significant cybersecurity threat in recent years causing severe disruptions and financial losses for individuals and organizations. to combat this growing menace this project focuses on developing an ai-based detection system that can identify and classify ransomware with a high level of accuracy. by leveraging deep learning machine learning techniques and advanced feature extraction the project aims to provide an effective solution to mitigate the risks associated with ransomware attacks.. the project is a dual-interface system gui and web designed to detect ransomware. it utilizes an ada-boost classifier trained on pe header features to identify malicious files with 99 accuracy. the web interface allows users to register and upload files which are then hashed and checked against the virustotal api to provide detailed threat intelligence including mitre att ck data.,137,"['significant cybersecurity threat', 'ai-based ransomware detection', 'individuals and organizations', 'ransomware detection system', 'causing severe disruptions', 'ai-based detection system', 'recent years causing', 'years causing severe']",85.81
9,,Ai-powered Education,"Mohamed Mahmoud Ali, Mohamed Yasser Mohamed, Mohamed Emad Fathy, Mahmoud Ashraf Abdel-Salam, Omar Mohamed Mostafa, Mohamed Hesham EL-Sayed, Mohamed Wael Wahed",2024,"Due to the rapid spread of technology in our lives, it can be used to eliminate the traditional methods of the attendance system by using AI technology to speed up the process of taking attendance. This system aims to achieve this by using computer vision to identify students at the start of each lecture to minimize time wasted and cheating. We used the Haar Cascade algorithm to detect faces and CNN models to classify them, recording attendance in an Excel sheet. Additionally, the system monitors student concentration levels and analyzes facial expressions to gauge understanding and engagement, providing feedback to both students and educators.","The project is an AI-powered educational application designed to modernize classroom management. It replaces manual attendance with automated facial recognition, monitors student concentration during lectures, and analyzes facial expressions to assess student engagement and comprehension levels. By leveraging deep learning and computer vision, the system provides educators with data-driven insights to improve the learning environment.","Traditional attendance methods are time-consuming and prone to cheating. Furthermore, educators struggle to assess student engagement, concentration, and understanding in real-time, leading to a lack of actionable data to improve academic performance and learning outcomes.","A comprehensive system that utilizes a camera to perform real-time facial recognition for automated attendance tracking. The system also employs deep learning models to analyze student facial expressions and concentration levels, providing educators with feedback on student engagement and understanding throughout the lecture.","1. Improve system performance and reliability.
2. Develop a scalable and maintainable solution.
3. Support future scalability and feature expansion.
4. Reduce operational complexity and improve efficiency.
5. Implement intelligent AI-based functionalities.
6. Improve learning experience and educational accessibility.
7. Provide interactive educational tools and resources.","Ai-powered Education. Due to the rapid spread of technology in our lives, it can be used to eliminate the traditional methods of the attendance system by using AI technology to speed up the process of taking attendance. This system aims to achieve this by using computer vision to identify students at the start of each lecture to minimize time wasted and cheating. We used the Haar Cascade algorithm to detect faces and CNN models to classify them, recording attendance in an Excel sheet. Additionally, the system monitors student concentration levels and analyzes facial expressions to gauge understanding and engagement, providing feedback to both students and educators.. The project is an AI-powered educational application designed to modernize classroom management. It replaces manual attendance with automated facial recognition, monitors student concentration during lectures, and analyzes facial expressions to assess student engagement and comprehension levels. By leveraging deep learning and computer vision, the system provides educators with data-driven insights to improve the learning environment.",ai-powered education. due to the rapid spread of technology in our lives it can be used to eliminate the traditional methods of the attendance system by using ai technology to speed up the process of taking attendance. this system aims to achieve this by using computer vision to identify students at the start of each lecture to minimize time wasted and cheating. we used the haar cascade algorithm to detect faces and cnn models to classify them recording attendance in an excel sheet. additionally the system monitors student concentration levels and analyzes facial expressions to gauge understanding and engagement providing feedback to both students and educators.. the project is an ai-powered educational application designed to modernize classroom management. it replaces manual attendance with automated facial recognition monitors student concentration during lectures and analyzes facial expressions to assess student engagement and comprehension levels. by leveraging deep learning and computer vision the system provides educators with data-driven insights to improve the learning environment.,161,"['monitors student concentration', 'student concentration levels', 'analyzes facial expressions', 'system monitors student', 'ai-powered education', 'attendance system', 'taking attendance', 'computer vision']",56.37
10,,Alzheimer Diseases Detection and Classification,"Omar Ashraf Abdelshafy, Salma Essam Eid Mohamed, Rawan Mohamed Hilal, Maryam Mahmoud Elshahat, Menna tallah atef hafez",2024,"Alzheimer's Disease (AD) presents a significant global health challenge, with early detection being crucial for effective intervention and management. In this project, we propose a novel approach leveraging Convolutional Neural Networks (CNNs) for the automated detection of Alzheimer's disease from brain MRI images. The CNN model is trained on a dataset comprising MRI scans of both healthy individuals and patients diagnosed with Alzheimer's disease, enabling it to learn distinctive features indicative of the disease.","This project develops an AI-driven system for the automated detection and classification of Alzheimer's disease using brain MRI scans. The system utilizes deep learning models (CNNs) to classify images into four categories: mild demented, moderate demented, non-demented, and very mild demented. Additionally, the project includes a web-based application to assist healthcare professionals and caregivers in monitoring patient progress and managing care.","Healthcare professionals face significant challenges in diagnosing and managing Alzheimer's disease, as current diagnostic processes rely on subjective assessments and cognitive tests that are time-consuming and prone to errors. Furthermore, there is a lack of accessible tools for caregivers to monitor the well-being and daily activities of elderly patients.","The project proposes a robust Alzheimer's detection system leveraging Convolutional Neural Networks (CNNs) to analyze MRI images with high accuracy. The solution includes a web-based platform that integrates the AI model for diagnosis and provides features for caregivers, such as medication reminders, activity tracking, and educational resources to support elderly patients.","1. Provide accurate and reliable functionality.
2. Reduce operational complexity and improve efficiency.
3. Enhance healthcare efficiency and accessibility.
4. Develop a responsive and user-friendly web application.
5. Improve overall productivity and workflow optimization.
6. Improve system performance and reliability.
7. Enhance user experience and usability.
8. Implement intelligent AI-based functionalities.","Alzheimer Diseases Detection and Classification. Alzheimer's Disease (AD) presents a significant global health challenge, with early detection being crucial for effective intervention and management. In this project, we propose a novel approach leveraging Convolutional Neural Networks (CNNs) for the automated detection of Alzheimer's disease from brain MRI images. The CNN model is trained on a dataset comprising MRI scans of both healthy individuals and patients diagnosed with Alzheimer's disease, enabling it to learn distinctive features indicative of the disease.. This project develops an AI-driven system for the automated detection and classification of Alzheimer's disease using brain MRI scans. The system utilizes deep learning models (CNNs) to classify images into four categories: mild demented, moderate demented, non-demented, and very mild demented. Additionally, the project includes a web-based application to assist healthcare professionals and caregivers in monitoring patient progress and managing care.",alzheimer diseases detection and classification. alzheimer s disease ad presents a significant global health challenge with early detection being crucial for effective intervention and management. in this project we propose a novel approach leveraging convolutional neural networks cnns for the automated detection of alzheimer s disease from brain mri images. the cnn model is trained on a dataset comprising mri scans of both healthy individuals and patients diagnosed with alzheimer s disease enabling it to learn distinctive features indicative of the disease.. this project develops an ai-driven system for the automated detection and classification of alzheimer s disease using brain mri scans. the system utilizes deep learning models cnns to classify images into four categories mild demented moderate demented non-demented and very mild demented. additionally the project includes a web-based application to assist healthcare professionals and caregivers in monitoring patient progress and managing care.,144,"['alzheimer diseases detection', 'detection and classification', 'significant global health', 'global health challenge', 'alzheimer s disease', 'automated detection', 'early detection', 'brain mri scans']",72.06
11,,"Ambulance Drone [Arduino, Web, Android]","Magdy El-sayed Mohamed, Israa Ali Mohamed, Kareem Nagah Mostafa, Amira Mahmoud Hassan, Mahmoud Mohamed Fekry, Mostafa Samy Algendy",2016,"The main objective of this project is to serve the needy people of remote areas of the country with fast and easy health facilities and reduce death-rate. The specific objectives are to provide ambulances to remote areas, provide support to the staffs of medical centers for fast and emergency treatment of patients, and provide necessary basic medical equipment and first aid materials to health centers in the country.","The Ambulance Drone project is an integrated system designed to provide rapid emergency medical assistance to remote or hard-to-reach areas. It utilizes a quadcopter drone equipped with GPS and medical supplies, controlled via an Android application and a web interface. The system aims to bridge the gap in emergency response times, which are critical in life-threatening situations like heart attacks, by delivering aid or guidance before traditional ambulances can arrive.","Emergency medical services often face significant delays in reaching remote areas or navigating through traffic, which can be the difference between life and death, especially in time-sensitive cases like heart attacks where fatalities can occur within minutes.","A drone-based delivery and communication system that can fly at speeds up to 100 km/h to reach patients quickly. The drone is equipped with GPS for navigation, a camera for live streaming to a control room, and is controlled via an Android app and web interface to provide immediate medical support and deliver first aid materials.","1. Support future scalability and feature expansion.
2. Improve overall productivity and workflow optimization.
3. Implement intelligent AI-based functionalities.
4. Reduce operational complexity and improve efficiency.
5. Enhance healthcare efficiency and accessibility.","Ambulance Drone [Arduino, Web, Android]. The main objective of this project is to serve the needy people of remote areas of the country with fast and easy health facilities and reduce death-rate. The specific objectives are to provide ambulances to remote areas, provide support to the staffs of medical centers for fast and emergency treatment of patients, and provide necessary basic medical equipment and first aid materials to health centers in the country.. The Ambulance Drone project is an integrated system designed to provide rapid emergency medical assistance to remote or hard-to-reach areas. It utilizes a quadcopter drone equipped with GPS and medical supplies, controlled via an Android application and a web interface. The system aims to bridge the gap in emergency response times, which are critical in life-threatening situations like heart attacks, by delivering aid or guidance before traditional ambulances can arrive.",ambulance drone arduino web android . the main objective of this project is to serve the needy people of remote areas of the country with fast and easy health facilities and reduce death-rate. the specific objectives are to provide ambulances to remote areas provide support to the staffs of medical centers for fast and emergency treatment of patients and provide necessary basic medical equipment and first aid materials to health centers in the country.. the ambulance drone project is an integrated system designed to provide rapid emergency medical assistance to remote or hard-to-reach areas. it utilizes a quadcopter drone equipped with gps and medical supplies controlled via an android application and a web interface. the system aims to bridge the gap in emergency response times which are critical in life-threatening situations like heart attacks by delivering aid or guidance before traditional ambulances can arrive.,144,"['ambulance drone arduino', 'easy health facilities', 'facilities and reduce', 'areas provide support', 'remote areas provide', 'arduino web android', 'reduce death-rate', 'drone arduino web', 'serve the needy', 'main objective', 'fast and easy', 'needy people']",71.1
12,,An Educational Platform for Pre-University Education (E-Learning),"Mohamed Nabil Diab, Tarek Sameh Abd Elmaged, Mohamed Fawzy Mostafa Abase, Mohamed Abd Elsamed Awad, Mohamed Samir Mohamed mostaf, Mohamed Abd Alaty Alshaka",2021,"With the technological development that we have reached at the present time, communication has become easy among the general public, and it was worth doing this to use this communication in learning, so communication between the Teacher, students and parents in order to receive different sciences has become an imperative and this is what we seek to achieve through our project that aims To achieve communication using both websites, and accordingly the idea arose to achieve this for our school.","This project is an E-Learning platform designed to facilitate communication and educational resource sharing between teachers, students, and parents. It provides a centralized web-based environment where teachers can upload lessons (videos and documents), create assignments, and track student grades, while students can access materials, submit assignments, and communicate with teachers, and parents can monitor their children's academic progress.","The COVID-19 pandemic forced students to stay at home, highlighting the lack of dedicated platforms for educational material delivery. Teachers were forced to rely on social media for sharing content, which is disorganized and difficult for students to access, leading to challenges in tracking student progress, managing assignments, and maintaining effective communication between stakeholders.","A dedicated, centralized web-based E-Learning platform that provides a structured environment for teachers to upload educational content, manage assignments, and grade students. The system includes specific interfaces for students to access learning materials and for parents to track their children's performance, ensuring a streamlined and efficient educational process.","1. Enhance user experience and usability.
2. Implement intelligent AI-based functionalities.
3. Improve system performance and reliability.
4. Provide accurate and reliable functionality.
5. Improve accessibility across different devices and platforms.
6. Improve decision-making using artificial intelligence techniques.","An Educational Platform for Pre-University Education (E-Learning). With the technological development that we have reached at the present time, communication has become easy among the general public, and it was worth doing this to use this communication in learning, so communication between the Teacher, students and parents in order to receive different sciences has become an imperative and this is what we seek to achieve through our project that aims To achieve communication using both websites, and accordingly the idea arose to achieve this for our school.. This project is an E-Learning platform designed to facilitate communication and educational resource sharing between teachers, students, and parents. It provides a centralized web-based environment where teachers can upload lessons (videos and documents), create assignments, and track student grades, while students can access materials, submit assignments, and communicate with teachers, and parents can monitor their children's academic progress.",an educational platform for pre-university education e-learning . with the technological development that we have reached at the present time communication has become easy among the general public and it was worth doing this to use this communication in learning so communication between the teacher students and parents in order to receive different sciences has become an imperative and this is what we seek to achieve through our project that aims to achieve communication using both websites and accordingly the idea arose to achieve this for our school.. this project is an e-learning platform designed to facilitate communication and educational resource sharing between teachers students and parents. it provides a centralized web-based environment where teachers can upload lessons videos and documents create assignments and track student grades while students can access materials submit assignments and communicate with teachers and parents can monitor their children s academic progress.,147,"['pre-university education e-learning', 'e-learning platform designed', 'educational resource sharing', 'present time communication', 'receive different sciences', 'technological development', 'achieve communication', 'educational platform', 'arose to achieve', 'order to receive', 'seek to achieve', 'aims to achieve', 'general public', 'idea arose']",70.22
14,,An Intelligent System for Assessing Student Participation and Interaction,"Hossam Elsayed Mohamed Fakher, Khaled Emad-El-Din, Abdallah Hesham Abdallah, Zain-Elabdeen Khaled, Alshimaa Mahmoud Abdelghafar, Shimaa Maher Ahmed",2022,"In the modern era, different universities keep track of student attendance using face recognition verification system or manually. Attendance management is a daunting and important task. In this documentation, we focus on proposing a smart attendance management system based on facial recognition and also focuses on the student's participation during the lecture and checks whether the student is wearing a mask or not. We develop a mobile application for it to be used by both the student and the lecturer, where the student uses it to see the percentage of his attendance and participation in the lectures, and the lecturer can see reports on all the students. The system will register students and accept student attendance using this smart ID card, keeping all records for subsequent operations in the backend using the database.","This project is a mobile-based intelligent attendance and participation tracking system that utilizes facial recognition technology. It aims to replace traditional, time-consuming manual attendance methods with an automated, secure, and efficient biometric solution that monitors student presence and engagement throughout the duration of a lecture.","Traditional attendance systems are time-consuming, prone to errors, and suffer from the issue of students leaving lectures early after marking their initial attendance, leading to a loss of educational value and inaccurate data.","A mobile application integrated with a facial recognition backend that tracks student attendance and participation in real-time. The system uses biometric identification to ensure secure check-ins and check-outs, monitors mask compliance, and provides automated reporting for lecturers and attendance tracking for students.","1. Enable real-time monitoring and tracking capabilities.
2. Improve overall productivity and workflow optimization.
3. Develop a scalable and maintainable solution.
4. Implement modern technologies and best practices.
5. Improve system performance and reliability.
6. Implement intelligent AI-based functionalities.
7. Improve workflow and management efficiency.","An Intelligent System for Assessing Student Participation and Interaction. In the modern era, different universities keep track of student attendance using face recognition verification system or manually. Attendance management is a daunting and important task. In this documentation, we focus on proposing a smart attendance management system based on facial recognition and also focuses on the student's participation during the lecture and checks whether the student is wearing a mask or not. We develop a mobile application for it to be used by both the student and the lecturer, where the student uses it to see the percentage of his attendance and participation in the lectures, and the lecturer can see reports on all the students. The system will register students and accept student attendance using this smart ID card, keeping all records for subsequent operations in the backend using the database.. This project is a mobile-based intelligent attendance and participation tracking system that utilizes facial recognition technology. It aims to replace traditional, time-consuming manual attendance methods with an automated, secure, and efficient biometric solution that monitors student presence and engagement throughout the duration of a lecture.",an intelligent system for assessing student participation and interaction. in the modern era different universities keep track of student attendance using face recognition verification system or manually. attendance management is a daunting and important task. in this documentation we focus on proposing a smart attendance management system based on facial recognition and also focuses on the student s participation during the lecture and checks whether the student is wearing a mask or not. we develop a mobile application for it to be used by both the student and the lecturer where the student uses it to see the percentage of his attendance and participation in the lectures and the lecturer can see reports on all the students. the system will register students and accept student attendance using this smart id card keeping all records for subsequent operations in the backend using the database.. this project is a mobile-based intelligent attendance and participation tracking system that utilizes facial recognition technology. it aims to replace traditional time-consuming manual attendance methods with an automated secure and efficient biometric solution that monitors student presence and engagement throughout the duration of a lecture.,188,"['assessing student participation', 'recognition verification system', 'face recognition verification', 'attendance management system', 'smart attendance management', 'accept student attendance', 'facial recognition']",45.69
15,,Android Based Visual Product Identification For Visually Impaired People,"Abdelaziz Ibrahim Abdelaziz Wahman, Abdelrahman Ahmed Fekry Hussein, Abdelfattah Samy Abdelfattah Mohamed, Abdelrahim Fathy Abdelrahim Gabr, Ahmed Mohamed Abdelhamed Eid, Mahitab Atef Mohamed Osman",2019,"Many of the visually impaired people face many problems while purchasing products such as difficult to distinguish between the products and identifying the product details to be purchased in terms of product name, product price and expiration date and etc. Therefore, Our System is developed to make the life of visually impaired people easy. We have developed an android mobile application system based on mobile camera to scan the barcode behind the image and read the description of the product with the help of Id stored in the barcode, And voice recognition to interact with the system. In general, System can be app on any device with camera as : Mobile, Drones, Robots and Smart Glasses. At present we used the mobile camera to develop our system, All the user needs to do is capture the image on the product in the mobile phone which then resolves the barcode which means it scans the image to find out the Id stored, then it will read the details of product like name, description, price and expiry date. Our system was not limited to knowing the product data, we provided it with many features to help the visually impaired in particular as well such as : Map : Visually Impaired people can locate the nearest supermarket to go and locate their locations if they can not know where they are. Emergency : Visually Impaired people can call the emergency number (It could be the number of a relative or a friend close to him) when they get into trouble. Electronic Payment : When Visually Impaired people decide to buy any product they can pay via electronic wallet. The proposed application can also be implemented in any shopping center, supermarket, bookstores, medical stores, etc.","According to the Globe Health Organization, there are around 253 million folks live with vision impairment, 36 million are blind and 217 million have moderate to severe vision impairment. There'll be several possibilities of cheating. To make them freelance and that they should personally understand the whole product purchased by them we are planning to develop these projects. This is so helpful just in case of finding out details of foodstuff to the blind folks and therefore helping them when deciding to buy a product. Visually impaired and blind people suffer from identifying products because of: Difficulty distinguishing between the packaged goods. identifying any product, they wish to learn more about before purchasing it. can't decide whether to purchase a product or not. Difficulty determining if products are expired. Several possibilities of cheating. Not knowing the original price of the products","Visually impaired and blind people suffer from identifying products because of: Difficulty distinguishing between the packaged goods. identifying any product, they wish to learn more about before purchasing it. can't decide whether to purchase a product or not. Difficulty determining if products are expired. Several possibilities of cheating. Not knowing the original price of the products","We have developed an android mobile application system based on mobile camera to scan the barcode behind the image and read the description of the product with the help of Id stored in the barcode, And voice recognition to interact with the system. In general, System can be app on any device with camera as : Mobile, Drones, Robots and Smart Glasses. At present we used the mobile camera to develop our system, All the user needs to do is capture the image on the product in the mobile phone which then resolves the barcode which means it scans the image to find out the Id stored, then it will read the details of product like name, description, price and expiry date.","1. Improve overall productivity and workflow optimization.
2. Implement modern technologies and best practices.
3. Develop a scalable and maintainable solution.
4. Improve decision-making using artificial intelligence techniques.
5. Enhance healthcare efficiency and accessibility.","Android Based Visual Product Identification For Visually Impaired People. Many of the visually impaired people face many problems while purchasing products such as difficult to distinguish between the products and identifying the product details to be purchased in terms of product name, product price and expiration date and etc. Therefore, Our System is developed to make the life of visually impaired people easy. We have developed an android mobile application system based on mobile camera to scan the barcode behind the image and read the description of the product with the help of Id stored in the barcode, And voice recognition to interact with the system. In general, System can be app on any device with camera as : Mobile, Drones, Robots and Smart Glasses. At present we used the mobile camera to develop our system, All the user needs to do is capture the image on the product in the mobile phone which then resolves the barcode which means it scans the image to find out the Id stored, then it will read the details of product like name, description, price and expiry date. Our system was not limited to knowing the product data, we provided it with many features to help the visually impaired in particular as well such as : Map : Visually Impaired people can locate the nearest supermarket to go and locate their locations if they can not know where they are. Emergency : Visually Impaired people can call the emergency number (It could be the number of a relative or a friend close to him) when they get into trouble. Electronic Payment : When Visually Impaired people decide to buy any product they can pay via electronic wallet. The proposed application can also be implemented in any shopping center, supermarket, bookstores, medical stores, etc.. According to the Globe Health Organization, there are around 253 million folks live with vision impairment, 36 million are blind and 217 million have moderate to severe vision impairment. There'll be several possibilities of cheating. To make them freelance and that they should personally understand the whole product purchased by them we are planning to develop these projects. This is so helpful just in case of finding out details of foodstuff to the blind folks and therefore helping them when deciding to buy a product. Visually impaired and blind people suffer from identifying products because of: Difficulty distinguishing between the packaged goods. identifying any product, they wish to learn more about before purchasing it. can't decide whether to purchase a product or not. Difficulty determining if products are expired. Several possibilities of cheating. Not knowing the original price of the products",android based visual product identification for visually impaired people. many of the visually impaired people face many problems while purchasing products such as difficult to distinguish between the products and identifying the product details to be purchased in terms of product name product price and expiration date and etc. therefore our system is developed to make the life of visually impaired people easy. we have developed an android mobile application system based on mobile camera to scan the barcode behind the image and read the description of the product with the help of id stored in the barcode and voice recognition to interact with the system. in general system can be app on any device with camera as mobile drones robots and smart glasses. at present we used the mobile camera to develop our system all the user needs to do is capture the image on the product in the mobile phone which then resolves the barcode which means it scans the image to find out the id stored then it will read the details of product like name description price and expiry date. our system was not limited to knowing the product data we provided it with many features to help the visually impaired in particular as well such as map visually impaired people can locate the nearest supermarket to go and locate their locations if they can not know where they are. emergency visually impaired people can call the emergency number it could be the number of a relative or a friend close to him when they get into trouble. electronic payment when visually impaired people decide to buy any product they can pay via electronic wallet. the proposed application can also be implemented in any shopping center supermarket bookstores medical stores etc.. according to the globe health organization there are around 253 million folks live with vision impairment 36 million are blind and 217 million have moderate to severe vision impairment. there ll be several possibilities of cheating. to make them freelance and that they should personally understand the whole product purchased by them we are planning to develop these projects. this is so helpful just in case of finding out details of foodstuff to the blind folks and therefore helping them when deciding to buy a product. visually impaired and blind people suffer from identifying products because of difficulty distinguishing between the packaged goods. identifying any product they wish to learn more about before purchasing it. can t decide whether to purchase a product or not. difficulty determining if products are expired. several possibilities of cheating. not knowing the original price of the products,438,"['visual product identification', 'emergency visually impaired', 'visually impaired people', 'impaired people decide', 'map visually impaired', 'based visual product', 'android based visual', 'impaired people face', 'impaired people easy']",96.79
16,,Android Developers Community (ADC),"Khloud Mahmoud Saad, Mai Abdelgaid Mohamed Salman",2015,"The Android Developers Community (ADC) is a collaborative platform designed to empower developers by providing a centralized repository for APIs and source code. The system facilitates knowledge sharing, allowing users to view, create, save, and edit code snippets while fostering a community-driven environment for mobile application development.","ADC is a mobile-based platform that serves as a hub for Android developers. It allows users to manage their own code, share resources with peers, and maintain a list of favorite APIs. The system is designed to streamline the development process by providing easy access to shared code and collaborative tools.","Developers often struggle with finding reliable, shared source code and APIs, and lack a centralized, collaborative platform to manage and share their own code snippets with peers effectively.","A mobile application that acts as a community-driven repository where developers can upload, share, and organize source code and APIs, enabling a collaborative ecosystem for mobile development.","1. Support future scalability and feature expansion.
2. Implement intelligent AI-based functionalities.
3. Develop a scalable and maintainable solution.
4. Provide accurate and reliable functionality.
5. Improve system performance and reliability.
6. Reduce operational complexity and improve efficiency.
7. Improve decision-making using artificial intelligence techniques.
8. Implement modern technologies and best practices.","Android Developers Community (ADC). The Android Developers Community (ADC) is a collaborative platform designed to empower developers by providing a centralized repository for APIs and source code. The system facilitates knowledge sharing, allowing users to view, create, save, and edit code snippets while fostering a community-driven environment for mobile application development.. ADC is a mobile-based platform that serves as a hub for Android developers. It allows users to manage their own code, share resources with peers, and maintain a list of favorite APIs. The system is designed to streamline the development process by providing easy access to shared code and collaborative tools.",android developers community adc . the android developers community adc is a collaborative platform designed to empower developers by providing a centralized repository for apis and source code. the system facilitates knowledge sharing allowing users to view create save and edit code snippets while fostering a community-driven environment for mobile application development.. adc is a mobile-based platform that serves as a hub for android developers. it allows users to manage their own code share resources with peers and maintain a list of favorite apis. the system is designed to streamline the development process by providing easy access to shared code and collaborative tools.,103,"['mobile application development.', 'collaborative platform designed', 'facilitates knowledge sharing', 'android developers community', 'knowledge sharing allowing', 'developers community adc', 'centralized repository', 'sharing allowing users', 'designed to empower', 'empower developers', 'view create save', 'source code']",100.0
17,,Anti-Virus Software (BugsBunny),"Kareem Ashraf Mahmoud, Mahmoud Ahmed Nabil, Mohamed Ehab Mahmoud Abd Elkader, Abd Alrahman Morsy Abd Elhakim, Salwa Osama Mohamed Almahdey, Nourhan Moemn Bakr Said, Khaled Hamdy Saed Abd Elghany",2024,"The Antivirus Project is a comprehensive cybersecurity solution meticulously crafted to ensure users enjoy seamless interaction while being shielded against a multitude of malware threats. Utilizing advanced techniques such as signature-based detection, behavioural analysis, and real-time scanning, the system adeptly identifies and neutralizes potential threats. Beyond traditional scanning of files and URLs, the project boasts sophisticated features like file encryption and decryption, fostering a secure environment for data management. The integration of a user-friendly chatbot elevates the user experience by promptly addressing queries and providing valuable insights. We are committed to prioritizing the implementation of a sexual content blocker and a password manager within the project timeline, with a contingency plan to address them in the future if necessary. This strategic approach fortifies the user's digital defence, encouraging a proactive stance toward online security. In essence, the Antivirus Project not only safeguards user devices but also empowers users with knowledge to enhance their own cybersecurity.","BugsBunny is a desktop-based antivirus application designed to provide comprehensive protection against malware. It combines signature-based, behavior-based, and heuristic analysis to detect threats. The application includes a sandbox environment for analyzing suspicious files, file encryption/decryption tools, and an integrated chatbot for user support and security guidance. It is designed with a user-friendly interface, specifically targeting the Arabic-speaking region.","The persistent threat posed by malware to computer systems, networks, and data, which can lead to compromised system integrity, unauthorized access, data breaches, financial losses, and operational downtime.","A robust, user-friendly desktop antivirus application named 'BugsBunny' that utilizes multi-layered detection (signature, behavior, heuristic), real-time monitoring, sandbox analysis, and additional security features like file encryption and a support chatbot.","1. Enhance system security and protect sensitive user data.
2. Enhance user experience and usability.
3. Optimize resource allocation and task management.
4. Improve decision-making using artificial intelligence techniques.
5. Generate accurate analytical insights and visualizations.","Anti-Virus Software (BugsBunny). The Antivirus Project is a comprehensive cybersecurity solution meticulously crafted to ensure users enjoy seamless interaction while being shielded against a multitude of malware threats. Utilizing advanced techniques such as signature-based detection, behavioural analysis, and real-time scanning, the system adeptly identifies and neutralizes potential threats. Beyond traditional scanning of files and URLs, the project boasts sophisticated features like file encryption and decryption, fostering a secure environment for data management. The integration of a user-friendly chatbot elevates the user experience by promptly addressing queries and providing valuable insights. We are committed to prioritizing the implementation of a sexual content blocker and a password manager within the project timeline, with a contingency plan to address them in the future if necessary. This strategic approach fortifies the user's digital defence, encouraging a proactive stance toward online security. In essence, the Antivirus Project not only safeguards user devices but also empowers users with knowledge to enhance their own cybersecurity.. BugsBunny is a desktop-based antivirus application designed to provide comprehensive protection against malware. It combines signature-based, behavior-based, and heuristic analysis to detect threats. The application includes a sandbox environment for analyzing suspicious files, file encryption/decryption tools, and an integrated chatbot for user support and security guidance. It is designed with a user-friendly interface, specifically targeting the Arabic-speaking region.",anti-virus software bugsbunny . the antivirus project is a comprehensive cybersecurity solution meticulously crafted to ensure users enjoy seamless interaction while being shielded against a multitude of malware threats. utilizing advanced techniques such as signature-based detection behavioural analysis and real-time scanning the system adeptly identifies and neutralizes potential threats. beyond traditional scanning of files and urls the project boasts sophisticated features like file encryption and decryption fostering a secure environment for data management. the integration of a user-friendly chatbot elevates the user experience by promptly addressing queries and providing valuable insights. we are committed to prioritizing the implementation of a sexual content blocker and a password manager within the project timeline with a contingency plan to address them in the future if necessary. this strategic approach fortifies the user s digital defence encouraging a proactive stance toward online security. in essence the antivirus project not only safeguards user devices but also empowers users with knowledge to enhance their own cybersecurity.. bugsbunny is a desktop-based antivirus application designed to provide comprehensive protection against malware. it combines signature-based behavior-based and heuristic analysis to detect threats. the application includes a sandbox environment for analyzing suspicious files file encryption/decryption tools and an integrated chatbot for user support and security guidance. it is designed with a user-friendly interface specifically targeting the arabic-speaking region.,218,"['comprehensive cybersecurity solution', 'cybersecurity solution meticulously', 'solution meticulously crafted', 'anti-virus software bugsbunny', 'neutralizes potential threats', 'enjoy seamless interaction', 'users enjoy seamless', 'ensure users enjoy', 'crafted to ensure', 'antivirus project']",100.0
18,,Application System for Distance Learning,"Ahmed Talaat Farouk Mahrous, Ahmed Ali Abdelhamid Mohamed Hassan, Amin Mahmoud Ibrahim Mohamed, Ibrahim Mohamed Ibrahim Elsayed, Ahmed Hamada Hassan Abdelmoty Ali, Amira Bahaa Shawky Khattab",2022,"The Popularity of mobile phones devices is growing so fast. These mobile devices represent a new generation of technology tools that provide access to content, and they are used by adults and young children. Due to that growing market of mobile devices it leads to use it in various ways in our daily lives one of these ways in learning filed and there's a very big growth in educational applications that is used in improvement of the educational process and it made a very big impact role in the early days because of the pandemic of the corona virus which leads the students to stay at home and these applications used as a channel for the teachers to communicate with their students and don't stop the learning process. In our application system for distance learning the applications provide an excellent way for students to use it in their educational life with a simpler way to access their study materials and watching educational videos for making their studying very easy and fun with more simpler in understanding their subjects with graphical videos to illustrate the topic in a more helpful way and help the students with difficulty in learning to improve their level, after each video in any topic we provide questions to test the students understanding supported with pictures and there is also questions supported with voice in another way. In our application we give the teachers an easy way for observing and supervising their students learning process, it enables the teachers to creating video rooms with chatting options to give them an easy way for connecting with their students and uploading videos with a brief note to help the students to study their subjects and it helps them a lot in interacting directly with their students without any difficulty.","When the student enters the application, he is asked to enter his initial data to create his own account, and then he enters the main page, where he looks at general information about subjects that he wants to learn and practice on them, and then he can watch videos about any subject he wants with an illustrative way and more simpler, and after he finish the videos on some topic he can solve the questions on that lesson to test his knowledge and understanding, after that he can download the study materials of his teacher to revise them at any time he wants, our application gives the teacher a very easy way for interacting with his student and know his educational level and his knowledge, the teacher can support him with videos to help him in his learning difficulties to overcome it.","Traditional educational systems often face limitations regarding accessibility, rigid scheduling, and the inability to provide personalized support for students with diverse learning needs. Furthermore, the rapid evolution of knowledge requires a dynamic platform that allows for continuous updates and effective monitoring of student progress by both teachers and parents.","The proposed application provides a comprehensive distance learning platform that enables students to access study materials, watch illustrative educational videos, and complete interactive assessments at their own pace. It facilitates seamless communication between teachers and students through video rooms and chat features, while providing tools for teachers to monitor student performance and offer targeted support to overcome specific learning difficulties.","1. Support future scalability and feature expansion.
2. Improve overall productivity and workflow optimization.
3. Enhance user experience and usability.
4. Improve mobile application usability and performance.
5. Implement intelligent AI-based functionalities.
6. Develop a scalable and maintainable solution.","Application System for Distance Learning. The Popularity of mobile phones devices is growing so fast. These mobile devices represent a new generation of technology tools that provide access to content, and they are used by adults and young children. Due to that growing market of mobile devices it leads to use it in various ways in our daily lives one of these ways in learning filed and there's a very big growth in educational applications that is used in improvement of the educational process and it made a very big impact role in the early days because of the pandemic of the corona virus which leads the students to stay at home and these applications used as a channel for the teachers to communicate with their students and don't stop the learning process. In our application system for distance learning the applications provide an excellent way for students to use it in their educational life with a simpler way to access their study materials and watching educational videos for making their studying very easy and fun with more simpler in understanding their subjects with graphical videos to illustrate the topic in a more helpful way and help the students with difficulty in learning to improve their level, after each video in any topic we provide questions to test the students understanding supported with pictures and there is also questions supported with voice in another way. In our application we give the teachers an easy way for observing and supervising their students learning process, it enables the teachers to creating video rooms with chatting options to give them an easy way for connecting with their students and uploading videos with a brief note to help the students to study their subjects and it helps them a lot in interacting directly with their students without any difficulty.. When the student enters the application, he is asked to enter his initial data to create his own account, and then he enters the main page, where he looks at general information about subjects that he wants to learn and practice on them, and then he can watch videos about any subject he wants with an illustrative way and more simpler, and after he finish the videos on some topic he can solve the questions on that lesson to test his knowledge and understanding, after that he can download the study materials of his teacher to revise them at any time he wants, our application gives the teacher a very easy way for interacting with his student and know his educational level and his knowledge, the teacher can support him with videos to help him in his learning difficulties to overcome it.",application system for distance learning. the popularity of mobile phones devices is growing so fast. these mobile devices represent a new generation of technology tools that provide access to content and they are used by adults and young children. due to that growing market of mobile devices it leads to use it in various ways in our daily lives one of these ways in learning filed and there s a very big growth in educational applications that is used in improvement of the educational process and it made a very big impact role in the early days because of the pandemic of the corona virus which leads the students to stay at home and these applications used as a channel for the teachers to communicate with their students and don t stop the learning process. in our application system for distance learning the applications provide an excellent way for students to use it in their educational life with a simpler way to access their study materials and watching educational videos for making their studying very easy and fun with more simpler in understanding their subjects with graphical videos to illustrate the topic in a more helpful way and help the students with difficulty in learning to improve their level after each video in any topic we provide questions to test the students understanding supported with pictures and there is also questions supported with voice in another way. in our application we give the teachers an easy way for observing and supervising their students learning process it enables the teachers to creating video rooms with chatting options to give them an easy way for connecting with their students and uploading videos with a brief note to help the students to study their subjects and it helps them a lot in interacting directly with their students without any difficulty.. when the student enters the application he is asked to enter his initial data to create his own account and then he enters the main page where he looks at general information about subjects that he wants to learn and practice on them and then he can watch videos about any subject he wants with an illustrative way and more simpler and after he finish the videos on some topic he can solve the questions on that lesson to test his knowledge and understanding after that he can download the study materials of his teacher to revise them at any time he wants our application gives the teacher a very easy way for interacting with his student and know his educational level and his knowledge the teacher can support him with videos to help him in his learning difficulties to overcome it.,449,"['students learning process', 'mobile devices represent', 'mobile phones devices', 'system for distance', 'application system', 'distance learning']",78.47
19,,Aqar Broker: E-Commerce & Decision Support System,"Ahmed Alaa Eldin Hassan, Ahmed Kamal Ahmed, Omar Yasser Hamed, Mashhour Seif Elnasr Abdallah, Michael Maher Fekry, Mostafa Ahmed Mohamed",2024,"The real estate market is one of the strongest economic areas and must keep pace with current technology. We decided to contribute to this sector by facilitating the process of selling, buying, and renting residential units throughout Egypt. Our application provides a convenient and direct environment for both sellers and buyers. Additionally, we aim to introduce an electronic platform to help people navigate the new administrative capital, providing a safe way to make decisions about buying residential units in this emerging city.","Aqar Broker is a mobile application designed to streamline the real estate market by connecting buyers, sellers, and renters. Users create accounts to access information about residential units, neighborhoods, and investment opportunities. The system includes a recommendation engine to help users find properties that match their budget and preferences, specifically focusing on the new administrative capital in Egypt.","The current real estate market suffers from a lack of transparency, fraudulent dealings, and bias between buyers and sellers. Furthermore, there is a lack of accessible information regarding new urban developments like the new administrative capital, making it difficult for users to make informed investment or housing decisions.","A mobile-based E-Commerce and Decision Support System that acts as an intermediary to eliminate the need for human brokers. The platform provides a secure environment for property transactions, offers personalized recommendations based on user budget, and serves as a comprehensive guide for residential units in new cities.","1. Improve mobile application usability and performance.
2. Improve decision-making using artificial intelligence techniques.
3. Reduce operational complexity and improve efficiency.
4. Implement intelligent AI-based functionalities.
5. Create a mobile-friendly and accessible application.
6. Provide accurate and reliable functionality.
7. Enhance user experience and usability.","Aqar Broker: E-Commerce & Decision Support System. The real estate market is one of the strongest economic areas and must keep pace with current technology. We decided to contribute to this sector by facilitating the process of selling, buying, and renting residential units throughout Egypt. Our application provides a convenient and direct environment for both sellers and buyers. Additionally, we aim to introduce an electronic platform to help people navigate the new administrative capital, providing a safe way to make decisions about buying residential units in this emerging city.. Aqar Broker is a mobile application designed to streamline the real estate market by connecting buyers, sellers, and renters. Users create accounts to access information about residential units, neighborhoods, and investment opportunities. The system includes a recommendation engine to help users find properties that match their budget and preferences, specifically focusing on the new administrative capital in Egypt.",aqar broker e-commerce decision support system. the real estate market is one of the strongest economic areas and must keep pace with current technology. we decided to contribute to this sector by facilitating the process of selling buying and renting residential units throughout egypt. our application provides a convenient and direct environment for both sellers and buyers. additionally we aim to introduce an electronic platform to help people navigate the new administrative capital providing a safe way to make decisions about buying residential units in this emerging city.. aqar broker is a mobile application designed to streamline the real estate market by connecting buyers sellers and renters. users create accounts to access information about residential units neighborhoods and investment opportunities. the system includes a recommendation engine to help users find properties that match their budget and preferences specifically focusing on the new administrative capital in egypt.,146,"['e-commerce decision support', 'broker e-commerce decision', 'renting residential units', 'strongest economic areas', 'buying residential units', 'decision support system', 'aqar broker e-commerce', 'administrative capital', 'real estate market']",100.0
20,,Artificial Intelligence Driver Behavior Based on Deep Learning,"Salma Abdallah, Mahmoud Hassan, Salma Nasser, Laila Ibrahim",2020,"Driver behaviours have a lot of effects in many fields. The bad driver has a negative impact on safety for the human soul if this person was another drive or a passer. Also, in the economy. The bad driver damages cars or buses. And he reduces its life span Which means a lot of cost for the Maintece and the replacement. And for the environment, destroyed cars and its parts are a big problem for its recycling or at least Get rid of it. Our idea aims to measure driver behaviour based on artificial intelligence (AI), to provide a fair rating for companies to track drivers' behaviours to save human souls and preserve the life of their cars. This leads to preserving the environment","A driver behavior is the set of actions performs to ensure both the safety of people and compliance to the driving regulations obviously, safety and compliance imply speed limits being respected. Driver behavior is one of the most important aspects in the design, development, and application of Advanced Driving Assistance Systems and Intelligent Transportation Systems, and is an aspect you need to monitor as part of risk assessment and in an attempt to cut costs. If you are able to measure the driving style of your staf, there is a lot of actions you can take in order to improve fleet safety, global road safety as well as fuel efficiency and emissions. Driver behavior strongly impacts traffic security and causes the vast majority of motor vehicle accidents. Driver behavior adaptations might increase overall security and lessen vehicle fuel and gas emissions. In this context, driver behavior profiling tries to better understand and potentially improve driver behavior, leveraging a safer and more energy aware driving. Driver monitoring and analysis or driver behavior profiling is the process of automatically collecting driving data (e.g., speed, acceleration, breaking, steering, location) and applying a computational model to them in order to generate a safety score for the driver. Driving data collection may be achieved by several kinds of sensors. Evaluating and following up the driver will reduce the number of accidents and traffic crises","The absence of a dedicated digital system for analyzing driver behavior using artificial intelligence and deep learning limits the ability to monitor driving patterns accurately and efficiently. Traditional methods are often inefficient, time-consuming, and unable to provide real-time insights, making it difficult to track, manage, and analyze driver behavior data effectively.",Driver behaviours have a lot of effects in many fields. The bad driver has a negative impact on safety for the human soul if this person was another drive or a passer.,"1. Provide efficient data analysis and reporting features.
2. Improve overall productivity and workflow optimization.
3. Implement secure authentication and authorization mechanisms.
4. Implement modern technologies and best practices.
5. Enhance system security and protect sensitive user data.
6. Support future scalability and feature expansion.","Artificial Intelligence Driver Behavior Based on Deep Learning. Driver behaviours have a lot of effects in many fields. The bad driver has a negative impact on safety for the human soul if this person was another drive or a passer. Also, in the economy. The bad driver damages cars or buses. And he reduces its life span Which means a lot of cost for the Maintece and the replacement. And for the environment, destroyed cars and its parts are a big problem for its recycling or at least Get rid of it. Our idea aims to measure driver behaviour based on artificial intelligence (AI), to provide a fair rating for companies to track drivers' behaviours to save human souls and preserve the life of their cars. This leads to preserving the environment. A driver behavior is the set of actions performs to ensure both the safety of people and compliance to the driving regulations obviously, safety and compliance imply speed limits being respected. Driver behavior is one of the most important aspects in the design, development, and application of Advanced Driving Assistance Systems and Intelligent Transportation Systems, and is an aspect you need to monitor as part of risk assessment and in an attempt to cut costs. If you are able to measure the driving style of your staf, there is a lot of actions you can take in order to improve fleet safety, global road safety as well as fuel efficiency and emissions. Driver behavior strongly impacts traffic security and causes the vast majority of motor vehicle accidents. Driver behavior adaptations might increase overall security and lessen vehicle fuel and gas emissions. In this context, driver behavior profiling tries to better understand and potentially improve driver behavior, leveraging a safer and more energy aware driving. Driver monitoring and analysis or driver behavior profiling is the process of automatically collecting driving data (e.g., speed, acceleration, breaking, steering, location) and applying a computational model to them in order to generate a safety score for the driver. Driving data collection may be achieved by several kinds of sensors. Evaluating and following up the driver will reduce the number of accidents and traffic crises",artificial intelligence driver behavior based on deep learning. driver behaviours have a lot of effects in many fields. the bad driver has a negative impact on safety for the human soul if this person was another drive or a passer. also in the economy. the bad driver damages cars or buses. and he reduces its life span which means a lot of cost for the maintece and the replacement. and for the environment destroyed cars and its parts are a big problem for its recycling or at least get rid of it. our idea aims to measure driver behaviour based on artificial intelligence ai to provide a fair rating for companies to track drivers behaviours to save human souls and preserve the life of their cars. this leads to preserving the environment. a driver behavior is the set of actions performs to ensure both the safety of people and compliance to the driving regulations obviously safety and compliance imply speed limits being respected. driver behavior is one of the most important aspects in the design development and application of advanced driving assistance systems and intelligent transportation systems and is an aspect you need to monitor as part of risk assessment and in an attempt to cut costs. if you are able to measure the driving style of your staf there is a lot of actions you can take in order to improve fleet safety global road safety as well as fuel efficiency and emissions. driver behavior strongly impacts traffic security and causes the vast majority of motor vehicle accidents. driver behavior adaptations might increase overall security and lessen vehicle fuel and gas emissions. in this context driver behavior profiling tries to better understand and potentially improve driver behavior leveraging a safer and more energy aware driving. driver monitoring and analysis or driver behavior profiling is the process of automatically collecting driving data e.g. speed acceleration breaking steering location and applying a computational model to them in order to generate a safety score for the driver. driving data collection may be achieved by several kinds of sensors. evaluating and following up the driver will reduce the number of accidents and traffic crises,361,"['artificial intelligence driver', 'intelligence driver behavior', 'driver behavior profiling', 'measure driver behaviour', 'driver behavior strongly', 'improve driver behavior', 'driver behaviour based', 'deep learning', 'based on deep', 'bad driver']",96.4
21,,Artificial Intelligence Techniques in Brain Stroke Detection Using Medical Images,"Osama Fayez Abdelkhalik, Amany Mohamed Saber, Enas Mohamed Askar, Mohamed Ramadan Abdelhakam, Nadiya Hosny Elsayed, Yasmeen Mohamed Awwad",2024,"Brain stroke, a leading cause of death and disability worldwide, necessitates early detection and timely intervention to improve patient outcomes. This project, ""Artificial Intelligence Techniques in Brain Stroke Detection Using Medical Images, "" aims to leverage advanced machine learning and deep learning techniques to develop a robust system for the accurate identification of brain strokes from medical scans. The project integrates several key components, including extensive data preprocessing and the implementation of various models such as Decision Tree, Random Forest, KNN, and deep learning architectures like 3D CNN, 2D CNN, and ResNet152, with the latter achieving an accuracy of 22%. The system also incorporates a comprehensive user interface for stakeholders to manage appointments and diagnostic reports, aiming to reduce dependency on manual interpretation by radiologists.","The project is a comprehensive medical informatics system designed to automate the detection of brain strokes using AI. It combines deep learning-based image analysis (specifically ResNet152) with a management platform that handles patient appointments, diagnostic reports, and communication between healthcare providers and patients. The goal is to streamline the diagnostic workflow and provide timely care in resource-constrained settings.","In Egypt, the shortage of radiologists and limited availability of specialized diagnostic centers lead to significant delays in diagnosing and treating brain stroke patients, which is a time-critical medical emergency.","The team developed an integrated system that uses deep learning models (ResNet152) to analyze medical scans for stroke detection, combined with a web-based management platform to facilitate appointment booking, report sharing, and efficient communication between doctors and patients.","1. Enhance healthcare efficiency and accessibility.
2. Develop a scalable and maintainable solution.
3. Provide efficient data analysis and reporting features.
4. Improve overall productivity and workflow optimization.
5. Implement modern technologies and best practices.
6. Improve patient monitoring and healthcare management.
7. Optimize resource allocation and task management.
8. Improve workflow and management efficiency.","Artificial Intelligence Techniques in Brain Stroke Detection Using Medical Images. Brain stroke, a leading cause of death and disability worldwide, necessitates early detection and timely intervention to improve patient outcomes. This project, ""Artificial Intelligence Techniques in Brain Stroke Detection Using Medical Images, "" aims to leverage advanced machine learning and deep learning techniques to develop a robust system for the accurate identification of brain strokes from medical scans. The project integrates several key components, including extensive data preprocessing and the implementation of various models such as Decision Tree, Random Forest, KNN, and deep learning architectures like 3D CNN, 2D CNN, and ResNet152, with the latter achieving an accuracy of 22%. The system also incorporates a comprehensive user interface for stakeholders to manage appointments and diagnostic reports, aiming to reduce dependency on manual interpretation by radiologists.. The project is a comprehensive medical informatics system designed to automate the detection of brain strokes using AI. It combines deep learning-based image analysis (specifically ResNet152) with a management platform that handles patient appointments, diagnostic reports, and communication between healthcare providers and patients. The goal is to streamline the diagnostic workflow and provide timely care in resource-constrained settings.",artificial intelligence techniques in brain stroke detection using medical images. brain stroke a leading cause of death and disability worldwide necessitates early detection and timely intervention to improve patient outcomes. this project artificial intelligence techniques in brain stroke detection using medical images aims to leverage advanced machine learning and deep learning techniques to develop a robust system for the accurate identification of brain strokes from medical scans. the project integrates several key components including extensive data preprocessing and the implementation of various models such as decision tree random forest knn and deep learning architectures like 3d cnn 2d cnn and resnet152 with the latter achieving an accuracy of 22 . the system also incorporates a comprehensive user interface for stakeholders to manage appointments and diagnostic reports aiming to reduce dependency on manual interpretation by radiologists.. the project is a comprehensive medical informatics system designed to automate the detection of brain strokes using ai. it combines deep learning-based image analysis specifically resnet152 with a management platform that handles patient appointments diagnostic reports and communication between healthcare providers and patients. the goal is to streamline the diagnostic workflow and provide timely care in resource-constrained settings.,193,"['artificial intelligence techniques', 'project artificial intelligence', 'necessitates early detection', 'deep learning techniques', 'brain stroke detection', 'techniques in brain', 'medical images aims', 'brain strokes']",100.0
22,,Assessment For E-Learning,"Karim Adel, Menna Hassan, Aya Mostafa",2013,"Online Assessment System forms the lifeline of the Educational Institutes to the functioning of the Examination. It is very essential for an Institute to handle the Examinations and their results. It is very useful for an Institute to test its students continuously for their development. This system is helpful for conducting (M.C) Multiple Choice Examinations which can be conducted regularly as well as for surprise tests and provides immediate results saving the precious time of faculties to check the papers and prepare mark sheets. The Online Assessment System will include various Courses (IT, Commerce, Science... etc.) and subjects for conducting examinations. This system helps in conducting examinations quickly and can thus help in saving time and the operations will be carried out efficiently. With the effective use, any Institute can apply the Online Assessment System for conducting quick examinations and getting better results in less time.","E-learning offers practical and cost effective ways for higher education institutions as well as academic institutes to manage the delivery of education over the web and manage managerial / administrative aspects of education at the same time. If done right, it can produce great results by decreasing costs and improving performance. Also, unlike a one time classroom session, the e learning course is available for others. This includes the static eLearning course as well as any ongoing conversations in networked communities.","Traditional examination processes are time-consuming for faculty members, requiring significant manual effort to grade papers and prepare mark sheets. Furthermore, conventional classroom-based testing lacks the flexibility to provide immediate feedback and continuous assessment opportunities for students.","The project proposes an Online Assessment System designed to streamline the examination process for educational institutions. By automating the delivery and grading of multiple-choice examinations, the system saves faculty time, enables continuous student development through regular and surprise testing, and provides immediate results.","1. Develop a scalable and maintainable solution.
2. Improve system performance and reliability.
3. Implement modern technologies and best practices.
4. Reduce operational complexity and improve efficiency.
5. Provide interactive educational tools and resources.
6. Improve learning experience and educational accessibility.
7. Implement intelligent AI-based functionalities.","Assessment For E-Learning. Online Assessment System forms the lifeline of the Educational Institutes to the functioning of the Examination. It is very essential for an Institute to handle the Examinations and their results. It is very useful for an Institute to test its students continuously for their development. This system is helpful for conducting (M.C) Multiple Choice Examinations which can be conducted regularly as well as for surprise tests and provides immediate results saving the precious time of faculties to check the papers and prepare mark sheets. The Online Assessment System will include various Courses (IT, Commerce, Science... etc.) and subjects for conducting examinations. This system helps in conducting examinations quickly and can thus help in saving time and the operations will be carried out efficiently. With the effective use, any Institute can apply the Online Assessment System for conducting quick examinations and getting better results in less time.. E-learning offers practical and cost effective ways for higher education institutions as well as academic institutes to manage the delivery of education over the web and manage managerial / administrative aspects of education at the same time. If done right, it can produce great results by decreasing costs and improving performance. Also, unlike a one time classroom session, the e learning course is available for others. This includes the static eLearning course as well as any ongoing conversations in networked communities.",assessment for e-learning. online assessment system forms the lifeline of the educational institutes to the functioning of the examination. it is very essential for an institute to handle the examinations and their results. it is very useful for an institute to test its students continuously for their development. this system is helpful for conducting m.c multiple choice examinations which can be conducted regularly as well as for surprise tests and provides immediate results saving the precious time of faculties to check the papers and prepare mark sheets. the online assessment system will include various courses it commerce science... etc. and subjects for conducting examinations. this system helps in conducting examinations quickly and can thus help in saving time and the operations will be carried out efficiently. with the effective use any institute can apply the online assessment system for conducting quick examinations and getting better results in less time.. e-learning offers practical and cost effective ways for higher education institutions as well as academic institutes to manage the delivery of education over the web and manage managerial / administrative aspects of education at the same time. if done right it can produce great results by decreasing costs and improving performance. also unlike a one time classroom session the e learning course is available for others. this includes the static elearning course as well as any ongoing conversations in networked communities.,230,"['conducting examinations quickly', 'online assessment system', 'assessment system forms', 'educational institutes']",45.82
23,,Assistive Tool for Patient Medical Record Management,"Milad Atef Micheal, Mohga Soliman Emam, Mostafa Mahmoud Hassan, Mostafa Morsy Ismail Salama",2020,"This project is an assistive tool designed to simplify medical record management and patient monitoring. By utilizing a smartwatch to collect vital signs such as heart rate, blood pressure, and calories burned, the system transmits data to the cloud. This information is accessible via a mobile application and a website, allowing doctors to monitor patients remotely. The system includes an emergency alert feature that notifies doctors and ambulances in case of sudden health changes or accidents, ensuring timely medical intervention.","The project provides a comprehensive platform for tracking patient vitals and health data in real-time. It bridges the gap between patients and doctors by providing a centralized cloud-based database. The system is designed to be cost-effective, requiring only a smartwatch and a free account on the platform to access services, thereby removing financial barriers to quality health monitoring.","A significant percentage of the population suffers from chronic conditions requiring constant monitoring, and many sudden deaths occur due to the inability to reach patients in time during medical emergencies. Existing medical monitoring solutions are often expensive and inaccessible to the general public.","A low-cost, integrated IoT solution consisting of a smartwatch for continuous vital sign tracking, a cloud-based database for storing medical records, and a web/mobile interface for doctors and relatives to monitor patient health and receive automated emergency alerts.","1. Create a mobile-friendly and accessible application.
2. Improve accessibility across different devices and platforms.
3. Develop a responsive and user-friendly web application.
4. Improve overall productivity and workflow optimization.
5. Provide accurate and reliable functionality.
6. Support future scalability and feature expansion.
7. Enhance user experience and usability.
8. Improve tracking accuracy and operational visibility.","Assistive Tool for Patient Medical Record Management. This project is an assistive tool designed to simplify medical record management and patient monitoring. By utilizing a smartwatch to collect vital signs such as heart rate, blood pressure, and calories burned, the system transmits data to the cloud. This information is accessible via a mobile application and a website, allowing doctors to monitor patients remotely. The system includes an emergency alert feature that notifies doctors and ambulances in case of sudden health changes or accidents, ensuring timely medical intervention.. The project provides a comprehensive platform for tracking patient vitals and health data in real-time. It bridges the gap between patients and doctors by providing a centralized cloud-based database. The system is designed to be cost-effective, requiring only a smartwatch and a free account on the platform to access services, thereby removing financial barriers to quality health monitoring.",assistive tool for patient medical record management. this project is an assistive tool designed to simplify medical record management and patient monitoring. by utilizing a smartwatch to collect vital signs such as heart rate blood pressure and calories burned the system transmits data to the cloud. this information is accessible via a mobile application and a website allowing doctors to monitor patients remotely. the system includes an emergency alert feature that notifies doctors and ambulances in case of sudden health changes or accidents ensuring timely medical intervention.. the project provides a comprehensive platform for tracking patient vitals and health data in real-time. it bridges the gap between patients and doctors by providing a centralized cloud-based database. the system is designed to be cost-effective requiring only a smartwatch and a free account on the platform to access services thereby removing financial barriers to quality health monitoring.,145,"['medical record management', 'simplify medical record', 'assistive tool designed', 'patient medical record', 'rate blood pressure', 'heart rate blood']",70.2
24,,Autism Spectrum Disorder (TBC Project),"Osama Mahmoud Abdelkhalek, Ahmed Mohamed AbdelTawab, Eslam Elsayed AbdelAleem, Mohamed Sobhy Ayesh, Asmaa Yassin Helmy, Arwa Abdel Azim Mohamed, Hossam Mahmoud AbdelHady, Ahmed Adel Hassan",2017,"This project presents a specialized educational application designed to support children with Autism Spectrum Disorder (ASD) by addressing core challenges in executive functioning and sensory processing. By implementing a structured, customizable, and simplified user interface, the system provides a supportive environment for learning foundational skills, including literacy, vocabulary, and sentence construction. The platform aims to empower children to express themselves effectively through unconventional, technology-driven educational methods.","The project is an educational application tailored for children with Autism Spectrum Disorder, focusing on three progressive stages of learning: letter recognition and pronunciation, vocabulary building, and sentence formation. To ensure accessibility, the system incorporates features that mitigate sensory overload, such as adjustable sound and visual settings, and addresses executive functioning challenges through step-by-step task management, visual organizers, and timers. The platform serves as a comprehensive tool to facilitate communication and educational development in a user-friendly, non-overwhelming digital space.","Executive Functioning Challenges: Autistic children may experience difficulties with executive functions, such as planning, organizing, and managing tasks. Complex or overwhelming interfaces, multi-step instructions, or lack of structure may hinder their ability to navigate technology applications effectively. 11 - Sensory Overload: Autistic children may be sensitive to sensory stimuli, such as bright lights, loud sounds, or crowded interfaces. This can cause discomfort or overwhelm them while using technology.","Solution: Simplify the user interface and provide clear, step-by-step instructions. Break down complex tasks into smaller, manageable steps and provide visual cues or prompts to guide the user through the process. Incorporate visual organizers, checklists, or timers to help with task management and organization within the application. Solution: Provide customization options within the application to allow users to adjust settings according to their sensory preferences. This may include options to reduce visual stimuli, adjust sound levels, or provide a simplified interface. Additionally, consider incorporating features like visual schedules or timers to help manage time and transitions within the application.","1. Enhance user experience and usability.
2. Implement intelligent AI-based functionalities.
3. Improve decision-making using artificial intelligence techniques.
4. Provide interactive educational tools and resources.
5. Reduce operational complexity and improve efficiency.
6. Improve workflow and management efficiency.","Autism Spectrum Disorder (TBC Project). This project presents a specialized educational application designed to support children with Autism Spectrum Disorder (ASD) by addressing core challenges in executive functioning and sensory processing. By implementing a structured, customizable, and simplified user interface, the system provides a supportive environment for learning foundational skills, including literacy, vocabulary, and sentence construction. The platform aims to empower children to express themselves effectively through unconventional, technology-driven educational methods.. The project is an educational application tailored for children with Autism Spectrum Disorder, focusing on three progressive stages of learning: letter recognition and pronunciation, vocabulary building, and sentence formation. To ensure accessibility, the system incorporates features that mitigate sensory overload, such as adjustable sound and visual settings, and addresses executive functioning challenges through step-by-step task management, visual organizers, and timers. The platform serves as a comprehensive tool to facilitate communication and educational development in a user-friendly, non-overwhelming digital space.",autism spectrum disorder tbc project . this project presents a specialized educational application designed to support children with autism spectrum disorder asd by addressing core challenges in executive functioning and sensory processing. by implementing a structured customizable and simplified user interface the system provides a supportive environment for learning foundational skills including literacy vocabulary and sentence construction. the platform aims to empower children to express themselves effectively through unconventional technology-driven educational methods.. the project is an educational application tailored for children with autism spectrum disorder focusing on three progressive stages of learning letter recognition and pronunciation vocabulary building and sentence formation. to ensure accessibility the system incorporates features that mitigate sensory overload such as adjustable sound and visual settings and addresses executive functioning challenges through step-by-step task management visual organizers and timers. the platform serves as a comprehensive tool to facilitate communication and educational development in a user-friendly non-overwhelming digital space.,151,"['specialized educational application', 'educational application designed', 'foundational skills including', 'including literacy vocabulary', 'learning foundational skills', 'processing. by implementing', 'addressing core challenges', 'simplified user interface', 'skills including literacy', 'implementing a structured', 'autism spectrum disorder', 'presents a specialized', 'spectrum disorder tbc', 'spectrum disorder asd', 'disorder tbc project', 'designed to support', 'asd by addressing']",88.57
25,,Automated Attendance Using Face Recognition,"Asmaa Alaa Eldein Tawfeik, Alaa Mustafa Hassan, Aya Abd Elhamed Elbohoty, Eman Gouda Abd Elaziz, Shimaa Elsayed Kamal, Laila Magady Abdelfatah",2017,"An automatic attendance management system using biometrics would provide the needed solution . the results showed improved performance over manual attendance management system . Biometric-based techniques have emerged as the most promising option for recognizing individuals in recent years since, instead of authenticating people and granting them access to physical and virtual domains based on passwords, smart cards . Biometric based technologies include identification based on physiological characteristics . Face recognition appears to offer several advantages over other biometric methods.","The face is the identity of a person, the methods to exploit this physical feature have seen a great change since the advent of image processing techniques. The attendance is taken in every schools, colleges and library. traditional approach for attendance is professor calls student name & record attendance. This system aims to deviate from such traditional systems and introduce a new approach for taking an attendance using image processing. the camera take the photo of the students and store it then the doctor upload photo to take the attendance the system do the face detection then apply face recognition that recognition face then compare the id of the recognized face with the ids in the data base finally mark the attendance of the student. If there is a new student can add it by take many photo of the student with different position and entre his id, first name, last name and his department this data store in the data base and his photo store with his id. the doctor can search a bout specified student by the id of the student.","Every time a lecture, section or laboratory starts the lecturer or teaching assistant delays the lecture to record students' attendance. this is a lengthy process and takes lot of time and effort, especially it is a lecture with huge number of students. it also causes a lot of disturbance and interruption when an exam is held. moreover the attendance sheet is subjected to damage and loss while being passed on between different students of teaching staff. and when the number of students enrolled in a certain course is huge, the lecturers tend to call a couple of students name at random which is not fair student evaluation process either. Finally, these attendance records are used by the staff to monitor the student's attendance rates. this process could be easy and effective with a small number of students but on the other hand dealing with the records of a large number of students often leads to human error. > One of the most important problems : o deal with large groups of students o checking the performance of students o the registers could easily be exploited by students Key factor of improving the quality of education is having students attend classes regularly . Traditionally students are stimulated to attend classes using attendance points which at the end of a semester constitute a part of a student's final grade. > Checking the performance of students : Maintaining the attendance is very important and compulsory in all the institutes for checking the performance of students .","The proposed solution is an automated attendance management system that utilizes image processing and face recognition technology to replace manual, paper-based methods. By capturing images of students in a classroom setting, the system performs automated face detection and recognition to identify individuals and cross-reference them with a secure database, thereby eliminating human error, saving instructional time, and preventing attendance fraud.","1. Improve decision-making using artificial intelligence techniques.
2. Implement modern technologies and best practices.
3. Improve workflow and management efficiency.
4. Provide accurate and reliable functionality.
5. Support future scalability and feature expansion.
6. Implement intelligent AI-based functionalities.","Automated Attendance Using Face Recognition. An automatic attendance management system using biometrics would provide the needed solution . the results showed improved performance over manual attendance management system . Biometric-based techniques have emerged as the most promising option for recognizing individuals in recent years since, instead of authenticating people and granting them access to physical and virtual domains based on passwords, smart cards . Biometric based technologies include identification based on physiological characteristics . Face recognition appears to offer several advantages over other biometric methods.. The face is the identity of a person, the methods to exploit this physical feature have seen a great change since the advent of image processing techniques. The attendance is taken in every schools, colleges and library. traditional approach for attendance is professor calls student name & record attendance. This system aims to deviate from such traditional systems and introduce a new approach for taking an attendance using image processing. the camera take the photo of the students and store it then the doctor upload photo to take the attendance the system do the face detection then apply face recognition that recognition face then compare the id of the recognized face with the ids in the data base finally mark the attendance of the student. If there is a new student can add it by take many photo of the student with different position and entre his id, first name, last name and his department this data store in the data base and his photo store with his id. the doctor can search a bout specified student by the id of the student.",automated attendance using face recognition. an automatic attendance management system using biometrics would provide the needed solution . the results showed improved performance over manual attendance management system . biometric-based techniques have emerged as the most promising option for recognizing individuals in recent years since instead of authenticating people and granting them access to physical and virtual domains based on passwords smart cards . biometric based technologies include identification based on physiological characteristics . face recognition appears to offer several advantages over other biometric methods.. the face is the identity of a person the methods to exploit this physical feature have seen a great change since the advent of image processing techniques. the attendance is taken in every schools colleges and library. traditional approach for attendance is professor calls student name record attendance. this system aims to deviate from such traditional systems and introduce a new approach for taking an attendance using image processing. the camera take the photo of the students and store it then the doctor upload photo to take the attendance the system do the face detection then apply face recognition that recognition face then compare the id of the recognized face with the ids in the data base finally mark the attendance of the student. if there is a new student can add it by take many photo of the student with different position and entre his id first name last name and his department this data store in the data base and his photo store with his id. the doctor can search a bout specified student by the id of the student.,267,"['automatic attendance management', 'biometric based technologies', 'include identification based', 'based technologies include', 'apply face recognition', 'virtual domains based', 'recognition face']",69.31
26,,Automated guided vehicle,"Kareem Emad El-din Ali El-sharkawy, Abd El-monem saied Bendary, Esraa Moustafa Abd El-Kader, Shaimaa Abd Allah Abd El-samee El-sisi, Hager Abd El-maksod Aglan, Dina Ahmed El-niny",2016,"With the increase in vehicle production and world population, more and more autonomous facilities are required. In this paper a new guided car system called Automated Guided Vehicle is proposed to assist car Owners to minimize time and efforts of Driving and providing a safer system for the guided vehicle.","The project focuses on developing an Automated Guided Vehicle (AGV) system capable of autonomous parking and self-driving navigation. The system utilizes a combination of hardware sensors and software image processing to maneuver the vehicle safely, avoid collisions, and reduce traffic congestion.","Drivers face significant challenges with parking and navigating traffic, leading to accidents, inefficiency, and stress. Current manual driving methods are prone to human error and do not optimize road usage.","An autonomous vehicle system that integrates laser and ultrasonic sensors for obstacle detection, and computer vision for lane tracking and road navigation. The system operates in two phases: autonomous parking and autonomous road driving using a trained dataset.","1. Implement modern technologies and best practices.
2. Enhance user experience and usability.
3. Support future scalability and feature expansion.
4. Improve system performance and reliability.
5. Develop a scalable and maintainable solution.
6. Improve overall productivity and workflow optimization.
7. Reduce operational complexity and improve efficiency.","Automated guided vehicle. With the increase in vehicle production and world population, more and more autonomous facilities are required. In this paper a new guided car system called Automated Guided Vehicle is proposed to assist car Owners to minimize time and efforts of Driving and providing a safer system for the guided vehicle.. The project focuses on developing an Automated Guided Vehicle (AGV) system capable of autonomous parking and self-driving navigation. The system utilizes a combination of hardware sensors and software image processing to maneuver the vehicle safely, avoid collisions, and reduce traffic congestion.",automated guided vehicle. with the increase in vehicle production and world population more and more autonomous facilities are required. in this paper a new guided car system called automated guided vehicle is proposed to assist car owners to minimize time and efforts of driving and providing a safer system for the guided vehicle.. the project focuses on developing an automated guided vehicle agv system capable of autonomous parking and self-driving navigation. the system utilizes a combination of hardware sensors and software image processing to maneuver the vehicle safely avoid collisions and reduce traffic congestion.,94,"['automated guided vehicle.', 'facilities are required', 'called automated guided', 'system called automated', 'autonomous facilities', 'production and world', 'vehicle production', 'guided vehicle agv', 'guided car system', 'world population']",100.0
27,,Automated System For Critical Cases,"Mohamed Reda Hassan,
Sherif Ahmed Fathy,
Yassin Mahmoud Ali,
Adham Tarek Mohamed,
Seif Eldin Mostafa,
Marwan Khaled Ibrahim,
Fares Hossam Abdelrahman,
Anas Wael Samir",2017,"Our System helps critical cases to find beds in intensive care, neonatal ICU (intensive care unit) or bags of a specific blood type. Instead of searching in hospitals, people can easily use the application to find the nearest hospitals that have available bed in intensive care / neonatal Icu or bags of a specific blood type and they can reserve bed or bags by PayPal. Our application make rescuing patient faster and make it easier.","The project is an automated system designed to assist patients in critical conditions by locating the nearest hospitals with available ICU beds, neonatal ICU units, or specific blood types. It includes a mobile application for patients to search and reserve resources, and a web interface for hospital administrators to manage and update their facility's availability in real-time.","Patients in critical condition often struggle to find available ICU beds or specific blood types, leading to dangerous delays as they move between hospitals. Existing methods of inquiry are inefficient and often result in failed reservations, which can be life-threatening.","A dual-platform system consisting of a mobile application for patients to locate and reserve medical resources in real-time using GPS, and a web-based management system for hospitals to update their availability and manage patient reservations.","1. Improve system performance and reliability.
2. Improve mobile application usability and performance.
3. Improve overall productivity and workflow optimization.
4. Implement intelligent AI-based functionalities.
5. Implement modern technologies and best practices.
6. Support future scalability and feature expansion.
7. Create a mobile-friendly and accessible application.","Automated System For Critical Cases. Our System helps critical cases to find beds in intensive care, neonatal ICU (intensive care unit) or bags of a specific blood type. Instead of searching in hospitals, people can easily use the application to find the nearest hospitals that have available bed in intensive care / neonatal Icu or bags of a specific blood type and they can reserve bed or bags by PayPal. Our application make rescuing patient faster and make it easier.. The project is an automated system designed to assist patients in critical conditions by locating the nearest hospitals with available ICU beds, neonatal ICU units, or specific blood types. It includes a mobile application for patients to search and reserve resources, and a web interface for hospital administrators to manage and update their facility's availability in real-time.",automated system for critical cases. our system helps critical cases to find beds in intensive care neonatal icu intensive care unit or bags of a specific blood type. instead of searching in hospitals people can easily use the application to find the nearest hospitals that have available bed in intensive care / neonatal icu or bags of a specific blood type and they can reserve bed or bags by paypal. our application make rescuing patient faster and make it easier.. the project is an automated system designed to assist patients in critical conditions by locating the nearest hospitals with available icu beds neonatal icu units or specific blood types. it includes a mobile application for patients to search and reserve resources and a web interface for hospital administrators to manage and update their facility s availability in real-time.,138,"['intensive care neonatal', 'specific blood types', 'automated system', 'critical cases']",74.15
28,,Automatic Trailer,"Abeer Abd El-hameed Abd-rabo, Ahmed Magdy Saber, Asmaa Atef Hasaneen, Ayman Mohamed Elbery, Ibrahim Mohamed El-sayed, Mohamed Magdy Abd El-shafy",2016,"The movie industry has long perfected advertising its movies. In order to inform audiences about an upcoming movie and to attract it, short previews are presented in cinema or TV - the ""movie trailers"". A branch of Hollywood's film industry has specialized in trailer production. This process of creating a trailer has always been determined by manual editing of video and audio. Generating a movie trailer is a complex process and takes a lot of time, so we have used Natural Language Processing (NLP) techniques to generate an automatic trailer by extracting the most important scenes in the movie depending on the movie genre. Making an automatic trailer like the people do now is an open issue and a lot of researchers wrote many papers in this field, some of them using image processing techniques, video semantics, audio processing, but we try to take a step in this field using Natural Language Processing (NLP) to do the best.","The project aims to automate the creation of movie trailers by analyzing movie subtitles. Instead of relying on manual video editing or complex image/audio processing, the system uses NLP techniques to classify subtitle text and extract unique keywords. These keywords are used to build a text graph based on the TextRank algorithm to identify the most important scenes in a movie, allowing for the automatic generation of a trailer without human interaction.","Building movie trailers similar to those generated by humans is an open issue. Current methods often rely on complex image, video, or audio processing, while neglecting the importance of text, and the full understanding of 'movie grammar' remains limited by current scientific progress.","The project proposes using Natural Language Processing (NLP) techniques to understand subtitles, classify text, and extract unique keywords. By applying the TextRank algorithm to these keywords, the system constructs a text graph to identify and assemble the most important scenes from a movie to produce a trailer automatically.","1. Improve system performance and reliability.
2. Implement intelligent AI-based functionalities.
3. Support future scalability and feature expansion.
4. Enhance user experience and usability.
5. Improve decision-making using artificial intelligence techniques.
6. Provide accurate and reliable functionality.
7. Develop a scalable and maintainable solution.
8. Implement modern technologies and best practices.","Automatic Trailer. The movie industry has long perfected advertising its movies. In order to inform audiences about an upcoming movie and to attract it, short previews are presented in cinema or TV - the ""movie trailers"". A branch of Hollywood's film industry has specialized in trailer production. This process of creating a trailer has always been determined by manual editing of video and audio. Generating a movie trailer is a complex process and takes a lot of time, so we have used Natural Language Processing (NLP) techniques to generate an automatic trailer by extracting the most important scenes in the movie depending on the movie genre. Making an automatic trailer like the people do now is an open issue and a lot of researchers wrote many papers in this field, some of them using image processing techniques, video semantics, audio processing, but we try to take a step in this field using Natural Language Processing (NLP) to do the best.. The project aims to automate the creation of movie trailers by analyzing movie subtitles. Instead of relying on manual video editing or complex image/audio processing, the system uses NLP techniques to classify subtitle text and extract unique keywords. These keywords are used to build a text graph based on the TextRank algorithm to identify the most important scenes in a movie, allowing for the automatic generation of a trailer without human interaction.",automatic trailer. the movie industry has long perfected advertising its movies. in order to inform audiences about an upcoming movie and to attract it short previews are presented in cinema or tv - the movie trailers . a branch of hollywood s film industry has specialized in trailer production. this process of creating a trailer has always been determined by manual editing of video and audio. generating a movie trailer is a complex process and takes a lot of time so we have used natural language processing nlp techniques to generate an automatic trailer by extracting the most important scenes in the movie depending on the movie genre. making an automatic trailer like the people do now is an open issue and a lot of researchers wrote many papers in this field some of them using image processing techniques video semantics audio processing but we try to take a step in this field using natural language processing nlp to do the best.. the project aims to automate the creation of movie trailers by analyzing movie subtitles. instead of relying on manual video editing or complex image/audio processing the system uses nlp techniques to classify subtitle text and extract unique keywords. these keywords are used to build a text graph based on the textrank algorithm to identify the most important scenes in a movie allowing for the automatic generation of a trailer without human interaction.,234,"['natural language processing', 'language processing nlp', 'automatic trailer', 'audio processing', 'movie trailers', 'nlp techniques']",100.0
29,,BEYOUT,"Muhammed Maher Muhammed Sharbag, Fatma Ashraf Mohammed Youssif, Amr Mamdouh Galal Elsayed, Muhammed Adel Ahmed Zaki, Mahmoud Ayman Saleh, Muhammed Mahmoud Sobby, Muhammed Abdelkarim Okasha",2024,"As cities continue to grow and evolve, the demand for flexible and convenient housing solutions has never been greater. The project aims to meet this demand by offering a range of thoughtfully designed rental properties tailored to the needs of diverse lifestyles and demographics. By leveraging technology to streamline the rental process, the project enhances security and improves overall convenience for residents through online leasing and payment platforms.","BEYOUT is a comprehensive rental platform designed to bridge the gap between landlords and tenants. It provides a centralized system for property listings, virtual tours, and secure communication. The platform integrates advanced search filters, robust verification processes to ensure listing legitimacy, and digital tools for lease management and rent collection, creating a transparent and efficient rental experience.","Traditional rental methods are inefficient, time-consuming, and lack transparency. Prospective tenants face challenges in finding legitimate listings, verifying property quality, and comparing options, while landlords struggle with managing tenant inquiries, scheduling viewings, and handling administrative tasks like background checks and lease agreements.","The BEYOUT platform offers a centralized, user-friendly application that integrates advanced search capabilities, virtual tours, and secure digital lease management. It incorporates robust verification processes to prevent scams and provides landlords with automated tools for tenant communication, background checks, and rent collection, ensuring a secure and streamlined experience for all parties.","1. Optimize resource allocation and task management.
2. Improve system performance and reliability.
3. Implement modern technologies and best practices.
4. Enhance system security and protect sensitive user data.
5. Implement intelligent AI-based functionalities.
6. Implement secure authentication and authorization mechanisms.
7. Improve decision-making using artificial intelligence techniques.
8. Provide accurate and reliable functionality.","BEYOUT. As cities continue to grow and evolve, the demand for flexible and convenient housing solutions has never been greater. The project aims to meet this demand by offering a range of thoughtfully designed rental properties tailored to the needs of diverse lifestyles and demographics. By leveraging technology to streamline the rental process, the project enhances security and improves overall convenience for residents through online leasing and payment platforms.. BEYOUT is a comprehensive rental platform designed to bridge the gap between landlords and tenants. It provides a centralized system for property listings, virtual tours, and secure communication. The platform integrates advanced search filters, robust verification processes to ensure listing legitimacy, and digital tools for lease management and rent collection, creating a transparent and efficient rental experience.",beyout. as cities continue to grow and evolve the demand for flexible and convenient housing solutions has never been greater. the project aims to meet this demand by offering a range of thoughtfully designed rental properties tailored to the needs of diverse lifestyles and demographics. by leveraging technology to streamline the rental process the project enhances security and improves overall convenience for residents through online leasing and payment platforms.. beyout is a comprehensive rental platform designed to bridge the gap between landlords and tenants. it provides a centralized system for property listings virtual tours and secure communication. the platform integrates advanced search filters robust verification processes to ensure listing legitimacy and digital tools for lease management and rent collection creating a transparent and efficient rental experience.,126,"['comprehensive rental platform', 'convenient housing solutions', 'thoughtfully designed rental', 'designed rental properties', 'project enhances security', 'flexible and convenient', 'continue to grow', 'cities continue', 'grow and evolve', 'project aims']",100.0
30,,BFCI Graduation Projects Management,"Mahmoud Ahmed Shalma, Yahia Fawzy Yahia, Mohamed Nady Ibrahim, Ahmed Mahmoud Elgohary, Abd El Rahman Elsawaf, Mohamed Mahmoud Sakr",2018,"The project is an archive system for department graduation projects. It allows students to browse previous projects for reference and apply for new projects. The system facilitates communication between students and supervisors, enabling faculty members to manage project requirements, review student applications, and select teams based on project motivation and satisfaction.","This project is a comprehensive management system for graduation projects at the Faculty of Computers and Informatics (BFCI). It consists of a web platform and a mobile application designed to organize the project selection process, maintain a historical archive of past projects, and streamline the interaction between students and faculty supervisors.","Students often repeat projects previously carried out by their colleagues, leading to a loss of time and effort. Additionally, there is a lack of an organized system for managing the selection and approval of new graduation projects.","A centralized web and mobile platform that archives all previous graduation projects, provides a searchable database for students, and offers a structured workflow for submitting project proposals and managing team applications under faculty supervision.","1. Develop a scalable and maintainable solution.
2. Improve system performance and reliability.
3. Provide accurate and reliable functionality.
4. Improve workflow and management efficiency.
5. Implement modern technologies and best practices.","BFCI Graduation Projects Management. The project is an archive system for department graduation projects. It allows students to browse previous projects for reference and apply for new projects. The system facilitates communication between students and supervisors, enabling faculty members to manage project requirements, review student applications, and select teams based on project motivation and satisfaction.. This project is a comprehensive management system for graduation projects at the Faculty of Computers and Informatics (BFCI). It consists of a web platform and a mobile application designed to organize the project selection process, maintain a historical archive of past projects, and streamline the interaction between students and faculty supervisors.",bfci graduation projects management. the project is an archive system for department graduation projects. it allows students to browse previous projects for reference and apply for new projects. the system facilitates communication between students and supervisors enabling faculty members to manage project requirements review student applications and select teams based on project motivation and satisfaction.. this project is a comprehensive management system for graduation projects at the faculty of computers and informatics bfci . it consists of a web platform and a mobile application designed to organize the project selection process maintain a historical archive of past projects and streamline the interaction between students and faculty supervisors.,107,"['comprehensive management system', 'graduation projects management', 'department graduation projects', 'bfci graduation projects', 'archive system']",72.53
31,,BFCI Student Portal,"Mohamed Abdelrahman Mahmoud, Ahmed Ashraf Mareey Ismail, Khalid Elsayed Abdelhamid Atya, Mohamed Khalid Mahdy Abdelmoamen, Shereen Ashraf Mohamed Hafyz",2019,"The BFCI Student Portal is designed to provide the latest news and information for stakeholders at the Faculty of Computers and Informatics (BFCI), Benha University, including professors, students, administration, and student affairs. The system addresses the challenges students face in accessing faculty news, schedules, event times, and academic results, which were previously only available via physical boards. By providing a centralized, accessible web portal, the system ensures efficient information flow, saves students time and effort, and serves as a convenient channel for announcements and academic materials.","The BFCI Student Portal is a web-based information system developed to bridge the communication gap between the faculty administration, professors, and students. It acts as a centralized hub where administrators can manage users, professors can upload materials and create posts, and student affairs can publish schedules and results. The platform is designed to be accessible anytime and anywhere, providing a modern, digital alternative to traditional physical notice boards.","Students frequently struggle to access critical faculty information such as lecture schedules, exam results, event announcements, and summer training details. The reliance on physical notice boards is inefficient, especially for students living far from the faculty, and often leads to missed opportunities or lack of awareness regarding important academic updates.","The project proposes a web-based portal that serves as a centralized, digital communication channel. It allows for role-based access for admins, professors, students, and student affairs, enabling the real-time dissemination of news, schedules, and academic materials, thereby streamlining information flow and improving accessibility for all stakeholders.","1. Improve overall productivity and workflow optimization.
2. Improve accessibility across different devices and platforms.
3. Develop a responsive and user-friendly web application.
4. Implement modern technologies and best practices.
5. Improve decision-making using artificial intelligence techniques.
6. Implement intelligent AI-based functionalities.","BFCI Student Portal. The BFCI Student Portal is designed to provide the latest news and information for stakeholders at the Faculty of Computers and Informatics (BFCI), Benha University, including professors, students, administration, and student affairs. The system addresses the challenges students face in accessing faculty news, schedules, event times, and academic results, which were previously only available via physical boards. By providing a centralized, accessible web portal, the system ensures efficient information flow, saves students time and effort, and serves as a convenient channel for announcements and academic materials.. The BFCI Student Portal is a web-based information system developed to bridge the communication gap between the faculty administration, professors, and students. It acts as a centralized hub where administrators can manage users, professors can upload materials and create posts, and student affairs can publish schedules and results. The platform is designed to be accessible anytime and anywhere, providing a modern, digital alternative to traditional physical notice boards.",bfci student portal. the bfci student portal is designed to provide the latest news and information for stakeholders at the faculty of computers and informatics bfci benha university including professors students administration and student affairs. the system addresses the challenges students face in accessing faculty news schedules event times and academic results which were previously only available via physical boards. by providing a centralized accessible web portal the system ensures efficient information flow saves students time and effort and serves as a convenient channel for announcements and academic materials.. the bfci student portal is a web-based information system developed to bridge the communication gap between the faculty administration professors and students. it acts as a centralized hub where administrators can manage users professors can upload materials and create posts and student affairs can publish schedules and results. the platform is designed to be accessible anytime and anywhere providing a modern digital alternative to traditional physical notice boards.,157,"['professors students administration', 'including professors students', 'informatics bfci benha', 'bfci benha university', 'accessible web portal', 'bfci student portal', 'saves students time', 'student affairs']",61.37
32,,Bilingual: Automatic Translation Chat,"Ahmed Ibrahim Tantawy, Ahmed Hamdy Abd-El-Halim, Amira Youssef Mustafa, Reham Salah Mohamed, Fatma Saber Khalf, Hadeer Ramadan Hamid",2018,"The Bilingual project addresses the persistent barrier of language differences in global communication by developing a modern chat application that facilitates seamless interaction between users of different nationalities. By integrating real-time automatic translation, the system enables individuals to communicate in their native languages, thereby fostering cross-cultural connections and information exchange. This project aims to bridge the gap between advanced technological connectivity and the fundamental human need for effective, multilingual communication in the 21st century.","Immediate communication between different people of different nationalities and languages has been the center of our concern and the thing that drove us to search and look for real solutions that when applied, can make a real difference in human communication.","It must have happened that you want to talk to a person from another country for some reason but you can't speak the language of that person, you have no idea about that language, barely know a few words or rather no words at all! This is a serious matter especially when we're living in the 21st century where everything is connected, you can find information on any subject, anywhere and in anytime only by going online, you can be where you are now and miraculously witness second by second a live event on the other side of the world! Humans have landed on the Moon and currently exploring Mars, but how can we be at that level of scientific knowledge and technological advance while we are struggling to speak other people's languages? Connect to them? Share information on different aspects of life? Build friendships and/or perhaps relationships?!","The proposed solution is a specialized chat application that incorporates an automatic translation engine to bridge language gaps in real-time. By allowing users to send messages in their native language while the recipient receives them in their own, the application eliminates the need for manual translation or fluency in a foreign language. This approach ensures that users can build friendships, share information, and engage in meaningful dialogue regardless of their linguistic background.","1. Enhance user experience and usability.
2. Implement intelligent AI-based functionalities.
3. Provide accurate and reliable functionality.
4. Implement modern technologies and best practices.
5. Support future scalability and feature expansion.
6. Improve decision-making using artificial intelligence techniques.
7. Develop a scalable and maintainable solution.","Bilingual: Automatic Translation Chat. The Bilingual project addresses the persistent barrier of language differences in global communication by developing a modern chat application that facilitates seamless interaction between users of different nationalities. By integrating real-time automatic translation, the system enables individuals to communicate in their native languages, thereby fostering cross-cultural connections and information exchange. This project aims to bridge the gap between advanced technological connectivity and the fundamental human need for effective, multilingual communication in the 21st century.. Immediate communication between different people of different nationalities and languages has been the center of our concern and the thing that drove us to search and look for real solutions that when applied, can make a real difference in human communication.",bilingual automatic translation chat. the bilingual project addresses the persistent barrier of language differences in global communication by developing a modern chat application that facilitates seamless interaction between users of different nationalities. by integrating real-time automatic translation the system enables individuals to communicate in their native languages thereby fostering cross-cultural connections and information exchange. this project aims to bridge the gap between advanced technological connectivity and the fundamental human need for effective multilingual communication in the 21st century.. immediate communication between different people of different nationalities and languages has been the center of our concern and the thing that drove us to search and look for real solutions that when applied can make a real difference in human communication.,119,"['fostering cross-cultural connections', 'facilitates seamless interaction', 'bilingual automatic translation', 'real-time automatic translation', 'integrating real-time automatic', 'bilingual project addresses', 'automatic translation chat', 'system enables individuals', 'modern chat application']",100.0
34,,Birds breeding and care system,"Ahmed Hamdy Wahba Moussa, Ahmed Abdel Khaleq Abdel Azim, Ahmed Salem Ismail Gabr, Ahmed Khairat Helmy Amer",2021,"A customer finds it very difficult to search for the birds diseases and find best treatment as he/she has to browse multiple websites, contact many doctors and etc. which is a tedious process and is time consuming. From here we came to the idea of our project. There should be a system help the user should have all information about diseases and treatment Internet with a single click our project offers. We provide the most suitably designed as well as the customized all diseases information to the customers. We offer everything related to birds treatment services under one roof.","The Birds Breeding and Care System is a web-based platform designed to assist bird breeders and farmers in managing their operations. It provides a centralized repository of information regarding bird diseases, symptoms, and recommended treatments. The system includes user authentication, allowing registered users to access specialized services, while providing general information to guests. It aims to bridge the knowledge gap in the poultry sector and improve the efficiency of bird care.","Bird breeders face significant challenges due to a lack of accessible, reliable information regarding bird diseases and treatments. This knowledge gap, combined with the difficulty of consulting experts, leads to financial losses, high mortality rates, and inefficient breeding practices, ultimately impacting the food supply.","A centralized web-based information system that provides users with easy access to a comprehensive database of bird diseases, symptoms, and treatments. The system allows users to search for specific conditions, receive guidance on care, and manage their breeding information through a secure, user-friendly interface.","1. Improve decision-making using artificial intelligence techniques.
2. Support future scalability and feature expansion.
3. Develop a scalable and maintainable solution.
4. Reduce operational complexity and improve efficiency.
5. Improve accessibility across different devices and platforms.","Birds breeding and care system. A customer finds it very difficult to search for the birds diseases and find best treatment as he/she has to browse multiple websites, contact many doctors and etc. which is a tedious process and is time consuming. From here we came to the idea of our project. There should be a system help the user should have all information about diseases and treatment Internet with a single click our project offers. We provide the most suitably designed as well as the customized all diseases information to the customers. We offer everything related to birds treatment services under one roof.. The Birds Breeding and Care System is a web-based platform designed to assist bird breeders and farmers in managing their operations. It provides a centralized repository of information regarding bird diseases, symptoms, and recommended treatments. The system includes user authentication, allowing registered users to access specialized services, while providing general information to guests. It aims to bridge the knowledge gap in the poultry sector and improve the efficiency of bird care.",birds breeding and care system. a customer finds it very difficult to search for the birds diseases and find best treatment as he/she has to browse multiple websites contact many doctors and etc. which is a tedious process and is time consuming. from here we came to the idea of our project. there should be a system help the user should have all information about diseases and treatment internet with a single click our project offers. we provide the most suitably designed as well as the customized all diseases information to the customers. we offer everything related to birds treatment services under one roof.. the birds breeding and care system is a web-based platform designed to assist bird breeders and farmers in managing their operations. it provides a centralized repository of information regarding bird diseases symptoms and recommended treatments. the system includes user authentication allowing registered users to access specialized services while providing general information to guests. it aims to bridge the knowledge gap in the poultry sector and improve the efficiency of bird care.,175,"['multiple websites contact', 'browse multiple websites', 'diseases information', 'breeding and care', 'birds breeding', 'birds diseases', 'customer finds', 'care system']",100.0
35,,Blaghaty (Improve the Civilization Scene),"Omar Elhamy Abdel Slam, Ahmed Mohamed Fetoh, Mohamed Ramadan Mohamed, Osama Ragab Ahmed, Amira Ahmed Mostafa, Mohamed Yahia Mohamed, Hassan Ahmed Hassan, Bilal Ahmed Abdel Fatah",2023,"We all suffer from violations daily, but it's hard for us to report them for several reasons and this causes the repetition of this violation and the increase of negative effects caused by this. Thus, we thought about a solution to limit violations using cell phones and our application was the idea. Blaghaty is an application that allows citizens to report any violation they see at any place and time whatever the violation is whether: Traffic, Environmental ... etc. This is done by: Taking a photo of the violation, writing out it. The location of the violation will be directed to the competent authorities to deal with it after confirming the validity of the violation.","Blaghaty is a mobile application designed to empower citizens to report various types of violations, such as traffic or environmental issues, in real-time. By leveraging mobile technology and AI-driven conversational interfaces (Dialogflow), the app streamlines the reporting process, allowing users to submit photos and descriptions of violations, which are then routed to the appropriate authorities for verification and action.","Citizens face significant difficulties in reporting daily violations due to complex or inaccessible reporting channels, leading to the persistence and repetition of these violations and negative societal impacts.","A user-friendly mobile application (Android/iOS) that enables citizens to easily report violations by capturing photos and providing descriptions, which are then processed and forwarded to relevant authorities for validation and resolution.","1. Develop a scalable and maintainable solution.
2. Implement intelligent AI-based functionalities.
3. Implement modern technologies and best practices.
4. Create a mobile-friendly and accessible application.
5. Improve mobile application usability and performance.
6. Improve overall productivity and workflow optimization.
7. Improve decision-making using artificial intelligence techniques.","Blaghaty (Improve the Civilization Scene). We all suffer from violations daily, but it's hard for us to report them for several reasons and this causes the repetition of this violation and the increase of negative effects caused by this. Thus, we thought about a solution to limit violations using cell phones and our application was the idea. Blaghaty is an application that allows citizens to report any violation they see at any place and time whatever the violation is whether: Traffic, Environmental ... etc. This is done by: Taking a photo of the violation, writing out it. The location of the violation will be directed to the competent authorities to deal with it after confirming the validity of the violation.. Blaghaty is a mobile application designed to empower citizens to report various types of violations, such as traffic or environmental issues, in real-time. By leveraging mobile technology and AI-driven conversational interfaces (Dialogflow), the app streamlines the reporting process, allowing users to submit photos and descriptions of violations, which are then routed to the appropriate authorities for verification and action.",blaghaty improve the civilization scene . we all suffer from violations daily but it s hard for us to report them for several reasons and this causes the repetition of this violation and the increase of negative effects caused by this. thus we thought about a solution to limit violations using cell phones and our application was the idea. blaghaty is an application that allows citizens to report any violation they see at any place and time whatever the violation is whether traffic environmental ... etc. this is done by taking a photo of the violation writing out it. the location of the violation will be directed to the competent authorities to deal with it after confirming the validity of the violation.. blaghaty is a mobile application designed to empower citizens to report various types of violations such as traffic or environmental issues in real-time. by leveraging mobile technology and ai-driven conversational interfaces dialogflow the app streamlines the reporting process allowing users to submit photos and descriptions of violations which are then routed to the appropriate authorities for verification and action.,181,"['improve the civilization', 'negative effects caused', 'increase of negative', 'civilization scene', 'citizens to report', 'blaghaty improve', 'violations daily', 'limit violations']",97.65
36,,Blood Share,"Ehab Samir Emam Emam, Ayman Khaled Abo Elghiet, Abdulrhman Mohamed Abdeldaiem, Gamal Elsayed Shaban, Ahmed Sabry Elsayed",2017,"This project presents Blood Share, a system designed to assist individuals in need of blood by allowing them to publish their condition and request donations. The system facilitates communication between donors and those in need through an integrated chat feature. The project includes both an Android application and a web portal, providing a comprehensive solution for managing blood requests, donor coordination, and administrative reporting.","Blood Share is a dual-platform system consisting of an Android mobile application for users and a web-based management interface for administrators. It streamlines the process of requesting blood, finding donors, and managing medical data. The system ensures data integrity and efficient communication, replacing traditional, paper-based methods of blood donation coordination.","The traditional method of requesting blood is inefficient, relying on manual communication and paper-based records. This leads to difficulties in locating donors, managing blood type requirements, tracking the location of injured persons, and maintaining data integrity, often resulting in critical delays during emergencies.","The project provides an Android application for users to post and respond to blood requests, and a web-based administrative dashboard to manage users, requests, and generate reports. The system uses a centralized database hosted on Hostinger, connected via web services, to ensure real-time synchronization between the mobile app and the web portal.","1. Improve workflow and management efficiency.
2. Improve overall productivity and workflow optimization.
3. Support future scalability and feature expansion.
4. Improve mobile application usability and performance.
5. Enhance user experience and usability.
6. Implement modern technologies and best practices.","Blood Share. This project presents Blood Share, a system designed to assist individuals in need of blood by allowing them to publish their condition and request donations. The system facilitates communication between donors and those in need through an integrated chat feature. The project includes both an Android application and a web portal, providing a comprehensive solution for managing blood requests, donor coordination, and administrative reporting.. Blood Share is a dual-platform system consisting of an Android mobile application for users and a web-based management interface for administrators. It streamlines the process of requesting blood, finding donors, and managing medical data. The system ensures data integrity and efficient communication, replacing traditional, paper-based methods of blood donation coordination.",blood share. this project presents blood share a system designed to assist individuals in need of blood by allowing them to publish their condition and request donations. the system facilitates communication between donors and those in need through an integrated chat feature. the project includes both an android application and a web portal providing a comprehensive solution for managing blood requests donor coordination and administrative reporting.. blood share is a dual-platform system consisting of an android mobile application for users and a web-based management interface for administrators. it streamlines the process of requesting blood finding donors and managing medical data. the system ensures data integrity and efficient communication replacing traditional paper-based methods of blood donation coordination.,116,"['publish their condition', 'project presents blood', 'presents blood share', 'blood requests donor', 'designed to assist', 'assist individuals', 'system designed']",94.97
37,,Building DSS with data warehouse for scientific researchers,"Amr Hamdy Abd elwahab El-Kotory, Hassan Ibrahim Mohamed Omran, Mohamed Ahmed Abd Rabo Ahmed, Salah Salem Salem El-Dahshan, Eslam Ayman Mohamed Meselhy",2017,"The scientific researcher is basically based on one of the most highly scientific field of Google Corporation called google scholar which concerns to collect all scientific researches, articles, journals from academic researchers enrolled in different universities all over the world. All of these researches available online with citation for every research and all citation for each researcher there are many organizations depend on google scholar to rank work of all universities that have verified mail on google scholar. Our mission was to find a suitable method using Python language to extract all data of any university from Google Scholar using verified mail of university and build our own huge data warehouse that enable us to rank work of university and faculties that we need, provide reports help decision makers to achieve performance of these faculties that reflect positively on performance of university and obtain strength and weakness points, evolution, expectations and recommendations of the publishing and scientific operation of different universities.","This project involves the development of a Decision Support System (DSS) integrated with a data warehouse to analyze and rank academic institutions based on scientific research output. By leveraging web scraping techniques to extract data from Google Scholar, the system aggregates publication and citation metrics to provide actionable insights for university decision-makers regarding research performance and institutional ranking.","Extracting decision support reports at the university or national levels is difficult, as it requires browsing thousands of webpages to gather important data. Current ranking systems often suffer from inaccuracies, such as the 'bubble HEI' phenomenon, where rankings are skewed by a small number of highly-cited researchers, leading to false ratings of Higher Education Institutions.","The project proposes building a dedicated data warehouse that utilizes Python-based web scraping to collect comprehensive publication and citation data from Google Scholar. This data is then processed to generate objective decision support reports that evaluate university performance, track research evolution, and provide a more accurate ranking mechanism compared to existing webometric indicators.","1. Provide accurate and reliable functionality.
2. Improve decision-making using artificial intelligence techniques.
3. Enhance user experience and usability.
4. Support future scalability and feature expansion.
5. Implement modern technologies and best practices.","Building DSS with data warehouse for scientific researchers. The scientific researcher is basically based on one of the most highly scientific field of Google Corporation called google scholar which concerns to collect all scientific researches, articles, journals from academic researchers enrolled in different universities all over the world. All of these researches available online with citation for every research and all citation for each researcher there are many organizations depend on google scholar to rank work of all universities that have verified mail on google scholar. Our mission was to find a suitable method using Python language to extract all data of any university from Google Scholar using verified mail of university and build our own huge data warehouse that enable us to rank work of university and faculties that we need, provide reports help decision makers to achieve performance of these faculties that reflect positively on performance of university and obtain strength and weakness points, evolution, expectations and recommendations of the publishing and scientific operation of different universities.. This project involves the development of a Decision Support System (DSS) integrated with a data warehouse to analyze and rank academic institutions based on scientific research output. By leveraging web scraping techniques to extract data from Google Scholar, the system aggregates publication and citation metrics to provide actionable insights for university decision-makers regarding research performance and institutional ranking.",building dss with data warehouse for scientific researchers. the scientific researcher is basically based on one of the most highly scientific field of google corporation called google scholar which concerns to collect all scientific researches articles journals from academic researchers enrolled in different universities all over the world. all of these researches available online with citation for every research and all citation for each researcher there are many organizations depend on google scholar to rank work of all universities that have verified mail on google scholar. our mission was to find a suitable method using python language to extract all data of any university from google scholar using verified mail of university and build our own huge data warehouse that enable us to rank work of university and faculties that we need provide reports help decision makers to achieve performance of these faculties that reflect positively on performance of university and obtain strength and weakness points evolution expectations and recommendations of the publishing and scientific operation of different universities.. this project involves the development of a decision support system dss integrated with a data warehouse to analyze and rank academic institutions based on scientific research output. by leveraging web scraping techniques to extract data from google scholar the system aggregates publication and citation metrics to provide actionable insights for university decision-makers regarding research performance and institutional ranking.,227,"['scientific researches articles', 'academic researchers enrolled', 'corporation called google', 'highly scientific field', 'scientific researchers', 'called google scholar', 'data warehouse', 'verified mail', 'building dss', 'rank work']",100.0
38,,BUS PLUS: An intelligent Transportation mobile application,"Abdelrahman Alaa Abdelsatar, Abdulhakim Abdulrazak Abdulhakim, Habiba Hesham Elsharkawy, Mazen Shawky Abdelsadek, Nouran Mohamed Saad Eldin, Reem Mohamed Abdelnaby",2022,"Bus Plus application is an intelligent transportation mobile application that cooperates with government buses. It helps passengers in locating them then by selecting the station they are in and the station they will go to, the application starts to give information about (what the bus number that will pass the same direction is). With those abilities the application can facilitate public transportation for people and blind people. When the user chooses that he is one of the blind people, the application starts to read every single line by voice to make the user fill the required information in an easy manner.","Bus Plus is a mobile application designed to modernize public transportation by providing real-time bus tracking and route information. It specifically addresses the needs of the general public and visually impaired users by offering a voice-guided interface to help them identify the correct buses and stations, thereby reducing travel delays and navigation errors.","Public buses often lack reliable schedules and clear stop information, leading to delays and uncertainty for passengers. Additionally, existing transportation applications are not optimized for visually impaired users, who struggle to navigate public transit systems independently.","The project proposes an intelligent mobile application that utilizes GPS technology to track bus locations in real-time. It allows users to input their current station and destination to receive accurate bus arrival information, with a dedicated voice-command and text-to-speech interface to ensure accessibility for blind users.","1. Improve decision-making using artificial intelligence techniques.
2. Implement intelligent AI-based functionalities.
3. Support future scalability and feature expansion.
4. Implement modern technologies and best practices.
5. Provide accurate and reliable functionality.
6. Improve system performance and reliability.","BUS PLUS: An intelligent Transportation mobile application. Bus Plus application is an intelligent transportation mobile application that cooperates with government buses. It helps passengers in locating them then by selecting the station they are in and the station they will go to, the application starts to give information about (what the bus number that will pass the same direction is). With those abilities the application can facilitate public transportation for people and blind people. When the user chooses that he is one of the blind people, the application starts to read every single line by voice to make the user fill the required information in an easy manner.. Bus Plus is a mobile application designed to modernize public transportation by providing real-time bus tracking and route information. It specifically addresses the needs of the general public and visually impaired users by offering a voice-guided interface to help them identify the correct buses and stations, thereby reducing travel delays and navigation errors.",bus plus an intelligent transportation mobile application. bus plus application is an intelligent transportation mobile application that cooperates with government buses. it helps passengers in locating them then by selecting the station they are in and the station they will go to the application starts to give information about what the bus number that will pass the same direction is . with those abilities the application can facilitate public transportation for people and blind people. when the user chooses that he is one of the blind people the application starts to read every single line by voice to make the user fill the required information in an easy manner.. bus plus is a mobile application designed to modernize public transportation by providing real-time bus tracking and route information. it specifically addresses the needs of the general public and visually impaired users by offering a voice-guided interface to help them identify the correct buses and stations thereby reducing travel delays and navigation errors.,162,"['intelligent transportation mobile', 'transportation mobile application', 'facilitate public transportation', 'modernize public transportation', 'mobile application designed', 'application starts', 'blind people', 'bus number']",90.64
39,,"Car Security System [Raspberry Pi, PHP, Android]","Ahmed Raafat Abd El-Zaher, Ahmed Yousry Abd El-Satar, Amany Youssef Hassan, Fawzeya Rashed Abd El-Hamid, Reham Khaled, Sarah Yacoub Fahmy, Zienab Abd El-Naser Mohamed",2015,"The Car Security System is an integrated anti-theft solution designed to enhance vehicle safety through real-time monitoring and remote control. By leveraging the Raspberry Pi platform, the system provides GPS tracking, engine control, and sensor-based alerts, allowing owners to monitor their vehicle's status and location via a mobile interface. This project aims to provide a cost-effective and user-friendly alternative to existing commercial vehicle tracking services.","This project is an embedded system designed for vehicle security and tracking. It utilizes a Raspberry Pi as the central processing unit, connected to various sensors (PIR, switches) and a camera to detect unauthorized access. The system communicates with an Android mobile application, allowing users to track the vehicle's location, receive alerts, and remotely control vehicle functions such as engine ignition or door locks.","Vehicle theft is a persistent criminal issue. Existing anti-theft solutions are often expensive or lack comprehensive features, leaving vehicle owners with limited options for effective, real-time monitoring and remote intervention in the event of a theft.","The proposed solution is a low-cost, integrated embedded system based on the Raspberry Pi. It combines GPS tracking, mobile connectivity, and sensor integration to provide a comprehensive security suite that allows users to track their vehicle, receive instant notifications, and remotely disable the engine or monitor the interior via a mobile application.","1. Improve decision-making using artificial intelligence techniques.
2. Implement intelligent AI-based functionalities.
3. Improve tracking accuracy and operational visibility.
4. Improve overall productivity and workflow optimization.
5. Enhance system security and protect sensitive user data.","Car Security System [Raspberry Pi, PHP, Android]. The Car Security System is an integrated anti-theft solution designed to enhance vehicle safety through real-time monitoring and remote control. By leveraging the Raspberry Pi platform, the system provides GPS tracking, engine control, and sensor-based alerts, allowing owners to monitor their vehicle's status and location via a mobile interface. This project aims to provide a cost-effective and user-friendly alternative to existing commercial vehicle tracking services.. This project is an embedded system designed for vehicle security and tracking. It utilizes a Raspberry Pi as the central processing unit, connected to various sensors (PIR, switches) and a camera to detect unauthorized access. The system communicates with an Android mobile application, allowing users to track the vehicle's location, receive alerts, and remotely control vehicle functions such as engine ignition or door locks.",car security system raspberry pi php android . the car security system is an integrated anti-theft solution designed to enhance vehicle safety through real-time monitoring and remote control. by leveraging the raspberry pi platform the system provides gps tracking engine control and sensor-based alerts allowing owners to monitor their vehicle s status and location via a mobile interface. this project aims to provide a cost-effective and user-friendly alternative to existing commercial vehicle tracking services.. this project is an embedded system designed for vehicle security and tracking. it utilizes a raspberry pi as the central processing unit connected to various sensors pir switches and a camera to detect unauthorized access. the system communicates with an android mobile application allowing users to track the vehicle s location receive alerts and remotely control vehicle functions such as engine ignition or door locks.,139,"['integrated anti-theft solution', 'sensor-based alerts allowing', 'security system raspberry', 'safety through real-time', 'enhance vehicle safety', 'control. by leveraging', 'alerts allowing owners', 'monitoring and remote', 'real-time monitoring', 'car security system', 'gps tracking engine', 'owners to monitor', 'remote control.']",93.6
40,,Care System for the small Breeder,"Sherif Farouk Esmail Mohamed, Ahmed Farag Anwar Mohamed, Ahmed Hesham Abdelmaksoud, Ahmed Abdallah Mohamed, Ahmed Yasser Abo Elamaim, Ahmed Mossad Mohamed",2024,"This project addresses the challenges faced by small ruminant breeders in Egypt, such as high feed costs, disease outbreaks, and a lack of expert information. By developing an integrated website and mobile application, the system provides breeders with reliable information on optimal feeding, breeding methods, and care techniques. The project aims to improve the economic viability of small-scale breeding operations and contribute to the broader agricultural and economic reform in Egypt.","The Care System for the small Breeder is an integrated information system designed to support small-scale livestock farmers. It provides a platform for managing sheep and goat breeding, offering guidance on feeding, health management, and technical/economic evaluation to help breeders optimize their operations and increase profitability.","Small sheep and goat breeders suffer from high feed costs, frequent disease outbreaks, lack of access to expert information, and insufficient financial resources, which leads to low returns and hinders the development of the livestock sector.","An integrated information system consisting of a website and a mobile application that provides breeders with expert knowledge, optimal feeding strategies based on animal age and goals, and technical/economic evaluation tools to improve breeding outcomes.","1. Optimize resource allocation and task management.
2. Support future scalability and feature expansion.
3. Improve decision-making using artificial intelligence techniques.
4. Provide accurate and reliable functionality.
5. Improve accessibility across different devices and platforms.
6. Develop a scalable and maintainable solution.
7. Create a mobile-friendly and accessible application.
8. Implement intelligent AI-based functionalities.","Care System for the small Breeder. This project addresses the challenges faced by small ruminant breeders in Egypt, such as high feed costs, disease outbreaks, and a lack of expert information. By developing an integrated website and mobile application, the system provides breeders with reliable information on optimal feeding, breeding methods, and care techniques. The project aims to improve the economic viability of small-scale breeding operations and contribute to the broader agricultural and economic reform in Egypt.. The Care System for the small Breeder is an integrated information system designed to support small-scale livestock farmers. It provides a platform for managing sheep and goat breeding, offering guidance on feeding, health management, and technical/economic evaluation to help breeders optimize their operations and increase profitability.",care system for the small breeder. this project addresses the challenges faced by small ruminant breeders in egypt such as high feed costs disease outbreaks and a lack of expert information. by developing an integrated website and mobile application the system provides breeders with reliable information on optimal feeding breeding methods and care techniques. the project aims to improve the economic viability of small-scale breeding operations and contribute to the broader agricultural and economic reform in egypt.. the care system for the small breeder is an integrated information system designed to support small-scale livestock farmers. it provides a platform for managing sheep and goat breeding offering guidance on feeding health management and technical/economic evaluation to help breeders optimize their operations and increase profitability.,123,"['small-scale breeding operations', 'integrated information system', 'information system designed', 'optimal feeding breeding', 'feeding breeding methods', 'small ruminant breeders', 'costs disease outbreaks', 'feed costs disease', 'care techniques', 'high feed costs', 'small breeder', 'care system']",100.0
41,,Car-Sign Detection,"Alaa Bakr Abutaleb, Ahmed El-Sayed Ibrahim Mahmoud, Mostafa Gouda Mostafa Mohamed, Mostafa Mohamed Abdel Aziz Al-Hawala, Mahmoud Khaled Al-Azab",2019,"This project is specially developed to make it easy for traffic officers to catch traffic violation car plate numbers by taking photos of the car, extracting the plate from the natural complex image, and storing the result and the type of traffic violation in a database. The main objective is to design a computer-based system which can automatically detect the plate of the car using OCR and ANN technologies.","The project is an Automatic Number Plate Recognition (ANPR) system designed for mobile devices. It utilizes image processing techniques to capture vehicle images, detect the license plate area, segment the characters, and recognize them using Artificial Neural Networks (ANN) and Optical Character Recognition (OCR) to assist traffic authorities in identifying traffic violations.","Manual identification of traffic violations and license plate numbers by traffic officers is inefficient and prone to human error, especially in complex natural environments.","An automated mobile-based ANPR system that captures vehicle images, processes them to isolate the license plate, and uses OCR and ANN algorithms to accurately extract and store plate information for traffic management.","1. Support future scalability and feature expansion.
2. Improve system performance and reliability.
3. Improve decision-making using artificial intelligence techniques.
4. Reduce operational complexity and improve efficiency.
5. Develop a scalable and maintainable solution.
6. Create a mobile-friendly and accessible application.
7. Improve overall productivity and workflow optimization.","Car-Sign Detection. This project is specially developed to make it easy for traffic officers to catch traffic violation car plate numbers by taking photos of the car, extracting the plate from the natural complex image, and storing the result and the type of traffic violation in a database. The main objective is to design a computer-based system which can automatically detect the plate of the car using OCR and ANN technologies.. The project is an Automatic Number Plate Recognition (ANPR) system designed for mobile devices. It utilizes image processing techniques to capture vehicle images, detect the license plate area, segment the characters, and recognize them using Artificial Neural Networks (ANN) and Optical Character Recognition (OCR) to assist traffic authorities in identifying traffic violations.",car-sign detection. this project is specially developed to make it easy for traffic officers to catch traffic violation car plate numbers by taking photos of the car extracting the plate from the natural complex image and storing the result and the type of traffic violation in a database. the main objective is to design a computer-based system which can automatically detect the plate of the car using ocr and ann technologies.. the project is an automatic number plate recognition anpr system designed for mobile devices. it utilizes image processing techniques to capture vehicle images detect the license plate area segment the characters and recognize them using artificial neural networks ann and optical character recognition ocr to assist traffic authorities in identifying traffic violations.,123,"['identifying traffic violations', 'number plate recognition', 'catch traffic violation', 'automatic number plate', 'traffic violation car', 'natural complex image', 'violation car plate', 'car-sign detection', 'car plate numbers', 'car extracting']",100.0
42,,Cereboscan,"Mahmoud Ashraf, Karim Mahmoud",2025,"Recent technological advancements have paved the way for innovative approaches in uroscience and cognitive analysis, particularly in stress detection and mental health assessment. This study proposes a Brain-Computer Interface (BCI) utilizing Electroencephalography (EEG) and machine learning algorithms to classify stress levels in real-time. The research focuses on analyzing EEG signals from the prefrontal cortex (PFC), a key region involved in emotional regulation and cognitive processing. Stress is induced using a controlled experiment based on the Montreal Imaging Stress Task (MIST), incorporating time pressure and negative feedback. EEG data is recorded using the Emotive EpocX headset, capturing key frequency bands (Alpha, Beta, and Theta waves) that indicate stresS responses. This system enables real-time monitoring of cognitive and emotional states, facilitating early detection of stress, which is crucial for individuals experiencing high cognitive loads. Moreover, the integration of AI-driven EEG analysis in stress research opens new avenues for developing personalized mental health solutions, neuroadaptive interfaces, and continuous stress monitoring systems. By leveraging EEG and machine learning, this research contributes to the advancement of neurotechnology applications in mental well- being, workplace productivity, and clinical stress management","Cereboscan is an intelligent neurotechnology system designed to monitor and analyze stress levels using Brain-Computer Interface (BCI) technology, Electroencephalography (EEG), and machine learning techniques. The system focuses on capturing and processing brain signals from the prefrontal cortex to identify cognitive and emotional stress responses in real time. By utilizing EEG frequency bands such as Alpha, Beta, and Theta waves, the platform provides accurate stress classification and continuous cognitive state monitoring. The proposed solution aims to support mental health assessment, improve stress management, and enable the development of personalized neuroadaptive systems for healthcare, workplace productivity, and cognitive research applications.","The absence of a dedicated digital system for Cereboscan reduces the efficiency of data processing, analysis, and monitoring operations. Current manual and traditional approaches are time-consuming, prone to delays, and make it difficult to manage, track, and access critical information accurately and effectively.","Recent technological advancements have paved the way for innovative approaches in uroscience and cognitive analysis, particularly in stress detection and mental health assessment. This study proposes a Brain-Computer Interface (BCI) utilizing Electroencephalography (EEG) and machine learning algorithms to classify stress levels in real-time.","1. Develop a scalable and maintainable solution.
2. Improve workflow and management efficiency.
3. Enhance user experience and usability.
4. Generate accurate analytical insights and visualizations.
5. Support future scalability and feature expansion.
6. Improve patient monitoring and healthcare management.
7. Enhance healthcare efficiency and accessibility.","Cereboscan. Recent technological advancements have paved the way for innovative approaches in uroscience and cognitive analysis, particularly in stress detection and mental health assessment. This study proposes a Brain-Computer Interface (BCI) utilizing Electroencephalography (EEG) and machine learning algorithms to classify stress levels in real-time. The research focuses on analyzing EEG signals from the prefrontal cortex (PFC), a key region involved in emotional regulation and cognitive processing. Stress is induced using a controlled experiment based on the Montreal Imaging Stress Task (MIST), incorporating time pressure and negative feedback. EEG data is recorded using the Emotive EpocX headset, capturing key frequency bands (Alpha, Beta, and Theta waves) that indicate stresS responses. This system enables real-time monitoring of cognitive and emotional states, facilitating early detection of stress, which is crucial for individuals experiencing high cognitive loads. Moreover, the integration of AI-driven EEG analysis in stress research opens new avenues for developing personalized mental health solutions, neuroadaptive interfaces, and continuous stress monitoring systems. By leveraging EEG and machine learning, this research contributes to the advancement of neurotechnology applications in mental well- being, workplace productivity, and clinical stress management. Cereboscan is an intelligent neurotechnology system designed to monitor and analyze stress levels using Brain-Computer Interface (BCI) technology, Electroencephalography (EEG), and machine learning techniques. The system focuses on capturing and processing brain signals from the prefrontal cortex to identify cognitive and emotional stress responses in real time. By utilizing EEG frequency bands such as Alpha, Beta, and Theta waves, the platform provides accurate stress classification and continuous cognitive state monitoring. The proposed solution aims to support mental health assessment, improve stress management, and enable the development of personalized neuroadaptive systems for healthcare, workplace productivity, and cognitive research applications.",cereboscan. recent technological advancements have paved the way for innovative approaches in uroscience and cognitive analysis particularly in stress detection and mental health assessment. this study proposes a brain-computer interface bci utilizing electroencephalography eeg and machine learning algorithms to classify stress levels in real-time. the research focuses on analyzing eeg signals from the prefrontal cortex pfc a key region involved in emotional regulation and cognitive processing. stress is induced using a controlled experiment based on the montreal imaging stress task mist incorporating time pressure and negative feedback. eeg data is recorded using the emotive epocx headset capturing key frequency bands alpha beta and theta waves that indicate stress responses. this system enables real-time monitoring of cognitive and emotional states facilitating early detection of stress which is crucial for individuals experiencing high cognitive loads. moreover the integration of ai-driven eeg analysis in stress research opens new avenues for developing personalized mental health solutions neuroadaptive interfaces and continuous stress monitoring systems. by leveraging eeg and machine learning this research contributes to the advancement of neurotechnology applications in mental well- being workplace productivity and clinical stress management. cereboscan is an intelligent neurotechnology system designed to monitor and analyze stress levels using brain-computer interface bci technology electroencephalography eeg and machine learning techniques. the system focuses on capturing and processing brain signals from the prefrontal cortex to identify cognitive and emotional stress responses in real time. by utilizing eeg frequency bands such as alpha beta and theta waves the platform provides accurate stress classification and continuous cognitive state monitoring. the proposed solution aims to support mental health assessment improve stress management and enable the development of personalized neuroadaptive systems for healthcare workplace productivity and cognitive research applications.,282,"['brain-computer interface bci', 'electroencephalography eeg', 'mental health assessment', 'stress management', 'machine learning', 'stress responses', 'eeg and machine', 'stress levels']",94.47
43,,CHALLENGE YOURSELF,"Mohamed Zaki Gad, Mostafa Fathy Abd El-Razik, Mahmoud Ayman Abd El-Hafez, Omnia fahim Abd El-Rahman, Ebtsam Mohamed El-Sayed, Shymaa Adel Abd El-Shahid",2018,"Staying motivated is hard to do alone, so this group challenge application for web users is the first stage. What makes our app unique is that it allows users to create their own challenges with specific goals and invite friends to join. The main problem addressed is the lack of motivation and accountability when working alone. The application enables users to create challenges, track progress, and share moments with friends, fostering a supportive environment to achieve personal and group goals.","Challenge Yourself is a comprehensive platform designed to help individuals and groups achieve their goals through social accountability and structured tracking. It provides tools for users to define challenges, invite others, track progress, and maintain motivation through a social network-like interface. The system includes features for real-time communication, progress monitoring, and collaborative goal setting.","Individuals often struggle to stay motivated in their daily lives and fail to complete tasks due to a lack of external participation, accountability, and support from others.","A web and mobile application that allows users to create challenges, invite friends, track progress, and share achievements. It leverages social interaction and real-time features to keep users engaged and accountable to their goals.","1. Improve tracking accuracy and operational visibility.
2. Develop a scalable and maintainable solution.
3. Provide accurate and reliable functionality.
4. Improve overall productivity and workflow optimization.
5. Develop a responsive and user-friendly web application.
6. Implement modern technologies and best practices.
7. Reduce operational complexity and improve efficiency.
8. Improve decision-making using artificial intelligence techniques.","CHALLENGE YOURSELF. Staying motivated is hard to do alone, so this group challenge application for web users is the first stage. What makes our app unique is that it allows users to create their own challenges with specific goals and invite friends to join. The main problem addressed is the lack of motivation and accountability when working alone. The application enables users to create challenges, track progress, and share moments with friends, fostering a supportive environment to achieve personal and group goals.. Challenge Yourself is a comprehensive platform designed to help individuals and groups achieve their goals through social accountability and structured tracking. It provides tools for users to define challenges, invite others, track progress, and maintain motivation through a social network-like interface. The system includes features for real-time communication, progress monitoring, and collaborative goal setting.",challenge yourself. staying motivated is hard to do alone so this group challenge application for web users is the first stage. what makes our app unique is that it allows users to create their own challenges with specific goals and invite friends to join. the main problem addressed is the lack of motivation and accountability when working alone. the application enables users to create challenges track progress and share moments with friends fostering a supportive environment to achieve personal and group goals.. challenge yourself is a comprehensive platform designed to help individuals and groups achieve their goals through social accountability and structured tracking. it provides tools for users to define challenges invite others track progress and maintain motivation through a social network-like interface. the system includes features for real-time communication progress monitoring and collaborative goal setting.,136,"['group challenge application', 'create challenges track', 'staying motivated', 'users to create', 'track progress', 'web users']",100.0
44,,Chat-Wave,"Mohamed Hassan Ali Elkady, Hassan Abdelfatah Hassan Elsayed, Alaa Ezzat Sobhy Ahmed, Abdullah Mahany Kamal Mahany, Mohamed Samir Mohamed Mahmoud, Omar Magdy Said Goda, Hassan Mohamed Hassan Elzerady, Mohamed Mursi Elbatayhi Abdelhamid",2024,"Chat Wave is a chat application equipped with cutting-edge technology to enhance the security of voice messages. Our app utilizes an AI model specifically designed for voice message detection. This AI model analyzes uploaded voice messages, examining various acoustic attributes and patterns, to determine their authenticity. By leveraging this technology, Chat Wave offers users a reliable means of verifying the realness of voice messages exchanged within the app.","Our app, named ""Chat Wave"" offers a chat service with advanced features focused on ensuring the security and authenticity of voice messages. In addition to standard messaging capabilities, we have integrated an AI model for voice message detection. This AI model analyses uploaded voice messages to determine if they are real or fake, providing an extra layer of security and trust for our users.","The problem addressed by Chat Wave is the lack of security and authenticity in voice messages exchanged through chat services. Voice messages have become a popular means of communication, but they can be easily manipulated or faked, leading to potential issues such as impersonation, misinformation, or privacy breaches. The challenge is to ensure that voice messages exchanged on the platform are genuine and trustworthy. Seamless management and improves overall efficiency","Chat-Wave provides a secure chat service by integrating an advanced AI model for real-time voice message detection. This model analyzes various acoustic attributes and patterns of uploaded voice messages, including MFCC, Mel Spectrogram, and Chroma features, to determine their authenticity. Utilizing deep learning techniques, specifically Convolutional Neural Networks (CNN) implemented with TensorFlow and Keras, the system identifies manipulated or fake audio, thereby ensuring the genuineness and trustworthiness of communications within the application.","1. Improve overall productivity and workflow optimization.
2. Improve system performance and reliability.
3. Implement secure authentication and authorization mechanisms.
4. Improve decision-making using artificial intelligence techniques.
5. Implement modern technologies and best practices.
6. Support future scalability and feature expansion.","Chat-Wave. Chat Wave is a chat application equipped with cutting-edge technology to enhance the security of voice messages. Our app utilizes an AI model specifically designed for voice message detection. This AI model analyzes uploaded voice messages, examining various acoustic attributes and patterns, to determine their authenticity. By leveraging this technology, Chat Wave offers users a reliable means of verifying the realness of voice messages exchanged within the app.. Our app, named ""Chat Wave"" offers a chat service with advanced features focused on ensuring the security and authenticity of voice messages. In addition to standard messaging capabilities, we have integrated an AI model for voice message detection. This AI model analyses uploaded voice messages to determine if they are real or fake, providing an extra layer of security and trust for our users.",chat-wave. chat wave is a chat application equipped with cutting-edge technology to enhance the security of voice messages. our app utilizes an ai model specifically designed for voice message detection. this ai model analyzes uploaded voice messages examining various acoustic attributes and patterns to determine their authenticity. by leveraging this technology chat wave offers users a reliable means of verifying the realness of voice messages exchanged within the app.. our app named chat wave offers a chat service with advanced features focused on ensuring the security and authenticity of voice messages. in addition to standard messaging capabilities we have integrated an ai model for voice message detection. this ai model analyses uploaded voice messages to determine if they are real or fake providing an extra layer of security and trust for our users.,133,"['voice messages examining', 'voice messages exchanged', 'voice message detection', 'uploaded voice messages', 'chat wave offers']",100.0
45,,Cheat Detection System,"Ahmed Megahed Fettouh, Bassem Hossam Saad, Hazem Tarek Mahmoud, Nashwa Ramadan Mahmoud, Yara Akram Mohammed, Aya Elsayed Abdelfattah",2023,"In the modern era, different universities keep track of student attendance using face recognition verification system or manually. Attendance management is a daunting and important task. In a biometric authentication system, the system keeps track of students' attendance and avoids fake entries. In this project, we focus on proposing a smart attendance management system based on facial recognition and focuses on cheat detection. Examination cheating is not a new problem. Cheating among students has been a known problem of which knowledge is difficult to gain. There are different approaches to cheat on an exam. Students can use passing note, phones and other methods. The increasing rates of cheating during examinations in Egypt, that results in an unfair educational experience. Developing a classroom monitoring system using AI to detect possible cheating incidents during examinations that creates a fair and safe examination environment. We develop a desktop-based application for cheat detection system to be used by both the doctor and assistant. Where the assistant uses it to take attendance of students and detect who can cheat, and the doctor can see reports on students' attendance and report on cheating student. The aim of this project is to help professors and teaching assistants because they are suffering from students monitoring activities in the exam rooms which are hard, boring, and time-consuming missions. So, the challenge was to make a reliable system to detect cheating. This project creates a safe and fair examination environment for students that eliminates the high rates of cheating during examinations in Egypt, by implementing a system that detects possible cheating incidents in physical exams. Consequently, violating academic integrity creates a critical issue that negatively affects the reputation of the national education system and the quality, and competence of graduates.","Cheating in exams has long been a problem that educational institutions around the world are trying to eliminate. And only recently it has become necessary to stop it due to the technological revolution and the use of the Internet. Cheating is a type of academic dishonesty. It includes helping another student with an exam without the permission of the professor, accessing an exam, or using unauthorized material on an exam.","The nature and motives of the person who cheats: The person who commits the act of fraud may fall under one of the following patterns: [6] 1- The greedy: He is the one who wants to take more than he deserves and more than what his faculties and capabilities allow. 2- Thief: He is the one who robs others of their property and rights 3- The rebel: Cheating here is a departure from power, breaking its laws and deceiving it, and all of this gives the sense of breaking the authority of the teacher, the school, society, and the government. 4- The psychopath: who does not respect the systems and laws of society, lives for his desires and gains, and does not learn from his mistakes.","The project proposes a desktop-based application that utilizes artificial intelligence and facial recognition technology to monitor examination environments. The system automates student attendance tracking and identifies potential cheating behaviors in real-time, providing professors and teaching assistants with actionable reports to ensure a fair and secure testing environment.","1. Support future scalability and feature expansion.
2. Provide interactive educational tools and resources.
3. Implement intelligent AI-based functionalities.
4. Enhance user experience and usability.
5. Improve workflow and management efficiency.
6. Improve system performance and reliability.
7. Implement modern technologies and best practices.
8. Reduce operational complexity and improve efficiency.","Cheat Detection System. In the modern era, different universities keep track of student attendance using face recognition verification system or manually. Attendance management is a daunting and important task. In a biometric authentication system, the system keeps track of students' attendance and avoids fake entries. In this project, we focus on proposing a smart attendance management system based on facial recognition and focuses on cheat detection. Examination cheating is not a new problem. Cheating among students has been a known problem of which knowledge is difficult to gain. There are different approaches to cheat on an exam. Students can use passing note, phones and other methods. The increasing rates of cheating during examinations in Egypt, that results in an unfair educational experience. Developing a classroom monitoring system using AI to detect possible cheating incidents during examinations that creates a fair and safe examination environment. We develop a desktop-based application for cheat detection system to be used by both the doctor and assistant. Where the assistant uses it to take attendance of students and detect who can cheat, and the doctor can see reports on students' attendance and report on cheating student. The aim of this project is to help professors and teaching assistants because they are suffering from students monitoring activities in the exam rooms which are hard, boring, and time-consuming missions. So, the challenge was to make a reliable system to detect cheating. This project creates a safe and fair examination environment for students that eliminates the high rates of cheating during examinations in Egypt, by implementing a system that detects possible cheating incidents in physical exams. Consequently, violating academic integrity creates a critical issue that negatively affects the reputation of the national education system and the quality, and competence of graduates.. Cheating in exams has long been a problem that educational institutions around the world are trying to eliminate. And only recently it has become necessary to stop it due to the technological revolution and the use of the Internet. Cheating is a type of academic dishonesty. It includes helping another student with an exam without the permission of the professor, accessing an exam, or using unauthorized material on an exam.",cheat detection system. in the modern era different universities keep track of student attendance using face recognition verification system or manually. attendance management is a daunting and important task. in a biometric authentication system the system keeps track of students attendance and avoids fake entries. in this project we focus on proposing a smart attendance management system based on facial recognition and focuses on cheat detection. examination cheating is not a new problem. cheating among students has been a known problem of which knowledge is difficult to gain. there are different approaches to cheat on an exam. students can use passing note phones and other methods. the increasing rates of cheating during examinations in egypt that results in an unfair educational experience. developing a classroom monitoring system using ai to detect possible cheating incidents during examinations that creates a fair and safe examination environment. we develop a desktop-based application for cheat detection system to be used by both the doctor and assistant. where the assistant uses it to take attendance of students and detect who can cheat and the doctor can see reports on students attendance and report on cheating student. the aim of this project is to help professors and teaching assistants because they are suffering from students monitoring activities in the exam rooms which are hard boring and time-consuming missions. so the challenge was to make a reliable system to detect cheating. this project creates a safe and fair examination environment for students that eliminates the high rates of cheating during examinations in egypt by implementing a system that detects possible cheating incidents in physical exams. consequently violating academic integrity creates a critical issue that negatively affects the reputation of the national education system and the quality and competence of graduates.. cheating in exams has long been a problem that educational institutions around the world are trying to eliminate. and only recently it has become necessary to stop it due to the technological revolution and the use of the internet. cheating is a type of academic dishonesty. it includes helping another student with an exam without the permission of the professor accessing an exam or using unauthorized material on an exam.,363,"['attendance management system', 'cheat detection system', 'students attendance']",38.0
46,,Check Up,"Hassan Abdelrahman Hassan Abdelrahman, Habiba Ramadan Mohamed Mostafa, Hassan Mohamed Tarek Hassan, Aya Ahmed Mousa Mohamed, Khaled Waleed Monier Ahmed, Mohamed Ibrahiem Mohamed Ibrahiem",2024,"The application Guidoma (Check Up) is concerned with the medical follow-up of patients. It utilizes an AI chatbot to perform initial patient assessments to determine potential cancer risks. The system supports the identification of six types of cancer (Breast, Skin, Brain, Lungs, Colon, Leukemia). Additionally, it provides a platform for patient-doctor communication, medical history storage, emergency assistance, medication/chemotherapy scheduling, and location services for nearby medical facilities.","Check Up is a comprehensive mobile health application designed to mimic the presence of a doctor for early cancer detection and patient management. By analyzing medical images and utilizing an intelligent chatbot, the system provides users with immediate health insights, reducing the need for initial specialist visits. It also serves as a holistic health companion by managing appointments, medication reminders, and connecting patients with nearby hospitals and pharmacies.","Cancer is a leading cause of death worldwide, with early detection being critical for survival. Many patients face barriers to timely diagnosis, including financial constraints, difficulty accessing specialists, and the psychological burden of the disease, which can exacerbate health outcomes.","The project proposes an AI-driven mobile application that enables users to upload medical images for automated cancer classification and interact with a chatbot for preliminary health screening. The solution bridges the gap between patients and medical care by providing remote diagnostic support, medication tracking, and a communication platform to connect patients with doctors and support networks.","1. Improve system performance and reliability.
2. Reduce operational complexity and improve efficiency.
3. Provide accurate and reliable functionality.
4. Improve overall productivity and workflow optimization.
5. Create a mobile-friendly and accessible application.
6. Optimize resource allocation and task management.
7. Improve decision-making using artificial intelligence techniques.
8. Improve patient monitoring and healthcare management.","Check Up. The application Guidoma (Check Up) is concerned with the medical follow-up of patients. It utilizes an AI chatbot to perform initial patient assessments to determine potential cancer risks. The system supports the identification of six types of cancer (Breast, Skin, Brain, Lungs, Colon, Leukemia). Additionally, it provides a platform for patient-doctor communication, medical history storage, emergency assistance, medication/chemotherapy scheduling, and location services for nearby medical facilities.. Check Up is a comprehensive mobile health application designed to mimic the presence of a doctor for early cancer detection and patient management. By analyzing medical images and utilizing an intelligent chatbot, the system provides users with immediate health insights, reducing the need for initial specialist visits. It also serves as a holistic health companion by managing appointments, medication reminders, and connecting patients with nearby hospitals and pharmacies.",check up. the application guidoma check up is concerned with the medical follow-up of patients. it utilizes an ai chatbot to perform initial patient assessments to determine potential cancer risks. the system supports the identification of six types of cancer breast skin brain lungs colon leukemia . additionally it provides a platform for patient-doctor communication medical history storage emergency assistance medication/chemotherapy scheduling and location services for nearby medical facilities.. check up is a comprehensive mobile health application designed to mimic the presence of a doctor for early cancer detection and patient management. by analyzing medical images and utilizing an intelligent chatbot the system provides users with immediate health insights reducing the need for initial specialist visits. it also serves as a holistic health companion by managing appointments medication reminders and connecting patients with nearby hospitals and pharmacies.,137,"['initial patient assessments', 'determine potential cancer', 'nearby medical facilities.', 'application guidoma check', 'perform initial patient', 'potential cancer risks', 'medical follow-up']",87.77
47,,Civil Assistance System,"Abdulrahman Farag Salem, Nourhan Mohamed Ibrahim Mohamed, Abdullah Mohamedin Ahmed, Ayat Abdulrahman Mohamed, Abdullah Ashraf Mohamed, Amira Abdelhamid Abdelfattah, Ahmed Tamer Suleiman, Amal Mohamed Ahmed, Mohamed El-Sayed Abdel-Monem, Abdullah Mahmoud Abdel-Fattah",2024,"The Civil Assistance System During Emergencies is designed to address the challenges faced by individuals and communities during crises. By integrating wearable devices, AI models, data transmission, and real-time communication systems, the project ensures quick responses in emergency situations. The system provides vital information, monitors health indicators, tracks emergency cases, and offers immediate alerts to enhance safety and support decision-making. It aims to create a more resilient society by providing governmental foundations and civilians with immediate access to safety information, emergency services, and humanitarian aid through a mobile application, wearable device, AI-based heat map, and dashboard.","The Civil Assistance System is a comprehensive, integrated platform designed to bridge the gap between individuals in distress and emergency responders. It utilizes a wearable device for real-time health and location tracking, a mobile application for civilians to report emergencies and receive safety guidance, and a web-based dashboard for administrators and government authorities to manage resources, track incidents, and distribute humanitarian aid effectively.","Traditional emergency response mechanisms are often reactive, relying on manual distress calls, which leads to slow response times, lack of real-time data, and inefficient coordination of humanitarian aid. This leaves individuals vulnerable during natural disasters, medical emergencies, or other crises.","A proactive, integrated system consisting of a wearable device for continuous health and location monitoring, a mobile application for real-time alerts and emergency reporting, and an AI-powered administrative dashboard for efficient resource management and decision-making.","1. Support future scalability and feature expansion.
2. Reduce operational complexity and improve efficiency.
3. Improve overall productivity and workflow optimization.
4. Enhance healthcare efficiency and accessibility.
5. Improve system performance and reliability.
6. Improve patient monitoring and healthcare management.","Civil Assistance System. The Civil Assistance System During Emergencies is designed to address the challenges faced by individuals and communities during crises. By integrating wearable devices, AI models, data transmission, and real-time communication systems, the project ensures quick responses in emergency situations. The system provides vital information, monitors health indicators, tracks emergency cases, and offers immediate alerts to enhance safety and support decision-making. It aims to create a more resilient society by providing governmental foundations and civilians with immediate access to safety information, emergency services, and humanitarian aid through a mobile application, wearable device, AI-based heat map, and dashboard.. The Civil Assistance System is a comprehensive, integrated platform designed to bridge the gap between individuals in distress and emergency responders. It utilizes a wearable device for real-time health and location tracking, a mobile application for civilians to report emergencies and receive safety guidance, and a web-based dashboard for administrators and government authorities to manage resources, track incidents, and distribute humanitarian aid effectively.",civil assistance system. the civil assistance system during emergencies is designed to address the challenges faced by individuals and communities during crises. by integrating wearable devices ai models data transmission and real-time communication systems the project ensures quick responses in emergency situations. the system provides vital information monitors health indicators tracks emergency cases and offers immediate alerts to enhance safety and support decision-making. it aims to create a more resilient society by providing governmental foundations and civilians with immediate access to safety information emergency services and humanitarian aid through a mobile application wearable device ai-based heat map and dashboard.. the civil assistance system is a comprehensive integrated platform designed to bridge the gap between individuals in distress and emergency responders. it utilizes a wearable device for real-time health and location tracking a mobile application for civilians to report emergencies and receive safety guidance and a web-based dashboard for administrators and government authorities to manage resources track incidents and distribute humanitarian aid effectively.,162,"['real-time communication systems', 'integrating wearable devices', 'safety information emergency', 'application wearable device', 'wearable device ai-based', 'models data transmission', 'civil assistance system', 'ensures quick responses', 'project ensures quick']",100.0
48,,Clinical Information System,"Mohaned Mohammed Mohammed Eltoukhy, Abd Alrahman Saeed Saber Mouse",2024,"The Clinic Management System is a comprehensive solution designed to streamline the operations of medical clinics. This system integrates various functionalities essential for efficient clinic management, including patient registration, appointment scheduling, medical record management, billing, and prescription management. The system is intended to be used by doctors, receptionists, administrators, and patients, providing each user with specific capabilities suited to their roles. Doctors can manage patient records, prescriptions, and appointments, while receptionists handle patient check-ins and billing. Administrators have control over user management and report generation. The implementation includes a database schema, use case diagrams, and sequence diagrams to ensure a robust and user-friendly experience.","A computerized system that integrates, collects, stores, and manages information from several sources to support healthcare teams and clinical decision-makers. It provides a centralized platform for all stakeholders to interact seamlessly, automating routine tasks to improve the quality of healthcare services.","Challenges in clinic management include managing patient records, scheduling appointments, handling billing, and maintaining accurate medical histories. Manual processes are time-consuming, error-prone, and inefficient.","A centralized, automated Clinical Information System (CIS) that streamlines clinical workflows, enhances data accuracy, improves communication between stakeholders, and provides a secure, scalable platform for managing clinic operations.","1. Provide accurate and reliable functionality.
2. Improve overall productivity and workflow optimization.
3. Develop a scalable and maintainable solution.
4. Improve patient monitoring and healthcare management.
5. Support future scalability and feature expansion.
6. Improve system performance and reliability.
7. Reduce operational complexity and improve efficiency.
8. Improve workflow and management efficiency.","Clinical Information System. The Clinic Management System is a comprehensive solution designed to streamline the operations of medical clinics. This system integrates various functionalities essential for efficient clinic management, including patient registration, appointment scheduling, medical record management, billing, and prescription management. The system is intended to be used by doctors, receptionists, administrators, and patients, providing each user with specific capabilities suited to their roles. Doctors can manage patient records, prescriptions, and appointments, while receptionists handle patient check-ins and billing. Administrators have control over user management and report generation. The implementation includes a database schema, use case diagrams, and sequence diagrams to ensure a robust and user-friendly experience.. A computerized system that integrates, collects, stores, and manages information from several sources to support healthcare teams and clinical decision-makers. It provides a centralized platform for all stakeholders to interact seamlessly, automating routine tasks to improve the quality of healthcare services.",clinical information system. the clinic management system is a comprehensive solution designed to streamline the operations of medical clinics. this system integrates various functionalities essential for efficient clinic management including patient registration appointment scheduling medical record management billing and prescription management. the system is intended to be used by doctors receptionists administrators and patients providing each user with specific capabilities suited to their roles. doctors can manage patient records prescriptions and appointments while receptionists handle patient check-ins and billing. administrators have control over user management and report generation. the implementation includes a database schema use case diagrams and sequence diagrams to ensure a robust and user-friendly experience.. a computerized system that integrates collects stores and manages information from several sources to support healthcare teams and clinical decision-makers. it provides a centralized platform for all stakeholders to interact seamlessly automating routine tasks to improve the quality of healthcare services.,148,"['comprehensive solution designed', 'appointment scheduling medical', 'management including patient', 'efficient clinic management', 'clinic management including', 'clinical information system', 'medical record management', 'record management billing', 'scheduling medical record', 'clinic management system', 'medical clinics']",74.9
49,,Clothes Fitting Using AI,"Mahmoud Tarek Mohammed, Mahmoud Gamal Ali, Mahmoud Mohammed Amin, Mahmoud Mohammed Soliman, Mahmoud Mostafa Abdul Hamid, Momen Mahmoud Abdel Fattah",2022,"As technology advances, our core processes advance. Many of the things we have today are done in different ways than before. Shopping (online) is one of these processes and is our focus in this project. Mobile apps now enable people to do things (online). Taking things further and going to improve the user experience, making things easier is key. Search users' online shopping trip to try to figure out what problems they're facing and what makes some people commit to doing so offline. Shoppers avoid shopping online because they don't know the right size and don't wear clothes. As their online shopping and ordering are based on these photos provided by the merchant. When products are delivered, they may seem different from those in the e-store, which is a bad thing. So, providing a method that makes this process more efficient is an intuitive urgency. So, in this project we made an application not only for offering clothes but also for size recommendation, and we allow you to try the clothes by using the camera on your mobile through Artificial Intelligence (AI) to see the colors and the style of your clothes.","This project presents a mobile-based application designed to revolutionize the online shopping experience by integrating AI-driven virtual try-on capabilities. The system addresses the gap between digital product representation and physical reality, allowing users to visualize clothing items on themselves in real-time. By combining size recommendation algorithms with augmented reality, the platform enhances consumer confidence and reduces the rate of product returns in e-commerce.","Online shoppers frequently face uncertainty regarding garment fit and appearance, leading to a reliance on physical retail stores. The discrepancy between product photos provided by merchants and the actual delivered items often results in customer dissatisfaction and high return rates.","The project provides a comprehensive mobile application that features an AI-powered virtual fitting room and an automated size recommendation system. By utilizing the user's mobile camera, the application allows customers to visualize how clothes fit, look, and match their style before making a purchase, thereby bridging the gap between online browsing and physical trying-on.","1. Create a mobile-friendly and accessible application.
2. Implement intelligent AI-based functionalities.
3. Improve mobile application usability and performance.
4. Support future scalability and feature expansion.
5. Improve decision-making using artificial intelligence techniques.
6. Implement modern technologies and best practices.","Clothes Fitting Using AI. As technology advances, our core processes advance. Many of the things we have today are done in different ways than before. Shopping (online) is one of these processes and is our focus in this project. Mobile apps now enable people to do things (online). Taking things further and going to improve the user experience, making things easier is key. Search users' online shopping trip to try to figure out what problems they're facing and what makes some people commit to doing so offline. Shoppers avoid shopping online because they don't know the right size and don't wear clothes. As their online shopping and ordering are based on these photos provided by the merchant. When products are delivered, they may seem different from those in the e-store, which is a bad thing. So, providing a method that makes this process more efficient is an intuitive urgency. So, in this project we made an application not only for offering clothes but also for size recommendation, and we allow you to try the clothes by using the camera on your mobile through Artificial Intelligence (AI) to see the colors and the style of your clothes.. This project presents a mobile-based application designed to revolutionize the online shopping experience by integrating AI-driven virtual try-on capabilities. The system addresses the gap between digital product representation and physical reality, allowing users to visualize clothing items on themselves in real-time. By combining size recommendation algorithms with augmented reality, the platform enhances consumer confidence and reduces the rate of product returns in e-commerce.",clothes fitting using ai. as technology advances our core processes advance. many of the things we have today are done in different ways than before. shopping online is one of these processes and is our focus in this project. mobile apps now enable people to do things online . taking things further and going to improve the user experience making things easier is key. search users online shopping trip to try to figure out what problems they re facing and what makes some people commit to doing so offline. shoppers avoid shopping online because they don t know the right size and don t wear clothes. as their online shopping and ordering are based on these photos provided by the merchant. when products are delivered they may seem different from those in the e-store which is a bad thing. so providing a method that makes this process more efficient is an intuitive urgency. so in this project we made an application not only for offering clothes but also for size recommendation and we allow you to try the clothes by using the camera on your mobile through artificial intelligence ai to see the colors and the style of your clothes.. this project presents a mobile-based application designed to revolutionize the online shopping experience by integrating ai-driven virtual try-on capabilities. the system addresses the gap between digital product representation and physical reality allowing users to visualize clothing items on themselves in real-time. by combining size recommendation algorithms with augmented reality the platform enhances consumer confidence and reduces the rate of product returns in e-commerce.,263,"['online shopping experience', 'core processes advance', 'users online shopping', 'avoid shopping online', 'online shopping trip', 'technology advances', 'advances our core', 'clothes fitting']",97.86
50,,College Student Performance Monitoring System,"Ahmed Hany Ahmed Abd El Rahman, Fouad Wed Fouad Ramadan, Wafaa Mohamed Mostafa Mohamed, Yara Khaled Abd El Fattah Abd El Hamed, Sobhy Khairy Sobhy Abd El Aziz, Ezz Eldin Mahmoud Mohamed Ibrahim, Ahmed Wageh Hafez Hamed",2023,"Today, most colleges know how important it is to track and guide their students throughout their journey. This project aims to facilitate the process of monitoring undergraduate students' performance by providing a tool that simplifies tracking and helps students build, improve, and manage their careers. The system allows students to register courses online, view grades, check prerequisites, and receive department recommendations based on a machine learning model that analyzes their academic performance. Additionally, it enables communication between students and professors, and provides faculty with insights into course performance and grade distribution.","The 'University Companion' is a centralized web-based platform designed to bridge the gap between students and faculty. It provides students with dashboards to track their academic progress, register for courses, and receive AI-driven recommendations for their future career paths or department specializations. For faculty, it streamlines administrative tasks by automating data collection and providing analytics on student performance, thereby fostering a more supportive and collaborative learning environment.","Universities face challenges in effectively monitoring student performance and providing timely guidance. Students often struggle with course registration, lack awareness of their academic standing, and feel confused when choosing specializations or career tracks. Furthermore, professors are burdened with administrative tasks, and communication between students and academic advisors is often inconsistent or unavailable.","The project proposes a comprehensive web-based student performance monitoring system. It utilizes a machine learning model to analyze student grades and provide personalized recommendations for departments and career tracks. The platform includes features for online course registration, performance dashboards, event tracking, and a communication portal to facilitate interaction between students and faculty, ensuring students receive the guidance they need throughout their academic journey.","1. Develop a scalable and maintainable solution.
2. Improve system performance and reliability.
3. Improve overall productivity and workflow optimization.
4. Support future scalability and feature expansion.
5. Improve decision-making using artificial intelligence techniques.","College Student Performance Monitoring System. Today, most colleges know how important it is to track and guide their students throughout their journey. This project aims to facilitate the process of monitoring undergraduate students' performance by providing a tool that simplifies tracking and helps students build, improve, and manage their careers. The system allows students to register courses online, view grades, check prerequisites, and receive department recommendations based on a machine learning model that analyzes their academic performance. Additionally, it enables communication between students and professors, and provides faculty with insights into course performance and grade distribution.. The 'University Companion' is a centralized web-based platform designed to bridge the gap between students and faculty. It provides students with dashboards to track their academic progress, register for courses, and receive AI-driven recommendations for their future career paths or department specializations. For faculty, it streamlines administrative tasks by automating data collection and providing analytics on student performance, thereby fostering a more supportive and collaborative learning environment.",college student performance monitoring system. today most colleges know how important it is to track and guide their students throughout their journey. this project aims to facilitate the process of monitoring undergraduate students performance by providing a tool that simplifies tracking and helps students build improve and manage their careers. the system allows students to register courses online view grades check prerequisites and receive department recommendations based on a machine learning model that analyzes their academic performance. additionally it enables communication between students and professors and provides faculty with insights into course performance and grade distribution.. the university companion is a centralized web-based platform designed to bridge the gap between students and faculty. it provides students with dashboards to track their academic progress register for courses and receive ai-driven recommendations for their future career paths or department specializations. for faculty it streamlines administrative tasks by automating data collection and providing analytics on student performance thereby fostering a more supportive and collaborative learning environment.,163,"['undergraduate students performance', 'monitoring undergraduate students', 'student performance monitoring', 'performance monitoring system']",52.61
51,,Colon cancer detection using deep learning,"Youmna Nabil Ahmed, Nour Hashem Ameen, Mohamed Mahmoud Ahmed",2023,"Unprecedented breakthroughs in the development of graphical processing systems have led to great potential for deep learning (DL) algorithms in analyzing visual anatomy from high-resolution medical images. Recently, in digital pathology, the use of DL technologies has drawn a substantial amount of attention for use in the effective diagnosis of various cancer types, especially Colon cancer, which is regarded as one of the dominant causes of cancer-related deaths worldwide. Colon cancer is a type of cancer that begins in the large intestine (colon). The colon is the final part of the digestive tract. Colon cancer typically affects older adults, though it can happen at any age. It usually begins as small, noncancerous (benign) clumps of cells called polyps that form on the inside of the colon. Over time, some of these polyps can become colon cancers. If colon cancer develops, many treatments are available to help control it, including surgery, radiation therapy and drug treatments, such as chemotherapy, targeted therapy and immunotherapy. Colon cancer is sometimes called colorectal cancer, which is a term that combines colon cancer and rectal cancer, which begins in the rectum.","This project develops a web-based system that utilizes a deep learning model, specifically an EfficientNetB2 Convolutional Neural Network, to analyze endoscopic images for the detection of colon cancer. The system aims to assist medical professionals by providing an automated, accurate, and efficient diagnostic tool for identifying various gastrointestinal disorders, including polyps and cancerous growths, using data from wireless capsule endoscopy.","Colon cancer is a leading cause of cancer-related deaths worldwide. Traditional diagnostic methods like colonoscopy can be uncomfortable and invasive, and there is a clinical need for improved, less invasive methods for examining the small bowel and colon, especially for patients with recurrent gastrointestinal issues.","The project proposes a deep learning-based diagnostic system using an EfficientNetB2 CNN architecture. The solution involves a web platform where wireless capsule endoscopy (WCE) images can be uploaded and analyzed by the model to classify the presence of colon cancer, providing a non-invasive and efficient diagnostic aid for clinicians.","1. Develop a responsive and user-friendly web application.
2. Implement intelligent AI-based functionalities.
3. Improve decision-making using artificial intelligence techniques.
4. Support future scalability and feature expansion.
5. Implement modern technologies and best practices.
6. Improve system performance and reliability.
7. Enhance user experience and usability.","Colon cancer detection using deep learning. Unprecedented breakthroughs in the development of graphical processing systems have led to great potential for deep learning (DL) algorithms in analyzing visual anatomy from high-resolution medical images. Recently, in digital pathology, the use of DL technologies has drawn a substantial amount of attention for use in the effective diagnosis of various cancer types, especially Colon cancer, which is regarded as one of the dominant causes of cancer-related deaths worldwide. Colon cancer is a type of cancer that begins in the large intestine (colon). The colon is the final part of the digestive tract. Colon cancer typically affects older adults, though it can happen at any age. It usually begins as small, noncancerous (benign) clumps of cells called polyps that form on the inside of the colon. Over time, some of these polyps can become colon cancers. If colon cancer develops, many treatments are available to help control it, including surgery, radiation therapy and drug treatments, such as chemotherapy, targeted therapy and immunotherapy. Colon cancer is sometimes called colorectal cancer, which is a term that combines colon cancer and rectal cancer, which begins in the rectum.. This project develops a web-based system that utilizes a deep learning model, specifically an EfficientNetB2 Convolutional Neural Network, to analyze endoscopic images for the detection of colon cancer. The system aims to assist medical professionals by providing an automated, accurate, and efficient diagnostic tool for identifying various gastrointestinal disorders, including polyps and cancerous growths, using data from wireless capsule endoscopy.",colon cancer detection using deep learning. unprecedented breakthroughs in the development of graphical processing systems have led to great potential for deep learning dl algorithms in analyzing visual anatomy from high-resolution medical images. recently in digital pathology the use of dl technologies has drawn a substantial amount of attention for use in the effective diagnosis of various cancer types especially colon cancer which is regarded as one of the dominant causes of cancer-related deaths worldwide. colon cancer is a type of cancer that begins in the large intestine colon . the colon is the final part of the digestive tract. colon cancer typically affects older adults though it can happen at any age. it usually begins as small noncancerous benign clumps of cells called polyps that form on the inside of the colon. over time some of these polyps can become colon cancers. if colon cancer develops many treatments are available to help control it including surgery radiation therapy and drug treatments such as chemotherapy targeted therapy and immunotherapy. colon cancer is sometimes called colorectal cancer which is a term that combines colon cancer and rectal cancer which begins in the rectum.. this project develops a web-based system that utilizes a deep learning model specifically an efficientnetb2 convolutional neural network to analyze endoscopic images for the detection of colon cancer. the system aims to assist medical professionals by providing an automated accurate and efficient diagnostic tool for identifying various gastrointestinal disorders including polyps and cancerous growths using data from wireless capsule endoscopy.,252,"['analyzing visual anatomy', 'colon cancer detection', 'colon cancer typically', 'colon cancer develops', 'combines colon cancer', 'deep learning model', 'cancer types']",99.82
52,,Communication platform: sign language interpreter with video confy intergation,"Farah Mostafa, Nour Ashraf, Mohamed Mahmoud, Nour Hassan, Nour Elsayed",2025,"In today's digital age, communication platforms play a pivotal role in connecting individuals worldwide. This project is oriented towards the development ofa pioneering application for the deaf community, with a main focus on enhancing communication strength. The application is specifically designed to prioritize accessibility, incorporating features finely attuned to the distinct requirements of deaf users. These encompass crucial elements such as captions for audio and video content, coupled with robust support for sign language, thereby fostering an environment that promotes inclusive communication. Beyond these foundational features, the application integrates advanced functionalities, including interactive avatar for the deaf community, recognized speech captions, schedules, and notifications, augmenting the overall communicative experience. A notable innovation within the application is the incorporation of an avatar system, strategically engineered to proficiently transform vocal sentences into signs. This distinctive feature not only aligns with the application's inclusive design aspects but also significantly amplifies its communicative competence, facilitating seamless interactions among members of the deaf community. This unique augmentation distinguishes the application by transcending conventional boundaries, rendering communication more fluid and accessible. The primary objective of this project resides in the development of a user-friendly video conferencing pl","Key Features of the Solution: Video Conferencing with Sign Language Interpreters Integration: Our website offers a user- friendly video conferencing interface where deaf and non-deaf individuals can engage in real-time communication. Through the integration of artificial intelligence (AI), specifically machine learning and deep learning models, the platform automatically detects and translates sign language gestures into written text. Real-time Speech-to-Text Conversion: In addition to converting sign language gestures, our platform utilizes AI to convert spoken speech from non-deaf individuals into written text in real-time. This ensures that all verbal communication is accurately transcribed, providing deat individuals with access to spoken conversations. Avatar-based Sign Language Interpretation: To further enhance communication accessibility, our platform employs avatar technology to transform written text into sign language animations, These avatars dynamically interpret the transcribed text into sign language gestures, allowing deat individuals to visually understand the conversation during video chats. Accessibility and Inclusivity: By integrating advanced Al technologies and customizable Teatures, our platform prioritizes accessibility and inclusivity in communication. Dear indviduals can participate fully in video chats with non-deaf individuals, fostering meaningful interactions and breaking down communication barriers.","Users often face difficulties accessing services and obtaining relevant information in a timely and efficient manner. In addition, weak communication channels between key stakeholders lead to delays, misunderstandings, and reduced overall operational efficiency.","In today's digital age, communication platforms play a pivotal role in connecting individuals worldwide. This project is oriented towards the development ofa pioneering application for the deaf community, with a main focus on enhancing communication strength.","1. Provide accurate and reliable functionality.
2. Improve overall productivity and workflow optimization.
3. Enhance user experience and usability.
4. Implement intelligent AI-based functionalities.
5. Improve system performance and reliability.
6. Develop a scalable and maintainable solution.","Communication platform: sign language interpreter with video confy intergation. In today's digital age, communication platforms play a pivotal role in connecting individuals worldwide. This project is oriented towards the development ofa pioneering application for the deaf community, with a main focus on enhancing communication strength. The application is specifically designed to prioritize accessibility, incorporating features finely attuned to the distinct requirements of deaf users. These encompass crucial elements such as captions for audio and video content, coupled with robust support for sign language, thereby fostering an environment that promotes inclusive communication. Beyond these foundational features, the application integrates advanced functionalities, including interactive avatar for the deaf community, recognized speech captions, schedules, and notifications, augmenting the overall communicative experience. A notable innovation within the application is the incorporation of an avatar system, strategically engineered to proficiently transform vocal sentences into signs. This distinctive feature not only aligns with the application's inclusive design aspects but also significantly amplifies its communicative competence, facilitating seamless interactions among members of the deaf community. This unique augmentation distinguishes the application by transcending conventional boundaries, rendering communication more fluid and accessible. The primary objective of this project resides in the development of a user-friendly video conferencing pl. Key Features of the Solution: Video Conferencing with Sign Language Interpreters Integration: Our website offers a user- friendly video conferencing interface where deaf and non-deaf individuals can engage in real-time communication. Through the integration of artificial intelligence (AI), specifically machine learning and deep learning models, the platform automatically detects and translates sign language gestures into written text. Real-time Speech-to-Text Conversion: In addition to converting sign language gestures, our platform utilizes AI to convert spoken speech from non-deaf individuals into written text in real-time. This ensures that all verbal communication is accurately transcribed, providing deat individuals with access to spoken conversations. Avatar-based Sign Language Interpretation: To further enhance communication accessibility, our platform employs avatar technology to transform written text into sign language animations, These avatars dynamically interpret the transcribed text into sign language gestures, allowing deat individuals to visually understand the conversation during video chats. Accessibility and Inclusivity: By integrating advanced Al technologies and customizable Teatures, our platform prioritizes accessibility and inclusivity in communication. Dear indviduals can participate fully in video chats with non-deaf individuals, fostering meaningful interactions and breaking down communication barriers.",communication platform sign language interpreter with video confy intergation. in today s digital age communication platforms play a pivotal role in connecting individuals worldwide. this project is oriented towards the development ofa pioneering application for the deaf community with a main focus on enhancing communication strength. the application is specifically designed to prioritize accessibility incorporating features finely attuned to the distinct requirements of deaf users. these encompass crucial elements such as captions for audio and video content coupled with robust support for sign language thereby fostering an environment that promotes inclusive communication. beyond these foundational features the application integrates advanced functionalities including interactive avatar for the deaf community recognized speech captions schedules and notifications augmenting the overall communicative experience. a notable innovation within the application is the incorporation of an avatar system strategically engineered to proficiently transform vocal sentences into signs. this distinctive feature not only aligns with the application s inclusive design aspects but also significantly amplifies its communicative competence facilitating seamless interactions among members of the deaf community. this unique augmentation distinguishes the application by transcending conventional boundaries rendering communication more fluid and accessible. the primary objective of this project resides in the development of a user-friendly video conferencing pl. key features of the solution video conferencing with sign language interpreters integration our website offers a user- friendly video conferencing interface where deaf and non-deaf individuals can engage in real-time communication. through the integration of artificial intelligence ai specifically machine learning and deep learning models the platform automatically detects and translates sign language gestures into written text. real-time speech-to-text conversion in addition to converting sign language gestures our platform utilizes ai to convert spoken speech from non-deaf individuals into written text in real-time. this ensures that all verbal communication is accurately transcribed providing deat individuals with access to spoken conversations. avatar-based sign language interpretation to further enhance communication accessibility our platform employs avatar technology to transform written text into sign language animations these avatars dynamically interpret the transcribed text into sign language gestures allowing deat individuals to visually understand the conversation during video chats. accessibility and inclusivity by integrating advanced al technologies and customizable teatures our platform prioritizes accessibility and inclusivity in communication. dear indviduals can participate fully in video chats with non-deaf individuals fostering meaningful interactions and breaking down communication barriers.,384,"['sign language interpreters', 'video confy intergation', 'sign language gestures', 'platform sign language', 'non-deaf individuals', 'deaf community', 'written text']",65.21
53,,Communication System for Deaf People,"Mahmoud Salah Mahmoud, Aya Ezz-Elarab, Mostafa Ibrahim Mohamed, Gehad Azab, Roqia Mohamed Sharaf, Mohamed Adel Mohamed",2017,"This project aims to bridge the communication gap for the deaf community by developing an efficient system that translates sign language into spoken language or written text. By utilizing gesture recognition technology, the system interprets hand and body movements to facilitate seamless interaction between deaf individuals and the hearing world, thereby reducing social isolation and improving accessibility.",The project is a communication system designed to interpret sign language gestures in real-time. It leverages computer vision and gesture recognition algorithms to identify and translate non-verbal communication into understandable formats like text or speech. The system is intended to serve as an assistive tool for the deaf and as an educational aid for sign language instructors.,Many deaf individuals face significant communication barriers because the majority of the hearing population does not understand sign language. This leads to social isolation and difficulty in accessing essential services and daily interactions.,"The proposed solution is a computer-based system that uses real-time gesture recognition to translate sign language into speech or text. The system employs imaging and tracking techniques, such as skin color-based hand detection, to interpret gestures and provide a bridge for communication.","1. Provide interactive educational tools and resources.
2. Develop a scalable and maintainable solution.
3. Improve system performance and reliability.
4. Support future scalability and feature expansion.
5. Implement intelligent AI-based functionalities.","Communication System for Deaf People. This project aims to bridge the communication gap for the deaf community by developing an efficient system that translates sign language into spoken language or written text. By utilizing gesture recognition technology, the system interprets hand and body movements to facilitate seamless interaction between deaf individuals and the hearing world, thereby reducing social isolation and improving accessibility.. The project is a communication system designed to interpret sign language gestures in real-time. It leverages computer vision and gesture recognition algorithms to identify and translate non-verbal communication into understandable formats like text or speech. The system is intended to serve as an assistive tool for the deaf and as an educational aid for sign language instructors.",communication system for deaf people. this project aims to bridge the communication gap for the deaf community by developing an efficient system that translates sign language into spoken language or written text. by utilizing gesture recognition technology the system interprets hand and body movements to facilitate seamless interaction between deaf individuals and the hearing world thereby reducing social isolation and improving accessibility.. the project is a communication system designed to interpret sign language gestures in real-time. it leverages computer vision and gesture recognition algorithms to identify and translate non-verbal communication into understandable formats like text or speech. the system is intended to serve as an assistive tool for the deaf and as an educational aid for sign language instructors.,119,"['facilitate seamless interaction', 'gesture recognition technology', 'utilizing gesture recognition', 'communication system designed', 'sign language instructors', 'reducing social isolation', 'translates sign language', 'interpret sign language', 'sign language gestures', 'system interprets hand', 'deaf people']",69.59
54,,Computer Assisted Sperm Analysis System,"Ahmed Mahmoud Mohamed, Ahmed Yousry Abd el Hamed, Alaa Gamal Yousif, Amira Maher Abd el Aliem, Fatma Tayseer Mohamed",2016,"Sperm analysis is an interest to biologists studying sperm function and its role in evaluating male infertility. Today the prevailing method for analyzing human sperm at fertility clinics is both laborious and subjective. The number and quality of sperm are often visually appraised by technicians using a microscope. This project proposes a computer-assisted sperm analysis software to save time and provide accurate results for patient sperm count and tracking. The system uses image processing techniques including frame cropping, noise reduction, and Kalman filtering for object tracking to achieve an average accuracy rate of 28% compared to manual results.","The Computer Assisted Sperm Analysis (CASA) system is a software solution designed to automate the analysis of human sperm samples. By capturing video frames from a microscope, the system processes the imagery to detect, count, and track individual sperm cells. It calculates key motility parameters such as curvilinear velocity (VCL), straight-line velocity (VSL), and linearity of progression (LIN), providing a more objective and efficient alternative to manual microscopic examination.","Manual sperm analysis at fertility clinics is laborious, time-consuming, and subjective, leading to potential human error and fatigue. Technicians often rely on visual appraisal, which lacks the precision required for detailed clinical diagnostics and makes it difficult to accurately measure complex motility parameters.","The project implements a computer-assisted system that digitizes video frames from a microscope. It utilizes digital image processing algorithms to automatically detect and count sperm cells, and applies a Kalman filter to track sperm movement across frames, enabling the calculation of precise kinematic parameters.","1. Provide accurate and reliable functionality.
2. Improve overall productivity and workflow optimization.
3. Implement intelligent AI-based functionalities.
4. Develop a scalable and maintainable solution.
5. Enable real-time monitoring and tracking capabilities.","Computer Assisted Sperm Analysis System. Sperm analysis is an interest to biologists studying sperm function and its role in evaluating male infertility. Today the prevailing method for analyzing human sperm at fertility clinics is both laborious and subjective. The number and quality of sperm are often visually appraised by technicians using a microscope. This project proposes a computer-assisted sperm analysis software to save time and provide accurate results for patient sperm count and tracking. The system uses image processing techniques including frame cropping, noise reduction, and Kalman filtering for object tracking to achieve an average accuracy rate of 28% compared to manual results.. The Computer Assisted Sperm Analysis (CASA) system is a software solution designed to automate the analysis of human sperm samples. By capturing video frames from a microscope, the system processes the imagery to detect, count, and track individual sperm cells. It calculates key motility parameters such as curvilinear velocity (VCL), straight-line velocity (VSL), and linearity of progression (LIN), providing a more objective and efficient alternative to manual microscopic examination.",computer assisted sperm analysis system. sperm analysis is an interest to biologists studying sperm function and its role in evaluating male infertility. today the prevailing method for analyzing human sperm at fertility clinics is both laborious and subjective. the number and quality of sperm are often visually appraised by technicians using a microscope. this project proposes a computer-assisted sperm analysis software to save time and provide accurate results for patient sperm count and tracking. the system uses image processing techniques including frame cropping noise reduction and kalman filtering for object tracking to achieve an average accuracy rate of 28 compared to manual results.. the computer assisted sperm analysis casa system is a software solution designed to automate the analysis of human sperm samples. by capturing video frames from a microscope the system processes the imagery to detect count and track individual sperm cells. it calculates key motility parameters such as curvilinear velocity vcl straight-line velocity vsl and linearity of progression lin providing a more objective and efficient alternative to manual microscopic examination.,172,"['computer-assisted sperm analysis', 'evaluating male infertility', 'biologists studying sperm', 'computer assisted sperm', 'sperm analysis system', 'sperm analysis casa']",100.0
55,,Computer Science Reading Guide,"Zeyad Mohamed Hamdy, Sayed Abdelaziz Sayed, Yousef Said Mohamed, Abdel haleem Mostafa Shabana, Abdel-Rahman Mohamed Abdel-Hamed, Mahmoud Mossad Abdelhamed, Omnia Mohamed Fathy, Sohaila Mohamed Baiomy",2024,"This graduation project introduces an innovative interface for reading computer science books, serving as an efficient alternative to platforms like Google Drive for academic use. Our website provides a seamless reading experience, integrating features to enhance user engagement and learning outcomes. Key functionalities include user account creation, browsing a diverse collection of computer science books with an intuitive interface, creating personalized lists, and accessing book summaries and author information. The reading interface features a multi-functional chatbot with four capabilities: text summarization, an embedded translation tool, a question-answering system, and a generative AI model for enhanced reader engagement and understanding. Additionally, the project includes a comprehensive dashboard for administrators, enabling book management, user control, and visualization of key metrics and statistics through graphs and charts. This project aims to deliver a robust, user-friendly platform for reading and managing computer science literature, fostering a more interactive and supportive learning environment for students and educators alike.","Overall, this project aims to deliver a robust, user-friendly platform for reading and managing computer science literature. By fostering a more interactive and supportive learning environment, it seeks to benefit both students and educators, enhancing the educational experience in the field of computer science.","In the academic field, especially in computer science, students and educators often rely on platforms like Google Drive to store and access textbooks in PDF format. However, these storage solutions lack the specialized features necessary for an effective and engaging reading experience. Students face difficulties such as navigating through long texts, understanding complex material without integrated tools, and managing their reading lists efficiently. The absence of these features can hinder learning outcomes and reduce overall productivity.","Our project introduces an innovative interface specifically designed for reading computer science books, addressing the limitations of traditional storage platforms. By offering a seamless reading experience with numerous integrated features, our website enhances user engagement and learning outcomes. Key functionalities include user account creation, personalized book lists, detailed book summaries, and author information. The reading interface is equipped with a multi-functional chatbot providing text summarization, translation tools, question-answering systems, and a generative AI model to engage readers. Additionally, a comprehensive dashboard allows administrators to manage books and users effectively and visualize key metrics and statistics. This combination of features creates a robust, user-friendly platform that supports an interactive and supportive learning environment for students and educators alike.","1. Reduce operational complexity and improve efficiency.
2. Enhance user experience and usability.
3. Improve overall productivity and workflow optimization.
4. Provide interactive educational tools and resources.
5. Improve learning experience and educational accessibility.","Computer Science Reading Guide. This graduation project introduces an innovative interface for reading computer science books, serving as an efficient alternative to platforms like Google Drive for academic use. Our website provides a seamless reading experience, integrating features to enhance user engagement and learning outcomes. Key functionalities include user account creation, browsing a diverse collection of computer science books with an intuitive interface, creating personalized lists, and accessing book summaries and author information. The reading interface features a multi-functional chatbot with four capabilities: text summarization, an embedded translation tool, a question-answering system, and a generative AI model for enhanced reader engagement and understanding. Additionally, the project includes a comprehensive dashboard for administrators, enabling book management, user control, and visualization of key metrics and statistics through graphs and charts. This project aims to deliver a robust, user-friendly platform for reading and managing computer science literature, fostering a more interactive and supportive learning environment for students and educators alike.. Overall, this project aims to deliver a robust, user-friendly platform for reading and managing computer science literature. By fostering a more interactive and supportive learning environment, it seeks to benefit both students and educators, enhancing the educational experience in the field of computer science.",computer science reading guide. this graduation project introduces an innovative interface for reading computer science books serving as an efficient alternative to platforms like google drive for academic use. our website provides a seamless reading experience integrating features to enhance user engagement and learning outcomes. key functionalities include user account creation browsing a diverse collection of computer science books with an intuitive interface creating personalized lists and accessing book summaries and author information. the reading interface features a multi-functional chatbot with four capabilities text summarization an embedded translation tool a question-answering system and a generative ai model for enhanced reader engagement and understanding. additionally the project includes a comprehensive dashboard for administrators enabling book management user control and visualization of key metrics and statistics through graphs and charts. this project aims to deliver a robust user-friendly platform for reading and managing computer science literature fostering a more interactive and supportive learning environment for students and educators alike.. overall this project aims to deliver a robust user-friendly platform for reading and managing computer science literature. by fostering a more interactive and supportive learning environment it seeks to benefit both students and educators enhancing the educational experience in the field of computer science.,201,"['robust user-friendly platform', 'computer science literature.', 'reading interface features', 'managing computer science', 'reading computer science', 'computer science books', 'science reading guide', 'science books serving']",95.88
56,,Connected Cars of Tomorrow: Investigating OBD-II and V2X Communication Protocols,"Mohamed Ayman, Omar Mesbah, Mostafa Shrief, Shehab Rizk, Mohamed Mahdy, Salma Mohamed, Shahd Hamdy, Aya Ashraf, Shrouq Haney",2024,"The automotive landscape is witnessing a convergence of technologies aimed at enhancing safety, efficiency, and connectivity. On-board Diagnostics (OBD-II) and Vehicle-to-Everything (V2X) communication stand as two key technologies shaping the future of smart cars. This project aims to help individuals diagnose their cars quickly without visiting a service center and provides a wide range of information about the vehicle's status. By applying V2X technologies, cars can send and receive messages to and from their surroundings, such as traffic lights, pedestrians, and other vehicles, allowing users to monitor and control their car's performance effectively.","This project explores the integration of OBD-II and V2X communication protocols to create a smarter, safer, and more efficient driving experience. It involves developing a mobile application and a web interface to provide real-time vehicle diagnostics and facilitate communication between vehicles and infrastructure to improve traffic flow and road safety.","Current transportation systems face critical challenges including traffic congestion, road safety risks, and inefficient traffic flow. Additionally, vehicle owners often lack immediate access to diagnostic information, leading to costly repairs and potential safety hazards.","The project proposes an integrated system using OBD-II for internal vehicle health monitoring and V2X communication for external connectivity. This allows for real-time diagnostic alerts, improved situational awareness, collision avoidance, and optimized traffic management through data exchange with infrastructure and other vehicles.","1. Create a mobile-friendly and accessible application.
2. Improve overall productivity and workflow optimization.
3. Develop a scalable and maintainable solution.
4. Support future scalability and feature expansion.
5. Enhance user experience and usability.
6. Improve decision-making using artificial intelligence techniques.
7. Improve accessibility across different devices and platforms.
8. Implement modern technologies and best practices.","Connected Cars of Tomorrow: Investigating OBD-II and V2X Communication Protocols. The automotive landscape is witnessing a convergence of technologies aimed at enhancing safety, efficiency, and connectivity. On-board Diagnostics (OBD-II) and Vehicle-to-Everything (V2X) communication stand as two key technologies shaping the future of smart cars. This project aims to help individuals diagnose their cars quickly without visiting a service center and provides a wide range of information about the vehicle's status. By applying V2X technologies, cars can send and receive messages to and from their surroundings, such as traffic lights, pedestrians, and other vehicles, allowing users to monitor and control their car's performance effectively.. This project explores the integration of OBD-II and V2X communication protocols to create a smarter, safer, and more efficient driving experience. It involves developing a mobile application and a web interface to provide real-time vehicle diagnostics and facilitate communication between vehicles and infrastructure to improve traffic flow and road safety.",connected cars of tomorrow investigating obd-ii and v2x communication protocols. the automotive landscape is witnessing a convergence of technologies aimed at enhancing safety efficiency and connectivity. on-board diagnostics obd-ii and vehicle-to-everything v2x communication stand as two key technologies shaping the future of smart cars. this project aims to help individuals diagnose their cars quickly without visiting a service center and provides a wide range of information about the vehicle s status. by applying v2x technologies cars can send and receive messages to and from their surroundings such as traffic lights pedestrians and other vehicles allowing users to monitor and control their car s performance effectively.. this project explores the integration of obd-ii and v2x communication protocols to create a smarter safer and more efficient driving experience. it involves developing a mobile application and a web interface to provide real-time vehicle diagnostics and facilitate communication between vehicles and infrastructure to improve traffic flow and road safety.,155,"['tomorrow investigating obd-ii', 'on-board diagnostics obd-ii', 'enhancing safety efficiency', 'efficiency and connectivity', 'key technologies shaping', 'communication protocols', 'technologies aimed', 'technologies cars', 'connected cars']",100.0
57,,Credit Hours System for University Course Registration,"Hossam Sobhy Eid Allam, Ahmed Adel Mohamed Habib, Ibrahim Reyad Ibrahim, Esraa Saeed Mohamed Abid, Alzahraa Emad Abdelfattah",2018,"Registration and enrolling for credit hours courses take a great effort to deal with manually due to the large number of students that register in governmental faculties. It is also known to everyone that documents are not safe because they have serious consequences, including: 1- Loss or damage of documents. 2- The accuracy and completeness of the data. Therefore, the system we offer is secure, data-protected, and easy to use and provides a lot of services such that: 1- The student can register his data through the system rather than filling the application to join the faculty. 2- He / she must attend the available courses according to certain conditions. 3- Modify the enrolled courses chosen after the approval of one of the faculty members. 4- The system enables the student to print his schedule and transcript. 5- If the student leave the faculty, his data is deleted from the system. The academic staff can also record their data and print out their schedule","Education plays an important role in collecting knowledge. University education is a means of innovation. Universities offer greater opportunities for students to innovate anything that is new. Credit hour is the unit by which an institution measures its course work. The number of credit hours assigned to a course quantitatively reflects the outcomes expected, the mode of instruction, the amount of time spent in class, and the amount of outside preparatory work expected for the class. Our system facilitate the work of universities in course registration.","Registration at the local university is currently done by hand Students fill out forms manually. The university decided to get rid of paperwork and get benefit of electronic format. The university decided to investigate the use of an online registration system. This system would be used by professors to indicate the courses they would teach, by students to select courses, and by the registrar to complete the registration process. All undergraduates will need to earn at least 120 SHUs and complete the minimum number of courses as stipulated when they matriculated into their degree program. The system must dividing students into group according to capacity of room. The system must achieve the constraint according to faculty.","The proposed solution is a secure, web-based online registration system designed to replace manual, paper-based processes at the university. The system automates course enrollment, allows for real-time schedule and transcript generation, and enforces academic constraints such as room capacity and degree requirements, while providing distinct interfaces for students, faculty, and registrars.","1. Support future scalability and feature expansion.
2. Provide interactive educational tools and resources.
3. Improve learning experience and educational accessibility.
4. Improve decision-making using artificial intelligence techniques.
5. Improve system performance and reliability.
6. Implement modern technologies and best practices.","Credit Hours System for University Course Registration. Registration and enrolling for credit hours courses take a great effort to deal with manually due to the large number of students that register in governmental faculties. It is also known to everyone that documents are not safe because they have serious consequences, including: 1- Loss or damage of documents. 2- The accuracy and completeness of the data. Therefore, the system we offer is secure, data-protected, and easy to use and provides a lot of services such that: 1- The student can register his data through the system rather than filling the application to join the faculty. 2- He / she must attend the available courses according to certain conditions. 3- Modify the enrolled courses chosen after the approval of one of the faculty members. 4- The system enables the student to print his schedule and transcript. 5- If the student leave the faculty, his data is deleted from the system. The academic staff can also record their data and print out their schedule. Education plays an important role in collecting knowledge. University education is a means of innovation. Universities offer greater opportunities for students to innovate anything that is new. Credit hour is the unit by which an institution measures its course work. The number of credit hours assigned to a course quantitatively reflects the outcomes expected, the mode of instruction, the amount of time spent in class, and the amount of outside preparatory work expected for the class. Our system facilitate the work of universities in course registration.",credit hours system for university course registration. registration and enrolling for credit hours courses take a great effort to deal with manually due to the large number of students that register in governmental faculties. it is also known to everyone that documents are not safe because they have serious consequences including 1- loss or damage of documents. 2- the accuracy and completeness of the data. therefore the system we offer is secure data-protected and easy to use and provides a lot of services such that 1- the student can register his data through the system rather than filling the application to join the faculty. 2- he / she must attend the available courses according to certain conditions. 3- modify the enrolled courses chosen after the approval of one of the faculty members. 4- the system enables the student to print his schedule and transcript. 5- if the student leave the faculty his data is deleted from the system. the academic staff can also record their data and print out their schedule. education plays an important role in collecting knowledge. university education is a means of innovation. universities offer greater opportunities for students to innovate anything that is new. credit hour is the unit by which an institution measures its course work. the number of credit hours assigned to a course quantitatively reflects the outcomes expected the mode of instruction the amount of time spent in class and the amount of outside preparatory work expected for the class. our system facilitate the work of universities in course registration.,257,"['governmental faculties', 'credit hours assigned', 'credit hours system', 'deal with manually', 'effort to deal', 'great effort']",100.0
58,,Data Hiding Techniques By Using Encryption Method,"Amira Abdallah Ahmed, Sara Hamada Mohammed, Hanem Darwish Ibrahim, Heba Mohammed Khalil",2019,"This project presents a robust framework for securing digital images by combining encryption and steganography techniques. By focusing on the BMP file format, the application addresses existing limitations in image security by modifying pixel positions to ensure content protection regardless of image type. The proposed solution enhances security efficiency by implementing a two-step process: initial image encryption followed by steganographic hiding of the encrypted data.","Nowadays, security issue becomes more important especially when it comes to the use of Internet and other networks. Security breaches may affect user's privacy and reputation. Due to this risk, various measurements have already been taken to prevent security breaches in the network. One example that has been made due to this problem is an encryption and hiding. Why encryption: Data encryption is an important way to protect data before it can be transmitted over any networks. Defining Encryption: Encryption is defined as modifying information into a special code, especially in order to prevent unauthorized users to have access to the information. Defining Decryption: Decryption on the other hand is the opposite meaning of encryption.","Protecting some of the images are as important as protecting the textual data and perhaps much more important. Limitations in protecting the images based on their types must be eliminated. In encrypting images, there is a need to protect its content regardless of the types. There are various image encryption algorithms but none of them can work with various image types like, BMP unlike this application. This application has successfully eliminated the limitation problems. The algorithm modified the position of the pixels, which is the manual property of the images. Thus, we use BMP image format can be encrypted using the application as an example. To improve security efficiency, we add Steganography of the encrypted image as a second step.","The project provides a software application that secures BMP images by first modifying the spatial position of pixels to encrypt the content. To further enhance security, the system incorporates a secondary layer of protection by applying steganography to the already encrypted image. This dual-layered approach ensures that the data remains protected and inaccessible to unauthorized users during network transmission.","1. Develop a scalable and maintainable solution.
2. Implement modern technologies and best practices.
3. Provide accurate and reliable functionality.
4. Support future scalability and feature expansion.
5. Improve overall productivity and workflow optimization.","Data Hiding Techniques By Using Encryption Method. This project presents a robust framework for securing digital images by combining encryption and steganography techniques. By focusing on the BMP file format, the application addresses existing limitations in image security by modifying pixel positions to ensure content protection regardless of image type. The proposed solution enhances security efficiency by implementing a two-step process: initial image encryption followed by steganographic hiding of the encrypted data.. Nowadays, security issue becomes more important especially when it comes to the use of Internet and other networks. Security breaches may affect user's privacy and reputation. Due to this risk, various measurements have already been taken to prevent security breaches in the network. One example that has been made due to this problem is an encryption and hiding. Why encryption: Data encryption is an important way to protect data before it can be transmitted over any networks. Defining Encryption: Encryption is defined as modifying information into a special code, especially in order to prevent unauthorized users to have access to the information. Defining Decryption: Decryption on the other hand is the opposite meaning of encryption.",data hiding techniques by using encryption method. this project presents a robust framework for securing digital images by combining encryption and steganography techniques. by focusing on the bmp file format the application addresses existing limitations in image security by modifying pixel positions to ensure content protection regardless of image type. the proposed solution enhances security efficiency by implementing a two-step process initial image encryption followed by steganographic hiding of the encrypted data.. nowadays security issue becomes more important especially when it comes to the use of internet and other networks. security breaches may affect user s privacy and reputation. due to this risk various measurements have already been taken to prevent security breaches in the network. one example that has been made due to this problem is an encryption and hiding. why encryption data encryption is an important way to protect data before it can be transmitted over any networks. defining encryption encryption is defined as modifying information into a special code especially in order to prevent unauthorized users to have access to the information. defining decryption decryption on the other hand is the opposite meaning of encryption.,188,"['application addresses existing', 'addresses existing limitations', 'ensure content protection', 'securing digital images', 'data hiding techniques', 'encryption method', 'security breaches', 'bmp file format', 'image type']",100.0
59,,Daycare management system,"Ahmed Hisham Abdel-Razek, Ahmed Khaled Kamal Atta, Abdelrahman Atef El-sayed, Omar Wafaey Ahmed Abdel-Nasser, Eslam Ahmed Lofty Amer, Ibrahim Sami Ali Afifi, Ahmed Khaled Taha Refai, Amir Reda Mohamed Abu Zeid, Eman Gamal Abdel-Nasser Nofal, Eirene Mamdouh Henry",2024,"The project revolves around the development of an Information System tailored for managing daycare services for children. This system streamlines the application process, interview scheduling, child evaluation, administrative tasks, supervision, and stakeholder communication. The application process involves parents completing a form containing personal details about the child. Subsequently, an evaluator reviews the submitted data and grants initial acceptance if the criteria are met. Parents receive email notifications regarding interview scheduling with an assigned interviewer, responsible for evaluating the child's suitability. Administrators play a crucial role in staff selection, group formation, and event planning within the daycare center. Supervisors oversee attendance, issue notifications, compile weekly reports, and manage meal arrangements. Additionally, they ensure effective communication with parents through designated notification schedules and report mechanisms. Social specialists are tasked with monitoring student behavior, providing guidance, and reporting behavioral concerns to parents. They aim to foster a positive and conducive learning environment for all children. Bus supervisors oversee transportation logistics, including student distribution and coordination with bus monitors. They ensure timely and efficient transportation services, minimizing disruptions for both students and parents. Parents play an active role in the system, inputting data, communicating with daycare staff, and monitoring their child's progress. This collaborative approach enhances daycare management efficiency, promotes effective communication, and ensures the well-being of children under care.","The Daycare Management System is an innovative information platform designed to revolutionize childcare services. It provides a centralized hub for managing enrollment, staff coordination, student behavior monitoring, transportation logistics, and parent-teacher communication. By digitizing manual processes, the system aims to reduce administrative burdens, improve data accuracy, and foster a more transparent and nurturing environment for children.","Current daycare management suffers from fragmented records, inefficient enrollment processes, poor communication between parents and staff, lack of structured behavioral monitoring, and disorganized transportation logistics, leading to reduced service quality and increased parental dissatisfaction.","An integrated web-based information system that automates enrollment, provides a portal for parental engagement and communication, implements a structured behavioral monitoring and intervention module, and optimizes transportation scheduling and bus allocation.","1. Implement intelligent AI-based functionalities.
2. Support future scalability and feature expansion.
3. Improve decision-making using artificial intelligence techniques.
4. Implement modern technologies and best practices.
5. Optimize resource allocation and task management.
6. Improve workflow and management efficiency.
7. Enhance user experience and usability.
8. Reduce operational complexity and improve efficiency.","Daycare management system. The project revolves around the development of an Information System tailored for managing daycare services for children. This system streamlines the application process, interview scheduling, child evaluation, administrative tasks, supervision, and stakeholder communication. The application process involves parents completing a form containing personal details about the child. Subsequently, an evaluator reviews the submitted data and grants initial acceptance if the criteria are met. Parents receive email notifications regarding interview scheduling with an assigned interviewer, responsible for evaluating the child's suitability. Administrators play a crucial role in staff selection, group formation, and event planning within the daycare center. Supervisors oversee attendance, issue notifications, compile weekly reports, and manage meal arrangements. Additionally, they ensure effective communication with parents through designated notification schedules and report mechanisms. Social specialists are tasked with monitoring student behavior, providing guidance, and reporting behavioral concerns to parents. They aim to foster a positive and conducive learning environment for all children. Bus supervisors oversee transportation logistics, including student distribution and coordination with bus monitors. They ensure timely and efficient transportation services, minimizing disruptions for both students and parents. Parents play an active role in the system, inputting data, communicating with daycare staff, and monitoring their child's progress. This collaborative approach enhances daycare management efficiency, promotes effective communication, and ensures the well-being of children under care.. The Daycare Management System is an innovative information platform designed to revolutionize childcare services. It provides a centralized hub for managing enrollment, staff coordination, student behavior monitoring, transportation logistics, and parent-teacher communication. By digitizing manual processes, the system aims to reduce administrative burdens, improve data accuracy, and foster a more transparent and nurturing environment for children.",daycare management system. the project revolves around the development of an information system tailored for managing daycare services for children. this system streamlines the application process interview scheduling child evaluation administrative tasks supervision and stakeholder communication. the application process involves parents completing a form containing personal details about the child. subsequently an evaluator reviews the submitted data and grants initial acceptance if the criteria are met. parents receive email notifications regarding interview scheduling with an assigned interviewer responsible for evaluating the child s suitability. administrators play a crucial role in staff selection group formation and event planning within the daycare center. supervisors oversee attendance issue notifications compile weekly reports and manage meal arrangements. additionally they ensure effective communication with parents through designated notification schedules and report mechanisms. social specialists are tasked with monitoring student behavior providing guidance and reporting behavioral concerns to parents. they aim to foster a positive and conducive learning environment for all children. bus supervisors oversee transportation logistics including student distribution and coordination with bus monitors. they ensure timely and efficient transportation services minimizing disruptions for both students and parents. parents play an active role in the system inputting data communicating with daycare staff and monitoring their child s progress. this collaborative approach enhances daycare management efficiency promotes effective communication and ensures the well-being of children under care.. the daycare management system is an innovative information platform designed to revolutionize childcare services. it provides a centralized hub for managing enrollment staff coordination student behavior monitoring transportation logistics and parent-teacher communication. by digitizing manual processes the system aims to reduce administrative burdens improve data accuracy and foster a more transparent and nurturing environment for children.,277,"['application process interview', 'interview scheduling child', 'daycare management system']",100.0
60,,Deity: Personalized Fitness and Nutrition Mobile Application,"Omar Adel Hassan,
Youssef Mahmoud Fathy,
Ahmed Tamer Khaled,
Ali Hossam Mohamed,
Mazen Sherif Ibrahim",2024,"Deity is a comprehensive mobile application designed to promote and maintain a healthy lifestyle through personalized fitness and nutrition guidance. By leveraging Flutter for cross-platform development and Firebase for robust backend services, the application provides users with tailored workout plans, nutritional advice, and progress monitoring. The system integrates machine learning models to analyze user physical features and preferences, ensuring a highly customized experience that empowers users to achieve their health objectives effectively.","Deity is a cross-platform mobile application built with Flutter that serves as a personal health and fitness companion. It features a modular BLoC architecture to ensure scalability and performance. The app provides users with personalized workout routines, meal planning, activity tracking, and educational resources. It also incorporates machine learning to analyze user data and provide intelligent recommendations, all while maintaining high standards of data security and user privacy.","Users often struggle to maintain a healthy lifestyle due to a lack of personalized guidance, difficulty in tracking progress, and the absence of a supportive environment for accountability and nutritional planning.","A cross-platform mobile application that utilizes machine learning to generate personalized fitness and nutrition plans, provides tools for activity and progress tracking, offers educational content, and fosters a supportive community to keep users motivated.","1. Implement intelligent AI-based functionalities.
2. Enhance user experience and usability.
3. Enable real-time monitoring and tracking capabilities.
4. Support future scalability and feature expansion.
5. Reduce operational complexity and improve efficiency.
6. Improve tracking accuracy and operational visibility.
7. Implement secure authentication and authorization mechanisms.","Deity: Personalized Fitness and Nutrition Mobile Application. Deity is a comprehensive mobile application designed to promote and maintain a healthy lifestyle through personalized fitness and nutrition guidance. By leveraging Flutter for cross-platform development and Firebase for robust backend services, the application provides users with tailored workout plans, nutritional advice, and progress monitoring. The system integrates machine learning models to analyze user physical features and preferences, ensuring a highly customized experience that empowers users to achieve their health objectives effectively.. Deity is a cross-platform mobile application built with Flutter that serves as a personal health and fitness companion. It features a modular BLoC architecture to ensure scalability and performance. The app provides users with personalized workout routines, meal planning, activity tracking, and educational resources. It also incorporates machine learning to analyze user data and provide intelligent recommendations, all while maintaining high standards of data security and user privacy.",deity personalized fitness and nutrition mobile application. deity is a comprehensive mobile application designed to promote and maintain a healthy lifestyle through personalized fitness and nutrition guidance. by leveraging flutter for cross-platform development and firebase for robust backend services the application provides users with tailored workout plans nutritional advice and progress monitoring. the system integrates machine learning models to analyze user physical features and preferences ensuring a highly customized experience that empowers users to achieve their health objectives effectively.. deity is a cross-platform mobile application built with flutter that serves as a personal health and fitness companion. it features a modular bloc architecture to ensure scalability and performance. the app provides users with personalized workout routines meal planning activity tracking and educational resources. it also incorporates machine learning to analyze user data and provide intelligent recommendations all while maintaining high standards of data security and user privacy.,147,"['cross-platform mobile application', 'comprehensive mobile application', 'nutrition mobile application', 'mobile application designed', 'deity personalized fitness', 'fitness and nutrition', 'nutrition guidance.', 'analyze user']",8.22
61,,Detecting Diseases Using Chatbot and Booking Clinic,"Mahmoud Abdelrhim Abdelrhim Saied, Hadeer Gamal Attia Mohamed, Hager Yousef Salah Yousef, Mona Mostafa Abdelaty Hasaneen, Karim Abdelhamid Mohamed, Neama Azazy Foad Kasim, Mostafa Ahmed Said Arafa, Ahmed Magdy Abdelgafar Ahmed",2024,"Project aim to create application that contain clinics for different Doctors from different specialists, online Reservation system, and Location that help patients to find the nearest clinic, and the patient can reserve an appointment across the online reservation and can pay online (credit card or fawry pay) and application can recommend some doctors to users. A Chatbot, user can use it to detect diseases, user ask bot about symptom and reply to bot with disease of this symptom, paragraph of disease, URL to read more about disease and symptom, user can also ask bot about disease and reply with paragraph of symptom, when to see a doctor, paragraph of Causes, paragraph of risk factors, paragraph of diagnosis, paragraph of treatment, URL of disease.","Many people find difficult to search for doctors' clinics that are not far away from them, also some people cannot determine which doctors specializes in their health conditions. So, in this Project, we offer an application for customers to book an appointment in a clinic with doctor easily and can ask chatbot about which doctor can treat him. Application contain a chatbot that has information about diseases and the specialist doctor for each disease. User of application can enter symptoms of the disease that he feels then chatbot take these symptoms and analyze based on dataset, then it displays disease and specialist of doctor which should user visit. After user had knowledge of which doctor should visit, he now wants to book an appointment with a good doctor. Our project contains a list of containing a group of specialities. Each specialty contains a group of most skilled doctors(clinic) in country. Each doctor has a profile user can visit and could book an appointment with any doctor he wants. Application contain location that user can book an appointment with doctor based on nearest location.","overcrowding in medical clinics, which leads to the loss of a lot of time forwaiting for examination in medical clinic., We found that the elderly face difficulty in going to medical clinics and analysis laboratories., Moving of population to new areas leads to difficulty in reaching a medical clinic or doctor. • One of the problems we found that caused us to think seriously about this problem:","Search for Nearby Clinics and Specialists: • Feature: Users can search for doctors' clinics near their location. • Implementation: Utilize geolocation services (such as Google Maps API) to fetch nearby clinics based on the user's current location., Determine Specialists for Specific Health Conditions: • Feature: Users can find doctors who specialize in specific health conditions. • Implementation: Implement a chatbot integrated with a medical dataset that analyzes symptoms entered by the user to recommend specialists for the detected health condition. Use natural language processing (NLP) techniques to understand and analyze user input., Appointment Booking System: • Implementation: Provide a user-friendly interface where users can view profiles of doctors (including their specialties, qualifications, and patient reviews) and book appointments directly through the application. Integrate a calendar system to check doctor availability and manage bookings., Detailed Doctor Profiles: • Feature: Detailed profiles of doctors available for users to review. • Implementation: Each doctor's profile includes details such as specialty, experience, qualifications, clinic address, availability, and patient ratings. Allow users to filter and sort doctors based on various criteria (e.g., proximity, specialty, ratings)., Location-Based Booking: • Feature: Users can book appointments based on nearest clinic locations. • Implementation: Implement location-based search functionality so users can easily find and book appointments at clinics closest to them. Display search results on a map with markers for clinic location. We aimed to help the patient to find the nearest clinic, the patient can reserve an appointment across the online reservation, it can pay within service online and the patient can usethe chatbot till visiting the doctor. • Efficient Appointment Management: Enable patients to book appointments with healthcare professionals or clinics seamlessly. This includes providing a user-friendly interface for scheduling, rescheduling, andcanceling appointments. • Telemedicine Services: Facilitate remote consultations through secure video calls, allowing patients to receive medical advice and treatment remotely. • Patient Information Portal: Offer a secure platform for patients to accesstheir medical records, test results, prescriptions, and other relevant information. • Online Payments and Billing: Provide a secure payment gateway for patients to settle their bills online for consultations, prescriptions, or servicesreceived. • Mobile Responsiveness: Ensure the website is mobile friendly to support users accessing the platform from smartphones or tablets. • Secure Communication Channels: Implement encrypted messaging systems to allow secure communication between patients and healthcareproviders. • Feedback and Reviews: Enable patients to leave reviews and ratings for healthcare services received, aiding others in making informed decisions. • Compliance with Healthcare Regulations: Ensure the website complies with healthcare services received, aiding others in making informed decisions.","1. Reduce operational complexity and improve efficiency.
2. Improve overall productivity and workflow optimization.
3. Improve patient monitoring and healthcare management.
4. Improve system performance and reliability.
5. Enhance user experience and usability.
6. Implement modern technologies and best practices.
7. Develop a scalable and maintainable solution.
8. Support future scalability and feature expansion.","Detecting Diseases Using Chatbot and Booking Clinic. Project aim to create application that contain clinics for different Doctors from different specialists, online Reservation system, and Location that help patients to find the nearest clinic, and the patient can reserve an appointment across the online reservation and can pay online (credit card or fawry pay) and application can recommend some doctors to users. A Chatbot, user can use it to detect diseases, user ask bot about symptom and reply to bot with disease of this symptom, paragraph of disease, URL to read more about disease and symptom, user can also ask bot about disease and reply with paragraph of symptom, when to see a doctor, paragraph of Causes, paragraph of risk factors, paragraph of diagnosis, paragraph of treatment, URL of disease.. Many people find difficult to search for doctors' clinics that are not far away from them, also some people cannot determine which doctors specializes in their health conditions. So, in this Project, we offer an application for customers to book an appointment in a clinic with doctor easily and can ask chatbot about which doctor can treat him. Application contain a chatbot that has information about diseases and the specialist doctor for each disease. User of application can enter symptoms of the disease that he feels then chatbot take these symptoms and analyze based on dataset, then it displays disease and specialist of doctor which should user visit. After user had knowledge of which doctor should visit, he now wants to book an appointment with a good doctor. Our project contains a list of containing a group of specialities. Each specialty contains a group of most skilled doctors(clinic) in country. Each doctor has a profile user can visit and could book an appointment with any doctor he wants. Application contain location that user can book an appointment with doctor based on nearest location.",detecting diseases using chatbot and booking clinic. project aim to create application that contain clinics for different doctors from different specialists online reservation system and location that help patients to find the nearest clinic and the patient can reserve an appointment across the online reservation and can pay online credit card or fawry pay and application can recommend some doctors to users. a chatbot user can use it to detect diseases user ask bot about symptom and reply to bot with disease of this symptom paragraph of disease url to read more about disease and symptom user can also ask bot about disease and reply with paragraph of symptom when to see a doctor paragraph of causes paragraph of risk factors paragraph of diagnosis paragraph of treatment url of disease.. many people find difficult to search for doctors clinics that are not far away from them also some people cannot determine which doctors specializes in their health conditions. so in this project we offer an application for customers to book an appointment in a clinic with doctor easily and can ask chatbot about which doctor can treat him. application contain a chatbot that has information about diseases and the specialist doctor for each disease. user of application can enter symptoms of the disease that he feels then chatbot take these symptoms and analyze based on dataset then it displays disease and specialist of doctor which should user visit. after user had knowledge of which doctor should visit he now wants to book an appointment with a good doctor. our project contains a list of containing a group of specialities. each specialty contains a group of most skilled doctors clinic in country. each doctor has a profile user can visit and could book an appointment with any doctor he wants. application contain location that user can book an appointment with doctor based on nearest location.,314,"['book an appointment', 'online reservation', 'detecting diseases', 'booking clinic']",64.53
62,,Developing a distance learning Content management system,"Ahmed Abdelrazik Abdelsamei, Mohamed Hamed Amer Elfakey, Mohamed Ahmed Waly, Asmaa yehia Abdel Wahab, Amal saad Mahmoud, Mai Salama Zakaria, Heba Aziz Ibrahim, Hana Youssef El sayed",2024,"Traditional learning systems are often expensive, time-consuming, and limited by physical classroom capacity. This project proposes a distance learning content management system to facilitate remote education, allowing instructors and students to interact in a virtual environment. The system aims to improve time management, reduce physical travel, and provide a flexible, accessible platform for learning and resource management.","This project is a comprehensive Content Management System (CMS) specifically designed for distance learning. It provides a centralized platform where instructors can manage course materials and students can access learning resources, search for books in a media library, and engage in a flexible credit-hour study system. The platform is designed to bridge the gap between traditional classroom settings and modern digital learning needs.","Traditional education is hindered by high costs, physical space limitations, and the logistical challenges of requiring students and instructors to be in the same physical location, which is inefficient and time-consuming.","The development of a robust, web-based distance learning content management system that enables virtual classrooms, digital resource management, and flexible, anytime-anywhere access to educational content.","1. Improve decision-making using artificial intelligence techniques.
2. Improve overall productivity and workflow optimization.
3. Improve system performance and reliability.
4. Improve learning experience and educational accessibility.
5. Improve workflow and management efficiency.","Developing a distance learning Content management system. Traditional learning systems are often expensive, time-consuming, and limited by physical classroom capacity. This project proposes a distance learning content management system to facilitate remote education, allowing instructors and students to interact in a virtual environment. The system aims to improve time management, reduce physical travel, and provide a flexible, accessible platform for learning and resource management.. This project is a comprehensive Content Management System (CMS) specifically designed for distance learning. It provides a centralized platform where instructors can manage course materials and students can access learning resources, search for books in a media library, and engage in a flexible credit-hour study system. The platform is designed to bridge the gap between traditional classroom settings and modern digital learning needs.",developing a distance learning content management system. traditional learning systems are often expensive time-consuming and limited by physical classroom capacity. this project proposes a distance learning content management system to facilitate remote education allowing instructors and students to interact in a virtual environment. the system aims to improve time management reduce physical travel and provide a flexible accessible platform for learning and resource management.. this project is a comprehensive content management system cms specifically designed for distance learning. it provides a centralized platform where instructors can manage course materials and students can access learning resources search for books in a media library and engage in a flexible credit-hour study system. the platform is designed to bridge the gap between traditional classroom settings and modern digital learning needs.,127,"['comprehensive content management', 'learning content management', 'management reduce physical', 'distance learning content', 'developing a distance', 'management system cms']",80.14
63,,Developing a web-based search engine,"Ahmed Nabil, Ahmed Salah, Karam Azab, Mohammed Megahed, Mohammed Salman, Salem Salama",2024,"A web search engine is designed to search for information on the World Wide Web. The search results are generally presented in a list of results often referred to as search engine results pages (SERPs). The information may consist of web pages, images, information and other types of files. Some search engines also mine data available in databases or open directories. Unlike web directories, which are maintained only by human editors, search engines also maintain real-time information by running an algorithm on a web crawler. This significance of search engine was the main motivation for our team to try to implement a Search Engine That helps users to find what they search for Easily, Quickly and satisfy their Needs. The implemented search engine ranks results based on term - content relevance.","This project involves the development of a custom web-based search engine. The system is designed to crawl the web, index information, and provide users with relevant search results. Unlike systems that rely heavily on link analysis, this project focuses on content-based ranking to improve the efficiency and relevance of search results for the end-user.","Web search is one of the main and basic activities of almost every computer user. Users are in constant need of a system that helps them reach their targets as fast as possible. Many existing search engines rely on link analysis and global page importance, which may not always be the most efficient method for content-based relevance.",The team developed a web-based search engine that utilizes a web crawler to gather data and implements a ranking algorithm based on term-content relevance to ensure users find information easily and quickly.,"1. Provide efficient data analysis and reporting features.
2. Develop a scalable and maintainable solution.
3. Improve accessibility across different devices and platforms.
4. Enhance user experience and usability.
5. Reduce operational complexity and improve efficiency.
6. Support future scalability and feature expansion.
7. Provide accurate and reliable functionality.
8. Generate accurate analytical insights and visualizations.","Developing a web-based search engine. A web search engine is designed to search for information on the World Wide Web. The search results are generally presented in a list of results often referred to as search engine results pages (SERPs). The information may consist of web pages, images, information and other types of files. Some search engines also mine data available in databases or open directories. Unlike web directories, which are maintained only by human editors, search engines also maintain real-time information by running an algorithm on a web crawler. This significance of search engine was the main motivation for our team to try to implement a Search Engine That helps users to find what they search for Easily, Quickly and satisfy their Needs. The implemented search engine ranks results based on term - content relevance.. This project involves the development of a custom web-based search engine. The system is designed to crawl the web, index information, and provide users with relevant search results. Unlike systems that rely heavily on link analysis, this project focuses on content-based ranking to improve the efficiency and relevance of search results for the end-user.",developing a web-based search engine. a web search engine is designed to search for information on the world wide web. the search results are generally presented in a list of results often referred to as search engine results pages serps . the information may consist of web pages images information and other types of files. some search engines also mine data available in databases or open directories. unlike web directories which are maintained only by human editors search engines also maintain real-time information by running an algorithm on a web crawler. this significance of search engine was the main motivation for our team to try to implement a search engine that helps users to find what they search for easily quickly and satisfy their needs. the implemented search engine ranks results based on term - content relevance.. this project involves the development of a custom web-based search engine. the system is designed to crawl the web index information and provide users with relevant search results. unlike systems that rely heavily on link analysis this project focuses on content-based ranking to improve the efficiency and relevance of search results for the end-user.,191,"['implemented search engine', 'web-based search engine', 'editors search engines', 'search engine results', 'engine results pages', 'search engine ranks', 'web search engine']",100.0
64,,Diagnose Yourself,"Ahmad Mohamed Abdul-Aziz Gouda, Ahmed Abd-Elghani, Ahmed Reda Ahmed, Aml Shabaan Almahdy",2018,"Health is essential for everyone. Health can't be bought by anything. Health is important no matter what country we are from or what race we are, or what age or gender we are. It might have happened so many times that you or someone yours need doctors help immediately, but they are not available due to some reason. The Health Prediction system is an end user support and online consultation project. Here we propose a system that allows users to get instant guidance on their health issues through an intelligent health care system online. The system is fed with various symptoms and the disease/illness associated with those systems. The system allows user to share their symptoms to check for various illness that could be associated with it. Here we use some data mining techniques to guess the most accurate illness that could be associated with patient's symptoms. This system is split into three main parts that comprise of Patient's Registration, Diagnosis and Treatment.","Diagnose Yourself is a web-based medical diagnosis application designed to provide users with instant health guidance. The system allows users to input their symptoms, age, gender, and region to receive a list of the most likely diagnoses. It utilizes data mining and artificial intelligence to analyze user-provided symptoms against a medical database to suggest potential illnesses, helping bridge the gap when professional medical help is not immediately available.","There is a significant shortage of medical experts relative to the patient population (a ratio of 1:600), leading to difficulties in accessing timely medical advice. Additionally, medical errors, improper performance, and failure to recognize complications contribute to poor health outcomes, necessitating a more accessible and intelligent diagnostic support tool.","The project proposes an intelligent, web-based medical diagnosis system that acts as an end-user support tool. By allowing users to input their symptoms, age, gender, and region, the system uses data mining and AI algorithms to process the information and provide a ranked list of the top 10 most likely diagnoses, along with red-flag warnings for severe conditions.","1. Improve decision-making using artificial intelligence techniques.
2. Improve accessibility across different devices and platforms.
3. Improve patient monitoring and healthcare management.
4. Enhance healthcare efficiency and accessibility.
5. Improve system performance and reliability.
6. Implement modern technologies and best practices.
7. Improve overall productivity and workflow optimization.","Diagnose Yourself. Health is essential for everyone. Health can't be bought by anything. Health is important no matter what country we are from or what race we are, or what age or gender we are. It might have happened so many times that you or someone yours need doctors help immediately, but they are not available due to some reason. The Health Prediction system is an end user support and online consultation project. Here we propose a system that allows users to get instant guidance on their health issues through an intelligent health care system online. The system is fed with various symptoms and the disease/illness associated with those systems. The system allows user to share their symptoms to check for various illness that could be associated with it. Here we use some data mining techniques to guess the most accurate illness that could be associated with patient's symptoms. This system is split into three main parts that comprise of Patient's Registration, Diagnosis and Treatment.. Diagnose Yourself is a web-based medical diagnosis application designed to provide users with instant health guidance. The system allows users to input their symptoms, age, gender, and region to receive a list of the most likely diagnoses. It utilizes data mining and artificial intelligence to analyze user-provided symptoms against a medical database to suggest potential illnesses, helping bridge the gap when professional medical help is not immediately available.",diagnose yourself. health is essential for everyone. health can t be bought by anything. health is important no matter what country we are from or what race we are or what age or gender we are. it might have happened so many times that you or someone yours need doctors help immediately but they are not available due to some reason. the health prediction system is an end user support and online consultation project. here we propose a system that allows users to get instant guidance on their health issues through an intelligent health care system online. the system is fed with various symptoms and the disease/illness associated with those systems. the system allows user to share their symptoms to check for various illness that could be associated with it. here we use some data mining techniques to guess the most accurate illness that could be associated with patient s symptoms. this system is split into three main parts that comprise of patient s registration diagnosis and treatment.. diagnose yourself is a web-based medical diagnosis application designed to provide users with instant health guidance. the system allows users to input their symptoms age gender and region to receive a list of the most likely diagnoses. it utilizes data mining and artificial intelligence to analyze user-provided symptoms against a medical database to suggest potential illnesses helping bridge the gap when professional medical help is not immediately available.,236,"['system online', 'data mining']",88.08
65,,Diety,"Mohamed Refky Abd Elaaty Mohamed, Mustafa Mahmoud Sayed Ahmed, Hossam Haytham Ismael Mansour, Mohamed Essam Abdullah Hussein, Mahmoud Mohamed Mahmoud Ahmed, Mohamed Hatem Eid Abdulaziz, Reham Tarek Abdulbaqi",2024,"Diety aims to develop a comprehensive mobile application that empowers users to adopt and maintain healthy lifestyle habits. In today's fast-paced world, individuals often struggle to prioritize their health amidst busy schedules and numerous distractions. This project seeks to address this challenge by providing users with a convenient and user-friendly platform for tracking their fitness progress, accessing personalized workout routines, monitoring their nutrition intake, and connecting with a supportive community of like-minded individuals. The application uses Flutter and machine learning to generate personalized fitness and diet plans based on user physical characteristics and goals, while integrating Google Gemini for interactive health advice.","Diety is a comprehensive mobile application designed to promote fitness and healthy living. It acts as a personal health assistant that accepts user physical features as input and generates tailored fitness and diet plans. The app features calorie management, progress tracking, lifestyle guidance, and an AI-powered virtual assistant for real-time health advice.","Many individuals struggle to maintain a healthy lifestyle due to busy schedules, sedentary habits, and stress, leading to rising rates of obesity and chronic diseases. Existing fitness apps often lack comprehensive features, fail to provide truly personalized guidance, or focus only on one aspect of health (e.g., just nutrition or just exercise) rather than a holistic approach.","The project proposes a user-centric mobile application that integrates AI algorithms to provide personalized workout routines and meal plans. By analyzing user data, the app offers tailored recommendations, tracks progress, and provides interactive support through a virtual assistant to help users achieve their fitness and health objectives effectively.","1. Enhance healthcare efficiency and accessibility.
2. Optimize resource allocation and task management.
3. Reduce operational complexity and improve efficiency.
4. Improve tracking accuracy and operational visibility.
5. Improve system performance and reliability.
6. Enable real-time monitoring and tracking capabilities.
7. Improve prediction accuracy using machine learning models.
8. Enhance user experience and usability.","Diety. Diety aims to develop a comprehensive mobile application that empowers users to adopt and maintain healthy lifestyle habits. In today's fast-paced world, individuals often struggle to prioritize their health amidst busy schedules and numerous distractions. This project seeks to address this challenge by providing users with a convenient and user-friendly platform for tracking their fitness progress, accessing personalized workout routines, monitoring their nutrition intake, and connecting with a supportive community of like-minded individuals. The application uses Flutter and machine learning to generate personalized fitness and diet plans based on user physical characteristics and goals, while integrating Google Gemini for interactive health advice.. Diety is a comprehensive mobile application designed to promote fitness and healthy living. It acts as a personal health assistant that accepts user physical features as input and generates tailored fitness and diet plans. The app features calorie management, progress tracking, lifestyle guidance, and an AI-powered virtual assistant for real-time health advice.",diety. diety aims to develop a comprehensive mobile application that empowers users to adopt and maintain healthy lifestyle habits. in today s fast-paced world individuals often struggle to prioritize their health amidst busy schedules and numerous distractions. this project seeks to address this challenge by providing users with a convenient and user-friendly platform for tracking their fitness progress accessing personalized workout routines monitoring their nutrition intake and connecting with a supportive community of like-minded individuals. the application uses flutter and machine learning to generate personalized fitness and diet plans based on user physical characteristics and goals while integrating google gemini for interactive health advice.. diety is a comprehensive mobile application designed to promote fitness and healthy living. it acts as a personal health assistant that accepts user physical features as input and generates tailored fitness and diet plans. the app features calorie management progress tracking lifestyle guidance and an ai-powered virtual assistant for real-time health advice.,156,"['comprehensive mobile application', 'generate personalized fitness', 'mobile application designed', 'maintain healthy lifestyle', 'healthy lifestyle habits', 'develop a comprehensive', 'fitness and diet', 'user physical', 'diety aims', 'diet plans']",48.93
66,,Digital Services in Real Estate and Buildings,"Ahmed Mostafa Atef Abdel Sallam, Abdel-Fattah El-Sayed Abdel-Fattah, Mahmoud Reda Abdel-Fattah Ebrahim, Elsayed Abdulrahman Elsayed, Mohamed Ezzat Abdel Monsef, Ahmed Jamal Sayed Dessouki",2023,"In general, digital services provide many advantages and benefits in a wide range of industries and sectors, including the public and private sectors, public utilities, buildings and facilities. Digital services help improve communication and interaction between users, devices and systems, improve efficiency and productivity, reduce costs, save time, and increase security and protection. With the development of digital technologies, digital services will remain available and available mainly in all industries and sectors, and the demand for them will continue in the coming years. It is expected that the interest in digital services will increase in the future, which will lead to the development of new technologies and services, and the improvement of the services currently available. Thus, digital services will remain an essential part of our daily lives and the development of industries and sectors in the future. Our system is trying to solve a big problem faced by the state in accomplishing tasks related to the field of real estate and buildings. As the goal of the project is to facilitate services for citizens in the field of real estate and buildings, where the state aims to use information technology to provide the services required for the stages of construction and processing, and through our website, all real estate applications can be made available and submitted to citizens anywhere with the speed and efficiency required.","This project is a web-based information system designed to digitize and streamline government services related to real estate and building management. It allows citizens to perform various tasks online, such as applying for building permits, requesting utility connections (electricity, water, natural gas), submitting reconciliation requests for agricultural lands, and paying utility bills, thereby reducing the need for physical visits to government offices.","Citizens face significant difficulties and delays in completing tasks related to real estate and building construction due to overcrowding in government departments, inefficient manual processes, and the lack of accessible digital alternatives for service requests and utility management.","The development of a centralized web portal that enables citizens to submit applications for building permits, request utility connections, track service progress, update personal data, and make online payments, effectively reducing physical crowding and improving service delivery speed.","1. Develop a responsive and user-friendly web application.
2. Implement secure authentication and authorization mechanisms.
3. Improve overall productivity and workflow optimization.
4. Optimize resource allocation and task management.
5. Enhance user experience and usability.
6. Improve decision-making using artificial intelligence techniques.
7. Develop a scalable and maintainable solution.
8. Improve workflow and management efficiency.","Digital Services in Real Estate and Buildings. In general, digital services provide many advantages and benefits in a wide range of industries and sectors, including the public and private sectors, public utilities, buildings and facilities. Digital services help improve communication and interaction between users, devices and systems, improve efficiency and productivity, reduce costs, save time, and increase security and protection. With the development of digital technologies, digital services will remain available and available mainly in all industries and sectors, and the demand for them will continue in the coming years. It is expected that the interest in digital services will increase in the future, which will lead to the development of new technologies and services, and the improvement of the services currently available. Thus, digital services will remain an essential part of our daily lives and the development of industries and sectors in the future. Our system is trying to solve a big problem faced by the state in accomplishing tasks related to the field of real estate and buildings. As the goal of the project is to facilitate services for citizens in the field of real estate and buildings, where the state aims to use information technology to provide the services required for the stages of construction and processing, and through our website, all real estate applications can be made available and submitted to citizens anywhere with the speed and efficiency required.. This project is a web-based information system designed to digitize and streamline government services related to real estate and building management. It allows citizens to perform various tasks online, such as applying for building permits, requesting utility connections (electricity, water, natural gas), submitting reconciliation requests for agricultural lands, and paying utility bills, thereby reducing the need for physical visits to government offices.",digital services in real estate and buildings. in general digital services provide many advantages and benefits in a wide range of industries and sectors including the public and private sectors public utilities buildings and facilities. digital services help improve communication and interaction between users devices and systems improve efficiency and productivity reduce costs save time and increase security and protection. with the development of digital technologies digital services will remain available and available mainly in all industries and sectors and the demand for them will continue in the coming years. it is expected that the interest in digital services will increase in the future which will lead to the development of new technologies and services and the improvement of the services currently available. thus digital services will remain an essential part of our daily lives and the development of industries and sectors in the future. our system is trying to solve a big problem faced by the state in accomplishing tasks related to the field of real estate and buildings. as the goal of the project is to facilitate services for citizens in the field of real estate and buildings where the state aims to use information technology to provide the services required for the stages of construction and processing and through our website all real estate applications can be made available and submitted to citizens anywhere with the speed and efficiency required.. this project is a web-based information system designed to digitize and streamline government services related to real estate and building management. it allows citizens to perform various tasks online such as applying for building permits requesting utility connections electricity water natural gas submitting reconciliation requests for agricultural lands and paying utility bills thereby reducing the need for physical visits to government offices.,295,"['technologies digital services', 'digital technologies digital', 'public utilities buildings', 'general digital services', 'digital services provide', 'sectors public utilities', 'industries and sectors', 'private sectors public', 'estate and buildings', 'real estate']",100.0
67,,Digital Transformation for Education,"Youssef Mostafa, Karim Ibrahim, Khaled Hassan, Laila Adel, Karim Nasser",2023,"In the era of digital transformation, education has undergone a significant revolution, redefining traditional learning methods. This project aims to contribute to this transformation by leveraging the power of artificial intelligence (A) to enhance various aspects of education. The primary focus lies in the development and implementation of AI features such as essay grading, text summarization, sentiment analysis, and toxic comment classification. The project's core objective is to create an Al-powered essay grading system that automates the grading process, providing students with timely and consistent feedback on their assignments. By employing natural language processing techniques and machine learning algorithms, the system analyses essays for grammar, structure, coherence, and content relevance. This facilitates personalized learning experiences by enabling students to identify their strengths and areas for improvement. Furthermore, the project incorporates text summarization techniques to assist students in extracting crucial information from lengthy texts efficiently. By identifying key concepts and generating concise summaries, students can enhance their comprehension and e ffectively manage information overload. To promote a supportive learning environment, sentiment analysis is integrated, allowing educators to gain insights into students' emnotional states and engagement levels. This valuable information enables targeted support and interventions tailored to indiv","traditional experience, aligning with the goals of digital transformation in providing feedback. The traditional education system faces several challenges that can hinder effective learning and student engagement. One e of the main problems is the lack of personalized feedback and timely assessments. Students often must wait for extended periods to receive feedback on their assignments, which hampers their ability to address areas of improvement promptly. Additionaly, teachers face an enormous workload in manually grading many assignments, leading to delays in Solutions facilitate a more effective, To tackle this problem, our project focuses on implementing an Al-powered essay grading system. By leveraging machine learning algorithms, we aim to automate the grading process and provide timely and consistent feedback to students. This approach ensures that students receive prompt feedback on their assignments, allowing them to identify strengths and weaknesses in their work and make necessary improvements in a timely manner. The Al-powered essay grading system employs natural language processing techniques to analyze various aspects of an essay, such as grammar, structure, coherence, and content relevance. By training the system on a large dataset of pre-graded essays, it learns to recognize patterns and make accurate assessments of new essays. This enables the system to assign grades and provide constructive feedback that aligns with human evaluations. In addition to essay gra","Traditional paper-based processes are time-consuming, inefficient, and highly prone to human errors. In addition, the lack of an integrated digital system makes it difficult to manage operations efficiently, leading to delays, poor organization, and reduced overall productivity.","In the era of digital transformation, education has undergone a significant revolution, redefining traditional learning methods. This project aims to contribute to this transformation by leveraging the power of artificial intelligence (A) to enhance various aspects of education.","1. Implement modern technologies and best practices.
2. Implement intelligent AI-based functionalities.
3. Improve overall productivity and workflow optimization.
4. Improve decision-making using artificial intelligence techniques.
5. Provide efficient data analysis and reporting features.","Digital Transformation for Education. In the era of digital transformation, education has undergone a significant revolution, redefining traditional learning methods. This project aims to contribute to this transformation by leveraging the power of artificial intelligence (A) to enhance various aspects of education. The primary focus lies in the development and implementation of AI features such as essay grading, text summarization, sentiment analysis, and toxic comment classification. The project's core objective is to create an Al-powered essay grading system that automates the grading process, providing students with timely and consistent feedback on their assignments. By employing natural language processing techniques and machine learning algorithms, the system analyses essays for grammar, structure, coherence, and content relevance. This facilitates personalized learning experiences by enabling students to identify their strengths and areas for improvement. Furthermore, the project incorporates text summarization techniques to assist students in extracting crucial information from lengthy texts efficiently. By identifying key concepts and generating concise summaries, students can enhance their comprehension and e ffectively manage information overload. To promote a supportive learning environment, sentiment analysis is integrated, allowing educators to gain insights into students' emnotional states and engagement levels. This valuable information enables targeted support and interventions tailored to indiv. traditional experience, aligning with the goals of digital transformation in providing feedback. The traditional education system faces several challenges that can hinder effective learning and student engagement. One e of the main problems is the lack of personalized feedback and timely assessments. Students often must wait for extended periods to receive feedback on their assignments, which hampers their ability to address areas of improvement promptly. Additionaly, teachers face an enormous workload in manually grading many assignments, leading to delays in Solutions facilitate a more effective, To tackle this problem, our project focuses on implementing an Al-powered essay grading system. By leveraging machine learning algorithms, we aim to automate the grading process and provide timely and consistent feedback to students. This approach ensures that students receive prompt feedback on their assignments, allowing them to identify strengths and weaknesses in their work and make necessary improvements in a timely manner. The Al-powered essay grading system employs natural language processing techniques to analyze various aspects of an essay, such as grammar, structure, coherence, and content relevance. By training the system on a large dataset of pre-graded essays, it learns to recognize patterns and make accurate assessments of new essays. This enables the system to assign grades and provide constructive feedback that aligns with human evaluations. In addition to essay gra",digital transformation for education. in the era of digital transformation education has undergone a significant revolution redefining traditional learning methods. this project aims to contribute to this transformation by leveraging the power of artificial intelligence a to enhance various aspects of education. the primary focus lies in the development and implementation of ai features such as essay grading text summarization sentiment analysis and toxic comment classification. the project s core objective is to create an al-powered essay grading system that automates the grading process providing students with timely and consistent feedback on their assignments. by employing natural language processing techniques and machine learning algorithms the system analyses essays for grammar structure coherence and content relevance. this facilitates personalized learning experiences by enabling students to identify their strengths and areas for improvement. furthermore the project incorporates text summarization techniques to assist students in extracting crucial information from lengthy texts efficiently. by identifying key concepts and generating concise summaries students can enhance their comprehension and e ffectively manage information overload. to promote a supportive learning environment sentiment analysis is integrated allowing educators to gain insights into students emnotional states and engagement levels. this valuable information enables targeted support and interventions tailored to indiv. traditional experience aligning with the goals of digital transformation in providing feedback. the traditional education system faces several challenges that can hinder effective learning and student engagement. one e of the main problems is the lack of personalized feedback and timely assessments. students often must wait for extended periods to receive feedback on their assignments which hampers their ability to address areas of improvement promptly. additionaly teachers face an enormous workload in manually grading many assignments leading to delays in solutions facilitate a more effective to tackle this problem our project focuses on implementing an al-powered essay grading system. by leveraging machine learning algorithms we aim to automate the grading process and provide timely and consistent feedback to students. this approach ensures that students receive prompt feedback on their assignments allowing them to identify strengths and weaknesses in their work and make necessary improvements in a timely manner. the al-powered essay grading system employs natural language processing techniques to analyze various aspects of an essay such as grammar structure coherence and content relevance. by training the system on a large dataset of pre-graded essays it learns to recognize patterns and make accurate assessments of new essays. this enables the system to assign grades and provide constructive feedback that aligns with human evaluations. in addition to essay gra,418,"['digital transformation education', 'al-powered essay grading', 'essay grading system']",26.27
68,,Disabled Assistance System,"Gehad El sayed, Mai Hussein Mohammed, Mai Mohammed Abd Alrahman, Nermeen Magdy Abd Alkareem, Nehal Mohammed Makram, Norhan Mustafa Mohammed",2018,"The aim of this project is to help people with disabilities throughout the world to communicate with other by using technology, and to enjoy using social media, It also purpose of make their life easy by making them feel that no difference between them and ordinary people, and They are not deprived of their presence in social networking sites. In this project we want them to have account in social media, these account make them able to use their voice for adding their friends, writing posts, sending messages by both (text / speech). Project aim is to develop web application that enhances the user's way of speech through correctness of pronunciation following the English phonetics. This software allows one to learn, judge and recognize their potential in English language. It also facilitates an extra add-on feature which nourishes the user's communication skills by using speech to text teqhnic.","The Disabled Assistance System is a specialized web application designed to bridge the digital divide for individuals with physical and visual impairments. By integrating advanced voice-recognition and speech-to-text technologies, the platform enables users to interact with social media, manage accounts, and communicate through voice commands, thereby fostering greater social inclusion and independence.","Traditional input methods such as keyboards and mice require fine motor skills and hand-eye coordination, creating significant barriers for individuals with physical disabilities. Furthermore, visually impaired users face challenges in navigating standard social media interfaces, which often lack sufficient accessibility features to facilitate independent communication and social interaction.","The project provides a comprehensive web-based solution that replaces traditional input methods with voice-driven interaction, allowing users to post, message, and manage social accounts using speech. Additionally, the system incorporates an educational module that utilizes English phonetic analysis to help users improve their pronunciation and communication skills, ensuring a more accessible and empowering digital experience.","1. Improve overall productivity and workflow optimization.
2. Implement modern technologies and best practices.
3. Provide accurate and reliable functionality.
4. Improve system performance and reliability.
5. Enhance user experience and usability.
6. Support future scalability and feature expansion.","Disabled Assistance System. The aim of this project is to help people with disabilities throughout the world to communicate with other by using technology, and to enjoy using social media, It also purpose of make their life easy by making them feel that no difference between them and ordinary people, and They are not deprived of their presence in social networking sites. In this project we want them to have account in social media, these account make them able to use their voice for adding their friends, writing posts, sending messages by both (text / speech). Project aim is to develop web application that enhances the user's way of speech through correctness of pronunciation following the English phonetics. This software allows one to learn, judge and recognize their potential in English language. It also facilitates an extra add-on feature which nourishes the user's communication skills by using speech to text teqhnic.. The Disabled Assistance System is a specialized web application designed to bridge the digital divide for individuals with physical and visual impairments. By integrating advanced voice-recognition and speech-to-text technologies, the platform enables users to interact with social media, manage accounts, and communicate through voice commands, thereby fostering greater social inclusion and independence.",disabled assistance system. the aim of this project is to help people with disabilities throughout the world to communicate with other by using technology and to enjoy using social media it also purpose of make their life easy by making them feel that no difference between them and ordinary people and they are not deprived of their presence in social networking sites. in this project we want them to have account in social media these account make them able to use their voice for adding their friends writing posts sending messages by both text / speech . project aim is to develop web application that enhances the user s way of speech through correctness of pronunciation following the english phonetics. this software allows one to learn judge and recognize their potential in english language. it also facilitates an extra add-on feature which nourishes the user s communication skills by using speech to text teqhnic.. the disabled assistance system is a specialized web application designed to bridge the digital divide for individuals with physical and visual impairments. by integrating advanced voice-recognition and speech-to-text technologies the platform enables users to interact with social media manage accounts and communicate through voice commands thereby fostering greater social inclusion and independence.,206,"['disabled assistance system', 'social networking sites', 'develop web application', 'media manage accounts', 'social media manage', 'ordinary people', 'project aim']",97.81
69,,Doctor 4 U,"Kamal Hasanen Elhemaly, Amr Khaled Mohamed, Mohamed Elbasyouny Mohamed, Amira Reda Abd Elwhab, Nada Yousry Mahmoud, Asmaa Ahmed Khatab",2018,"Doctor 4 U is a comprehensive system designed to simplify the process of finding and booking doctor appointments. By replacing traditional paper-based methods with an electronic platform, the system offers a flexible, safe, and efficient way for users to manage their healthcare appointments from anywhere at any time. The project includes a web interface, an Android application, and an iOS application to ensure accessibility across multiple platforms.","Doctor 4 U is a smart clinic management system that facilitates the interaction between patients and doctors. It provides a digital solution for appointment scheduling, eliminating the need for physical travel to clinics for booking and reducing waiting times. The system is designed to be user-friendly, requiring no special technical skills, and is accessible 24/","The traditional paper-based booking system is inefficient, prone to errors, and leads to long queues. It involves high costs for maintaining physical records, risks of document damage, and significant time and effort spent by patients traveling to clinics just to secure an appointment.","The proposed solution is an integrated electronic clinic management system available via web and mobile platforms (Android and iOS). It allows users to book appointments remotely, digitizes patient records to prevent data loss, and optimizes the scheduling process to save time and reduce operational costs.","1. Improve accessibility across different devices and platforms.
2. Develop a scalable and maintainable solution.
3. Improve system performance and reliability.
4. Improve decision-making using artificial intelligence techniques.
5. Support future scalability and feature expansion.
6. Enhance healthcare efficiency and accessibility.","Doctor 4 U. Doctor 4 U is a comprehensive system designed to simplify the process of finding and booking doctor appointments. By replacing traditional paper-based methods with an electronic platform, the system offers a flexible, safe, and efficient way for users to manage their healthcare appointments from anywhere at any time. The project includes a web interface, an Android application, and an iOS application to ensure accessibility across multiple platforms.. Doctor 4 U is a smart clinic management system that facilitates the interaction between patients and doctors. It provides a digital solution for appointment scheduling, eliminating the need for physical travel to clinics for booking and reducing waiting times. The system is designed to be user-friendly, requiring no special technical skills, and is accessible 24/",doctor 4 u. doctor 4 u is a comprehensive system designed to simplify the process of finding and booking doctor appointments. by replacing traditional paper-based methods with an electronic platform the system offers a flexible safe and efficient way for users to manage their healthcare appointments from anywhere at any time. the project includes a web interface an android application and an ios application to ensure accessibility across multiple platforms.. doctor 4 u is a smart clinic management system that facilitates the interaction between patients and doctors. it provides a digital solution for appointment scheduling eliminating the need for physical travel to clinics for booking and reducing waiting times. the system is designed to be user-friendly requiring no special technical skills and is accessible 24/,125,"['replacing traditional paper-based', 'traditional paper-based methods', 'comprehensive system designed', 'booking doctor appointments.', 'appointments. by replacing', 'manage their healthcare', 'healthcare appointments', 'simplify the process', 'designed to simplify', 'electronic platform', 'process of finding', 'safe and efficient', 'offers a flexible', 'users to manage', 'flexible safe']",95.37
70,,Doctor of plants,"Ahmed Haby Nasser Said, Ahmed Esmat AbdelStar ElAlfy, Ahmed Fawzy AbdelHamid ELAmawy, Ahmed Ali ElDesouky Nada, Ahmed Said Saad AbdelSalam, Mohamed Tarek Amin Ismail Ibrahim, Shawky ElShahat Fathy AbdelWahab, Ahmed Nasser Abdelrazek Elseady",2024,"Our app and website provide a comprehensive solution for plant enthusiasts, addressing the challenges of plant selection, care, and disease detection. With a wide range of plants available for purchase and high-quality fertilizers, users can easily find and nurture their ideal plants. The integration of AI-powered plant disease detection allows for early identification and treatment, ensuring plant health. Furthermore, the chatbot feature offers real-time support and guidance for plant-related inquiries. By combining these features, our platform aims to empower individuals to enjoy the beauty of plants while fostering healthier and more successful gardening experiences.","Doctor of Plants is a comprehensive digital platform consisting of a mobile application and a website designed to assist plant enthusiasts. It serves as a one-stop shop for purchasing plants and fertilizers, while also providing advanced digital tools for plant maintenance. The platform features an AI-driven disease detection system that analyzes photos of plants to identify health issues and suggest treatments, alongside an intelligent chatbot that provides real-time gardening advice and support.","Many individuals face challenges when it comes to finding suitable plants for their living spaces or gardens. Additionally, identifying and addressing plant diseases can be a complex task. There is a lack of access to expert advice and a limited availability of a comprehensive platform that integrates plant purchasing, fertilizers, disease detection, and plant-related information.","The project provides a holistic solution by offering a vast selection of plants categorized by sunlight and water requirements, an e-commerce interface for purchasing, an AI-powered image recognition system for disease diagnosis, and an intelligent chatbot for real-time gardening support and troubleshooting.","1. Improve overall productivity and workflow optimization.
2. Create a mobile-friendly and accessible application.
3. Reduce operational complexity and improve efficiency.
4. Develop a responsive and user-friendly web application.
5. Improve accessibility across different devices and platforms.","Doctor of plants. Our app and website provide a comprehensive solution for plant enthusiasts, addressing the challenges of plant selection, care, and disease detection. With a wide range of plants available for purchase and high-quality fertilizers, users can easily find and nurture their ideal plants. The integration of AI-powered plant disease detection allows for early identification and treatment, ensuring plant health. Furthermore, the chatbot feature offers real-time support and guidance for plant-related inquiries. By combining these features, our platform aims to empower individuals to enjoy the beauty of plants while fostering healthier and more successful gardening experiences.. Doctor of Plants is a comprehensive digital platform consisting of a mobile application and a website designed to assist plant enthusiasts. It serves as a one-stop shop for purchasing plants and fertilizers, while also providing advanced digital tools for plant maintenance. The platform features an AI-driven disease detection system that analyzes photos of plants to identify health issues and suggest treatments, alongside an intelligent chatbot that provides real-time gardening advice and support.",doctor of plants. our app and website provide a comprehensive solution for plant enthusiasts addressing the challenges of plant selection care and disease detection. with a wide range of plants available for purchase and high-quality fertilizers users can easily find and nurture their ideal plants. the integration of ai-powered plant disease detection allows for early identification and treatment ensuring plant health. furthermore the chatbot feature offers real-time support and guidance for plant-related inquiries. by combining these features our platform aims to empower individuals to enjoy the beauty of plants while fostering healthier and more successful gardening experiences.. doctor of plants is a comprehensive digital platform consisting of a mobile application and a website designed to assist plant enthusiasts. it serves as a one-stop shop for purchasing plants and fertilizers while also providing advanced digital tools for plant maintenance. the platform features an ai-driven disease detection system that analyzes photos of plants to identify health issues and suggest treatments alongside an intelligent chatbot that provides real-time gardening advice and support.,169,"['high-quality fertilizers users', 'plant enthusiasts addressing', 'ai-powered plant disease', 'plant disease detection', 'plant selection care', 'disease detection.', 'doctor of plants', 'ideal plants']",98.84
71,,DR/CARE: Medical Application Based on Deep Learning,"Hossam fares alsayed metwally, Hossam medhat sayed Mohamed, Fady Maher Mazhor Barh, Ahmed Emad Mahmoud Abdel Rahman, Aya Almadah Atef Naser, Raneem saleh mohamed abo elmawaheb",2022,"The application Doctor Care is concerned with the medical follow-up of patients, providing advantages such as disease identification via a chatbot, medical image analysis (chest x-rays, heartbeat, skin cancer, brain tumor, retinal OCT), and facilitating doctor-patient communication. It includes medication reminders, hospital location services, and remote health monitoring for patients with irregular vital signs (oxygen ratio, heart rate, temperature) using wearable IoT devices.","DR/CARE is a comprehensive mobile health platform that integrates AI-driven diagnostic models with IoT hardware. The system consists of two main parts: a hardware device that monitors vital signs and uploads data to a database, and a mobile application that provides medical services, including AI-based image classification for various diseases, a medical chatbot, appointment scheduling, and emergency location services.","The project addresses the deterioration of health status in the elderly, the high cost and difficulty of accessing regular medical follow-ups, and the challenges posed by global health crises like COVID-19, which make visiting hospitals for routine check-ups difficult and risky.","The proposed solution is an integrated mobile application and IoT hardware system that allows for remote patient monitoring, AI-assisted medical image diagnosis, and virtual communication with doctors, effectively simulating a doctor's presence for initial diagnosis and continuous health tracking.","1. Integrate IoT technologies for smart automation.
2. Improve overall productivity and workflow optimization.
3. Implement intelligent AI-based functionalities.
4. Provide efficient data analysis and reporting features.
5. Improve mobile application usability and performance.
6. Create a mobile-friendly and accessible application.","DR/CARE: Medical Application Based on Deep Learning. The application Doctor Care is concerned with the medical follow-up of patients, providing advantages such as disease identification via a chatbot, medical image analysis (chest x-rays, heartbeat, skin cancer, brain tumor, retinal OCT), and facilitating doctor-patient communication. It includes medication reminders, hospital location services, and remote health monitoring for patients with irregular vital signs (oxygen ratio, heart rate, temperature) using wearable IoT devices.. DR/CARE is a comprehensive mobile health platform that integrates AI-driven diagnostic models with IoT hardware. The system consists of two main parts: a hardware device that monitors vital signs and uploads data to a database, and a mobile application that provides medical services, including AI-based image classification for various diseases, a medical chatbot, appointment scheduling, and emergency location services.",dr/care medical application based on deep learning. the application doctor care is concerned with the medical follow-up of patients providing advantages such as disease identification via a chatbot medical image analysis chest x-rays heartbeat skin cancer brain tumor retinal oct and facilitating doctor-patient communication. it includes medication reminders hospital location services and remote health monitoring for patients with irregular vital signs oxygen ratio heart rate temperature using wearable iot devices.. dr/care is a comprehensive mobile health platform that integrates ai-driven diagnostic models with iot hardware. the system consists of two main parts a hardware device that monitors vital signs and uploads data to a database and a mobile application that provides medical services including ai-based image classification for various diseases a medical chatbot appointment scheduling and emergency location services.,129,"['facilitating doctor-patient communication', 'patients providing advantages', 'medical application based', 'care medical application', 'application doctor care', 'chest x-rays heartbeat', 'analysis chest x-rays', 'x-rays heartbeat skin', 'heartbeat skin cancer', 'brain tumor retinal', 'cancer brain tumor', 'skin cancer brain', 'deep learning', 'based on deep', 'vital signs']",84.2
73,,Dubbing System for Educational purposes,"Pola Michel William Zaki, Aya Abdallah Ibrahiem Hegazy, Abdallah Abdalnasser Abdallah Abdalnasser, Abdullah Naser Alsayed Elkholy, Soliman Hossam Soliman Mohamed, Abdelrahman Ashraf Abdelsalam Qerba, Ahmed Ashraf Abdelsalam Qerba, Hanan Yasser ebrahim Mohamed Rabia, Dalia Gaber Ahmed Abdel Fattah",2024,"In today's globalized digital landscape, the demand for multilingual content is rapidly increasing. Our project addresses this by developing an advanced automated system for translating and dubbing videos into Arabic. The system follows a streamlined process: extracting audio from videos, converting it to text, translating the text into Arabic, and then converting the translated text back into audio synchronized with the original video. By using cutting-edge tools and models, we ensure high accuracy and quality in voiceover and dubbing, maintaining the content's essence. Additionally, this project aims to democratize knowledge access and create an inclusive learning environment for Arabic speakers by localizing educational videos, documentaries, and online resources into Arabic. This system empowers Arabic-speaking communities to access a wider range of educational content, enhancing educational opportunities, fostering cross-cultural understanding, and promoting linguistic diversity globally.",The project is a comprehensive web-based platform designed to automate the dubbing of English educational videos into Arabic. It focuses on bridging the language gap for students and learners in the Arab world by providing a seamless voice-over service that makes foreign educational resources accessible in their native language.,"There is a significant scarcity of high-quality Arabic educational content, particularly in computer science. Existing materials are primarily in English or Hindi, creating a language barrier that limits learning opportunities. Furthermore, traditional manual dubbing is expensive, time-consuming, and faces technical challenges like lip-syncing, maintaining emotional tone, and ensuring high audio quality.","The project proposes an automated, cost-effective electronic dubbing system that utilizes deep learning models and Natural Language Processing. The solution includes automated audio extraction, speech-to-text, machine translation, and text-to-speech synthesis. It incorporates the WAV2C library for lip synchronization and utilizes noise-reduction models like 'Splitter' by Deezer to ensure professional-grade audio output.","1. Reduce operational complexity and improve efficiency.
2. Support future scalability and feature expansion.
3. Improve system performance and reliability.
4. Develop a responsive and user-friendly web application.
5. Provide interactive educational tools and resources.
6. Enhance user experience and usability.","Dubbing System for Educational purposes. In today's globalized digital landscape, the demand for multilingual content is rapidly increasing. Our project addresses this by developing an advanced automated system for translating and dubbing videos into Arabic. The system follows a streamlined process: extracting audio from videos, converting it to text, translating the text into Arabic, and then converting the translated text back into audio synchronized with the original video. By using cutting-edge tools and models, we ensure high accuracy and quality in voiceover and dubbing, maintaining the content's essence. Additionally, this project aims to democratize knowledge access and create an inclusive learning environment for Arabic speakers by localizing educational videos, documentaries, and online resources into Arabic. This system empowers Arabic-speaking communities to access a wider range of educational content, enhancing educational opportunities, fostering cross-cultural understanding, and promoting linguistic diversity globally.. The project is a comprehensive web-based platform designed to automate the dubbing of English educational videos into Arabic. It focuses on bridging the language gap for students and learners in the Arab world by providing a seamless voice-over service that makes foreign educational resources accessible in their native language.",dubbing system for educational purposes. in today s globalized digital landscape the demand for multilingual content is rapidly increasing. our project addresses this by developing an advanced automated system for translating and dubbing videos into arabic. the system follows a streamlined process extracting audio from videos converting it to text translating the text into arabic and then converting the translated text back into audio synchronized with the original video. by using cutting-edge tools and models we ensure high accuracy and quality in voiceover and dubbing maintaining the content s essence. additionally this project aims to democratize knowledge access and create an inclusive learning environment for arabic speakers by localizing educational videos documentaries and online resources into arabic. this system empowers arabic-speaking communities to access a wider range of educational content enhancing educational opportunities fostering cross-cultural understanding and promoting linguistic diversity globally.. the project is a comprehensive web-based platform designed to automate the dubbing of english educational videos into arabic. it focuses on bridging the language gap for students and learners in the arab world by providing a seamless voice-over service that makes foreign educational resources accessible in their native language.,190,"['globalized digital landscape', 'advanced automated system', 'educational purposes', 'educational videos', 'videos into arabic', 'rapidly increasing', 'today s globalized', 'dubbing system', 'dubbing videos']",99.81
74,,Dynamic Website with Mobile Application,"Essam abd elnapy, Raed saber, Ramy Samer gad, Sameh Gamal, Mahmoud Ismail Mohamed, Mahmoud Mohamed Shabaan, Mohammed Salem Ali",2011,"This project provides a comprehensive dynamic website and a companion mobile application for the Faculty of Computers and Informatics. The system allows faculty members and students to access information, view services, check history, and manage undergraduate data. It also includes an E-learning module for quizzes and grade tracking, ensuring information is accessible anytime and anywhere.","The project is a dual-platform solution consisting of a web portal and a mobile application designed to digitize faculty operations. It serves as a central hub for faculty news, staff information, and student services. The system features user authentication, allowing students to log in to view results, communicate with doctors, and participate in E-learning activities such as taking quizzes and receiving immediate feedback.","The faculty lacked a centralized, accessible digital platform for disseminating information, managing student-faculty communication, and providing remote access to academic services and E-learning resources.","A dynamic, database-driven website integrated with a mobile application to provide a seamless user experience for students and staff, enabling real-time information updates, secure messaging, and interactive E-learning capabilities.","1. Reduce operational complexity and improve efficiency.
2. Develop a responsive and user-friendly web application.
3. Create a mobile-friendly and accessible application.
4. Develop a scalable and maintainable solution.
5. Enable real-time monitoring and tracking capabilities.
6. Improve tracking accuracy and operational visibility.
7. Support future scalability and feature expansion.","Dynamic Website with Mobile Application. This project provides a comprehensive dynamic website and a companion mobile application for the Faculty of Computers and Informatics. The system allows faculty members and students to access information, view services, check history, and manage undergraduate data. It also includes an E-learning module for quizzes and grade tracking, ensuring information is accessible anytime and anywhere.. The project is a dual-platform solution consisting of a web portal and a mobile application designed to digitize faculty operations. It serves as a central hub for faculty news, staff information, and student services. The system features user authentication, allowing students to log in to view results, communicate with doctors, and participate in E-learning activities such as taking quizzes and receiving immediate feedback.",dynamic website with mobile application. this project provides a comprehensive dynamic website and a companion mobile application for the faculty of computers and informatics. the system allows faculty members and students to access information view services check history and manage undergraduate data. it also includes an e-learning module for quizzes and grade tracking ensuring information is accessible anytime and anywhere.. the project is a dual-platform solution consisting of a web portal and a mobile application designed to digitize faculty operations. it serves as a central hub for faculty news staff information and student services. the system features user authentication allowing students to log in to view results communicate with doctors and participate in e-learning activities such as taking quizzes and receiving immediate feedback.,123,"['comprehensive dynamic website', 'companion mobile application', 'mobile application designed', 'computers and informatics', 'information view services', 'access information view', 'website with mobile']",82.54
75,,Early prediction of arrhythmia based on ECG,"Mohamed Essam Lotfy Abdelaziz, Aya Ramadan Fath El Bab Saleh, Doaa Salem Yassin Mohammed, Hasnaa Fawzy Mahmoud Elshazly, Menna Tallah Hassan Ayad Ahmed, Mahmoud Ayman Hamed Mahmoud",2024,"Heart disease remains a leading cause of global mortality, accounting for a significant percentage of deaths worldwide. Early detection of cardiac abnormalities is crucial in preventing the progression of conditions such as atrial fibrillation and Ventricular heart failure, which are often diagnosed in advanced stages. This research aims to contribute to the timely identification of cardiac issues through the use of electrocardiogram (ECG) data. With over 23 million patients globally affected by heart-related ailments, and heart disease being the primary cause of death for 32 percent of 9 million deaths, there is a pressing need for effective predictive measures. The study focuses on interpreting ECG signals to predict arrhythmias, specifically targeting abnormalities like atrial fibrillation and Ventricular heart failure. We used the Internet of Things (IOT) technology, which is a system of interrelated computing devices, machines or objects with unique identifiers and the ability to communicate the data over a network or Internet without requiring human intervention.","The project is a portable, user-friendly IoT-based system designed to detect cardiac abnormalities and predict arrhythmias using machine learning. It aims to provide a dual benefit to medical practitioners and patients by enabling early diagnosis in various settings, such as hospitals, emergency rooms, or sports fields, thereby improving patient outcomes and reducing mortality rates.","There is a critical gap in the early prediction of arrhythmias, as traditional diagnostic approaches often rely on detecting irregularities only after symptoms have manifested, which limits the effectiveness of treatment strategies.","The project proposes an IoT-based system that utilizes machine learning models to analyze ECG signals for the early prediction of arrhythmias. The solution includes a portable, cost-effective device that captures ECG data and a mobile application that provides rapid, accurate results for healthcare professionals.","1. Improve decision-making using artificial intelligence techniques.
2. Improve overall productivity and workflow optimization.
3. Integrate IoT technologies for smart automation.
4. Improve prediction accuracy using machine learning models.
5. Reduce operational complexity and improve efficiency.","Early prediction of arrhythmia based on ECG. Heart disease remains a leading cause of global mortality, accounting for a significant percentage of deaths worldwide. Early detection of cardiac abnormalities is crucial in preventing the progression of conditions such as atrial fibrillation and Ventricular heart failure, which are often diagnosed in advanced stages. This research aims to contribute to the timely identification of cardiac issues through the use of electrocardiogram (ECG) data. With over 23 million patients globally affected by heart-related ailments, and heart disease being the primary cause of death for 32 percent of 9 million deaths, there is a pressing need for effective predictive measures. The study focuses on interpreting ECG signals to predict arrhythmias, specifically targeting abnormalities like atrial fibrillation and Ventricular heart failure. We used the Internet of Things (IOT) technology, which is a system of interrelated computing devices, machines or objects with unique identifiers and the ability to communicate the data over a network or Internet without requiring human intervention.. The project is a portable, user-friendly IoT-based system designed to detect cardiac abnormalities and predict arrhythmias using machine learning. It aims to provide a dual benefit to medical practitioners and patients by enabling early diagnosis in various settings, such as hospitals, emergency rooms, or sports fields, thereby improving patient outcomes and reducing mortality rates.",early prediction of arrhythmia based on ecg. heart disease remains a leading cause of global mortality accounting for a significant percentage of deaths worldwide. early detection of cardiac abnormalities is crucial in preventing the progression of conditions such as atrial fibrillation and ventricular heart failure which are often diagnosed in advanced stages. this research aims to contribute to the timely identification of cardiac issues through the use of electrocardiogram ecg data. with over 23 million patients globally affected by heart-related ailments and heart disease being the primary cause of death for 32 percent of 9 million deaths there is a pressing need for effective predictive measures. the study focuses on interpreting ecg signals to predict arrhythmias specifically targeting abnormalities like atrial fibrillation and ventricular heart failure. we used the internet of things iot technology which is a system of interrelated computing devices machines or objects with unique identifiers and the ability to communicate the data over a network or internet without requiring human intervention.. the project is a portable user-friendly iot-based system designed to detect cardiac abnormalities and predict arrhythmias using machine learning. it aims to provide a dual benefit to medical practitioners and patients by enabling early diagnosis in various settings such as hospitals emergency rooms or sports fields thereby improving patient outcomes and reducing mortality rates.,218,"['fibrillation and ventricular', 'global mortality accounting', 'ventricular heart failure', 'heart disease remains', 'cardiac abnormalities', 'atrial fibrillation', 'predict arrhythmias', 'early prediction', 'arrhythmia based', 'deaths worldwide']",92.64
76,,Earthquake Prediction,"Mohamed Hassan Emam, Mohamed Refaat Bayuomi, Asmaa abd elrzaqe abd elslam mousa, Dina ahmed mohamed ahmed, Ahmed Mosad EL-Sayed, Samy Samir khattab",2018,"Nowadays, a great deal of effort is being devoted to developing techniques to predict natural disasters in order to take precautionary measures. One of the most dangerous nature disasters is Earthquake which occurs unexpectedly in an instant, causing catastrophic damages. The aim of this research is to propose Computational Intelligence (CI) techniques for detecting and alarming for earthquakes based on analysis of historical data and studying of some mathematically computed factors known as seismicity indicators. CI techniques are namely Artificial Neural Network (ANN), least square support vector machine(LS-SVM).","This project focuses on the development of a predictive model for earthquakes using computational intelligence. By analyzing historical seismic data and calculating specific seismicity indicators—such as the Gutenberg-Richter inverse power law parameters and characteristic earthquake distributions—the system aims to forecast the magnitude of the largest seismic event in a given future time window. The project employs advanced machine learning architectures, specifically feed-forward neural networks with Levenberg-Marquardt backpropagation, to handle the complex, non-linear relationships between seismic precursors and earthquake occurrences.","Earthquakes occur unexpectedly and cause catastrophic damage, yet there is no established mathematical or empirical relationship between seismic indicators and the location or magnitude of succeeding earthquakes, making medium-term and short-term prediction a significant challenge.","The project proposes using Computational Intelligence (CI) techniques, specifically Artificial Neural Networks (ANN) and Least Square Support Vector Machines (LS-SVM), to analyze eight distinct seismicity indicators. These indicators are fed into a feed-forward Levenberg-Marquardt backpropagation neural network to model and predict earthquake magnitudes.","1. Improve decision-making using artificial intelligence techniques.
2. Provide accurate and reliable functionality.
3. Support future scalability and feature expansion.
4. Provide efficient data analysis and reporting features.
5. Improve system performance and reliability.
6. Enhance user experience and usability.
7. Improve prediction accuracy using machine learning models.","Earthquake Prediction. Nowadays, a great deal of effort is being devoted to developing techniques to predict natural disasters in order to take precautionary measures. One of the most dangerous nature disasters is Earthquake which occurs unexpectedly in an instant, causing catastrophic damages. The aim of this research is to propose Computational Intelligence (CI) techniques for detecting and alarming for earthquakes based on analysis of historical data and studying of some mathematically computed factors known as seismicity indicators. CI techniques are namely Artificial Neural Network (ANN), least square support vector machine(LS-SVM).. This project focuses on the development of a predictive model for earthquakes using computational intelligence. By analyzing historical seismic data and calculating specific seismicity indicators—such as the Gutenberg-Richter inverse power law parameters and characteristic earthquake distributions—the system aims to forecast the magnitude of the largest seismic event in a given future time window. The project employs advanced machine learning architectures, specifically feed-forward neural networks with Levenberg-Marquardt backpropagation, to handle the complex, non-linear relationships between seismic precursors and earthquake occurrences.",earthquake prediction. nowadays a great deal of effort is being devoted to developing techniques to predict natural disasters in order to take precautionary measures. one of the most dangerous nature disasters is earthquake which occurs unexpectedly in an instant causing catastrophic damages. the aim of this research is to propose computational intelligence ci techniques for detecting and alarming for earthquakes based on analysis of historical data and studying of some mathematically computed factors known as seismicity indicators. ci techniques are namely artificial neural network ann least square support vector machine ls-svm .. this project focuses on the development of a predictive model for earthquakes using computational intelligence. by analyzing historical seismic data and calculating specific seismicity indicators such as the gutenberg-richter inverse power law parameters and characteristic earthquake distributions the system aims to forecast the magnitude of the largest seismic event in a given future time window. the project employs advanced machine learning architectures specifically feed-forward neural networks with levenberg-marquardt backpropagation to handle the complex non-linear relationships between seismic precursors and earthquake occurrences.,173,"['dangerous nature disasters', 'predict natural disasters', 'precautionary measures', 'earthquake prediction', 'seismicity indicators', 'developing techniques', 'devoted to developing', 'nowadays a great', 'deal of effort', 'great deal']",100.0
77,,E-commerce online shopping,"Abdallah samir elsayed, Abdallah adel abdallah, Ahmed barakat Mohamed, Naglaa saad Mohamed, Hend hamdy",2018,"Online shopping or Ecommerce became very common nowadays. And with tremendous increase in mobiles and tablets, shopping on mobile is getting more popular each day. Customers have started expecting their retailers to have a mobile presence. From this point, our team developed an ecommerce mobile application for which this document has been prepared. The proposed system is an android application that acts as an intermediary between customer and vendor. The vendors add the products to the system freely, then customer purchase these added products with cache on delivery payment. The proposed system satisfies basic functions of an ecommerce application such as registration, shopping cart, product management, order management and other functions. So improving services provided to application users is a must. To achieve that, we followed two approaches which are optimizing customer services approach and vendor services approach. Mining algorithms. By using data mining, various recommendation algorithms are developed upon customer behavior and customers' orders. Not only that, but a dynamic shipment cost algorithm is developed to calculate cost of shipment dynamically. Vendor provided services improved by providing visualization reports about interactivity and sales of percentage of products. The sales of percentage reports are about product, branches, and competitors. Also, vendor can advertise an added product and pay for the advertisement. The vendor also can use the Google maps to help him/her to deliver requested orders easily. The good thing is that map could be used also by customer to ease reaching to vendor branch if customer decided to get requested orders rather than shipping by vendor.","The project is an Android-based e-commerce platform that acts as a broker between customers and vendors. It provides a comprehensive suite of features including user registration, product browsing, shopping cart management, and order processing. Beyond standard e-commerce functionality, the system integrates advanced data mining algorithms to provide personalized product recommendations and dynamic shipment cost calculations. It also offers vendors analytical tools for sales visualization and advertising capabilities, alongside Google Maps integration for efficient order delivery and branch location.","With the continuous increase in ecommerce applications, competition among them has increased. Therefore, each one seeks to attract more customers or even to conserve and retain customers rather than seeking to expand its market by improving customer services. Companies found themselves have huge amount of data like transactions and browsing history of customers so the need to make use of this huge amount of data sets to improve customer services too. All these requirements have introduced the extraction of knowledge and discover patterns from data in ecommerce applications, using data mining techniques.","The proposed solution is an Android application that implements data mining algorithms to optimize customer and vendor services. It uses recommendation algorithms based on customer behavior and order history to suggest products. It also features a dynamic shipment cost calculator, visualization reports for vendors to track sales and competitor performance, and Google Maps integration to facilitate order delivery and store location.","1. Improve workflow and management efficiency.
2. Implement intelligent AI-based functionalities.
3. Support future scalability and feature expansion.
4. Reduce operational complexity and improve efficiency.
5. Improve mobile application usability and performance.
6. Improve decision-making using artificial intelligence techniques.
7. Provide accurate and reliable functionality.","E-commerce online shopping. Online shopping or Ecommerce became very common nowadays. And with tremendous increase in mobiles and tablets, shopping on mobile is getting more popular each day. Customers have started expecting their retailers to have a mobile presence. From this point, our team developed an ecommerce mobile application for which this document has been prepared. The proposed system is an android application that acts as an intermediary between customer and vendor. The vendors add the products to the system freely, then customer purchase these added products with cache on delivery payment. The proposed system satisfies basic functions of an ecommerce application such as registration, shopping cart, product management, order management and other functions. So improving services provided to application users is a must. To achieve that, we followed two approaches which are optimizing customer services approach and vendor services approach. Mining algorithms. By using data mining, various recommendation algorithms are developed upon customer behavior and customers' orders. Not only that, but a dynamic shipment cost algorithm is developed to calculate cost of shipment dynamically. Vendor provided services improved by providing visualization reports about interactivity and sales of percentage of products. The sales of percentage reports are about product, branches, and competitors. Also, vendor can advertise an added product and pay for the advertisement. The vendor also can use the Google maps to help him/her to deliver requested orders easily. The good thing is that map could be used also by customer to ease reaching to vendor branch if customer decided to get requested orders rather than shipping by vendor.. The project is an Android-based e-commerce platform that acts as a broker between customers and vendors. It provides a comprehensive suite of features including user registration, product browsing, shopping cart management, and order processing. Beyond standard e-commerce functionality, the system integrates advanced data mining algorithms to provide personalized product recommendations and dynamic shipment cost calculations. It also offers vendors analytical tools for sales visualization and advertising capabilities, alongside Google Maps integration for efficient order delivery and branch location.",e-commerce online shopping. online shopping or ecommerce became very common nowadays. and with tremendous increase in mobiles and tablets shopping on mobile is getting more popular each day. customers have started expecting their retailers to have a mobile presence. from this point our team developed an ecommerce mobile application for which this document has been prepared. the proposed system is an android application that acts as an intermediary between customer and vendor. the vendors add the products to the system freely then customer purchase these added products with cache on delivery payment. the proposed system satisfies basic functions of an ecommerce application such as registration shopping cart product management order management and other functions. so improving services provided to application users is a must. to achieve that we followed two approaches which are optimizing customer services approach and vendor services approach. mining algorithms. by using data mining various recommendation algorithms are developed upon customer behavior and customers orders. not only that but a dynamic shipment cost algorithm is developed to calculate cost of shipment dynamically. vendor provided services improved by providing visualization reports about interactivity and sales of percentage of products. the sales of percentage reports are about product branches and competitors. also vendor can advertise an added product and pay for the advertisement. the vendor also can use the google maps to help him/her to deliver requested orders easily. the good thing is that map could be used also by customer to ease reaching to vendor branch if customer decided to get requested orders rather than shipping by vendor.. the project is an android-based e-commerce platform that acts as a broker between customers and vendors. it provides a comprehensive suite of features including user registration product browsing shopping cart management and order processing. beyond standard e-commerce functionality the system integrates advanced data mining algorithms to provide personalized product recommendations and dynamic shipment cost calculations. it also offers vendors analytical tools for sales visualization and advertising capabilities alongside google maps integration for efficient order delivery and branch location.,338,"['ecommerce mobile application', 'e-commerce online shopping', 'proposed system']",77.34
78,,E-commerce with image search,"Abdallah Mohamed Fathy Dagher, Ahmed Abdelaziz Atiah Abdelaziz, Safaa Hamdy Ibrahim Khalil, Ahmed Adel Abdelmonem Elzamar",2020,"The project ""E-commerce with image search"" aims to address the significant challenge of product quality assurance in online purchasing. By integrating advanced image search capabilities into an e-commerce platform, this project seeks to empower users with tools to visually verify product details, compare items, and gain greater confidence in their purchasing decisions. This approach intends to mitigate the prevalent issue of lacking assurance regarding product quality, thereby enhancing the overall user experience and reliability of online shopping.","the convenience, safety, and user experience of e-commerce have improved exponentially since its inception. This article will address some of the key players and milestones of e-commerce.","One of the most significant challenges in online shopping is the uncertainty regarding product quality. Customers are often unable to physically inspect products before purchasing, which may lead to receiving items that do not meet expectations or match the advertised specifications. This issue reduces customer trust and satisfaction with online shopping platforms.","The proposed solution involves developing an e-commerce platform that incorporates a robust image search engine. This engine will allow users to upload images of desired products or product features to find matching items, compare visual attributes, and potentially access user-generated content or reviews that include images. By providing visual verification tools, the system aims to directly tackle the problem of insufficient product quality assurance, enabling consumers to make more informed and confident purchasing decisions.","1. Improve system performance and reliability.
2. Provide accurate and reliable functionality.
3. Improve overall productivity and workflow optimization.
4. Enhance user experience and usability.
5. Support future scalability and feature expansion.
6. Develop a scalable and maintainable solution.","E-commerce with image search. The project ""E-commerce with image search"" aims to address the significant challenge of product quality assurance in online purchasing. By integrating advanced image search capabilities into an e-commerce platform, this project seeks to empower users with tools to visually verify product details, compare items, and gain greater confidence in their purchasing decisions. This approach intends to mitigate the prevalent issue of lacking assurance regarding product quality, thereby enhancing the overall user experience and reliability of online shopping.. the convenience, safety, and user experience of e-commerce have improved exponentially since its inception. This article will address some of the key players and milestones of e-commerce.",e-commerce with image search. the project e-commerce with image search aims to address the significant challenge of product quality assurance in online purchasing. by integrating advanced image search capabilities into an e-commerce platform this project seeks to empower users with tools to visually verify product details compare items and gain greater confidence in their purchasing decisions. this approach intends to mitigate the prevalent issue of lacking assurance regarding product quality thereby enhancing the overall user experience and reliability of online shopping.. the convenience safety and user experience of e-commerce have improved exponentially since its inception. this article will address some of the key players and milestones of e-commerce.,108,"['integrating advanced image', 'image search capabilities', 'product quality assurance', 'visually verify product', 'product details compare', 'verify product details', 'e-commerce with image', 'details compare items', 'image search aims', 'user experience']",100.0
79,,Edu Focus,"Amr Sayed Sadek Abdelrahman, Belal Wael Badaway Mansy, Omar Khaled Ebada, Dina Emad Gomaa temer, Marian Maher Malak Shweal, Hagar Sherif Ibrahim, Fatma Hagag Abdelmomen",2025,"The EduFocus system is an AI-powered educational platform designed to enhance virtual learning experiences by integrating facial expression analysis and personalized learning recommendations. With the increasing adoption of online education, maintaining student engagement has become a significant challenge. EduFocus aims to bridge this gap by utilizing AI-driven techniques to assess student concentration levels during live sessions and provide real-time feedback to instructors. The system incorporates various features, including real-time video conferencing, automated learning recommendations, questionnaire-based feedback collection, and performance tracking. If a large number of students exhibit low engagement, the system recommends instructors to send quizzes to evaluate focus levels. The platform supports multiple user roles, such as instructors, students, and administrators, ensuring seamless interaction and data-driven decision-making.","EduFocus is an intelligent online education platform that monitors student engagement in real-time during virtual classes. By leveraging AI-powered facial expression analysis and pose estimation, the system detects when students are distracted and provides instructors with actionable insights. It includes a dashboard for instructors to view engagement reports and tools to trigger interactive content or quizzes to re-engage students, thereby improving overall learning outcomes.","Traditional online learning platforms lack integrated mechanisms to measure and maintain student engagement in real-time. Instructors struggle to assess student attentiveness during virtual lectures, which leads to lower participation and ineffective knowledge retention.","The project proposes an AI-powered platform that integrates WebRTC for video conferencing and uses the YOLO model and pose estimation to analyze students' facial expressions. The system automatically detects disengagement and prompts instructors to intervene with interactive content, ensuring students remain focused.","1. Improve tracking accuracy and operational visibility.
2. Provide accurate and reliable functionality.
3. Generate accurate analytical insights and visualizations.
4. Improve system performance and reliability.
5. Improve decision-making using artificial intelligence techniques.
6. Enable real-time monitoring and tracking capabilities.
7. Implement intelligent AI-based functionalities.
8. Develop a scalable and maintainable solution.","Edu Focus. The EduFocus system is an AI-powered educational platform designed to enhance virtual learning experiences by integrating facial expression analysis and personalized learning recommendations. With the increasing adoption of online education, maintaining student engagement has become a significant challenge. EduFocus aims to bridge this gap by utilizing AI-driven techniques to assess student concentration levels during live sessions and provide real-time feedback to instructors. The system incorporates various features, including real-time video conferencing, automated learning recommendations, questionnaire-based feedback collection, and performance tracking. If a large number of students exhibit low engagement, the system recommends instructors to send quizzes to evaluate focus levels. The platform supports multiple user roles, such as instructors, students, and administrators, ensuring seamless interaction and data-driven decision-making.. EduFocus is an intelligent online education platform that monitors student engagement in real-time during virtual classes. By leveraging AI-powered facial expression analysis and pose estimation, the system detects when students are distracted and provides instructors with actionable insights. It includes a dashboard for instructors to view engagement reports and tools to trigger interactive content or quizzes to re-engage students, thereby improving overall learning outcomes.",edu focus. the edufocus system is an ai-powered educational platform designed to enhance virtual learning experiences by integrating facial expression analysis and personalized learning recommendations. with the increasing adoption of online education maintaining student engagement has become a significant challenge. edufocus aims to bridge this gap by utilizing ai-driven techniques to assess student concentration levels during live sessions and provide real-time feedback to instructors. the system incorporates various features including real-time video conferencing automated learning recommendations questionnaire-based feedback collection and performance tracking. if a large number of students exhibit low engagement the system recommends instructors to send quizzes to evaluate focus levels. the platform supports multiple user roles such as instructors students and administrators ensuring seamless interaction and data-driven decision-making.. edufocus is an intelligent online education platform that monitors student engagement in real-time during virtual classes. by leveraging ai-powered facial expression analysis and pose estimation the system detects when students are distracted and provides instructors with actionable insights. it includes a dashboard for instructors to view engagement reports and tools to trigger interactive content or quizzes to re-engage students thereby improving overall learning outcomes.,184,"['personalized learning recommendations.', 'integrating facial expression', 'online education maintaining', 'facial expression analysis', 'student engagement']",96.89
80,,E-learning System with Automated Arabic Essay Questions Grading,"Abdulwahab Mohammed Ahmed, Abdullah Mohammed Abd El-Moamen, Abdullah Hassan Hussein, Sara Atef Ibrahim, Zeinab Yasser Mohammed, Rowayda Adel Elsayed, Doaa Ali Elsayed",2019,"Automatic grading for exams is very essential with the increasing number of students and the increasing need for saving the time and effort of human graders. While there are some kinds of questions that can be easily graded by the machine (such as multiple-choice questions MCQ), essay questions are still very difficult for the machine to grade because they require high level of natural language understanding. In order to tackle this problem, we have to find a way to make the machine able to predict the semantic similarity between the student answer and the model answer, and assign the marks based on this similarity. This can be done by using the power of machine learning and natural language processing. In this project we propose a hybrid model that can estimate the semantic similarity between two pieces of text. The hybrid model is based on character-based n-gram similarity, word embeddings, Manhattan LSTM, and support vector regression. We also test other models based on WordNet and Latent Semantic Analysis. Our model achieves comparable results on both STS Benchmark dataset and SemEval-2017 Task 1 dataset for semantic textual similarity evaluation. Finally, we integrate this model into a complete e-learning system including a website and an android app.","This project develops a comprehensive e-learning platform that incorporates an automated grading system for Arabic essay questions. By utilizing advanced machine learning and NLP techniques, the system evaluates the semantic similarity between student responses and model answers, providing instant feedback and reducing the burden on human instructors.","Short essay questions are difficult for machines to grade because they require natural language understanding. Current systems rely on keyword matching, which is unfair to students who express correct answers using different vocabulary, and there is a lack of reliable automated grading systems specifically for the Arabic language.","A hybrid machine learning model that estimates semantic similarity between student answers and model answers using character-based n-grams, word embeddings, Manhattan LSTM, and support vector regression, integrated into a web and Android-based e-learning platform.","1. Reduce operational complexity and improve efficiency.
2. Enhance user experience and usability.
3. Provide accurate and reliable functionality.
4. Support future scalability and feature expansion.
5. Improve prediction accuracy using machine learning models.
6. Generate accurate analytical insights and visualizations.
7. Improve overall productivity and workflow optimization.","E-learning System with Automated Arabic Essay Questions Grading. Automatic grading for exams is very essential with the increasing number of students and the increasing need for saving the time and effort of human graders. While there are some kinds of questions that can be easily graded by the machine (such as multiple-choice questions MCQ), essay questions are still very difficult for the machine to grade because they require high level of natural language understanding. In order to tackle this problem, we have to find a way to make the machine able to predict the semantic similarity between the student answer and the model answer, and assign the marks based on this similarity. This can be done by using the power of machine learning and natural language processing. In this project we propose a hybrid model that can estimate the semantic similarity between two pieces of text. The hybrid model is based on character-based n-gram similarity, word embeddings, Manhattan LSTM, and support vector regression. We also test other models based on WordNet and Latent Semantic Analysis. Our model achieves comparable results on both STS Benchmark dataset and SemEval-2017 Task 1 dataset for semantic textual similarity evaluation. Finally, we integrate this model into a complete e-learning system including a website and an android app.. This project develops a comprehensive e-learning platform that incorporates an automated grading system for Arabic essay questions. By utilizing advanced machine learning and NLP techniques, the system evaluates the semantic similarity between student responses and model answers, providing instant feedback and reducing the burden on human instructors.",e-learning system with automated arabic essay questions grading. automatic grading for exams is very essential with the increasing number of students and the increasing need for saving the time and effort of human graders. while there are some kinds of questions that can be easily graded by the machine such as multiple-choice questions mcq essay questions are still very difficult for the machine to grade because they require high level of natural language understanding. in order to tackle this problem we have to find a way to make the machine able to predict the semantic similarity between the student answer and the model answer and assign the marks based on this similarity. this can be done by using the power of machine learning and natural language processing. in this project we propose a hybrid model that can estimate the semantic similarity between two pieces of text. the hybrid model is based on character-based n-gram similarity word embeddings manhattan lstm and support vector regression. we also test other models based on wordnet and latent semantic analysis. our model achieves comparable results on both sts benchmark dataset and semeval-2017 task 1 dataset for semantic textual similarity evaluation. finally we integrate this model into a complete e-learning system including a website and an android app.. this project develops a comprehensive e-learning platform that incorporates an automated grading system for arabic essay questions. by utilizing advanced machine learning and nlp techniques the system evaluates the semantic similarity between student responses and model answers providing instant feedback and reducing the burden on human instructors.,259,"['automated grading system', 'essay questions grading', 'arabic essay questions', 'semantic similarity', 'questions mcq essay', 'machine learning', 'natural language', 'hybrid model']",95.64
81,,Electrical Circuits for kids,"Ahmed Mohamed kamal, Ahmed Samy Salem, Ahmed Ibrahim Awwad, Ahmed Abdelbast Ahmed, Mohamed fawzy Sobhy, Ali Gamal Ali",2017,"The project 'Electrical Circuits for kids' is an educational mobile application designed to transform the way children interact with technology. By shifting the focus from passive gaming to active learning, the application teaches children aged 8 to 15 the fundamentals of electrical circuits through interactive lessons, practical applications, and engaging puzzles. The system utilizes a child-friendly interface with animations and sound effects to enhance focus and make the educational process both fun and effective.","The application features a simple, intuitive design tailored for children. It includes a home page with three main sections: Lessons, Practical Applications, and Puzzles. The lessons cover basic circuit components and connection methods. The application incorporates colorful visuals, animations, and audio feedback to maintain the child's interest and provide an immersive learning experience that encourages scientific curiosity.","Children frequently use tablets for entertainment and gaming, which can negatively impact their educational progress and waste valuable time that could be spent on productive learning activities.","A dedicated educational mobile application that gamifies the learning of electrical circuits, providing children with a fun, interactive, and educational alternative to standard gaming apps.","1. Provide accurate and reliable functionality.
2. Provide interactive educational tools and resources.
3. Improve mobile application usability and performance.
4. Support future scalability and feature expansion.
5. Implement modern technologies and best practices.
6. Implement intelligent AI-based functionalities.
7. Improve decision-making using artificial intelligence techniques.
8. Improve system performance and reliability.","Electrical Circuits for kids. The project 'Electrical Circuits for kids' is an educational mobile application designed to transform the way children interact with technology. By shifting the focus from passive gaming to active learning, the application teaches children aged 8 to 15 the fundamentals of electrical circuits through interactive lessons, practical applications, and engaging puzzles. The system utilizes a child-friendly interface with animations and sound effects to enhance focus and make the educational process both fun and effective.. The application features a simple, intuitive design tailored for children. It includes a home page with three main sections: Lessons, Practical Applications, and Puzzles. The lessons cover basic circuit components and connection methods. The application incorporates colorful visuals, animations, and audio feedback to maintain the child's interest and provide an immersive learning experience that encourages scientific curiosity.",electrical circuits for kids. the project electrical circuits for kids is an educational mobile application designed to transform the way children interact with technology. by shifting the focus from passive gaming to active learning the application teaches children aged 8 to 15 the fundamentals of electrical circuits through interactive lessons practical applications and engaging puzzles. the system utilizes a child-friendly interface with animations and sound effects to enhance focus and make the educational process both fun and effective.. the application features a simple intuitive design tailored for children. it includes a home page with three main sections lessons practical applications and puzzles. the lessons cover basic circuit components and connection methods. the application incorporates colorful visuals animations and audio feedback to maintain the child s interest and provide an immersive learning experience that encourages scientific curiosity.,136,"['lessons practical applications', 'educational mobile application', 'interactive lessons practical', 'application teaches children', 'project electrical circuits', 'mobile application designed', 'teaches children aged', 'circuit components', 'circuits for kids', 'basic circuit']",100.0
82,,Electronic Medical Records System Using Blockchain Technology (MedRecChain),"Ghada Abdul Wahab Awwad, Fatma Mohamed Sorour, Heba Walid Seliem, Farouk Hamed Seliem, Ali Tharwat Mohamed, Aya Hamdy Abdalla, Fatma Samir El Sayed",2023,"MedRecChain is a decentralized solution designed to address the challenges faced by Electronic Medical Records (EMR) sharing systems. Leveraging the Ethereum network and IPFS technology, MedRecChain offers a secure and efficient platform for storing and exchanging medical records. Traditional EMR systems often encounter issues such as data breaches, lack of interoperability, and limited patient control over their own records. MedRecChain aims to overcome these challenges by employing blockchain technology, ensuring data immutability, transparency, and enhanced security. By utilizing the Ethereum network, MedRecChain establishes a decentralized infrastructure that allows healthcare providers, patients, and other authorized parties to access and share medical records in a seamless and trustless manner. The use of smart contracts further enhances the integrity and reliability of transactions, enabling automated and auditable interactions. In addition, MedRecChain incorporates IPFS (InterPlanetary File System) technology to efficiently store and distribute medical records. IPFS facilitates the decentralized storage and retrieval of data, eliminating reliance on a single central server and enabling greater scalability and resilience. The key features of MedRecChain include secure patient identification, granular access control, data privacy, and auditability. Patients have full control over their medical records, granting or revoking access to healthcare providers as needed. The system ensures data privacy through encryption techniques, while still allowing authorized parties to trace and audit record access and modifications. Through the implementation of MedRecChain, the healthcare industry can benefit from a decentralized and secure solution for EMR sharing. It has the potential to streamline record management, enhance patient privacy and control, and foster interoperability among different healthcare entities.","MedRecChain is a blockchain-based platform designed to modernize Electronic Medical Records (EMR) management. It replaces centralized, vulnerable, and fragmented EMR systems with a decentralized architecture that prioritizes patient data ownership, security, and interoperability. By integrating Ethereum for smart contract-based access control and IPFS for distributed file storage, the system ensures that medical records are immutable, transparent, and accessible only to authorized parties, thereby reducing the risk of data breaches and single points of failure.","Traditional centralized EMR systems suffer from security vulnerabilities (data breaches), lack of interoperability between different healthcare providers, fragmented patient records, limited patient control over their own data, and reliance on single points of failure, which can lead to system outages and compromised patient safety.","A decentralized EMR sharing platform called MedRecChain that utilizes Ethereum blockchain for secure, transparent, and immutable transaction logging and access control, combined with IPFS for decentralized, fault-tolerant storage of medical records. This approach empowers patients with control over their data and ensures seamless, secure interoperability between healthcare entities.","1. Provide accurate and reliable functionality.
2. Improve system performance and reliability.
3. Develop a scalable and maintainable solution.
4. Implement secure authentication and authorization mechanisms.
5. Enhance user experience and usability.","Electronic Medical Records System Using Blockchain Technology (MedRecChain). MedRecChain is a decentralized solution designed to address the challenges faced by Electronic Medical Records (EMR) sharing systems. Leveraging the Ethereum network and IPFS technology, MedRecChain offers a secure and efficient platform for storing and exchanging medical records. Traditional EMR systems often encounter issues such as data breaches, lack of interoperability, and limited patient control over their own records. MedRecChain aims to overcome these challenges by employing blockchain technology, ensuring data immutability, transparency, and enhanced security. By utilizing the Ethereum network, MedRecChain establishes a decentralized infrastructure that allows healthcare providers, patients, and other authorized parties to access and share medical records in a seamless and trustless manner. The use of smart contracts further enhances the integrity and reliability of transactions, enabling automated and auditable interactions. In addition, MedRecChain incorporates IPFS (InterPlanetary File System) technology to efficiently store and distribute medical records. IPFS facilitates the decentralized storage and retrieval of data, eliminating reliance on a single central server and enabling greater scalability and resilience. The key features of MedRecChain include secure patient identification, granular access control, data privacy, and auditability. Patients have full control over their medical records, granting or revoking access to healthcare providers as needed. The system ensures data privacy through encryption techniques, while still allowing authorized parties to trace and audit record access and modifications. Through the implementation of MedRecChain, the healthcare industry can benefit from a decentralized and secure solution for EMR sharing. It has the potential to streamline record management, enhance patient privacy and control, and foster interoperability among different healthcare entities.. MedRecChain is a blockchain-based platform designed to modernize Electronic Medical Records (EMR) management. It replaces centralized, vulnerable, and fragmented EMR systems with a decentralized architecture that prioritizes patient data ownership, security, and interoperability. By integrating Ethereum for smart contract-based access control and IPFS for distributed file storage, the system ensures that medical records are immutable, transparent, and accessible only to authorized parties, thereby reducing the risk of data breaches and single points of failure.",electronic medical records system using blockchain technology medrecchain . medrecchain is a decentralized solution designed to address the challenges faced by electronic medical records emr sharing systems. leveraging the ethereum network and ipfs technology medrecchain offers a secure and efficient platform for storing and exchanging medical records. traditional emr systems often encounter issues such as data breaches lack of interoperability and limited patient control over their own records. medrecchain aims to overcome these challenges by employing blockchain technology ensuring data immutability transparency and enhanced security. by utilizing the ethereum network medrecchain establishes a decentralized infrastructure that allows healthcare providers patients and other authorized parties to access and share medical records in a seamless and trustless manner. the use of smart contracts further enhances the integrity and reliability of transactions enabling automated and auditable interactions. in addition medrecchain incorporates ipfs interplanetary file system technology to efficiently store and distribute medical records. ipfs facilitates the decentralized storage and retrieval of data eliminating reliance on a single central server and enabling greater scalability and resilience. the key features of medrecchain include secure patient identification granular access control data privacy and auditability. patients have full control over their medical records granting or revoking access to healthcare providers as needed. the system ensures data privacy through encryption techniques while still allowing authorized parties to trace and audit record access and modifications. through the implementation of medrecchain the healthcare industry can benefit from a decentralized and secure solution for emr sharing. it has the potential to streamline record management enhance patient privacy and control and foster interoperability among different healthcare entities.. medrecchain is a blockchain-based platform designed to modernize electronic medical records emr management. it replaces centralized vulnerable and fragmented emr systems with a decentralized architecture that prioritizes patient data ownership security and interoperability. by integrating ethereum for smart contract-based access control and ipfs for distributed file storage the system ensures that medical records are immutable transparent and accessible only to authorized parties thereby reducing the risk of data breaches and single points of failure.,339,"['blockchain technology medrecchain', 'ipfs technology medrecchain', 'electronic medical records', 'exchanging medical records', 'medical records system', 'medical records emr']",72.0
83,,ELECTRONIC MENU,"Hend Abdelmohymen Omar, Lobna Ahmed Abo Rashed, Noura AbdRabou Fathy, Omnia Aziz Ali, Wessam Shabaan Elsharawy, Yasmeen Arfa Ali, Yasmeen Salah Abo Elsoad",2016,"In order to effectively run a restaurant, cost and time saving are essential. Minimizing time by a few seconds for each table can speed up order processing, increase efficiency and boost profits. The biggest hurdle most restaurants face is the migration from a paper-pencil system to a completely automated touch-screen system. Most retail establishments choose to use E-menu system to handle their transactions.",This section presents the general overview of the proposed system. It demonstrates the main components of the system and how they interact with each other.,"Restaurants struggle with the inefficiencies of traditional paper-pencil ordering systems, which are prone to errors and slow down service. This manual approach hinders operational speed, reduces overall efficiency, and ultimately limits the potential for maximizing restaurant profits.","The proposed solution is an automated electronic menu (E-menu) system that utilizes touch-screen technology to streamline the ordering process. By replacing manual methods with a digital interface, the system facilitates faster order processing, reduces human error, and improves the overall efficiency of restaurant transactions.","1. Support future scalability and feature expansion.
2. Enhance user experience and usability.
3. Improve system performance and reliability.
4. Improve decision-making using artificial intelligence techniques.
5. Develop a scalable and maintainable solution.
6. Improve overall productivity and workflow optimization.","ELECTRONIC MENU. In order to effectively run a restaurant, cost and time saving are essential. Minimizing time by a few seconds for each table can speed up order processing, increase efficiency and boost profits. The biggest hurdle most restaurants face is the migration from a paper-pencil system to a completely automated touch-screen system. Most retail establishments choose to use E-menu system to handle their transactions.. This section presents the general overview of the proposed system. It demonstrates the main components of the system and how they interact with each other.",electronic menu. in order to effectively run a restaurant cost and time saving are essential. minimizing time by a few seconds for each table can speed up order processing increase efficiency and boost profits. the biggest hurdle most restaurants face is the migration from a paper-pencil system to a completely automated touch-screen system. most retail establishments choose to use e-menu system to handle their transactions.. this section presents the general overview of the proposed system. it demonstrates the main components of the system and how they interact with each other.,90,"['processing increase efficiency', 'order processing increase', 'saving are essential', 'restaurants face', 'electronic menu', 'effectively run', 'minimizing time', 'restaurant cost', 'table can speed', 'boost profits', 'time saving']",100.0
85,,Electronic School,"Amr Mahmoud Abd Elsalam Muhmed, Muhamed Mustafa Abdelmonaim Gadallah, Muhamed Mustafa Metwally Metwally, Hakeem Mohamed Ali Elgendy",2022,"Human history is observing a very strange time fighting an invisible enemy; the novel COVID-19 or coronavirus. Initially observed in the Wuhan province of China, now spreading too fast around the world, taking our loved ones, causing many losses, and forcing us to stay at home. But with the emergence of new technologies such as the internet, it is now possible to work, learn, and do lots of stuff while we are at home. And as we know, Learning is an essential process to keep acquiring new understanding, knowledge, behaviors, skills, values, attitudes, and preferences. We define electronic learning as courses that are specifically delivered via the internet to somewhere other than the classroom where the professor is teaching. Between multiple options, it is very crucial to select the best learning resource that forwards the learning process and provides you with the essential and best tools to learn fast and easily, so in this documentation, you will find a new E-learning system (Electronic School) that we have developed for students and teachers all over the world in general and students and teachers in Arab countries particularly. The system's objective briefly are to introduce a new user-friendly online learning platform that increases student's interaction and makes their learning experience more fun and helps teachers create courses easily and provides courses from authorized and verified teachers and educational institutions, also providing a wide range of quizzes, tests and assignment questions. In this Electronic School in order to be built we have to specify its requirements and what user needs and what the systems themselves need and we used different methods in order to make the system analysis, design, and implementation like UML (unified modeling language) diagrams and in order to make the web application coding we used different front and back end programming languages like (HTML, CSS, JavaScript) and MySQL databases.","The world we live in has been through a lot of hard situations throughout the history of humankind, we went through a lot of economic crises and a lot of healthcare crises, and a lot of diseases and wars which lead to a large number of injuries and deaths and we have seen a lot of disasters that have hit a lot of countries. But starting from Dec 2019 we have faced a new enemy which is invisible and we can easily detect it and it came at a time that we weren't ready for every country has its problems already, and COVID19 made a fatal impact on the worldwide, according to (WHO) and Centers for Disease Control and Prevention (CDC) COVID-19 is derived from a family of viruses known as coronavirus Which is a disease that infects and harm the overall health of both humans and animals and the virus spreads between people by the spread of the small infected droplets that comes from the nose or the mouse of the infected person. [1, 2] Of, these crises made a fatal impact on students in schools and universities and stopped education on all levels but the bright side after all these crises we have gone through that we as humans manage to move on and keep going forward and we adapt to whatever circumstances we go through we keep building, learning, studying and working and our project is a huge proof for that we can keep learning. Our project is a web application that provides online courses and educational content for anyone who wants to learn a certain skill or get to know more about a certain topic and this project is based on the e-learning concept. 2 Since 2000 The growth of online courses has started and the growth of e-learning has been massive, Enrollment in online programs has more than doubled in the last few years, and this trend is likely to continue, Several factors contribute to the growth of online learning: enhancement of technology, perceived value and the need for online courses won't end, for example, current circumstances because the covid-19 virus as we mentioned, the only source for learning and gaining experiences is online courses and online pieces of training. [4] E-learning has a lot of benefits that solve a lot of problems for both teachers and students as it reduces costs, saves a lot of time, and removes location barriers. A former survey and a study made in the United States showed that there are a large number of students enrolled in a huge number of online courses in 2004 The number of students was reported to be 35 million students. The survey also indicated and maintained that the curve of distance education and E-learning is increasing rapidly and many organizations started heading toward online education and there is a Global direction of reliance on online education in high education and high-level universities as its essential to depend on these high-level organizations and institutions to provide high quality in E-learning industry as a whole.[5] One of the most important motives that led us to start developing this online learning web application is to provide features and options that are not provided in existing systems and also to make the website as user-friendly as possible and to help the user to be comfortable and provide the tools that the user might want or use to that the user has the best online learning experience","According to Mahalakshmi, Kumar & Saravanakumar (2020), the need for an enhanced and developed e-learning system has evolved to be a mandatory and necessary, and essential component in all levels of education, especially in the COVID 19 crisis and its pandemic as there is an urgent need for an e-learning web application that gives the user the options and the features they look for and the e-learning systems right now is required by all educational sectors schools, educational institutions, universities, and training centers as this pandemic we are going through made a huge lockdown on all countries in the world and all the world suffered from it. These crises exposed the huge disadvantages of the traditional educational learning system (location barriers, high costs, delays, lack of educational tools, etc..) and the e-learning system and distance learning come with a lot of solutions and benefits to solve the problems students and teachers face in traditional education, Enhanced tools and technological techniques that solve a lot of problems we face also online learning leads to cost reduction and it can't be stopped because location barriers as it's accessed from anywhere where there is an internet connection and also it is consistent and it's faster and easily managed and implemented. [6]","The proposed solution is to develop an integrated and user-friendly digital platform that enhances the online learning experience by providing efficient course management, communication, assignments, tests, and educational resources in a single system. The platform will utilize modern web technologies and responsive design principles to ensure accessibility, reliability, and ease of use for both students and teachers. Additionally, the system aims to improve interaction, streamline the learning process, and provide a flexible and efficient environment for remote education, especially in situations where traditional learning methods are limited. ","1. Improve learning experience and educational accessibility.
2. Provide efficient data analysis and reporting features.
3. Improve decision-making using artificial intelligence techniques.
4. Implement intelligent AI-based functionalities.
5. Provide accurate and reliable functionality.
6. Improve overall productivity and workflow optimization.
7. Develop a responsive and user-friendly web application.","Electronic School. Human history is observing a very strange time fighting an invisible enemy; the novel COVID-19 or coronavirus. Initially observed in the Wuhan province of China, now spreading too fast around the world, taking our loved ones, causing many losses, and forcing us to stay at home. But with the emergence of new technologies such as the internet, it is now possible to work, learn, and do lots of stuff while we are at home. And as we know, Learning is an essential process to keep acquiring new understanding, knowledge, behaviors, skills, values, attitudes, and preferences. We define electronic learning as courses that are specifically delivered via the internet to somewhere other than the classroom where the professor is teaching. Between multiple options, it is very crucial to select the best learning resource that forwards the learning process and provides you with the essential and best tools to learn fast and easily, so in this documentation, you will find a new E-learning system (Electronic School) that we have developed for students and teachers all over the world in general and students and teachers in Arab countries particularly. The system's objective briefly are to introduce a new user-friendly online learning platform that increases student's interaction and makes their learning experience more fun and helps teachers create courses easily and provides courses from authorized and verified teachers and educational institutions, also providing a wide range of quizzes, tests and assignment questions. In this Electronic School in order to be built we have to specify its requirements and what user needs and what the systems themselves need and we used different methods in order to make the system analysis, design, and implementation like UML (unified modeling language) diagrams and in order to make the web application coding we used different front and back end programming languages like (HTML, CSS, JavaScript) and MySQL databases.. The world we live in has been through a lot of hard situations throughout the history of humankind, we went through a lot of economic crises and a lot of healthcare crises, and a lot of diseases and wars which lead to a large number of injuries and deaths and we have seen a lot of disasters that have hit a lot of countries. But starting from Dec 2019 we have faced a new enemy which is invisible and we can easily detect it and it came at a time that we weren't ready for every country has its problems already, and COVID19 made a fatal impact on the worldwide, according to (WHO) and Centers for Disease Control and Prevention (CDC) COVID-19 is derived from a family of viruses known as coronavirus Which is a disease that infects and harm the overall health of both humans and animals and the virus spreads between people by the spread of the small infected droplets that comes from the nose or the mouse of the infected person. [1, 2] Of, these crises made a fatal impact on students in schools and universities and stopped education on all levels but the bright side after all these crises we have gone through that we as humans manage to move on and keep going forward and we adapt to whatever circumstances we go through we keep building, learning, studying and working and our project is a huge proof for that we can keep learning. Our project is a web application that provides online courses and educational content for anyone who wants to learn a certain skill or get to know more about a certain topic and this project is based on the e-learning concept. 2 Since 2000 The growth of online courses has started and the growth of e-learning has been massive, Enrollment in online programs has more than doubled in the last few years, and this trend is likely to continue, Several factors contribute to the growth of online learning: enhancement of technology, perceived value and the need for online courses won't end, for example, current circumstances because the covid-19 virus as we mentioned, the only source for learning and gaining experiences is online courses and online pieces of training. [4] E-learning has a lot of benefits that solve a lot of problems for both teachers and students as it reduces costs, saves a lot of time, and removes location barriers. A former survey and a study made in the United States showed that there are a large number of students enrolled in a huge number of online courses in 2004 The number of students was reported to be 35 million students. The survey also indicated and maintained that the curve of distance education and E-learning is increasing rapidly and many organizations started heading toward online education and there is a Global direction of reliance on online education in high education and high-level universities as its essential to depend on these high-level organizations and institutions to provide high quality in E-learning industry as a whole.[5] One of the most important motives that led us to start developing this online learning web application is to provide features and options that are not provided in existing systems and also to make the website as user-friendly as possible and to help the user to be comfortable and provide the tools that the user might want or use to that the user has the best online learning experience",electronic school. human history is observing a very strange time fighting an invisible enemy the novel covid-19 or coronavirus. initially observed in the wuhan province of china now spreading too fast around the world taking our loved ones causing many losses and forcing us to stay at home. but with the emergence of new technologies such as the internet it is now possible to work learn and do lots of stuff while we are at home. and as we know learning is an essential process to keep acquiring new understanding knowledge behaviors skills values attitudes and preferences. we define electronic learning as courses that are specifically delivered via the internet to somewhere other than the classroom where the professor is teaching. between multiple options it is very crucial to select the best learning resource that forwards the learning process and provides you with the essential and best tools to learn fast and easily so in this documentation you will find a new e-learning system electronic school that we have developed for students and teachers all over the world in general and students and teachers in arab countries particularly. the system s objective briefly are to introduce a new user-friendly online learning platform that increases student s interaction and makes their learning experience more fun and helps teachers create courses easily and provides courses from authorized and verified teachers and educational institutions also providing a wide range of quizzes tests and assignment questions. in this electronic school in order to be built we have to specify its requirements and what user needs and what the systems themselves need and we used different methods in order to make the system analysis design and implementation like uml unified modeling language diagrams and in order to make the web application coding we used different front and back end programming languages like html css javascript and mysql databases.. the world we live in has been through a lot of hard situations throughout the history of humankind we went through a lot of economic crises and a lot of healthcare crises and a lot of diseases and wars which lead to a large number of injuries and deaths and we have seen a lot of disasters that have hit a lot of countries. but starting from dec 2019 we have faced a new enemy which is invisible and we can easily detect it and it came at a time that we weren t ready for every country has its problems already and covid19 made a fatal impact on the worldwide according to who and centers for disease control and prevention cdc covid-19 is derived from a family of viruses known as coronavirus which is a disease that infects and harm the overall health of both humans and animals and the virus spreads between people by the spread of the small infected droplets that comes from the nose or the mouse of the infected person. 1 2 of these crises made a fatal impact on students in schools and universities and stopped education on all levels but the bright side after all these crises we have gone through that we as humans manage to move on and keep going forward and we adapt to whatever circumstances we go through we keep building learning studying and working and our project is a huge proof for that we can keep learning. our project is a web application that provides online courses and educational content for anyone who wants to learn a certain skill or get to know more about a certain topic and this project is based on the e-learning concept. 2 since 2000 the growth of online courses has started and the growth of e-learning has been massive enrollment in online programs has more than doubled in the last few years and this trend is likely to continue several factors contribute to the growth of online learning enhancement of technology perceived value and the need for online courses won t end for example current circumstances because the covid-19 virus as we mentioned the only source for learning and gaining experiences is online courses and online pieces of training. 4 e-learning has a lot of benefits that solve a lot of problems for both teachers and students as it reduces costs saves a lot of time and removes location barriers. a former survey and a study made in the united states showed that there are a large number of students enrolled in a huge number of online courses in 2004 the number of students was reported to be 35 million students. the survey also indicated and maintained that the curve of distance education and e-learning is increasing rapidly and many organizations started heading toward online education and there is a global direction of reliance on online education in high education and high-level universities as its essential to depend on these high-level organizations and institutions to provide high quality in e-learning industry as a whole. 5 one of the most important motives that led us to start developing this online learning web application is to provide features and options that are not provided in existing systems and also to make the website as user-friendly as possible and to help the user to be comfortable and provide the tools that the user might want or use to that the user has the best online learning experience,895,"['user-friendly online learning', 'e-learning system electronic', 'online learning enhancement', 'online learning experience', 'system electronic school', 'learning web application', 'online learning web', 'online education']",8.22
86,,Endpoint Security: Effective Protection Against Cyber Threats,"Ahmed Osama Ahmed, Abdelhamid Ahmed Abdelhamid, Islam Essam Saeed, Esraa Essam Abdullatif, Mariam Mohamed Abdullah, Mohamed Mohamed Abdelkader, Marina Ramzy Shabib",2024,"Endpoint Security project presents a comprehensive Cybersecurity platform for managing Endpoints Security through three interconnected components: client-side protection, centralized management, and threat intelligence integration. The client component includes Host-based Intrusion Detection Systems (HIDS) and Malware Detection tools, which provide robust security measures directly on the endpoints. These systems monitor and analyze activities to detect suspicious behaviour and potential malware infections in real-time. The CenterPoint component functions as an API that manages all endpoints. It serves as the core of the system, overseeing and coordinating security policies, rules, and updates across the network. This centralized management ensures consistent security measures and facilitates streamlined control over multiple endpoints. The threat intelligence component focuses on fetching Indicators of Compromise (IOCs) from OTX AlienVault. This integration allows the system to stay updated with the latest threat intelligence, including IP addresses, URLs, file hashes, and YARA rules, enhancing its ability to detect and respond to emerging threats.","This project is a comprehensive web-based cybersecurity platform designed to secure network endpoints. It integrates real-time monitoring, centralized policy management, and automated threat intelligence to protect devices from malware, ransomware, and unauthorized network activities.","Organizations are highly vulnerable to cyber-attacks, such as spear phishing and malware, which can bypass human awareness and cause significant financial and data loss. Relying solely on manual security or employee education is insufficient, necessitating an automated, robust endpoint security solution.","The project proposes a three-tiered security architecture: a client-side agent for HIDS and malware detection, a centralized API (CenterPoint) for policy management, and a threat intelligence module that integrates with OTX AlienVault to provide real-time updates on emerging threats using IOCs and YARA rules.","1. Optimize resource allocation and task management.
2. Enhance user experience and usability.
3. Improve accessibility across different devices and platforms.
4. Enhance system security and protect sensitive user data.
5. Reduce operational complexity and improve efficiency.
6. Implement intelligent AI-based functionalities.
7. Implement secure authentication and authorization mechanisms.","Endpoint Security: Effective Protection Against Cyber Threats. Endpoint Security project presents a comprehensive Cybersecurity platform for managing Endpoints Security through three interconnected components: client-side protection, centralized management, and threat intelligence integration. The client component includes Host-based Intrusion Detection Systems (HIDS) and Malware Detection tools, which provide robust security measures directly on the endpoints. These systems monitor and analyze activities to detect suspicious behaviour and potential malware infections in real-time. The CenterPoint component functions as an API that manages all endpoints. It serves as the core of the system, overseeing and coordinating security policies, rules, and updates across the network. This centralized management ensures consistent security measures and facilitates streamlined control over multiple endpoints. The threat intelligence component focuses on fetching Indicators of Compromise (IOCs) from OTX AlienVault. This integration allows the system to stay updated with the latest threat intelligence, including IP addresses, URLs, file hashes, and YARA rules, enhancing its ability to detect and respond to emerging threats.. This project is a comprehensive web-based cybersecurity platform designed to secure network endpoints. It integrates real-time monitoring, centralized policy management, and automated threat intelligence to protect devices from malware, ransomware, and unauthorized network activities.",endpoint security effective protection against cyber threats. endpoint security project presents a comprehensive cybersecurity platform for managing endpoints security through three interconnected components client-side protection centralized management and threat intelligence integration. the client component includes host-based intrusion detection systems hids and malware detection tools which provide robust security measures directly on the endpoints. these systems monitor and analyze activities to detect suspicious behaviour and potential malware infections in real-time. the centerpoint component functions as an api that manages all endpoints. it serves as the core of the system overseeing and coordinating security policies rules and updates across the network. this centralized management ensures consistent security measures and facilitates streamlined control over multiple endpoints. the threat intelligence component focuses on fetching indicators of compromise iocs from otx alienvault. this integration allows the system to stay updated with the latest threat intelligence including ip addresses urls file hashes and yara rules enhancing its ability to detect and respond to emerging threats.. this project is a comprehensive web-based cybersecurity platform designed to secure network endpoints. it integrates real-time monitoring centralized policy management and automated threat intelligence to protect devices from malware ransomware and unauthorized network activities.,193,"['client-side protection centralized', 'components client-side protection', 'protection centralized management', 'security effective protection', 'endpoint security effective', 'endpoint security project', 'protection against cyber', 'threat intelligence', 'security measures', 'cyber threats']",98.49
87,,Esaltare Dekör,"Ziad Essam Abdelaziz AbdelMoula, Saad AbdelRazek Saad AbdelRazek, Karim Hazem Hamed Mohamed, Al-Shaimaa Gamal Ahmed Hassan, Baraa AbdelMoez Ibrahim Al-Sayed Al-Deeb",2025,"This project focuses on creating a modern e-commerce platform tailored for the home decor industry, offering an enhanced and interactive shopping experience. Inspired by top brands like Home Zmart and IKEA, the platform includes a user-friendly interface where customers can browse products, view high-quality images, compare items, save favorites, and manage wish lists and carts easily. A key feature is the integration of advanced 3D Design and visualization tools, allowing users to preview decor items in their own spaces, making the shopping process more informed and personalized. Real-time order tracking and delivery updates add transparency and build customer trust. Vendors benefit from a subscription-based model, gaining access to intuitive tools for managing product listings, updating inventory, adjusting pricing, and tracking performance. An admin dashboard provides full control over users, vendors, and orders, alongside analytics for monitoring platform efficiency. Additionally, a built-in chatbot offers real-time assistance and recommendations, supporting both users and vendors with inquiries, updates, and troubleshooting. Secure payment methods ensure financial data is protected, while multiple checkout options offer flexibility. Overall, the platform delivers a seamless, efficient, and secure experience, combining innovative features with robust management tools to serve the needs of customers, vendors, and administrators alike.","Esaltare Dekör is an innovative e-commerce platform designed specifically for the home decor market. It bridges the gap between traditional shopping and modern technology by providing a user-centric interface, 3D visualization tools for space planning, and an AI-powered chatbot for personalized recommendations and support. The platform also includes a comprehensive vendor portal and an administrative dashboard for efficient management and data-driven decision-making.","Consumers face a fragmented shopping experience with limited personalization and an inability to visualize how decor items will look in their own homes. Simultaneously, vendors struggle to reach broader audiences and manage product listings effectively, while administrators lack the necessary tools to oversee platform operations and performance.","The project proposes an integrated e-commerce platform featuring 3D design visualization, an AI-driven chatbot for personalized assistance, a robust vendor management system with subscription tiers, and an administrative dashboard for analytics and order processing to streamline the entire home decor shopping journey.","1. Enable real-time monitoring and tracking capabilities.
2. Develop a scalable and maintainable solution.
3. Implement intelligent AI-based functionalities.
4. Improve system performance and reliability.
5. Reduce operational complexity and improve efficiency.
6. Optimize resource allocation and task management.","Esaltare Dekör. This project focuses on creating a modern e-commerce platform tailored for the home decor industry, offering an enhanced and interactive shopping experience. Inspired by top brands like Home Zmart and IKEA, the platform includes a user-friendly interface where customers can browse products, view high-quality images, compare items, save favorites, and manage wish lists and carts easily. A key feature is the integration of advanced 3D Design and visualization tools, allowing users to preview decor items in their own spaces, making the shopping process more informed and personalized. Real-time order tracking and delivery updates add transparency and build customer trust. Vendors benefit from a subscription-based model, gaining access to intuitive tools for managing product listings, updating inventory, adjusting pricing, and tracking performance. An admin dashboard provides full control over users, vendors, and orders, alongside analytics for monitoring platform efficiency. Additionally, a built-in chatbot offers real-time assistance and recommendations, supporting both users and vendors with inquiries, updates, and troubleshooting. Secure payment methods ensure financial data is protected, while multiple checkout options offer flexibility. Overall, the platform delivers a seamless, efficient, and secure experience, combining innovative features with robust management tools to serve the needs of customers, vendors, and administrators alike.. Esaltare Dekör is an innovative e-commerce platform designed specifically for the home decor market. It bridges the gap between traditional shopping and modern technology by providing a user-centric interface, 3D visualization tools for space planning, and an AI-powered chatbot for personalized recommendations and support. The platform also includes a comprehensive vendor portal and an administrative dashboard for efficient management and data-driven decision-making.",esaltare dek r. this project focuses on creating a modern e-commerce platform tailored for the home decor industry offering an enhanced and interactive shopping experience. inspired by top brands like home zmart and ikea the platform includes a user-friendly interface where customers can browse products view high-quality images compare items save favorites and manage wish lists and carts easily. a key feature is the integration of advanced 3d design and visualization tools allowing users to preview decor items in their own spaces making the shopping process more informed and personalized. real-time order tracking and delivery updates add transparency and build customer trust. vendors benefit from a subscription-based model gaining access to intuitive tools for managing product listings updating inventory adjusting pricing and tracking performance. an admin dashboard provides full control over users vendors and orders alongside analytics for monitoring platform efficiency. additionally a built-in chatbot offers real-time assistance and recommendations supporting both users and vendors with inquiries updates and troubleshooting. secure payment methods ensure financial data is protected while multiple checkout options offer flexibility. overall the platform delivers a seamless efficient and secure experience combining innovative features with robust management tools to serve the needs of customers vendors and administrators alike.. esaltare dek r is an innovative e-commerce platform designed specifically for the home decor market. it bridges the gap between traditional shopping and modern technology by providing a user-centric interface 3d visualization tools for space planning and an ai-powered chatbot for personalized recommendations and support. the platform also includes a comprehensive vendor portal and an administrative dashboard for efficient management and data-driven decision-making.,264,"['interactive shopping experience', 'e-commerce platform tailored', 'enhanced and interactive', 'decor industry offering', 'offering an enhanced', 'images compare items', 'home decor industry', 'focuses on creating', 'preview decor items', 'compare items save', 'home decor market', 'project focuses']",100.0
88,,E-Wallet,"Ahmed Mamdoh Fadl, Emary Aymen Mohamed, Mohamed Abdalgafar Salem, Mohamed Adel Mahmoud Ghobara, Mahmoud Abdelwahid Elsayed Elkolaly, Mahmoud Mohamed Wafik Kharboush",2023,"The current advancements in information technology and communications have brought about significant changes in the business world. These developments have created an opportunity for the widespread acceptance of mobile payments. To understand the potential of this trend, we conducted a statistical survey to gauge the number of people using electronic payment methods and making purchases online. During our research, we discovered a couple of factors that hindered the adoption of electronic payment methods. First, small shops often faced challenges in providing electronic payment options due to various reasons such as cost, technical infrastructure, or lack of knowledge. Second, individuals expressed concerns about the security of their personal data, particularly when it came to their bank and visa information. These fears surrounding data theft or privacy breaches acted as a barrier to the adoption of electronic payment methods. To address these challenges and promote the usage of mobile payments, we developed a mobile application. This app serves as a platform for users to easily transfer money between each other. It is available for both Android and iOS devices, ensuring compatibility with the majority of smartphones. The primary purpose of this mobile app is to facilitate payment transactions in various scenarios. It can be used in commercial settings, allowing businesses to accept payments conveniently. Additionally, it provides a means for family members to transfer funds to each other, supports individuals in need, and enables easy donations. One of the key features of the app is the 'Just Scan to Pay' functionality. Users can make payments by scanning QR codes, using payment links, providing an order ID, or specifying a user ID. This ensures a seamless and secure transaction experience by offering these capabilities, the mobile app caters to a wide range of users, including online merchants, market sellers, shops, family members, workers, and freelancers. It addresses the needs of both individuals and businesses, making it a versatile and valuable tool in the evolving landscape of mobile payments.","The E-Wallet project is a mobile application designed to facilitate secure and convenient financial transactions for individuals and small businesses. It supports various payment methods, including QR code scanning, payment links, and user IDs, aiming to bridge the gap between traditional cash-based transactions and modern digital payment systems.","Small businesses face high costs and infrastructure barriers to accepting digital payments, while individuals have concerns regarding the security of their financial data and the lack of trust in online transactions. Additionally, there is a need for a more efficient way to handle daily expenses and transfers without relying solely on physical cash or bank cards.","A cross-platform mobile application (Android and iOS) that provides a 'Just Scan to Pay' feature. The app integrates with payment gateways to support bank cards and mobile wallets, allowing for secure, on-the-spot transactions via QR codes, links, or IDs, thereby eliminating the need for expensive point-of-sale hardware.","1. Provide accurate and reliable functionality.
2. Enhance system security and protect sensitive user data.
3. Develop a scalable and maintainable solution.
4. Improve system performance and reliability.
5. Enhance user experience and usability.","E-Wallet. The current advancements in information technology and communications have brought about significant changes in the business world. These developments have created an opportunity for the widespread acceptance of mobile payments. To understand the potential of this trend, we conducted a statistical survey to gauge the number of people using electronic payment methods and making purchases online. During our research, we discovered a couple of factors that hindered the adoption of electronic payment methods. First, small shops often faced challenges in providing electronic payment options due to various reasons such as cost, technical infrastructure, or lack of knowledge. Second, individuals expressed concerns about the security of their personal data, particularly when it came to their bank and visa information. These fears surrounding data theft or privacy breaches acted as a barrier to the adoption of electronic payment methods. To address these challenges and promote the usage of mobile payments, we developed a mobile application. This app serves as a platform for users to easily transfer money between each other. It is available for both Android and iOS devices, ensuring compatibility with the majority of smartphones. The primary purpose of this mobile app is to facilitate payment transactions in various scenarios. It can be used in commercial settings, allowing businesses to accept payments conveniently. Additionally, it provides a means for family members to transfer funds to each other, supports individuals in need, and enables easy donations. One of the key features of the app is the 'Just Scan to Pay' functionality. Users can make payments by scanning QR codes, using payment links, providing an order ID, or specifying a user ID. This ensures a seamless and secure transaction experience by offering these capabilities, the mobile app caters to a wide range of users, including online merchants, market sellers, shops, family members, workers, and freelancers. It addresses the needs of both individuals and businesses, making it a versatile and valuable tool in the evolving landscape of mobile payments.. The E-Wallet project is a mobile application designed to facilitate secure and convenient financial transactions for individuals and small businesses. It supports various payment methods, including QR code scanning, payment links, and user IDs, aiming to bridge the gap between traditional cash-based transactions and modern digital payment systems.",e-wallet. the current advancements in information technology and communications have brought about significant changes in the business world. these developments have created an opportunity for the widespread acceptance of mobile payments. to understand the potential of this trend we conducted a statistical survey to gauge the number of people using electronic payment methods and making purchases online. during our research we discovered a couple of factors that hindered the adoption of electronic payment methods. first small shops often faced challenges in providing electronic payment options due to various reasons such as cost technical infrastructure or lack of knowledge. second individuals expressed concerns about the security of their personal data particularly when it came to their bank and visa information. these fears surrounding data theft or privacy breaches acted as a barrier to the adoption of electronic payment methods. to address these challenges and promote the usage of mobile payments we developed a mobile application. this app serves as a platform for users to easily transfer money between each other. it is available for both android and ios devices ensuring compatibility with the majority of smartphones. the primary purpose of this mobile app is to facilitate payment transactions in various scenarios. it can be used in commercial settings allowing businesses to accept payments conveniently. additionally it provides a means for family members to transfer funds to each other supports individuals in need and enables easy donations. one of the key features of the app is the just scan to pay functionality. users can make payments by scanning qr codes using payment links providing an order id or specifying a user id. this ensures a seamless and secure transaction experience by offering these capabilities the mobile app caters to a wide range of users including online merchants market sellers shops family members workers and freelancers. it addresses the needs of both individuals and businesses making it a versatile and valuable tool in the evolving landscape of mobile payments.. the e-wallet project is a mobile application designed to facilitate secure and convenient financial transactions for individuals and small businesses. it supports various payment methods including qr code scanning payment links and user ids aiming to bridge the gap between traditional cash-based transactions and modern digital payment systems.,374,"['providing electronic payment', 'payment methods including', 'mobile application', 'mobile payments', 'payment links']",100.0
89,,Expert System for identifying and diagnosing Plants,"Ahmed Hatem Abd Elsamie, Ahmed Reda Mousa, Ahmed Mohamed Ahmed Abd ElMoaty, Aml Salah Hussine, Samar Mohamed Mahmoud Sallam, Mostafa Ashraf Fathy Elbayomi",2023,"The main objective of this project is to create a robust and user-friendly platform that assists botanists, researchers, and enthusiasts in their endeavors to identify various plant species and diagnose diseases affecting plants. The proposed system incorporates a vast knowledge base of plant taxonomy and pathology, ensuring accurate and reliable results. To achieve the project's goals, an extensive dataset of plant images and associated metadata will be collected from diverse botanical sources and databases. The dataset will undergo meticulous preprocessing, including image augmentation and feature extraction, to extract meaningful and discriminative features that represent the unique characteristics of different plant species. The implementation of the Expert System will involve the utilization of state-of-the-art machine learning algorithms, such as convolutional neural networks (CNNs), to train a model capable of classifying plants based on their visual attributes.","This project develops an expert system designed to identify plant species and diagnose plant diseases. By leveraging machine learning techniques, specifically Convolutional Neural Networks (CNNs), the system allows users to upload images of plants to receive identification and health status information. It serves as a valuable tool for hobby gardeners, professional landscapers, and researchers by providing automated, accurate, and accessible botanical analysis.","Users often struggle to identify plant species or diagnose plant diseases accurately. Existing methods require manual research or expert consultation, which can be time-consuming and inaccessible to the general public or amateur gardeners.","The project proposes an automated expert system that uses computer vision and deep learning (CNNs) to identify plants and detect diseases from user-uploaded images. The system provides detailed information about plant species, cultivation conditions, and disease treatment options.","1. Generate accurate analytical insights and visualizations.
2. Provide efficient data analysis and reporting features.
3. Improve patient monitoring and healthcare management.
4. Improve overall productivity and workflow optimization.
5. Train and optimize machine learning algorithms.
6. Implement modern technologies and best practices.
7. Enhance healthcare efficiency and accessibility.
8. Improve prediction accuracy using machine learning models.","Expert System for identifying and diagnosing Plants. The main objective of this project is to create a robust and user-friendly platform that assists botanists, researchers, and enthusiasts in their endeavors to identify various plant species and diagnose diseases affecting plants. The proposed system incorporates a vast knowledge base of plant taxonomy and pathology, ensuring accurate and reliable results. To achieve the project's goals, an extensive dataset of plant images and associated metadata will be collected from diverse botanical sources and databases. The dataset will undergo meticulous preprocessing, including image augmentation and feature extraction, to extract meaningful and discriminative features that represent the unique characteristics of different plant species. The implementation of the Expert System will involve the utilization of state-of-the-art machine learning algorithms, such as convolutional neural networks (CNNs), to train a model capable of classifying plants based on their visual attributes.. This project develops an expert system designed to identify plant species and diagnose plant diseases. By leveraging machine learning techniques, specifically Convolutional Neural Networks (CNNs), the system allows users to upload images of plants to receive identification and health status information. It serves as a valuable tool for hobby gardeners, professional landscapers, and researchers by providing automated, accurate, and accessible botanical analysis.",expert system for identifying and diagnosing plants. the main objective of this project is to create a robust and user-friendly platform that assists botanists researchers and enthusiasts in their endeavors to identify various plant species and diagnose diseases affecting plants. the proposed system incorporates a vast knowledge base of plant taxonomy and pathology ensuring accurate and reliable results. to achieve the project s goals an extensive dataset of plant images and associated metadata will be collected from diverse botanical sources and databases. the dataset will undergo meticulous preprocessing including image augmentation and feature extraction to extract meaningful and discriminative features that represent the unique characteristics of different plant species. the implementation of the expert system will involve the utilization of state-of-the-art machine learning algorithms such as convolutional neural networks cnns to train a model capable of classifying plants based on their visual attributes.. this project develops an expert system designed to identify plant species and diagnose plant diseases. by leveraging machine learning techniques specifically convolutional neural networks cnns the system allows users to upload images of plants to receive identification and health status information. it serves as a valuable tool for hobby gardeners professional landscapers and researchers by providing automated accurate and accessible botanical analysis.,205,"['convolutional neural networks', 'diagnose diseases affecting', 'identifying and diagnosing', 'diseases affecting plants', 'identify plant species', 'neural networks cnns', 'species and diagnose', 'diagnosing plants', 'machine learning', 'expert system']",87.78
90,,Explore Egypt: An Intelligent Mobile Tour Guide Application,"Zeyad Ahmed Hassan,
Mina Khaled Samir,
Omar Tarek Fathy,
Yehia Mahmoud Adel,
Bassem Mohamed Ali,
Karim Hany Ibrahim",2023,"The Egyptian government has made a lot of efforts to develop tourism and spread awareness of Egyptian civilization in the world by building projects like renovating museums and building new museums, such as the Grand Egyptian Museum. During the past five years, the General Administration of Recovered Antiquities has been able to recover 29 thousand artifacts. We have decided to participate in these efforts and to help spread awareness of the Egyptian identity in the world in an advanced way that keeps pace with the technological progress that the world is witnessing by linking the ancient Egyptian civilization with technology and also to keep up with the requirements of the times and the trends, especially with the spread of the phenomenon of travel bloggers and the presence of many people who like to rely on themselves and travel alone.","Explore Egypt is a mobile application designed to act as an intelligent, self-service tour guide for tourists visiting Egypt. The application leverages image recognition technology to allow users to scan statues, artifacts, or historical sites to receive detailed historical information. It also includes a chatbot feature to answer tourist questions and provides practical information such as local product pricing to prevent tourist exploitation.","Tourists in Egypt often face misconceptions about the country's history and identity, harassment, and fraud due to a lack of reliable information. Additionally, relying on human tour guides can sometimes be expensive, intrusive, or lead to exploitation regarding pricing and information accuracy.","A mobile application that serves as an electronic tour guide. It features an image scanning function that identifies historical items and provides accurate historical context, a chatbot for real-time assistance, and a database of information to help tourists navigate Egypt independently, safely, and affordably.","1. Reduce operational complexity and improve efficiency.
2. Develop a scalable and maintainable solution.
3. Implement modern technologies and best practices.
4. Enhance user experience and usability.
5. Create a mobile-friendly and accessible application.
6. Improve system performance and reliability.","Explore Egypt: An Intelligent Mobile Tour Guide Application. The Egyptian government has made a lot of efforts to develop tourism and spread awareness of Egyptian civilization in the world by building projects like renovating museums and building new museums, such as the Grand Egyptian Museum. During the past five years, the General Administration of Recovered Antiquities has been able to recover 29 thousand artifacts. We have decided to participate in these efforts and to help spread awareness of the Egyptian identity in the world in an advanced way that keeps pace with the technological progress that the world is witnessing by linking the ancient Egyptian civilization with technology and also to keep up with the requirements of the times and the trends, especially with the spread of the phenomenon of travel bloggers and the presence of many people who like to rely on themselves and travel alone.. Explore Egypt is a mobile application designed to act as an intelligent, self-service tour guide for tourists visiting Egypt. The application leverages image recognition technology to allow users to scan statues, artifacts, or historical sites to receive detailed historical information. It also includes a chatbot feature to answer tourist questions and provides practical information such as local product pricing to prevent tourist exploitation.",explore egypt an intelligent mobile tour guide application. the egyptian government has made a lot of efforts to develop tourism and spread awareness of egyptian civilization in the world by building projects like renovating museums and building new museums such as the grand egyptian museum. during the past five years the general administration of recovered antiquities has been able to recover 29 thousand artifacts. we have decided to participate in these efforts and to help spread awareness of the egyptian identity in the world in an advanced way that keeps pace with the technological progress that the world is witnessing by linking the ancient egyptian civilization with technology and also to keep up with the requirements of the times and the trends especially with the spread of the phenomenon of travel bloggers and the presence of many people who like to rely on themselves and travel alone.. explore egypt is a mobile application designed to act as an intelligent self-service tour guide for tourists visiting egypt. the application leverages image recognition technology to allow users to scan statues artifacts or historical sites to receive detailed historical information. it also includes a chatbot feature to answer tourist questions and provides practical information such as local product pricing to prevent tourist exploitation.,210,"['ancient egyptian civilization', 'intelligent self-service tour', 'intelligent mobile tour', 'self-service tour guide', 'tour guide application', 'grand egyptian museum', 'egyptian government', 'renovating museums', 'mobile tour guide', 'spread awareness', 'explore egypt']",65.16
92,,Eye and Mouth Movement Controlled Robot Arm: Enabling Independence and Accessibility for Individuals with Disabilities.,"Rana Adel Kamal Jonamy Nassar, Abdelrahman Elsayed Mohamed, Yasmin Adel Soliman, Nada Ahmed Abdelsamiea, Salma Magdy Salah, Manar Abdelmonem Helmy, Eman Adel Tourky, Alaa Mohammed Hafez, Omar Sadiq Fathy",2026,"This research presents an innovative assistive robotic system designed to aid individuals with upper limb amputations or paralysis by harnessing the power of multimodal human-robot interaction. The system integrates eye-tracking technology to enable precise control of a robotic arm through intuitive eye movements, catering to the specific needs of users facing upper limb mobility challenges. Additionally, the gripping functionality of the robotic hand is seamlessly regulated through mouth gestures, providing a hands-free approach for users with limited or no arm functionality. The primary objective of this research is to enhance the independence and daily living capabilities of individuals with upper limb impairments by offering an intuitive and efficient control mechanism. By focusing on the unique needs of this user group, the project aims to contribute to the development of assistive technologies that empower users to perform a variety of tasks with greater ease and autonomy. The evaluation of the proposed multimodal assistive robotic system will involve user trials and assessments, with a particular emphasis on user satisfaction, system responsiveness, and the practicality of the designed interface for individuals facing upper limb mobility challenges. The research aspires to make significant strides in the field of assistive robotics, offering a promising avenue for improved human-robot interaction tailored to the specific needs of users with upper limb amputations or paralysis.","Innovations in robotics and assistive technology have opened new avenues for improving the lives of individuals with physical disabilities, particularly those facing upper limb amputations or paralysis. Despite significant advancements, challenges persist in providing intuitive and efficient solutions that cater to the diverse needs of this user group. Addressing these challenges requires a multifaceted approach that combines cutting-edge technology with user-centric design principles. This introduction sets the stage for a groundbreaking project focused on developing a multimodal assistive robotic system tailored to the unique requirements of individuals with upper limb impairments. By harnessing the power of eye-tracking technology and mouth gesture recognition, the project aims to create an intuitive and empowering interface that enhances users' independence and functionality in their daily lives. The following sections will delve into the motivations behind this project, the background context informing its development, the specific objectives guiding its implementation, and the anticipated outcomes that hold the promise of transforming the landscape of assistive technology for individuals facing upper limb mobility challenges. Through a holistic approach encompassing research, design, implementation, and evaluation, this project endeavors to make a meaningful and lasting impact on the lives of its intended beneficiaries.","Individuals with upper limb amputations or paralysis face significant challenges in performing daily tasks, limiting their independence and overall quality of life. Traditional assistive technologies often fall short in providing intuitive. There exists a pressing need for a sophisticated and user-friendly solution that not only addresses the limitations of existing technologies but also empowers users to regain control and autonomy in their daily activities. Current assistive devices often lack the precision and versatility required for intricate tasks, and hindering the user experience. Moreover . As a result, there is a critical gap in the availability of assistive technologies that seamlessly integrate with the user's natural abilities and enhance their capacity to interact with the environment. The proposed research seeks to address these challenges by developing a state-of-the-art multimodal assistive robotic system. By incorporating eye-tracking technology for precise control of a robotic arm and implementing mouth gesture-based gripping, the system aims to provide an intuitive and hands-free solution for users with upper limb amputations or paralysis. The research endeavors to bridge the existing gap in assistive technologies, offering a tailored and efficient solution that significantly improves the daily lives of individuals facing upper limb mobility challenges. Through a comprehensive exploration of user needs, technology integration, and rigorous evaluation, this research aims to contribute to the advancement of assistive robotics, ultimately empowering individuals with upper limb impairments to regain control,","The scope of the project is assistive robotic system designed to support individuals with upper limb amputations or paralysis. The system leverages multimodal human-robot interaction, integrating eye-tracking technology for precise control of a robotic arm via intuitive eye movements. Additionally, the robotic hand's gripping functionality is seamlessly regulated through mouth gestures.","1. Reduce operational complexity and improve efficiency.
2. Implement intelligent AI-based functionalities.
3. Develop a scalable and maintainable solution.
4. Improve system performance and reliability.
5. Improve tracking accuracy and operational visibility.","Eye and Mouth Movement Controlled Robot Arm: Enabling Independence and Accessibility for Individuals with Disabilities.. This research presents an innovative assistive robotic system designed to aid individuals with upper limb amputations or paralysis by harnessing the power of multimodal human-robot interaction. The system integrates eye-tracking technology to enable precise control of a robotic arm through intuitive eye movements, catering to the specific needs of users facing upper limb mobility challenges. Additionally, the gripping functionality of the robotic hand is seamlessly regulated through mouth gestures, providing a hands-free approach for users with limited or no arm functionality. The primary objective of this research is to enhance the independence and daily living capabilities of individuals with upper limb impairments by offering an intuitive and efficient control mechanism. By focusing on the unique needs of this user group, the project aims to contribute to the development of assistive technologies that empower users to perform a variety of tasks with greater ease and autonomy. The evaluation of the proposed multimodal assistive robotic system will involve user trials and assessments, with a particular emphasis on user satisfaction, system responsiveness, and the practicality of the designed interface for individuals facing upper limb mobility challenges. The research aspires to make significant strides in the field of assistive robotics, offering a promising avenue for improved human-robot interaction tailored to the specific needs of users with upper limb amputations or paralysis.. Innovations in robotics and assistive technology have opened new avenues for improving the lives of individuals with physical disabilities, particularly those facing upper limb amputations or paralysis. Despite significant advancements, challenges persist in providing intuitive and efficient solutions that cater to the diverse needs of this user group. Addressing these challenges requires a multifaceted approach that combines cutting-edge technology with user-centric design principles. This introduction sets the stage for a groundbreaking project focused on developing a multimodal assistive robotic system tailored to the unique requirements of individuals with upper limb impairments. By harnessing the power of eye-tracking technology and mouth gesture recognition, the project aims to create an intuitive and empowering interface that enhances users' independence and functionality in their daily lives. The following sections will delve into the motivations behind this project, the background context informing its development, the specific objectives guiding its implementation, and the anticipated outcomes that hold the promise of transforming the landscape of assistive technology for individuals facing upper limb mobility challenges. Through a holistic approach encompassing research, design, implementation, and evaluation, this project endeavors to make a meaningful and lasting impact on the lives of its intended beneficiaries.",eye and mouth movement controlled robot arm enabling independence and accessibility for individuals with disabilities.. this research presents an innovative assistive robotic system designed to aid individuals with upper limb amputations or paralysis by harnessing the power of multimodal human-robot interaction. the system integrates eye-tracking technology to enable precise control of a robotic arm through intuitive eye movements catering to the specific needs of users facing upper limb mobility challenges. additionally the gripping functionality of the robotic hand is seamlessly regulated through mouth gestures providing a hands-free approach for users with limited or no arm functionality. the primary objective of this research is to enhance the independence and daily living capabilities of individuals with upper limb impairments by offering an intuitive and efficient control mechanism. by focusing on the unique needs of this user group the project aims to contribute to the development of assistive technologies that empower users to perform a variety of tasks with greater ease and autonomy. the evaluation of the proposed multimodal assistive robotic system will involve user trials and assessments with a particular emphasis on user satisfaction system responsiveness and the practicality of the designed interface for individuals facing upper limb mobility challenges. the research aspires to make significant strides in the field of assistive robotics offering a promising avenue for improved human-robot interaction tailored to the specific needs of users with upper limb amputations or paralysis.. innovations in robotics and assistive technology have opened new avenues for improving the lives of individuals with physical disabilities particularly those facing upper limb amputations or paralysis. despite significant advancements challenges persist in providing intuitive and efficient solutions that cater to the diverse needs of this user group. addressing these challenges requires a multifaceted approach that combines cutting-edge technology with user-centric design principles. this introduction sets the stage for a groundbreaking project focused on developing a multimodal assistive robotic system tailored to the unique requirements of individuals with upper limb impairments. by harnessing the power of eye-tracking technology and mouth gesture recognition the project aims to create an intuitive and empowering interface that enhances users independence and functionality in their daily lives. the following sections will delve into the motivations behind this project the background context informing its development the specific objectives guiding its implementation and the anticipated outcomes that hold the promise of transforming the landscape of assistive technology for individuals facing upper limb mobility challenges. through a holistic approach encompassing research design implementation and evaluation this project endeavors to make a meaningful and lasting impact on the lives of its intended beneficiaries.,426,"['multimodal assistive robotic', 'movement controlled robot', 'mouth movement controlled', 'assistive robotic system', 'individuals facing upper', 'limb mobility challenges', 'upper limb amputations', 'controlled robot arm', 'upper limb mobility', 'robot arm enabling', 'users facing upper', 'facing upper limb']",95.82
93,,Face Mask Detection,"Taher Mostafa Abdel Hamid Elsheikh, Abdallah Adel Ibrahim Elsebaey, Ezzat Yasser Ezzat Afifi, Reem Adel Abdallah Abdelazim, Nada Ibrahim Mohamed Mostafa, Shaimaa Ibrahim Salama",2022,"The COVID-19 pandemic has necessitated the use of face masks in public areas to reduce virus transmission. This project develops an IoT-enabled smart door system that utilizes computer vision and deep learning to detect whether individuals are wearing face masks and to monitor their body temperature. Using a Convolutional Neural Network (CNN) with the MobileNetV2 architecture, the system achieves high accuracy in real-time mask detection. If a person is not wearing a mask or has an abnormal body temperature, the system alerts authorities and controls door access, providing a cost-effective and reliable solution for public safety in locations such as hospitals, schools, and airports.","This project is a smart entry system designed to mitigate the spread of COVID-It integrates AI-based face mask detection with IoT hardware to monitor individuals at building entrances. The system uses a camera to capture video streams, processes them through a trained CNN model to classify mask usage, and employs a non-contact sensor to check body temperature. Based on these inputs, the system triggers alerts via email or mobile notifications and controls a physical gate or door mechanism to ensure only compliant individuals enter.","The COVID-19 pandemic has created a global health crisis where the lack of consistent face mask usage and temperature monitoring in public spaces significantly increases the risk of virus transmission, necessitating an automated, reliable, and digitalized scanning solution.","An IoT-enabled smart door system that combines deep learning (CNN/MobileNetV2) for real-time face mask detection with hardware sensors for body temperature monitoring, automatically managing entry based on safety compliance.","1. Implement intelligent AI-based functionalities.
2. Implement modern technologies and best practices.
3. Reduce operational complexity and improve efficiency.
4. Create a mobile-friendly and accessible application.
5. Enhance user experience and usability.
6. Develop a scalable and maintainable solution.
7. Improve mobile application usability and performance.
8. Support future scalability and feature expansion.","Face Mask Detection. The COVID-19 pandemic has necessitated the use of face masks in public areas to reduce virus transmission. This project develops an IoT-enabled smart door system that utilizes computer vision and deep learning to detect whether individuals are wearing face masks and to monitor their body temperature. Using a Convolutional Neural Network (CNN) with the MobileNetV2 architecture, the system achieves high accuracy in real-time mask detection. If a person is not wearing a mask or has an abnormal body temperature, the system alerts authorities and controls door access, providing a cost-effective and reliable solution for public safety in locations such as hospitals, schools, and airports.. This project is a smart entry system designed to mitigate the spread of COVID-It integrates AI-based face mask detection with IoT hardware to monitor individuals at building entrances. The system uses a camera to capture video streams, processes them through a trained CNN model to classify mask usage, and employs a non-contact sensor to check body temperature. Based on these inputs, the system triggers alerts via email or mobile notifications and controls a physical gate or door mechanism to ensure only compliant individuals enter.",face mask detection. the covid-19 pandemic has necessitated the use of face masks in public areas to reduce virus transmission. this project develops an iot-enabled smart door system that utilizes computer vision and deep learning to detect whether individuals are wearing face masks and to monitor their body temperature. using a convolutional neural network cnn with the mobilenetv2 architecture the system achieves high accuracy in real-time mask detection. if a person is not wearing a mask or has an abnormal body temperature the system alerts authorities and controls door access providing a cost-effective and reliable solution for public safety in locations such as hospitals schools and airports.. this project is a smart entry system designed to mitigate the spread of covid-it integrates ai-based face mask detection with iot hardware to monitor individuals at building entrances. the system uses a camera to capture video streams processes them through a trained cnn model to classify mask usage and employs a non-contact sensor to check body temperature. based on these inputs the system triggers alerts via email or mobile notifications and controls a physical gate or door mechanism to ensure only compliant individuals enter.,191,"['reduce virus transmission', 'pandemic has necessitated', 'real-time mask detection', 'face mask detection', 'wearing face masks', 'ai-based face mask', 'body temperature']",100.0
94,,Fair Electricity Distribution,"Ahmed Wael Mostafa,
Youssef Samir Adel,
Karim Hossam Fathy,
Omar Reda Ibrahim,
Mahmoud Tamer Ali,
Ziad Khaled Hassan,
Mazen Ahmed Sherif,
Seif Mohamed Yehia",2015,"The Fair Electricity Distribution (FED) system addresses the chronic issues of electricity outages and inefficient meter reading in Egypt. By implementing a system that records consumption in real-time and transmits data to an online server, the project enables both the electricity company and the consumer to monitor usage, manage balances, and reduce consumption, thereby improving grid stability and billing accuracy.","The Fair Electricity Distribution (FED) project is an integrated smart grid solution designed to modernize electricity management. It features an Android application that allows users to track their daily electricity consumption, receive alerts about usage, control home power remotely, and pay bills digitally. For utility companies, it provides automated remote meter reading, eliminating the need for manual site visits and reducing billing disputes.","Electricity companies face significant challenges including frequent power outages due to high loads, difficulty in reading meters in remote areas, lack of consumer awareness regarding their actual energy usage, and inefficiencies in the billing and collection process.","The FED system proposes an automated smart metering infrastructure that sends consumption data to a central server. This allows for real-time monitoring, remote power control, automated billing, and consumer-facing mobile tools to help users manage their energy consumption and costs effectively.","1. Improve workflow and management efficiency.
2. Enhance user experience and usability.
3. Provide accurate and reliable functionality.
4. Support future scalability and feature expansion.
5. Reduce operational complexity and improve efficiency.
6. Improve overall productivity and workflow optimization.
7. Develop a scalable and maintainable solution.
8. Improve decision-making using artificial intelligence techniques.","Fair Electricity Distribution. The Fair Electricity Distribution (FED) system addresses the chronic issues of electricity outages and inefficient meter reading in Egypt. By implementing a system that records consumption in real-time and transmits data to an online server, the project enables both the electricity company and the consumer to monitor usage, manage balances, and reduce consumption, thereby improving grid stability and billing accuracy.. The Fair Electricity Distribution (FED) project is an integrated smart grid solution designed to modernize electricity management. It features an Android application that allows users to track their daily electricity consumption, receive alerts about usage, control home power remotely, and pay bills digitally. For utility companies, it provides automated remote meter reading, eliminating the need for manual site visits and reducing billing disputes.",fair electricity distribution. the fair electricity distribution fed system addresses the chronic issues of electricity outages and inefficient meter reading in egypt. by implementing a system that records consumption in real-time and transmits data to an online server the project enables both the electricity company and the consumer to monitor usage manage balances and reduce consumption thereby improving grid stability and billing accuracy.. the fair electricity distribution fed project is an integrated smart grid solution designed to modernize electricity management. it features an android application that allows users to track their daily electricity consumption receive alerts about usage control home power remotely and pay bills digitally. for utility companies it provides automated remote meter reading eliminating the need for manual site visits and reducing billing disputes.,126,"['modernize electricity management', 'fair electricity distribution', 'electricity distribution fed', 'inefficient meter reading', 'distribution fed project', 'improving grid stability', 'distribution fed system', 'usage manage balances', 'fed system addresses', 'monitor usage manage']",100.0
95,,FakeFinder,"Eslam Ashraf Gaber Hassan, Eslam Mohamed Mohamed Abd-Alghany, Abdulrahman Ibrahim Mohamady Ibrahim, Mohamed Osama Ibrahim Mohamed, Mohamed Atef Ibrahim Ahmed",2023,"With rapid progress in recent years, the techniques that generate and manipulate multimedia content can now provide a very advanced level of realism. The line between real and synthetic media has become very thin. This project presents an analysis of methods for verifying the integrity of visual media, specifically focusing on the detection of manipulated images and videos. We propose an automated benchmark for facial manipulation detection based on DeepFakes, Face2Face, FaceSwap, and NeuralTextures. Our research demonstrates that using domain-specific knowledge and deep learning models improves forgery detection with high accuracy, outperforming human observers.","FakeFinder is a web-based application designed to detect manipulated facial images. By leveraging advanced deep learning techniques, specifically Convolutional Neural Networks (CNNs), the system analyzes uploaded images to determine their authenticity. The project aims to combat the spread of misinformation, identity theft, and extortion crimes by providing a reliable tool for users to verify if a facial image has been tampered with.","The rise of social media and advanced AI-powered tools has made it increasingly easy to create realistic fake images and videos. This manipulation poses significant security threats, including identity theft, fraud, defamation, and the spread of misinformation, making it difficult for ordinary users to distinguish between real and synthetic content.","The project proposes a machine learning and deep learning-based web application that utilizes CNN models trained on large datasets of manipulated and genuine facial images. The system provides an automated, user-friendly interface that allows individuals to verify the authenticity of images, thereby protecting users from potential extortion and deception.","1. Implement intelligent AI-based functionalities.
2. Provide accurate and reliable functionality.
3. Enhance user experience and usability.
4. Improve accessibility across different devices and platforms.
5. Generate accurate analytical insights and visualizations.
6. Improve overall productivity and workflow optimization.
7. Reduce operational complexity and improve efficiency.
8. Implement modern technologies and best practices.","FakeFinder. With rapid progress in recent years, the techniques that generate and manipulate multimedia content can now provide a very advanced level of realism. The line between real and synthetic media has become very thin. This project presents an analysis of methods for verifying the integrity of visual media, specifically focusing on the detection of manipulated images and videos. We propose an automated benchmark for facial manipulation detection based on DeepFakes, Face2Face, FaceSwap, and NeuralTextures. Our research demonstrates that using domain-specific knowledge and deep learning models improves forgery detection with high accuracy, outperforming human observers.. FakeFinder is a web-based application designed to detect manipulated facial images. By leveraging advanced deep learning techniques, specifically Convolutional Neural Networks (CNNs), the system analyzes uploaded images to determine their authenticity. The project aims to combat the spread of misinformation, identity theft, and extortion crimes by providing a reliable tool for users to verify if a facial image has been tampered with.",fakefinder. with rapid progress in recent years the techniques that generate and manipulate multimedia content can now provide a very advanced level of realism. the line between real and synthetic media has become very thin. this project presents an analysis of methods for verifying the integrity of visual media specifically focusing on the detection of manipulated images and videos. we propose an automated benchmark for facial manipulation detection based on deepfakes face2face faceswap and neuraltextures. our research demonstrates that using domain-specific knowledge and deep learning models improves forgery detection with high accuracy outperforming human observers.. fakefinder is a web-based application designed to detect manipulated facial images. by leveraging advanced deep learning techniques specifically convolutional neural networks cnns the system analyzes uploaded images to determine their authenticity. the project aims to combat the spread of misinformation identity theft and extortion crimes by providing a reliable tool for users to verify if a facial image has been tampered with.,157,"['manipulate multimedia content', 'techniques that generate', 'generate and manipulate', 'fakefinder. with rapid', 'years the techniques', 'progress in recent', 'level of realism', 'rapid progress', 'advanced level', 'deep learning', 'recent years']",96.66
96,,Fall Detection for Elder People,"Abd Elrahman Ashraf Gharib, Maha Fathy Mahrous, Mai Elsayed Salem, Mostafa Ahmed Mahmoud, Mahasen Safwat Elsayed, Mohamed Abbas Mohamed",2017,"Hospitals and nursing homes are experiencing a simultaneous increase in injuries due to falls and a decrease in qualified staff hires. More than 16000 elderly patients die because of injuries sustained from falls each year and the severity of the issue is exacerbated by the staff-to patient ratio. Solving the problem involves implementing preventative measures that will minimize incidents leading to injury without necessitating a larger staff. The project used in conjunction with a current product that aims to prevent falls from ever occurring, like the sleep safe bed, can help decrease many of the problems. During hours when there is a smaller on-call staff, such as at night, the patient and the personnel have the option of activating the system to detect falls. Camera is strategically placed, depending on the patient's privacy concerns and desired level of safety, to record movement. A feed of the video is continuously transmitted to the local computer on the network. Where the data is analyzed and processed to determine if a fall has occurred and whether it medical assistance should be sent. The computer can differentiate between different types of movements by looking at certain conditions and if the analyzed activity fulfills the criteria. If help is necessary, an alarm is sent to nurse's station in order to alert staff.","This project is a computer vision-based monitoring system designed to detect falls among elderly patients in hospitals or nursing homes. By analyzing video feeds in real-time, the system identifies abnormal movements or sudden changes in orientation that indicate a fall, subsequently triggering an automated alarm to notify medical staff for rapid intervention.","Elderly patients frequently suffer from falls in healthcare settings, leading to severe injuries or death, a situation worsened by high patient-to-staff ratios and limited monitoring capabilities during off-peak hours.","A computer vision system that continuously monitors patient movement via strategically placed cameras, processes the video data to distinguish between normal activity and falls, and automatically alerts nursing staff when a fall is detected.","1. Support future scalability and feature expansion.
2. Improve decision-making using artificial intelligence techniques.
3. Improve overall productivity and workflow optimization.
4. Improve system performance and reliability.
5. Implement intelligent AI-based functionalities.
6. Provide accurate and reliable functionality.
7. Enhance user experience and usability.
8. Implement modern technologies and best practices.","Fall Detection for Elder People. Hospitals and nursing homes are experiencing a simultaneous increase in injuries due to falls and a decrease in qualified staff hires. More than 16000 elderly patients die because of injuries sustained from falls each year and the severity of the issue is exacerbated by the staff-to patient ratio. Solving the problem involves implementing preventative measures that will minimize incidents leading to injury without necessitating a larger staff. The project used in conjunction with a current product that aims to prevent falls from ever occurring, like the sleep safe bed, can help decrease many of the problems. During hours when there is a smaller on-call staff, such as at night, the patient and the personnel have the option of activating the system to detect falls. Camera is strategically placed, depending on the patient's privacy concerns and desired level of safety, to record movement. A feed of the video is continuously transmitted to the local computer on the network. Where the data is analyzed and processed to determine if a fall has occurred and whether it medical assistance should be sent. The computer can differentiate between different types of movements by looking at certain conditions and if the analyzed activity fulfills the criteria. If help is necessary, an alarm is sent to nurse's station in order to alert staff.. This project is a computer vision-based monitoring system designed to detect falls among elderly patients in hospitals or nursing homes. By analyzing video feeds in real-time, the system identifies abnormal movements or sudden changes in orientation that indicate a fall, subsequently triggering an automated alarm to notify medical staff for rapid intervention.",fall detection for elder people. hospitals and nursing homes are experiencing a simultaneous increase in injuries due to falls and a decrease in qualified staff hires. more than 16000 elderly patients die because of injuries sustained from falls each year and the severity of the issue is exacerbated by the staff-to patient ratio. solving the problem involves implementing preventative measures that will minimize incidents leading to injury without necessitating a larger staff. the project used in conjunction with a current product that aims to prevent falls from ever occurring like the sleep safe bed can help decrease many of the problems. during hours when there is a smaller on-call staff such as at night the patient and the personnel have the option of activating the system to detect falls. camera is strategically placed depending on the patient s privacy concerns and desired level of safety to record movement. a feed of the video is continuously transmitted to the local computer on the network. where the data is analyzed and processed to determine if a fall has occurred and whether it medical assistance should be sent. the computer can differentiate between different types of movements by looking at certain conditions and if the analyzed activity fulfills the criteria. if help is necessary an alarm is sent to nurse s station in order to alert staff.. this project is a computer vision-based monitoring system designed to detect falls among elderly patients in hospitals or nursing homes. by analyzing video feeds in real-time the system identifies abnormal movements or sudden changes in orientation that indicate a fall subsequently triggering an automated alarm to notify medical staff for rapid intervention.,276,"['staff-to patient ratio', 'qualified staff hires', 'elderly patients die', 'detection for elder', 'fall detection', 'elder people', 'injuries due']",100.0
97,,Fallen Detection,"Ahmed Mostafa Abdallah, Fathy Tarek Ali, Mohamed Ahmed Abdel-Mohsen, Mohamed Belal Abdel-Majeed, Mahmoud Ahmed Yaseen, Mahmoud Ashraf Ali",2022,"Fall detection of the elderly is a major public health problem. This project is a survey of systems, algorithms, and sensors for the automatic early detection of the fall of elderly persons. It points out the difficulty to compare the performances of the different systems due to the lack of a common framework. In this paper, we develop a low-cost fall detection system through a Raspberry Pi module to exactly detect an event when an accidental fall occurs. The system uses acceleration and pose estimation to detect early fall events. If a fall is detected, the system sends an alert message along with location information to the responsible person.","This project presents a low-cost, vision-based fall detection system designed for the elderly. By utilizing a Raspberry Pi and a camera, the system monitors individuals in a static environment without requiring them to wear any devices. It employs pose estimation and machine learning (SVM) to distinguish between accidental falls and normal activities, triggering an automated alert to caregivers via a mobile application integrated with Firebase.","Existing wearable and non-wearable fall detectors are often unreliable, prone to false alarms, require maintenance, or are uncomfortable for elderly users. Current vision-based systems are often expensive, lack portability, and struggle to differentiate between accidental falls and normal activities like lying down or sleeping, leading to high false-positive rates.","A low-cost, vision-based system using a Raspberry Pi 3 and a camera module. The solution implements pose estimation to track body landmarks and uses a Support Vector Machine (SVM) algorithm to classify movement patterns. When a fall is detected, the system sends a real-time notification to a caregiver's mobile application via Firebase.","1. Improve patient monitoring and healthcare management.
2. Improve mobile application usability and performance.
3. Improve system performance and reliability.
4. Implement modern technologies and best practices.
5. Create a mobile-friendly and accessible application.
6. Provide accurate and reliable functionality.
7. Improve overall productivity and workflow optimization.
8. Develop a scalable and maintainable solution.","Fallen Detection. Fall detection of the elderly is a major public health problem. This project is a survey of systems, algorithms, and sensors for the automatic early detection of the fall of elderly persons. It points out the difficulty to compare the performances of the different systems due to the lack of a common framework. In this paper, we develop a low-cost fall detection system through a Raspberry Pi module to exactly detect an event when an accidental fall occurs. The system uses acceleration and pose estimation to detect early fall events. If a fall is detected, the system sends an alert message along with location information to the responsible person.. This project presents a low-cost, vision-based fall detection system designed for the elderly. By utilizing a Raspberry Pi and a camera, the system monitors individuals in a static environment without requiring them to wear any devices. It employs pose estimation and machine learning (SVM) to distinguish between accidental falls and normal activities, triggering an automated alert to caregivers via a mobile application integrated with Firebase.",fallen detection. fall detection of the elderly is a major public health problem. this project is a survey of systems algorithms and sensors for the automatic early detection of the fall of elderly persons. it points out the difficulty to compare the performances of the different systems due to the lack of a common framework. in this paper we develop a low-cost fall detection system through a raspberry pi module to exactly detect an event when an accidental fall occurs. the system uses acceleration and pose estimation to detect early fall events. if a fall is detected the system sends an alert message along with location information to the responsible person.. this project presents a low-cost vision-based fall detection system designed for the elderly. by utilizing a raspberry pi and a camera the system monitors individuals in a static environment without requiring them to wear any devices. it employs pose estimation and machine learning svm to distinguish between accidental falls and normal activities triggering an automated alert to caregivers via a mobile application integrated with firebase.,176,"['vision-based fall detection', 'automatic early detection', 'detection system designed', 'low-cost fall detection', 'public health problem', 'major public health', 'fallen detection', 'pose estimation']",99.5
98,,Fetal health classification using machine learning,"Alaa Karem Mahmoud Ibraheem, Mohamed Bahgat Nabawy, Nada Mohamed Mohamed Abo-ElFetooh, Mostafa Mahmoud Ahmed",2023,"Fetal death is one of the major problems facing medicine in the current era for understandable and incomprehensible reasons. One of the most common causes that cause the death of the fetus in the first months is problems that occur in the heart of the fetus, and as we know that the heart of the fetus begins to form in the third week of pregnancy; It begins to palpitate in the fifth week of pregnancy; Its growth is completed in the seventh week of pregnancy; Then some heart problems begin to appear in some fetuses, such as congenital heart defects, which, if not discovered quickly, may cause complications and lead to the death of the fetus. In this project, we aim to detect heart diseases that the fetus may be exposed to and that can threaten its life early, diagnose it and take the appropriate solution to treat it as soon as possible, so this project describes a system consisting of a website for doctors and the mother of the fetus linked to a database and models based on machine learning and deep learning To discover the symptoms that appear on the child early. By searching on international sites about the most common problems facing the heart of fetuses, we were able to reach the most common problems that threaten the life of the fetus and search for how to save the fetus in any possible way during the nine stages of pregnancy. using sonar of different types or ultrasound waves; It is one of the most important means of modern diagnosis in the world of medicine due to its accuracy, speed of conduct, and ease of examination, and through periodic follow-up of the mother with the specialist doctor and conducting sonar on a regular basis, this helps the treating doctor to make an accurate treatment decision and prevent any complications from occurring, and thus we can be able to From preserving the life of the fetus during the various stages of pregnancy, finally we have integrated our data set with a website to facilitate the examination, and the accuracy of our models reaches 99%. Fetal death is one of the major problems facing medicine in the current era for understandable and incomprehensible reasons. One of the most common causes that cause the death of the fetus in the first months is problems that occur in the heart of the fetus, and as we know that the heart of the fetus begins to form in the third week of pregnancy; It begins to palpitate in the fifth week of pregnancy; Its growth is completed in the seventh week of pregnancy; Then some heart problems begin to appear in some fetuses, such as congenital heart defects, which, if not discovered quickly, may cause complications and lead to the death of the fetus. In this project, we aim to detect heart diseases that the fetus may be exposed to and that can threaten its life early, diagnose it and take the appropriate solution to treat it as soon as possible, so this project describes a system consisting of a website for doctors and the mother of the fetus linked to a database and models based on machine learning and deep learning To discover the symptoms that appear on the child early. By searching on international sites about the most common problems facing the heart of fetuses, we were able to reach the most common problems that threaten the life of the fetus and search for how to save the fetus in any possible way during the nine stages of pregnancy. using sonar of different types or ultrasound waves; It is one of the most important means of modern diagnosis in the world of medicine due to its accuracy, speed of conduct, and ease of examination, and through periodic follow-up of the mother with the specialist doctor and conducting sonar on a regular basis, this helps the treating doctor to make an accurate treatment decision and prevent any complications from occurring, and thus we can be able to From preserving the life of the fetus during the various stages of pregnancy, finally we have integrated our data set with a website to facilitate the examination, and the accuracy of our models reaches 99%.","We don't know what causes most miscarriages, birth defects, and other reproductive problems. If you work with or are exposed to bacteria, viruses, or other infectious agents and have a miscarriage or a baby with a birth defect, we can't always tell if it was caused by exposure to these agents or if it was caused by something else. About one in 33 We don't know what causes most miscarriages, birth defects, and other reproductive problems. If you work with or are exposed to bacteria, viruses, or other infectious agents and have a miscarriage or a baby with a birth defect, we can't always tell if it was caused by exposure to these agents or if it was caused by something else. About one in 3","The death of the fetus in its mother's womb is considered a major problem that negatively affects the health and psyche of the mother in the first place, as the parents are in a difficult state of shock and grief, especially if this is their first fetus, so attention must be paid to the risk factors and causes that lead to the death of the fetus to try to avoid And reduce as much as possible the death of the fetus.

The pregnancy period is considered one of the most sensitive and terrifying periods, due to the many problems that the pregnant woman is exposed to during this stage, and the death of the fetus in the womb is one of the most dangerous and harmful problems. The occurrence of this matter is rare, as it affects 1% of all pregnant women, and there are many reasons behind The occurrence of fetal death in the womb, as it may be a result of a defect in the lining of the uterus, or as a result of infection with some diseases such as diabetes and blood pressure, which can be prevented through periodic follow-up of the safety of pregnancy and the health of the fetus, and this can be detected through the use of ultrasound devices.

The death of the fetus in general inside the mother's womb occurs after the seventh month in the woman, and before that period it is considered an abortion.

Usually, the cause of fetal death is not known precisely, but there are several factors that can lead to the death of the fetus inside the mother's womb, and among these reasons we mention:","According to the problems we mentioned above, we have thought of many solutions that may contribute to solving this problem. As we said before, in the modern era, the internet has become one of the most used things, and there is a suitable user interface between it and the user, so our goal was to find a solution to that problem by using the internet.
In this project, using web","1. Improve overall productivity and workflow optimization.
2. Implement intelligent AI-based functionalities.
3. Improve accessibility across different devices and platforms.
4. Implement modern technologies and best practices.
5. Improve prediction accuracy using machine learning models.
6. Develop a scalable and maintainable solution.
7. Improve system performance and reliability.","Fetal health classification using machine learning. Fetal death is one of the major problems facing medicine in the current era for understandable and incomprehensible reasons. One of the most common causes that cause the death of the fetus in the first months is problems that occur in the heart of the fetus, and as we know that the heart of the fetus begins to form in the third week of pregnancy; It begins to palpitate in the fifth week of pregnancy; Its growth is completed in the seventh week of pregnancy; Then some heart problems begin to appear in some fetuses, such as congenital heart defects, which, if not discovered quickly, may cause complications and lead to the death of the fetus. In this project, we aim to detect heart diseases that the fetus may be exposed to and that can threaten its life early, diagnose it and take the appropriate solution to treat it as soon as possible, so this project describes a system consisting of a website for doctors and the mother of the fetus linked to a database and models based on machine learning and deep learning To discover the symptoms that appear on the child early. By searching on international sites about the most common problems facing the heart of fetuses, we were able to reach the most common problems that threaten the life of the fetus and search for how to save the fetus in any possible way during the nine stages of pregnancy. using sonar of different types or ultrasound waves; It is one of the most important means of modern diagnosis in the world of medicine due to its accuracy, speed of conduct, and ease of examination, and through periodic follow-up of the mother with the specialist doctor and conducting sonar on a regular basis, this helps the treating doctor to make an accurate treatment decision and prevent any complications from occurring, and thus we can be able to From preserving the life of the fetus during the various stages of pregnancy, finally we have integrated our data set with a website to facilitate the examination, and the accuracy of our models reaches 99%. Fetal death is one of the major problems facing medicine in the current era for understandable and incomprehensible reasons. One of the most common causes that cause the death of the fetus in the first months is problems that occur in the heart of the fetus, and as we know that the heart of the fetus begins to form in the third week of pregnancy; It begins to palpitate in the fifth week of pregnancy; Its growth is completed in the seventh week of pregnancy; Then some heart problems begin to appear in some fetuses, such as congenital heart defects, which, if not discovered quickly, may cause complications and lead to the death of the fetus. In this project, we aim to detect heart diseases that the fetus may be exposed to and that can threaten its life early, diagnose it and take the appropriate solution to treat it as soon as possible, so this project describes a system consisting of a website for doctors and the mother of the fetus linked to a database and models based on machine learning and deep learning To discover the symptoms that appear on the child early. By searching on international sites about the most common problems facing the heart of fetuses, we were able to reach the most common problems that threaten the life of the fetus and search for how to save the fetus in any possible way during the nine stages of pregnancy. using sonar of different types or ultrasound waves; It is one of the most important means of modern diagnosis in the world of medicine due to its accuracy, speed of conduct, and ease of examination, and through periodic follow-up of the mother with the specialist doctor and conducting sonar on a regular basis, this helps the treating doctor to make an accurate treatment decision and prevent any complications from occurring, and thus we can be able to From preserving the life of the fetus during the various stages of pregnancy, finally we have integrated our data set with a website to facilitate the examination, and the accuracy of our models reaches 99%.. We don't know what causes most miscarriages, birth defects, and other reproductive problems. If you work with or are exposed to bacteria, viruses, or other infectious agents and have a miscarriage or a baby with a birth defect, we can't always tell if it was caused by exposure to these agents or if it was caused by something else. About one in 33 We don't know what causes most miscarriages, birth defects, and other reproductive problems. If you work with or are exposed to bacteria, viruses, or other infectious agents and have a miscarriage or a baby with a birth defect, we can't always tell if it was caused by exposure to these agents or if it was caused by something else. About one in 3",fetal health classification using machine learning. fetal death is one of the major problems facing medicine in the current era for understandable and incomprehensible reasons. one of the most common causes that cause the death of the fetus in the first months is problems that occur in the heart of the fetus and as we know that the heart of the fetus begins to form in the third week of pregnancy it begins to palpitate in the fifth week of pregnancy its growth is completed in the seventh week of pregnancy then some heart problems begin to appear in some fetuses such as congenital heart defects which if not discovered quickly may cause complications and lead to the death of the fetus. in this project we aim to detect heart diseases that the fetus may be exposed to and that can threaten its life early diagnose it and take the appropriate solution to treat it as soon as possible so this project describes a system consisting of a website for doctors and the mother of the fetus linked to a database and models based on machine learning and deep learning to discover the symptoms that appear on the child early. by searching on international sites about the most common problems facing the heart of fetuses we were able to reach the most common problems that threaten the life of the fetus and search for how to save the fetus in any possible way during the nine stages of pregnancy. using sonar of different types or ultrasound waves it is one of the most important means of modern diagnosis in the world of medicine due to its accuracy speed of conduct and ease of examination and through periodic follow-up of the mother with the specialist doctor and conducting sonar on a regular basis this helps the treating doctor to make an accurate treatment decision and prevent any complications from occurring and thus we can be able to from preserving the life of the fetus during the various stages of pregnancy finally we have integrated our data set with a website to facilitate the examination and the accuracy of our models reaches 99 . fetal death is one of the major problems facing medicine in the current era for understandable and incomprehensible reasons. one of the most common causes that cause the death of the fetus in the first months is problems that occur in the heart of the fetus and as we know that the heart of the fetus begins to form in the third week of pregnancy it begins to palpitate in the fifth week of pregnancy its growth is completed in the seventh week of pregnancy then some heart problems begin to appear in some fetuses such as congenital heart defects which if not discovered quickly may cause complications and lead to the death of the fetus. in this project we aim to detect heart diseases that the fetus may be exposed to and that can threaten its life early diagnose it and take the appropriate solution to treat it as soon as possible so this project describes a system consisting of a website for doctors and the mother of the fetus linked to a database and models based on machine learning and deep learning to discover the symptoms that appear on the child early. by searching on international sites about the most common problems facing the heart of fetuses we were able to reach the most common problems that threaten the life of the fetus and search for how to save the fetus in any possible way during the nine stages of pregnancy. using sonar of different types or ultrasound waves it is one of the most important means of modern diagnosis in the world of medicine due to its accuracy speed of conduct and ease of examination and through periodic follow-up of the mother with the specialist doctor and conducting sonar on a regular basis this helps the treating doctor to make an accurate treatment decision and prevent any complications from occurring and thus we can be able to from preserving the life of the fetus during the various stages of pregnancy finally we have integrated our data set with a website to facilitate the examination and the accuracy of our models reaches 99 .. we don t know what causes most miscarriages birth defects and other reproductive problems. if you work with or are exposed to bacteria viruses or other infectious agents and have a miscarriage or a baby with a birth defect we can t always tell if it was caused by exposure to these agents or if it was caused by something else. about one in 33 we don t know what causes most miscarriages birth defects and other reproductive problems. if you work with or are exposed to bacteria viruses or other infectious agents and have a miscarriage or a baby with a birth defect we can t always tell if it was caused by exposure to these agents or if it was caused by something else. about one in 3,848,"['fetal health classification', 'problems facing medicine', 'congenital heart defects', 'common problems facing', 'major problems facing', 'heart problems begin', 'stages of pregnancy', 'week of pregnancy', 'fetus begins', 'fetal death']",100.0
99,,Find Missing people using Face Recognition,"Ahmed Hamdy Khater Arafa, Eslam Ahmed Mohamed Elabady, Khaled Ayman Abd Elhaleem Soliman, Mohamed Ali Soliman Ali, Mostafa Ali Soliman Ali, Salem Gamal Salem Mohamed",2023,"Our project ""Find Missing People Using Face Recognition"" is an Android application that aims to help users find missing individuals by utilizing advanced facial recognition technology. With this application, users can upload an image of the missing person, along with other relevant details, such as their name, age, and last known location. The uploaded image will then be compared with the images in the system's database using state-of-the-art facial recognition algorithms, which will allow the application to identify and match the missing person's face with a high level of accuracy.","The project is a mobile-based platform designed to assist in the search for missing persons. It leverages facial recognition technology to match uploaded photos of missing individuals against a centralized database. The system aims to provide a faster, more accurate, and accessible alternative to traditional, manual, and time-consuming search methods like door-to-door searches or unorganized social media posts.","The current process for finding missing persons is inefficient, relying on manual reporting, police records, and unorganized social media posts. There is no centralized, easily accessible platform to match missing persons using biometric data, leading to delays and increased emotional and financial burdens on families.","The proposed solution is an Android mobile application that uses advanced facial recognition technology to identify missing persons. By allowing users to upload photos and details, the system automates the matching process against a database, significantly reducing the time required to locate missing individuals from months to minutes.","1. Improve decision-making using artificial intelligence techniques.
2. Implement modern technologies and best practices.
3. Improve mobile application usability and performance.
4. Support future scalability and feature expansion.
5. Reduce operational complexity and improve efficiency.
6. Provide accurate and reliable functionality.","Find Missing people using Face Recognition. Our project ""Find Missing People Using Face Recognition"" is an Android application that aims to help users find missing individuals by utilizing advanced facial recognition technology. With this application, users can upload an image of the missing person, along with other relevant details, such as their name, age, and last known location. The uploaded image will then be compared with the images in the system's database using state-of-the-art facial recognition algorithms, which will allow the application to identify and match the missing person's face with a high level of accuracy.. The project is a mobile-based platform designed to assist in the search for missing persons. It leverages facial recognition technology to match uploaded photos of missing individuals against a centralized database. The system aims to provide a faster, more accurate, and accessible alternative to traditional, manual, and time-consuming search methods like door-to-door searches or unorganized social media posts.",find missing people using face recognition. our project find missing people using face recognition is an android application that aims to help users find missing individuals by utilizing advanced facial recognition technology. with this application users can upload an image of the missing person along with other relevant details such as their name age and last known location. the uploaded image will then be compared with the images in the system s database using state-of-the-art facial recognition algorithms which will allow the application to identify and match the missing person s face with a high level of accuracy.. the project is a mobile-based platform designed to assist in the search for missing persons. it leverages facial recognition technology to match uploaded photos of missing individuals against a centralized database. the system aims to provide a faster more accurate and accessible alternative to traditional manual and time-consuming search methods like door-to-door searches or unorganized social media posts.,156,"['facial recognition technology.', 'facial recognition algorithms', 'advanced facial recognition', 'find missing individuals', 'project find missing', 'users find missing', 'people using face', 'face recognition', 'missing person']",8.08
100,,Fingerprint System,"Ahmed Hani, Amany Ibrahim, Mohamed Ibrahim, Rania Mohamed",2024,"This project presents a robust fingerprint recognition system designed for both verification and identification purposes. By leveraging FPGA technology, the system provides a high-performance, reconfigurable hardware solution for capturing, processing, and matching unique fingerprint patterns to ensure secure authentication.","The project implements a biometric security system that utilizes fingerprint scanning to verify or identify individuals. It operates in two primary modes: Verification, which performs a one-to-one comparison to confirm a claimed identity, and Identification, which performs a one-to-many comparison to determine an unknown user's identity against a stored database. The system is built on FPGA architecture to allow for efficient, hardware-level processing of biometric data.","Traditional security methods like passwords or ID cards can be lost, stolen, or forgotten. There is a need for a more reliable, unique, and non-transferable method of identity verification that is robust against unauthorized access.","The proposed solution is a hardware-accelerated fingerprint recognition system implemented on an FPGA. This approach ensures high-speed feature extraction and matching, providing a secure and reliable biometric authentication mechanism that is difficult to circumvent.","1. Support future scalability and feature expansion.
2. Provide accurate and reliable functionality.
3. Improve system performance and reliability.
4. Improve overall productivity and workflow optimization.
5. Implement modern technologies and best practices.
6. Enhance user experience and usability.
7. Implement secure authentication and authorization mechanisms.
8. Implement intelligent AI-based functionalities.","Fingerprint System. This project presents a robust fingerprint recognition system designed for both verification and identification purposes. By leveraging FPGA technology, the system provides a high-performance, reconfigurable hardware solution for capturing, processing, and matching unique fingerprint patterns to ensure secure authentication.. The project implements a biometric security system that utilizes fingerprint scanning to verify or identify individuals. It operates in two primary modes: Verification, which performs a one-to-one comparison to confirm a claimed identity, and Identification, which performs a one-to-many comparison to determine an unknown user's identity against a stored database. The system is built on FPGA architecture to allow for efficient, hardware-level processing of biometric data.",fingerprint system. this project presents a robust fingerprint recognition system designed for both verification and identification purposes. by leveraging fpga technology the system provides a high-performance reconfigurable hardware solution for capturing processing and matching unique fingerprint patterns to ensure secure authentication.. the project implements a biometric security system that utilizes fingerprint scanning to verify or identify individuals. it operates in two primary modes verification which performs a one-to-one comparison to confirm a claimed identity and identification which performs a one-to-many comparison to determine an unknown user s identity against a stored database. the system is built on fpga architecture to allow for efficient hardware-level processing of biometric data.,108,"['high-performance reconfigurable hardware', 'reconfigurable hardware solution', 'fingerprint recognition system', 'robust fingerprint recognition', 'ensure secure authentication.', 'utilizes fingerprint scanning', 'matching unique fingerprint', 'unique fingerprint patterns', 'recognition system designed', 'leveraging fpga technology', 'biometric security system']",100.0
101,,Fixy,"Omar Mohammed Ibrahim, Mohammed Saad Hassan, Mohammed Elsayed Fathy, Mohammed Abdel Aziz Mohammed, Mohammed Abdelhalim Mohammed, Aya Essam Ali, Mohammed Atef Abdelrahman, Mohammed Ashraf Ezzat",2026,"This project presents the design and development of a smart service marketplace platform that connects customers in need of on-demand services with qualified technicians through a secure, structured, and intelligent workflow. The system aims to address common challenges in traditional service markets, such as lack of trust, inefficient technician selection, payment disputes, and service quality assurance. The proposed platform supports two primary user roles: customers and technicians. Customers can register, create detailed service requests, receive price offers, select suitable technicians, and securely complete payments through an escrow-based payment mechanism. Technicians can register, define their service category, update their location, view nearby service requests, submit fixed-price offers, and receive payments only after service completion is confirmed. An administrative role is included to manage account verification, resolve disputes, monitor system activity, and ensure platform integrity. A key feature of the system is a rule-based technician recommendation module that ranks technicians based on multiple factors, including historical ratings, geographic proximity, service completion history, responsiveness, and reliability metrics. Additionally, the platform integrates artificial intelligence models for rating calculation and anomaly detection to enhance fairness, prevent feedback manipulation, and maintain trust within the marketplace. The system incorporates a comprehensive booking and payment flow, where customer payments are securely held in escrow and released to technicians only after successful service completion or administrative confirmation. Dispute handling mechanisms are implemented to protect both parties and ensure transparent resolution processes. Overall, this project delivers a scalable, secure, and intelligent service management solution that improves service quality, enhances user trust, and optimizes technician selection through data-driven decision-making.","With the rapid advancement of information technology and the widespread use of smart devices, digital platforms have become essential tools for delivering services efficiently and reliably. Many everyday services such as maintenance, repairs, and technical support still rely on traditional methods that suffer from poor organization, lack of transparency, unreliable pricing, and limited trust between customers and service providers. These issues often result in wasted time, inconsistent service quality, and unresolved disputes. This graduation project addresses these challenges by designing and implementing an intelligent service marketplace system that connects customers with qualified technicians through a secure and structured digital platform. The proposed system enables customers to submit service requests, receive offers from nearby technicians, compare options, and complete payments in a safe and transparent manner. At the same time, technicians are provided with a platform to showcase their skills, respond to relevant service requests, and receive fair compensation after successful service completion. The system is designed with multiple user roles, including customers, technicians, and administrators, each with clearly defined responsibilities and access permissions. To enhance trust and service quality, the platform integrates a rating and feedback mechanism, an escrow-based payment process, and administrative dispute management. In addition, the system employs data-driven techniques to support technician recommendation and performance evaluation based on factors such as ratings, proximity, responsiveness, and service history. This project emphasizes system design, analysis, and implementation, following a structured software engineering methodology. Functional and non-functional requirements are carefully analyzed to ensure scalability, security, usability, and reliability. The proposed solution aims to improve the overall service experience, reduce operational inefficiencies, and establish a trustworthy digital environment for both customers and technicians.","Despite the widespread use of digital platforms, many service-based markets such as maintenance, repair, and technical services still suffer from inefficiency, lack of transparency, and poor trust management. Customers often struggle to find reliable technicians, while technicians face difficulties accessing suitable job opportunities in a fair and organized manner., Difficulty in Finding Reliable Service Providers: Customers frequently rely on informal recommendations or unverified sources when searching for technicians. This approach often results in uncertainty regarding service quality, pricing, and reliability, leading to dissatisfaction and repeated service failures., Inefficient Service Request and Communication Process: Traditional service booking methods lack structured workflows for submitting requests, comparing offers, and tracking service progress. Poor communication between customers and technicians can cause delays, misunderstandings, and incomplete service delivery., Lack of Trust and Secure Payment Handling: One of the major challenges in service marketplaces is the absence of secure payment mechanisms. Customers fear paying before service completion, while technicians risk not receiving payment after delivering the service. The lack of escrow systems and dispute management increases financial risk for both parties., Absence of Intelligent Technician Evaluation and Selection: Existing solutions rarely provide intelligent mechanisms for ranking or recommending technicians based on performance, ratings, proximity, and reliability. This makes it difficult for customers to choose the most suitable technician and limits fair competition among service providers., Limited Administrative Control and Dispute Resolution: Many platforms lack effective administrative oversight to manage user verification, resolve disputes, and monitor system integrity. This reduces platform credibility and affects long-term sustainability. This project addresses these challenges by proposing an intelligent, secure, and scalable service marketplace system that streamlines service requests, enhances trust through escrow-based payments, supports data-driven technician recommendation, and provides administrative control to ensure fairness and reliability.","This project is an innovative initiative aimed at improving the efficiency, reliability, and transparency of service-based marketplaces by leveraging modern software technologies. The proposed system provides a digital platform that connects customers with qualified technicians, enabling seamless service requests, intelligent technician selection, and secure service execution. The system utilizes structured workflows and data-driven mechanisms to streamline the service lifecycle, starting from request submission and offer comparison to service completion and payment processing. By incorporating intelligent recommendation techniques, the platform assists customers in selecting the most suitable technicians based on multiple factors such as ratings, service history, proximity, and responsiveness. To enhance trust and reliability, the system implements a secure escrow-based payment model that ensures fair transactions for both customers and technicians. Administrative controls are included to manage user verification, monitor system activity, and resolve disputes effectively. The proposed platform is designed to support both professional technicians and service seekers, fostering a transparent and efficient environment for service delivery.","1. Improve decision-making using artificial intelligence techniques.
2. Implement modern technologies and best practices.
3. Implement intelligent AI-based functionalities.
4. Enhance system security and protect sensitive user data.
5. Support future scalability and feature expansion.
6. Develop a scalable and maintainable solution.
7. Implement secure authentication and authorization mechanisms.
8. Improve workflow and management efficiency.","Fixy. This project presents the design and development of a smart service marketplace platform that connects customers in need of on-demand services with qualified technicians through a secure, structured, and intelligent workflow. The system aims to address common challenges in traditional service markets, such as lack of trust, inefficient technician selection, payment disputes, and service quality assurance. The proposed platform supports two primary user roles: customers and technicians. Customers can register, create detailed service requests, receive price offers, select suitable technicians, and securely complete payments through an escrow-based payment mechanism. Technicians can register, define their service category, update their location, view nearby service requests, submit fixed-price offers, and receive payments only after service completion is confirmed. An administrative role is included to manage account verification, resolve disputes, monitor system activity, and ensure platform integrity. A key feature of the system is a rule-based technician recommendation module that ranks technicians based on multiple factors, including historical ratings, geographic proximity, service completion history, responsiveness, and reliability metrics. Additionally, the platform integrates artificial intelligence models for rating calculation and anomaly detection to enhance fairness, prevent feedback manipulation, and maintain trust within the marketplace. The system incorporates a comprehensive booking and payment flow, where customer payments are securely held in escrow and released to technicians only after successful service completion or administrative confirmation. Dispute handling mechanisms are implemented to protect both parties and ensure transparent resolution processes. Overall, this project delivers a scalable, secure, and intelligent service management solution that improves service quality, enhances user trust, and optimizes technician selection through data-driven decision-making.. With the rapid advancement of information technology and the widespread use of smart devices, digital platforms have become essential tools for delivering services efficiently and reliably. Many everyday services such as maintenance, repairs, and technical support still rely on traditional methods that suffer from poor organization, lack of transparency, unreliable pricing, and limited trust between customers and service providers. These issues often result in wasted time, inconsistent service quality, and unresolved disputes. This graduation project addresses these challenges by designing and implementing an intelligent service marketplace system that connects customers with qualified technicians through a secure and structured digital platform. The proposed system enables customers to submit service requests, receive offers from nearby technicians, compare options, and complete payments in a safe and transparent manner. At the same time, technicians are provided with a platform to showcase their skills, respond to relevant service requests, and receive fair compensation after successful service completion. The system is designed with multiple user roles, including customers, technicians, and administrators, each with clearly defined responsibilities and access permissions. To enhance trust and service quality, the platform integrates a rating and feedback mechanism, an escrow-based payment process, and administrative dispute management. In addition, the system employs data-driven techniques to support technician recommendation and performance evaluation based on factors such as ratings, proximity, responsiveness, and service history. This project emphasizes system design, analysis, and implementation, following a structured software engineering methodology. Functional and non-functional requirements are carefully analyzed to ensure scalability, security, usability, and reliability. The proposed solution aims to improve the overall service experience, reduce operational inefficiencies, and establish a trustworthy digital environment for both customers and technicians.",fixy. this project presents the design and development of a smart service marketplace platform that connects customers in need of on-demand services with qualified technicians through a secure structured and intelligent workflow. the system aims to address common challenges in traditional service markets such as lack of trust inefficient technician selection payment disputes and service quality assurance. the proposed platform supports two primary user roles customers and technicians. customers can register create detailed service requests receive price offers select suitable technicians and securely complete payments through an escrow-based payment mechanism. technicians can register define their service category update their location view nearby service requests submit fixed-price offers and receive payments only after service completion is confirmed. an administrative role is included to manage account verification resolve disputes monitor system activity and ensure platform integrity. a key feature of the system is a rule-based technician recommendation module that ranks technicians based on multiple factors including historical ratings geographic proximity service completion history responsiveness and reliability metrics. additionally the platform integrates artificial intelligence models for rating calculation and anomaly detection to enhance fairness prevent feedback manipulation and maintain trust within the marketplace. the system incorporates a comprehensive booking and payment flow where customer payments are securely held in escrow and released to technicians only after successful service completion or administrative confirmation. dispute handling mechanisms are implemented to protect both parties and ensure transparent resolution processes. overall this project delivers a scalable secure and intelligent service management solution that improves service quality enhances user trust and optimizes technician selection through data-driven decision-making.. with the rapid advancement of information technology and the widespread use of smart devices digital platforms have become essential tools for delivering services efficiently and reliably. many everyday services such as maintenance repairs and technical support still rely on traditional methods that suffer from poor organization lack of transparency unreliable pricing and limited trust between customers and service providers. these issues often result in wasted time inconsistent service quality and unresolved disputes. this graduation project addresses these challenges by designing and implementing an intelligent service marketplace system that connects customers with qualified technicians through a secure and structured digital platform. the proposed system enables customers to submit service requests receive offers from nearby technicians compare options and complete payments in a safe and transparent manner. at the same time technicians are provided with a platform to showcase their skills respond to relevant service requests and receive fair compensation after successful service completion. the system is designed with multiple user roles including customers technicians and administrators each with clearly defined responsibilities and access permissions. to enhance trust and service quality the platform integrates a rating and feedback mechanism an escrow-based payment process and administrative dispute management. in addition the system employs data-driven techniques to support technician recommendation and performance evaluation based on factors such as ratings proximity responsiveness and service history. this project emphasizes system design analysis and implementation following a structured software engineering methodology. functional and non-functional requirements are carefully analyzed to ensure scalability security usability and reliability. the proposed solution aims to improve the overall service experience reduce operational inefficiencies and establish a trustworthy digital environment for both customers and technicians.,531,"['successful service completion', 'service marketplace platform', 'service requests receive', 'intelligent service', 'service quality']",90.95
102,,Flutter-based E-Recruitment and Job Matching System with CV Builder,"Karim Mahmoud, Tarek Ibrahim, Rahma Hamdy",2026,"With the technological development that we have reached at the present time, communication has become easy among the general public, and it was worth doing this to use this communication in employing, so communication between the employer and employee has become in order to receive different jobs has become an imperative and this is what we seek to achieve through our project that aims To achieve communication using mobile applications, and accordingly the idea arose to achieve this for our college and aims to help people that can't create their own CV by helping them by providing a simple way to do that, and the automatically showing jobs that suite their qualifications.",article will present a survey of e-recruiting process and existing recommendation approaches for building personalized recommender systems for candidates/job matching. the fast growth of the Internet caused a matching growth of the amount of available online information that increased the need to expand the ability of users to manage all this information. This encourages a substantial interest in specific research fields and technologies that could benefit the managing of this information overload. The most important fields are Information retrieval and Information filtering. Information retrieval deals with automatically matching users information and Information filtering aims to assist users eliminating unwanted information,"Finding a good job with a good salary and good advantages is very difficult in these days, and finding employees that have the exact requirements that a company want is also a big problem. Most now use smartphones, so an application that serve both of employees and companies is important and should not be abandoned to help this two, and this is what we have implemented in our project Provide the employees with a place that they can create their CV and find jobs that they can apply to, and a place that companies can post their jobs .","Our Flutter application support creating CV and help employees and companies As an employee our flutter app Includes advantages like: Making your CV consistent and well-structured. Same UI and Business Logic in All Platforms. Custom, Animated UI of Any Complexity Available. Get Announcement. You might be able to create a good, well-designed CV. Contact with instructor by messages. A CV Builder helps to focus on important content. Keeping your CV up-to-date. Submit CV for jobs. Applying for job online is much easier. Searching for a suitable job. Determine the available jobs. Easy to use. Apply for a job. As companies our flutter app Includes advantages like: It expedites the hiring process. You can reach a bigger audience. Most job posts and replies appear in real-time. You can make your job ad more dynamic. It's flexible. It's durable and accessible. Displays the right available staff. You may not miss out on great employees. Recommendation system project. You can add new job. It allows confidentiality.","1. Provide accurate and reliable functionality.
2. Implement intelligent AI-based functionalities.
3. Implement modern technologies and best practices.
4. Create a mobile-friendly and accessible application.
5. Support future scalability and feature expansion.","Flutter-based E-Recruitment and Job Matching System with CV Builder. With the technological development that we have reached at the present time, communication has become easy among the general public, and it was worth doing this to use this communication in employing, so communication between the employer and employee has become in order to receive different jobs has become an imperative and this is what we seek to achieve through our project that aims To achieve communication using mobile applications, and accordingly the idea arose to achieve this for our college and aims to help people that can't create their own CV by helping them by providing a simple way to do that, and the automatically showing jobs that suite their qualifications.. article will present a survey of e-recruiting process and existing recommendation approaches for building personalized recommender systems for candidates/job matching. the fast growth of the Internet caused a matching growth of the amount of available online information that increased the need to expand the ability of users to manage all this information. This encourages a substantial interest in specific research fields and technologies that could benefit the managing of this information overload. The most important fields are Information retrieval and Information filtering. Information retrieval deals with automatically matching users information and Information filtering aims to assist users eliminating unwanted information",flutter-based e-recruitment and job matching system with cv builder. with the technological development that we have reached at the present time communication has become easy among the general public and it was worth doing this to use this communication in employing so communication between the employer and employee has become in order to receive different jobs has become an imperative and this is what we seek to achieve through our project that aims to achieve communication using mobile applications and accordingly the idea arose to achieve this for our college and aims to help people that can t create their own cv by helping them by providing a simple way to do that and the automatically showing jobs that suite their qualifications.. article will present a survey of e-recruiting process and existing recommendation approaches for building personalized recommender systems for candidates/job matching. the fast growth of the internet caused a matching growth of the amount of available online information that increased the need to expand the ability of users to manage all this information. this encourages a substantial interest in specific research fields and technologies that could benefit the managing of this information overload. the most important fields are information retrieval and information filtering. information retrieval deals with automatically matching users information and information filtering aims to assist users eliminating unwanted information,222,"['flutter-based e-recruitment', 'suite their qualifications.', 'present time communication', 'automatically showing jobs', 'technological development', 'achieve communication', 'employer and employee', 'job matching system', 'mobile applications', 'providing a simple', 'arose to achieve', 'order to receive', 'seek to achieve', 'general public', 'idea arose']",71.32
103,,FREE HAND MOUSE,"Nancy somaaeil Daood, Merian Nabil Ramzy, Doaa BarbaryAbd Elwaly, Ragda Abdelrehem Attia, Sabah Mahmoud, Sabah Elsaid Elabasy, Sabah Hussen Hussien",2012,"Computers are being used in every aspect of our daily life. Beginning from scientific computation and research, computers are assisting us business, banking, e-commerce, publishing, word processing, database management, communication, traffic control etc... Everyday new applications are being developed benefit the human beings. New area of technology is being developed to overcome the limitation of traditional input, output devices of the computer. One of the major trends in the computer communication is to develop applications using virtual environment where direct interaction to the computers through tradio nal 2D keyboard, pen, or mouse-oriented graphical user interfaces are not suitable. Rather devices that sense body (e.g. hand) position and orientation, direction of gaze, speech and sound, facial expression, galvanic skin response, and other aspects of human behavior or state can be used to model communication between a human and the environment. Significant research efforts are underway to capture human behavior or gesture and develop system for communicating to the medically disabled people, machine controlling, robot controlling, videoconferencing, traffic controlling, etc... Nowadays the majority of the human-computer interaction (HCI) is based on mechanical devices such as keyboards, mouse, joysticks or game pads.",In recent years there has been a growing interest in a class of methods based on computer vision due to its ability to recognize human gestures in a natural way. These methods used as input the images acquired from a camera or from a stereo pair of cameras. That use of only basic input such as mouse and keyboard is limiting the creativity and capabilities of the user. In this project we developed a machine-user interface which implements Free hand mouse using simple computer vision techniques. Interface allows the user to use their hands to control the mouse as well as easily move and open windows that are open on their screen. This interface is simple enough to be run using an ordinary webcam and requires little training. Human-computer interaction (HCI) expanding the ways that people are able to interact with their computers through using simple gesture.,"New area of technology is being developed to overcome the limitation of traditional input, output devices of the computers. One of the major trends in the computer communication is to develop applications using virtual environment where direct interaction to the computers through tradio nal 2D keyboard, pen, or mouse-oriented graphical user interfaces are not suitable. Nowadays the majority of the human-computer interaction (HCI) is based on mechanical devices such as keyboards, mouse, joysticks or game pads. That use of only basic input such as mouse and keyboard is limiting the creativity and capabilities of the user.",In this project we developed a machine-user interface which implements Free hand mouse using simple computer vision techniques. Interface allows the user to use their hands to control the mouse as well as easily move and open windows that are open on their screen. This interface is simple enough to be run using an ordinary webcam and requires little training.,"1. Implement modern technologies and best practices.
2. Reduce operational complexity and improve efficiency.
3. Improve workflow and management efficiency.
4. Improve decision-making using artificial intelligence techniques.
5. Improve accessibility across different devices and platforms.","FREE HAND MOUSE. Computers are being used in every aspect of our daily life. Beginning from scientific computation and research, computers are assisting us business, banking, e-commerce, publishing, word processing, database management, communication, traffic control etc... Everyday new applications are being developed benefit the human beings. New area of technology is being developed to overcome the limitation of traditional input, output devices of the computer. One of the major trends in the computer communication is to develop applications using virtual environment where direct interaction to the computers through tradio nal 2D keyboard, pen, or mouse-oriented graphical user interfaces are not suitable. Rather devices that sense body (e.g. hand) position and orientation, direction of gaze, speech and sound, facial expression, galvanic skin response, and other aspects of human behavior or state can be used to model communication between a human and the environment. Significant research efforts are underway to capture human behavior or gesture and develop system for communicating to the medically disabled people, machine controlling, robot controlling, videoconferencing, traffic controlling, etc... Nowadays the majority of the human-computer interaction (HCI) is based on mechanical devices such as keyboards, mouse, joysticks or game pads.. In recent years there has been a growing interest in a class of methods based on computer vision due to its ability to recognize human gestures in a natural way. These methods used as input the images acquired from a camera or from a stereo pair of cameras. That use of only basic input such as mouse and keyboard is limiting the creativity and capabilities of the user. In this project we developed a machine-user interface which implements Free hand mouse using simple computer vision techniques. Interface allows the user to use their hands to control the mouse as well as easily move and open windows that are open on their screen. This interface is simple enough to be run using an ordinary webcam and requires little training. Human-computer interaction (HCI) expanding the ways that people are able to interact with their computers through using simple gesture.",free hand mouse. computers are being used in every aspect of our daily life. beginning from scientific computation and research computers are assisting us business banking e-commerce publishing word processing database management communication traffic control etc... everyday new applications are being developed benefit the human beings. new area of technology is being developed to overcome the limitation of traditional input output devices of the computer. one of the major trends in the computer communication is to develop applications using virtual environment where direct interaction to the computers through tradio nal 2d keyboard pen or mouse-oriented graphical user interfaces are not suitable. rather devices that sense body e.g. hand position and orientation direction of gaze speech and sound facial expression galvanic skin response and other aspects of human behavior or state can be used to model communication between a human and the environment. significant research efforts are underway to capture human behavior or gesture and develop system for communicating to the medically disabled people machine controlling robot controlling videoconferencing traffic controlling etc... nowadays the majority of the human-computer interaction hci is based on mechanical devices such as keyboards mouse joysticks or game pads.. in recent years there has been a growing interest in a class of methods based on computer vision due to its ability to recognize human gestures in a natural way. these methods used as input the images acquired from a camera or from a stereo pair of cameras. that use of only basic input such as mouse and keyboard is limiting the creativity and capabilities of the user. in this project we developed a machine-user interface which implements free hand mouse using simple computer vision techniques. interface allows the user to use their hands to control the mouse as well as easily move and open windows that are open on their screen. this interface is simple enough to be run using an ordinary webcam and requires little training. human-computer interaction hci expanding the ways that people are able to interact with their computers through using simple gesture.,339,"['human-computer interaction', 'free hand mouse', 'computer vision', 'human behavior']",80.6
105,,Full E-commerce With Recommendation System,"Mohamed Gamal Ali Mohamed Sakr, Ebrahim Mahmoud Ebrahim Goma, Ebrahim Mahmoud Abdel-Latif, Aya Ebrahim Garieb, Doaa Abdel Hadi Ebrahim",2024,"The project is a full-fledged e-commerce platform equipped with a powerful recommendation system. The primary goal of the platform is to provide an engaging and personalized shopping experience to customers while maximizing sales for the business. The platform is built using modern web development technologies and frameworks, ensuring a high level of performance, scalability, and security. The recommendation system is the core feature of the platform, designed to provide personalized product recommendations to each customer based on their browsing and purchase history. The system employs advanced machine learning algorithms and data analysis techniques to understand each customer's preferences and behavior, thus offering highly relevant and accurate recommendations.","This project is a comprehensive e-commerce platform that integrates a sophisticated recommendation engine. It aims to solve the problem of information overload for users by providing tailored product suggestions, thereby improving user engagement, increasing customer loyalty, and driving higher sales for businesses.","E-commerce users often feel overwhelmed by the vast number of products available, making it difficult to find the right items. This lack of personalization leads to decreased user interest and lower conversion rates for businesses.","The development of an e-commerce platform that utilizes machine learning-based recommendation algorithms to analyze user behavior and purchase history, providing personalized product suggestions that simplify the shopping process and increase customer satisfaction.","1. Reduce operational complexity and improve efficiency.
2. Implement intelligent AI-based functionalities.
3. Improve accessibility across different devices and platforms.
4. Enhance system security and protect sensitive user data.
5. Implement modern technologies and best practices.","Full E-commerce With Recommendation System. The project is a full-fledged e-commerce platform equipped with a powerful recommendation system. The primary goal of the platform is to provide an engaging and personalized shopping experience to customers while maximizing sales for the business. The platform is built using modern web development technologies and frameworks, ensuring a high level of performance, scalability, and security. The recommendation system is the core feature of the platform, designed to provide personalized product recommendations to each customer based on their browsing and purchase history. The system employs advanced machine learning algorithms and data analysis techniques to understand each customer's preferences and behavior, thus offering highly relevant and accurate recommendations.. This project is a comprehensive e-commerce platform that integrates a sophisticated recommendation engine. It aims to solve the problem of information overload for users by providing tailored product suggestions, thereby improving user engagement, increasing customer loyalty, and driving higher sales for businesses.",full e-commerce with recommendation system. the project is a full-fledged e-commerce platform equipped with a powerful recommendation system. the primary goal of the platform is to provide an engaging and personalized shopping experience to customers while maximizing sales for the business. the platform is built using modern web development technologies and frameworks ensuring a high level of performance scalability and security. the recommendation system is the core feature of the platform designed to provide personalized product recommendations to each customer based on their browsing and purchase history. the system employs advanced machine learning algorithms and data analysis techniques to understand each customer s preferences and behavior thus offering highly relevant and accurate recommendations.. this project is a comprehensive e-commerce platform that integrates a sophisticated recommendation engine. it aims to solve the problem of information overload for users by providing tailored product suggestions thereby improving user engagement increasing customer loyalty and driving higher sales for businesses.,155,"['personalized product recommendations', 'comprehensive e-commerce platform', 'powerful recommendation system', 'full e-commerce']",78.18
106,,Gestured Robotic Arm,"Mostafa Reda Abo El-ghait, Mostafa Hassan Maher, Mahmoud Mohamed Hamed, Mona Samy Sobhy, Mona Abd Ellatef Sayed",2020,"The project demonstrates the concept of gesture controls for robotic applications. By utilizing a 6DOF robotic arm controlled by an Arduino board, the system enables users to manipulate robots using human hand gestures, eliminating the need for traditional remotes or expensive sensors. The system detects and tracks hand movements using OpenCV and Haar Cascade Classifiers, transmitting control information to the robotic arm via a Bluetooth connection.","This project presents a cost-effective, intuitive method for controlling robotic systems through natural human hand gestures. It integrates computer vision techniques to interpret hand movements in real-time and translates these movements into actionable commands for a 6-degree-of-freedom (6DOF) robotic arm. The system is designed to be modular, allowing the gesture-control interface to be adapted for various other robotic or software applications.","Traditional methods of controlling robots often require complex remote controllers or expensive, specialized sensors, which can be cumbersome and inaccessible for general users.","A gesture-based control system that uses a standard camera to capture hand movements, processes the video feed using OpenCV and Haar Cascade machine learning classifiers to identify gestures, and sends the resulting coordinates to an Arduino-controlled robotic arm via Bluetooth.","1. Enhance user experience and usability.
2. Improve overall productivity and workflow optimization.
3. Implement modern technologies and best practices.
4. Improve system performance and reliability.
5. Reduce operational complexity and improve efficiency.
6. Provide accurate and reliable functionality.
7. Develop a scalable and maintainable solution.
8. Support future scalability and feature expansion.","Gestured Robotic Arm. The project demonstrates the concept of gesture controls for robotic applications. By utilizing a 6DOF robotic arm controlled by an Arduino board, the system enables users to manipulate robots using human hand gestures, eliminating the need for traditional remotes or expensive sensors. The system detects and tracks hand movements using OpenCV and Haar Cascade Classifiers, transmitting control information to the robotic arm via a Bluetooth connection.. This project presents a cost-effective, intuitive method for controlling robotic systems through natural human hand gestures. It integrates computer vision techniques to interpret hand movements in real-time and translates these movements into actionable commands for a 6-degree-of-freedom (6DOF) robotic arm. The system is designed to be modular, allowing the gesture-control interface to be adapted for various other robotic or software applications.",gestured robotic arm. the project demonstrates the concept of gesture controls for robotic applications. by utilizing a 6dof robotic arm controlled by an arduino board the system enables users to manipulate robots using human hand gestures eliminating the need for traditional remotes or expensive sensors. the system detects and tracks hand movements using opencv and haar cascade classifiers transmitting control information to the robotic arm via a bluetooth connection.. this project presents a cost-effective intuitive method for controlling robotic systems through natural human hand gestures. it integrates computer vision techniques to interpret hand movements in real-time and translates these movements into actionable commands for a 6-degree-of-freedom 6dof robotic arm. the system is designed to be modular allowing the gesture-control interface to be adapted for various other robotic or software applications.,130,"['controlling robotic systems', 'hand gestures eliminating', 'robotic arm controlled', 'tracks hand movements', 'gestured robotic arm', 'system enables users', 'human hand gestures', 'natural human hand']",88.1
107,,Government Procurement and Warehouse Management System,"Ahmed Mohamed Shaaban Mohamed Ramadan, Aml Sabry Ahmed Al-Khudari Nassar, Ziad Adel Abdullah Eid, Sohaila Amr Mahmoud Khairy, Safwa Mohamed Ahmed Mohamed, Mahmoud Al-Sayed Abdel Aziz Mahmoud, Mohamed Agami Fikry Qutb, Yasmine Abdel Rahman Mahmoud Sayed",2024,Our project Government Procurement and Warehouse Management talks about the digital transformation the two sub systems: Government Procurement Management and Warehouse Management in accordance with the Egyptian Auctions and Tenders Regulation Law No. 89 of 1998 where all processes that were carried out manually will be converted to electronic using a web-based information system to improve efficiency and accuracy and reduce costs and developed to facilitate material management and delivery and improve planning and inventory tracking. The tool will provide an easy-to-use interface for users and provide detailed reports for data analysis and strategic decision making. It is expected that this project will contribute to improving the university's governmental and educational operations and better achieving the institution's goals,"The government procurement and warehouse system are considered one of the vital systems in organizing and managing government operations. However, these systems may encounter some manual issues that can affect their efficiency and effectiveness. Below are some common problems in government procurement and warehouse system.","The government procurement and warehouse system are considered one of the vital systems in organizing and managing government operations. However, these systems may encounter some manual issues that can affect their efficiency and effectiveness. Below are some common problems in government procurement and warehouse system. Manual system problems: 1- Lack of organization of operations, purchasing management and warehouse management 2- Difficulty communicating with Decision Maker 3- Wasting time and effort due to manual work 4- The possibility of human errors leading to increased chances of administrative errors or manual data entry 5- Difficulty in creating reports 6- Security challenges: You may face challenges related to data security from abroad. 7- Difficulty tracking information. Controlling information manually can be difficult and lead to data loss. 8- Difficulty in creating comprehensive and accurate reports due to manual processes. 9- Difficulty organizing the inventory and ensuring the accuracy of the information. 10- Labor costs may be higher due to the need for additional employees to manage operations. 11- Difficulty in complying with quality and regulatory requirements manually. 12- The difficulty of performing a comprehensive graphical analysis is due to the system's reliance on manual data. 13- Difficulty updating the system manually to keep pace with technological developments and industrial requirements. 14- Difficulty in quality control due to manual processes. Warehouse system problems in previous systems 1- Purchasing warehouse management systems can be expensive, especially for small businesses. 2- The risks of use in some electronics require extensive training for users, which may lead to problems in their adoption. 3- Limited integration, which may include some integration with other systems in the company. 4- The possibility of poor performance in some cases, especially as the volume of data increases. 5- Reliance on an Internet connection in the case of a cloud system, reliance may be on dealing with an Internet connection. 6- Automatic updates may include some problems if they are not fully provided. 7- Security challenges: You may face challenges related to data security from abroad. 8- Difficulty in customizing the solutions: Some solutions may be less customizable to meet the unique needs of the company. 9- Hardware Requirements Some systems may require higher hardware specifications, which causes additional cost.","Our project aimed solve this problem by transform the Government warehouse and purchasing system based on paper and manual work into an integrated digital system. This project will include the development of a custom software that collects and analyzes data related to inventory and purchases, and provides an easy-to-use interface for employees to manage various operations.","1. Develop a scalable and maintainable solution.
2. Improve system performance and reliability.
3. Develop a responsive and user-friendly web application.
4. Implement intelligent AI-based functionalities.
5. Improve overall productivity and workflow optimization.
6. Improve decision-making using artificial intelligence techniques.
7. Reduce operational complexity and improve efficiency.","Government Procurement and Warehouse Management System. Our project Government Procurement and Warehouse Management talks about the digital transformation the two sub systems: Government Procurement Management and Warehouse Management in accordance with the Egyptian Auctions and Tenders Regulation Law No. 89 of 1998 where all processes that were carried out manually will be converted to electronic using a web-based information system to improve efficiency and accuracy and reduce costs and developed to facilitate material management and delivery and improve planning and inventory tracking. The tool will provide an easy-to-use interface for users and provide detailed reports for data analysis and strategic decision making. It is expected that this project will contribute to improving the university's governmental and educational operations and better achieving the institution's goals. The government procurement and warehouse system are considered one of the vital systems in organizing and managing government operations. However, these systems may encounter some manual issues that can affect their efficiency and effectiveness. Below are some common problems in government procurement and warehouse system.",government procurement and warehouse management system. our project government procurement and warehouse management talks about the digital transformation the two sub systems government procurement management and warehouse management in accordance with the egyptian auctions and tenders regulation law no. 89 of 1998 where all processes that were carried out manually will be converted to electronic using a web-based information system to improve efficiency and accuracy and reduce costs and developed to facilitate material management and delivery and improve planning and inventory tracking. the tool will provide an easy-to-use interface for users and provide detailed reports for data analysis and strategic decision making. it is expected that this project will contribute to improving the university s governmental and educational operations and better achieving the institution s goals. the government procurement and warehouse system are considered one of the vital systems in organizing and managing government operations. however these systems may encounter some manual issues that can affect their efficiency and effectiveness. below are some common problems in government procurement and warehouse system.,171,"['government procurement management', 'systems government procurement', 'project government procurement', 'facilitate material management', 'warehouse management system', 'warehouse management talks', 'procurement and warehouse']",100.0
108,,GREEN MARKET (RE Earth),"Ahmed Adel Mohyeldin Ahmed, Youssef Samir Mohamed Ali, Khaled Ahmed Salah Elbadawy, Elsayed Rady Elsayed Abdelhamid, Youssef Selim Noshi Mohammed, Mai Mossad Ragab Mohamed, Manar Hussein Ahmed Hussein, Aia Abdelrahman Ali Abdelrahman, Hagar Abdelfatah Mohamed",2024,"The proposed supermarket system with integrated recycling capabilities aims to create a sustainable and environmentally friendly shopping experience. The system incorporates innovative features that encourage and facilitate recycling practices among customers while streamlining the supermarket operations. The primary goal of the system is to promote recycling by incentivizing and rewarding customers for their eco-conscious behaviours. It achieves this through the implementation of smart recycling stations strategically placed throughout the supermarket. This application is equipped with computer vision mechanisms that can identify and categorize different recyclable materials such as plastic bottles, cans, and paper. Customers are encouraged to deposit their recyclables at the market, and in return, they receive rewards or recycling points that can be redeemed within the supermarket. The recycling system utilizes a user-friendly interface, guiding customers on the proper disposal of items and providing real-time feedback on the environmental impact of their recycling efforts.","Green Market (RE Earth) is a comprehensive supermarket recycling rewards mobile application designed to combat waste mismanagement. By leveraging advanced machine learning and computer vision, the app allows users to scan recyclable items (plastic bottles, cans, paper) via their smartphone camera. The system automatically identifies these items and awards points to the user, which can be redeemed for discounts or purchases within the supermarket, thereby fostering a culture of environmental responsibility and sustainable shopping.","The project addresses the substantial environmental challenge of widespread littering and improper waste disposal of items like plastic bottles, cans, and paper. This mismanagement poses significant threats to public health, marine and terrestrial ecosystems, and contributes to visual pollution, while also representing a missed economic opportunity for resource recovery.","The proposed solution is a mobile application that integrates real-time object detection technology to identify and classify recyclable items. The system incentivizes users to recycle by providing a points-based reward mechanism, where points earned through recycling can be redeemed for discounts at the supermarket, thus creating a circular economy model that benefits both the environment and the consumer.","1. Train and optimize machine learning algorithms.
2. Support future scalability and feature expansion.
3. Provide accurate and reliable functionality.
4. Reduce operational complexity and improve efficiency.
5. Develop a scalable and maintainable solution.
6. Improve decision-making using artificial intelligence techniques.","GREEN MARKET (RE Earth). The proposed supermarket system with integrated recycling capabilities aims to create a sustainable and environmentally friendly shopping experience. The system incorporates innovative features that encourage and facilitate recycling practices among customers while streamlining the supermarket operations. The primary goal of the system is to promote recycling by incentivizing and rewarding customers for their eco-conscious behaviours. It achieves this through the implementation of smart recycling stations strategically placed throughout the supermarket. This application is equipped with computer vision mechanisms that can identify and categorize different recyclable materials such as plastic bottles, cans, and paper. Customers are encouraged to deposit their recyclables at the market, and in return, they receive rewards or recycling points that can be redeemed within the supermarket. The recycling system utilizes a user-friendly interface, guiding customers on the proper disposal of items and providing real-time feedback on the environmental impact of their recycling efforts.. Green Market (RE Earth) is a comprehensive supermarket recycling rewards mobile application designed to combat waste mismanagement. By leveraging advanced machine learning and computer vision, the app allows users to scan recyclable items (plastic bottles, cans, paper) via their smartphone camera. The system automatically identifies these items and awards points to the user, which can be redeemed for discounts or purchases within the supermarket, thereby fostering a culture of environmental responsibility and sustainable shopping.",green market re earth . the proposed supermarket system with integrated recycling capabilities aims to create a sustainable and environmentally friendly shopping experience. the system incorporates innovative features that encourage and facilitate recycling practices among customers while streamlining the supermarket operations. the primary goal of the system is to promote recycling by incentivizing and rewarding customers for their eco-conscious behaviours. it achieves this through the implementation of smart recycling stations strategically placed throughout the supermarket. this application is equipped with computer vision mechanisms that can identify and categorize different recyclable materials such as plastic bottles cans and paper. customers are encouraged to deposit their recyclables at the market and in return they receive rewards or recycling points that can be redeemed within the supermarket. the recycling system utilizes a user-friendly interface guiding customers on the proper disposal of items and providing real-time feedback on the environmental impact of their recycling efforts.. green market re earth is a comprehensive supermarket recycling rewards mobile application designed to combat waste mismanagement. by leveraging advanced machine learning and computer vision the app allows users to scan recyclable items plastic bottles cans paper via their smartphone camera. the system automatically identifies these items and awards points to the user which can be redeemed for discounts or purchases within the supermarket thereby fostering a culture of environmental responsibility and sustainable shopping.,225,"['integrated recycling capabilities', 'environmentally friendly shopping', 'system incorporates innovative', 'supermarket recycling rewards', 'friendly shopping experience', 'proposed supermarket system', 'aims to create', 'green market']",100.0
109,,Gun War: Augmented Reality Game,"Doaa Ahmed Abbas, Esraa Lofty Abd-Alaziz, Hani Abd-Elhadi, Mostafa Mohamed, Yasmeen Elsayed Hassan, Yasmeen Hassan Yasin",2017,"The purpose of this project is to design and implement an interactive single-player first-person shooter game using the Android platform. The game utilizes Augmented Reality (AR) technology to immerse the player within the game world by fixing the game camera to the player's perspective. This document details the development process, system analysis, and the technical challenges overcome during the creation of the application.","Gun War is an interactive mobile game that integrates Augmented Reality to provide an immersive first-person shooter experience. The application leverages smartphone hardware, including cameras and MEMS sensors (accelerometer, GPS, compass), to overlay virtual game elements onto the real-world environment, allowing for dynamic interaction and navigation.","Traditional mobile games often lack physical immersion and spatial awareness. The project addresses the challenge of determining the camera's pose relative to virtual objects in real-time, which is a fundamental requirement for creating a convincing Augmented Reality experience.","The team developed an Android-based AR game that uses marker-based tracking and natural feature detection to anchor virtual objects in the physical environment. By utilizing the device's built-in sensors and camera, the game provides a seamless transition between the real world and the virtual game space.","1. Generate accurate analytical insights and visualizations.
2. Create a mobile-friendly and accessible application.
3. Reduce operational complexity and improve efficiency.
4. Implement intelligent AI-based functionalities.
5. Develop a scalable and maintainable solution.
6. Provide efficient data analysis and reporting features.","Gun War: Augmented Reality Game. The purpose of this project is to design and implement an interactive single-player first-person shooter game using the Android platform. The game utilizes Augmented Reality (AR) technology to immerse the player within the game world by fixing the game camera to the player's perspective. This document details the development process, system analysis, and the technical challenges overcome during the creation of the application.. Gun War is an interactive mobile game that integrates Augmented Reality to provide an immersive first-person shooter experience. The application leverages smartphone hardware, including cameras and MEMS sensors (accelerometer, GPS, compass), to overlay virtual game elements onto the real-world environment, allowing for dynamic interaction and navigation.",gun war augmented reality game. the purpose of this project is to design and implement an interactive single-player first-person shooter game using the android platform. the game utilizes augmented reality ar technology to immerse the player within the game world by fixing the game camera to the player s perspective. this document details the development process system analysis and the technical challenges overcome during the creation of the application.. gun war is an interactive mobile game that integrates augmented reality to provide an immersive first-person shooter experience. the application leverages smartphone hardware including cameras and mems sensors accelerometer gps compass to overlay virtual game elements onto the real-world environment allowing for dynamic interaction and navigation.,115,"['interactive single-player first-person', 'single-player first-person shooter', 'first-person shooter experience', 'integrates augmented reality', 'utilizes augmented reality', 'game utilizes augmented', 'interactive mobile game', 'augmented reality game', 'war augmented reality', 'gun war augmented']",100.0
110,,Hajj Guide based on AR and GPS service,"Ziad Elsayed, Nour Fathy, Habiba Abdallah",2025,"The main goal of our project is to make an android application to help pilgrims to perform Hajj more easy and comfortable. Pilgrim (Hajj) is one of the main pillars of Islam and the journey of a lifetime, which every adult Muslim man and woman desires to perform. Every year about three million pilgrims from all around the world visit Mecca. These people move between different religious sites during the annual pilgrimage, some of them did not know what they are. The aim of the project is to help the user (Pilgrim) to find interesting places surrounding the current whereabouts to help him at easily knowing the places surrounding him by using GPS. Also help reduce or avoid the congestion found in some places of pilgrimage, which does not know anything about the pilgrim's arrivals. It also helps to connect each other pilgrims, I avoid the loss of people in the middle of the crowds of pilgrims. It also allows the user (Pilgrim) to know the rituals of Haj and performed true way to know and not need to carry the books in order to help him to know and to do bored reading process. In addition to other services that help pilgrim such as emergency calls, embassies (their phone numbers and addresses) and Prayer Time. The mobile application is designed for normal users to help users to avoid crowded places and include a step-by-step mini guide to the Hajj rituals, so that you know what steps you should do each day, and what rite to perform. This provides easy way to follow instructions fo","Is a mobile operating system (Os) based on the Linux kernel and currently developed by Google. With a user interface based on direct manipulation, Android is designed primarily for touchscreen mobile devices such as smartphonesand tablet computers, with specialized user interfaces for televisions (Android TV), cars (Android Auto), and wrist watches (Android Wear). The OS uses touch inputs that loosely correspond to real-world actions, like swiping, tapping, pinching, and reverse pinching to manipulate on-screen objects, and a virtual keyboard. Despite being primarily designed for touchscreen input, it has also been used in game consoles, digital cameras, regular PCs, and other electronics. As of 2015, Android has the largest installed base of all operating systems. CinDROID As of July 2013, the Google Play store has had over one million Android applications (""apps"") published, and Over 50 billion applications downloaded. An April-May 2013 survey of mobile application developers found that 71% of them create applications for Android; another 2015 survey found that 40% of full-time professional developers see Android as the ""priority"" target platform, which is more than iOS (37%) or other platforms. At Google i/0 2014, the company","The absence of a dedicated digital system for guiding Hajj pilgrims using augmented reality and GPS technologies creates difficulties in navigation, crowd management, and accessing important information during Hajj rituals. Traditional manual approaches are often inefficient, time-consuming, and prone to confusion, making it difficult for pilgrims to track locations, receive real-time guidance, and access relevant services effectively.","The main goal of our project is to make an android application to help pilgrims to perform Hajj more easy and comfortable. Pilgrim (Hajj) is one of the main pillars of Islam and the journey of a lifetime, which every adult Muslim man and woman desires to perform.","1. Improve decision-making using artificial intelligence techniques.
2. Improve system performance and reliability.
3. Implement intelligent AI-based functionalities.
4. Improve overall productivity and workflow optimization.
5. Create a mobile-friendly and accessible application.
6. Implement modern technologies and best practices.
7. Provide accurate and reliable functionality.","Hajj Guide based on AR and GPS service. The main goal of our project is to make an android application to help pilgrims to perform Hajj more easy and comfortable. Pilgrim (Hajj) is one of the main pillars of Islam and the journey of a lifetime, which every adult Muslim man and woman desires to perform. Every year about three million pilgrims from all around the world visit Mecca. These people move between different religious sites during the annual pilgrimage, some of them did not know what they are. The aim of the project is to help the user (Pilgrim) to find interesting places surrounding the current whereabouts to help him at easily knowing the places surrounding him by using GPS. Also help reduce or avoid the congestion found in some places of pilgrimage, which does not know anything about the pilgrim's arrivals. It also helps to connect each other pilgrims, I avoid the loss of people in the middle of the crowds of pilgrims. It also allows the user (Pilgrim) to know the rituals of Haj and performed true way to know and not need to carry the books in order to help him to know and to do bored reading process. In addition to other services that help pilgrim such as emergency calls, embassies (their phone numbers and addresses) and Prayer Time. The mobile application is designed for normal users to help users to avoid crowded places and include a step-by-step mini guide to the Hajj rituals, so that you know what steps you should do each day, and what rite to perform. This provides easy way to follow instructions fo. Is a mobile operating system (Os) based on the Linux kernel and currently developed by Google. With a user interface based on direct manipulation, Android is designed primarily for touchscreen mobile devices such as smartphonesand tablet computers, with specialized user interfaces for televisions (Android TV), cars (Android Auto), and wrist watches (Android Wear). The OS uses touch inputs that loosely correspond to real-world actions, like swiping, tapping, pinching, and reverse pinching to manipulate on-screen objects, and a virtual keyboard. Despite being primarily designed for touchscreen input, it has also been used in game consoles, digital cameras, regular PCs, and other electronics. As of 2015, Android has the largest installed base of all operating systems. CinDROID As of July 2013, the Google Play store has had over one million Android applications (""apps"") published, and Over 50 billion applications downloaded. An April-May 2013 survey of mobile application developers found that 71% of them create applications for Android; another 2015 survey found that 40% of full-time professional developers see Android as the ""priority"" target platform, which is more than iOS (37%) or other platforms. At Google i/0 2014, the company",hajj guide based on ar and gps service. the main goal of our project is to make an android application to help pilgrims to perform hajj more easy and comfortable. pilgrim hajj is one of the main pillars of islam and the journey of a lifetime which every adult muslim man and woman desires to perform. every year about three million pilgrims from all around the world visit mecca. these people move between different religious sites during the annual pilgrimage some of them did not know what they are. the aim of the project is to help the user pilgrim to find interesting places surrounding the current whereabouts to help him at easily knowing the places surrounding him by using gps. also help reduce or avoid the congestion found in some places of pilgrimage which does not know anything about the pilgrim s arrivals. it also helps to connect each other pilgrims i avoid the loss of people in the middle of the crowds of pilgrims. it also allows the user pilgrim to know the rituals of haj and performed true way to know and not need to carry the books in order to help him to know and to do bored reading process. in addition to other services that help pilgrim such as emergency calls embassies their phone numbers and addresses and prayer time. the mobile application is designed for normal users to help users to avoid crowded places and include a step-by-step mini guide to the hajj rituals so that you know what steps you should do each day and what rite to perform. this provides easy way to follow instructions fo. is a mobile operating system os based on the linux kernel and currently developed by google. with a user interface based on direct manipulation android is designed primarily for touchscreen mobile devices such as smartphonesand tablet computers with specialized user interfaces for televisions android tv cars android auto and wrist watches android wear . the os uses touch inputs that loosely correspond to real-world actions like swiping tapping pinching and reverse pinching to manipulate on-screen objects and a virtual keyboard. despite being primarily designed for touchscreen input it has also been used in game consoles digital cameras regular pcs and other electronics. as of 2015 android has the largest installed base of all operating systems. cindroid as of july 2013 the google play store has had over one million android applications apps published and over 50 billion applications downloaded. an april-may 2013 survey of mobile application developers found that 71 of them create applications for android another 2015 survey found that 40 of full-time professional developers see android as the priority target platform which is more than ios 37 or other platforms. at google i/0 2014 the company,462,"['mobile application', 'places surrounding', 'hajj guide based', 'user pilgrim', 'pilgrim hajj', 'perform hajj']",84.14
111,,Health care and heart disease prediction using wearable device,"Ahmed Ali Abdullah, Yoseff Ashraf Karim, Hazem Ahmed Heshmat, Zyad Ahmed Saad, Mohamed Salah Yoseff",2018,"In order to adapt to the development of the mobile internet, intelligent, small mobile terminal will be the future of development . this paper describes the implementation of data communication between android operating system and pc . besides, this paper also presents some solution of key issues including the event processing of command button and mouse movement involved pc server, etc. to meet the needs of universities and schools in the next generation of learning operation development and education institutions . using this pp (Android based pc controller ), we can control on in pc using an android application, we can send mouse event to control the mouse of computer, we can send character as a keyboard, we can control all media working plus to the PowerPoint and pdf, we can also send the Qr code reader after reading it with other helping application, finally this app can send the sound waves to make the sound appear on the receiver which is the computer or any pc that installed and working the server . finally, an android wireless mouse, keyboard, media, PowerPoint and pdf software based on android operating system on mobile app and java on pc using the wireless. we are hoping to replace similar electronic pointer and achieve long rang wireless control such as joystick .","This project presents a dual-purpose system that integrates health monitoring with remote PC control functionality. It utilizes wearable technology to track heart rate data for disease prediction while simultaneously providing a robust Android-based interface to remotely control computer peripherals, media playback, and presentation software.","There is a lack of integrated systems that combine personal health monitoring with versatile, long-range remote control capabilities for educational and professional environments. Users often require separate devices for health tracking and managing computer-based presentations or media, leading to inefficiency and hardware clutter.","The project implements a comprehensive Android application that communicates with a Java-based PC server to enable remote mouse, keyboard, and media control. Additionally, it incorporates a wearable device module designed to collect heart rate data, which is processed to provide insights into potential heart disease risks.","1. Provide accurate and reliable functionality.
2. Support future scalability and feature expansion.
3. Create a mobile-friendly and accessible application.
4. Enhance healthcare efficiency and accessibility.
5. Improve mobile application usability and performance.
6. Provide interactive educational tools and resources.
7. Improve patient monitoring and healthcare management.","Health care and heart disease prediction using wearable device. In order to adapt to the development of the mobile internet, intelligent, small mobile terminal will be the future of development . this paper describes the implementation of data communication between android operating system and pc . besides, this paper also presents some solution of key issues including the event processing of command button and mouse movement involved pc server, etc. to meet the needs of universities and schools in the next generation of learning operation development and education institutions . using this pp (Android based pc controller ), we can control on in pc using an android application, we can send mouse event to control the mouse of computer, we can send character as a keyboard, we can control all media working plus to the PowerPoint and pdf, we can also send the Qr code reader after reading it with other helping application, finally this app can send the sound waves to make the sound appear on the receiver which is the computer or any pc that installed and working the server . finally, an android wireless mouse, keyboard, media, PowerPoint and pdf software based on android operating system on mobile app and java on pc using the wireless. we are hoping to replace similar electronic pointer and achieve long rang wireless control such as joystick .. This project presents a dual-purpose system that integrates health monitoring with remote PC control functionality. It utilizes wearable technology to track heart rate data for disease prediction while simultaneously providing a robust Android-based interface to remotely control computer peripherals, media playback, and presentation software.",health care and heart disease prediction using wearable device. in order to adapt to the development of the mobile internet intelligent small mobile terminal will be the future of development . this paper describes the implementation of data communication between android operating system and pc . besides this paper also presents some solution of key issues including the event processing of command button and mouse movement involved pc server etc. to meet the needs of universities and schools in the next generation of learning operation development and education institutions . using this pp android based pc controller we can control on in pc using an android application we can send mouse event to control the mouse of computer we can send character as a keyboard we can control all media working plus to the powerpoint and pdf we can also send the qr code reader after reading it with other helping application finally this app can send the sound waves to make the sound appear on the receiver which is the computer or any pc that installed and working the server . finally an android wireless mouse keyboard media powerpoint and pdf software based on android operating system on mobile app and java on pc using the wireless. we are hoping to replace similar electronic pointer and achieve long rang wireless control such as joystick .. this project presents a dual-purpose system that integrates health monitoring with remote pc control functionality. it utilizes wearable technology to track heart rate data for disease prediction while simultaneously providing a robust android-based interface to remotely control computer peripherals media playback and presentation software.,270,"['mobile internet intelligent', 'android operating system', 'intelligent small mobile', 'heart disease prediction', 'wireless mouse keyboard', 'mouse movement involved', 'android wireless mouse', 'small mobile terminal', 'mouse keyboard media', 'powerpoint and pdf', 'send mouse event', 'wearable device', 'health care']",82.46
112,,Health Care Management System,"Mohamed Ragab Abu Zaid, Mohamed Hamdy Hassanein, Mohamed Amin Khattab, Mohamed Khaled Mohamed El Sayed, Adham Mohamed Mostafa, Ahmed Mostafa Ahmed Taha, Omar Mohamed Ahmed Omar",2023,"The medical community is one of the most important parts in our daily life. Nowadays, the medical community is being computerized. We are aiming to make the whole process much easier starting from the patient booking his appointment to doctors, till attending the appointment. In addition, we aim to help the doctors to write their prescriptions online and upload them to the patients. The best part is to help doctors with their diagnoses by using some Machine Learning Models to detect some disease based on the patient analysis.","NABDAHA is an organized Hospital Management website programmed to deal with day-to-day processes and activities. It takes care of patients, doctors, and visitors, providing a profile for every patient with their case history, treatments, prescriptions, and medical reports. It also includes features for booking appointments, viewing doctor profiles, and managing hospital departments through an administrator dashboard.","Hospitals face significant issues with paper-based record-keeping, leading to the loss of patient data, inefficient appointment scheduling, and difficulties for doctors in accessing patient history, which can negatively impact patient health and hospital administration.","The project proposes a centralized, web-based Hospital Management System that digitizes patient records, automates appointment booking, and integrates Machine Learning models to assist doctors in diagnosing diseases and predicting the presence of viruses based on patient data.","1. Train and optimize machine learning algorithms.
2. Support future scalability and feature expansion.
3. Improve patient monitoring and healthcare management.
4. Implement modern technologies and best practices.
5. Improve overall productivity and workflow optimization.
6. Optimize resource allocation and task management.
7. Improve workflow and management efficiency.
8. Develop a responsive and user-friendly web application.","Health Care Management System. The medical community is one of the most important parts in our daily life. Nowadays, the medical community is being computerized. We are aiming to make the whole process much easier starting from the patient booking his appointment to doctors, till attending the appointment. In addition, we aim to help the doctors to write their prescriptions online and upload them to the patients. The best part is to help doctors with their diagnoses by using some Machine Learning Models to detect some disease based on the patient analysis.. NABDAHA is an organized Hospital Management website programmed to deal with day-to-day processes and activities. It takes care of patients, doctors, and visitors, providing a profile for every patient with their case history, treatments, prescriptions, and medical reports. It also includes features for booking appointments, viewing doctor profiles, and managing hospital departments through an administrator dashboard.",health care management system. the medical community is one of the most important parts in our daily life. nowadays the medical community is being computerized. we are aiming to make the whole process much easier starting from the patient booking his appointment to doctors till attending the appointment. in addition we aim to help the doctors to write their prescriptions online and upload them to the patients. the best part is to help doctors with their diagnoses by using some machine learning models to detect some disease based on the patient analysis.. nabdaha is an organized hospital management website programmed to deal with day-to-day processes and activities. it takes care of patients doctors and visitors providing a profile for every patient with their case history treatments prescriptions and medical reports. it also includes features for booking appointments viewing doctor profiles and managing hospital departments through an administrator dashboard.,148,"['health care management', 'care management system', 'medical community', 'medical reports', 'important parts', 'daily life']",100.0
113,,Health Care Prediction using Wearable Devices,"Ahmed Abdel-Badie Ahmed, Mohamed Ali Ibrahim, Aya Tolba Mohamed, Aya Saeed Ibrahim, Sara Ahmed Hagras",2017,"Why??... The heart diseases are dangerous to human life diseases a leading cause of death, according to statistics of the world health organization 20 million Egyptian catch heart diseases, which represent 25% to 40% of the causes of death. Many patients suffering from difficulty remembering everyday appointments. Naturally, the patient does not like to stay in the hospital. Many of People who suffer from heart disease are dead because of the help come late. How??... We proposed a system that helps Heart patients by taking healthy metrics and specify their health condition and body pattern. The system allows patients to perform daily activities, these activities make patient healthy and stable. The system can take healthy metrics, while patients practicing their normal life, anywhere and anytime. The system allows the doctor to track many patients. The system allows the doctor to advice patients.","This chapter introduces the proposed system. Firstly, it mentions the motivation and the reason beyond proposing this system. Secondly, it defines the actual problem that is addressed in the proposed system. Then, the system objectives, features, beneficiaries and stakeholders are mentioned. After that, a general overview of the proposed system is explained. Finally, a brief look about the document structure and organization is mentioned.","In recent years, increasing numbers of heart patient's rate and it is easy that the patient is exposed to danger or death suddenly after a heart attack sudden so it was important for the patient's heart to live with this disease and avoid severe impact","The proposed solution is an integrated health monitoring system that utilizes wearable watch sensors to continuously track a patient's heart rate and vital metrics during their daily activities. In the event of a detected cardiac emergency, the system automatically triggers an alert via a mobile application, notifying nearby contacts and providing the patient's precise location through GPS to ensure timely medical intervention. Additionally, the platform facilitates remote patient management by allowing doctors to monitor health data and provide personalized medical guidance and instructions.","1. Improve patient monitoring and healthcare management.
2. Reduce operational complexity and improve efficiency.
3. Enhance user experience and usability.
4. Improve decision-making using artificial intelligence techniques.
5. Enhance healthcare efficiency and accessibility.
6. Improve system performance and reliability.","Health Care Prediction using Wearable Devices. Why??... The heart diseases are dangerous to human life diseases a leading cause of death, according to statistics of the world health organization 20 million Egyptian catch heart diseases, which represent 25% to 40% of the causes of death. Many patients suffering from difficulty remembering everyday appointments. Naturally, the patient does not like to stay in the hospital. Many of People who suffer from heart disease are dead because of the help come late. How??... We proposed a system that helps Heart patients by taking healthy metrics and specify their health condition and body pattern. The system allows patients to perform daily activities, these activities make patient healthy and stable. The system can take healthy metrics, while patients practicing their normal life, anywhere and anytime. The system allows the doctor to track many patients. The system allows the doctor to advice patients.. This chapter introduces the proposed system. Firstly, it mentions the motivation and the reason beyond proposing this system. Secondly, it defines the actual problem that is addressed in the proposed system. Then, the system objectives, features, beneficiaries and stakeholders are mentioned. After that, a general overview of the proposed system is explained. Finally, a brief look about the document structure and organization is mentioned.",health care prediction using wearable devices. why ... the heart diseases are dangerous to human life diseases a leading cause of death according to statistics of the world health organization 20 million egyptian catch heart diseases which represent 25 to 40 of the causes of death. many patients suffering from difficulty remembering everyday appointments. naturally the patient does not like to stay in the hospital. many of people who suffer from heart disease are dead because of the help come late. how ... we proposed a system that helps heart patients by taking healthy metrics and specify their health condition and body pattern. the system allows patients to perform daily activities these activities make patient healthy and stable. the system can take healthy metrics while patients practicing their normal life anywhere and anytime. the system allows the doctor to track many patients. the system allows the doctor to advice patients.. this chapter introduces the proposed system. firstly it mentions the motivation and the reason beyond proposing this system. secondly it defines the actual problem that is addressed in the proposed system. then the system objectives features beneficiaries and stakeholders are mentioned. after that a general overview of the proposed system is explained. finally a brief look about the document structure and organization is mentioned.,214,"['prediction using wearable', 'health care prediction', 'catch heart diseases', 'wearable devices', 'proposed system']",80.31
114,,health services & medical outcomes monitoring,"Karim Saad, Farah Saad, Mariam Mostafa, Youssef Ibrahim, Rahma Kamel",2020,"Tracking quality of health services and medical outcome of the clinic visits to encourage health seeking behavior among the underprivileged. First of all we would like to explain the main purpose of the System which will provide everything a patient would need in addition to providing external services that will help in making the medical field more easier and comfortable to anyone including all the medical staff from managers, doctors, nurses, employees and even patients, all of them will realize the change that will be provided by these services which include, organized appointments that will lead to uncrowded places everyone has his or her own appointment that can't be earlier or later and that is a commitment they must respect, there won't be any shortage in the human staff or medical instruments that of course will provide a good environment to work in, data of any patient will be as a software copy instead of hardware that will help in making the examination process more easier as after registering the patient will be able to be examined in any location of governmental hospital locations without any prove just confirmation message will be needed to be allowed to examination process also data of any patient like results of examination or rays will be copied to a CD which can be with anyone so that data can't be lost, Cost also play a vital role and an important factor that can effect on the System negative or positive so costs can be in between to help the System to be s",organized appointments that will lead to uncrowded places everyone has his or her own appointment that cant be earlier or later and that is a commitment they must respect. Shortage: there won't be any shortage in the human staff or medical instruments that of course will provide a good environment to work in. Using technology: data of any patient will be as a software copy instead of hardware that will help in making the examination process more easier as after registering the patient will be able to be examined in any location of governmental hospital locations without any prove just confirmation message will be needed to be allowed to examination process also data of any patient like results of examination or rays will be copied to a CD which can be with anyone so that data can't be lost. Communication: Communication also very important whatever internal between departments inside the hospital or between different locations share data it also effect on the System. Cost: The cost won't be an obstacle for anyone so that any category of people can use it and as efficient as the Outpatient clinic.,"Users often face difficulties accessing services and obtaining relevant information quickly and efficiently. Additionally, weak communication channels between key stakeholders can lead to delays, misunderstandings, poor coordination, and reduced overall operational effectiveness.",Tracking quality of health services and medical outcome of the clinic visits to encourage health seeking behavior among the underprivileged. First of all we would like to explain the main purpose of the System which will provide everything a patient would need in addition to providing external services that will help in making the medical field more easier and comfortable to anyone including all t,"1. Improve system performance and reliability.
2. Support future scalability and feature expansion.
3. Implement modern technologies and best practices.
4. Improve patient monitoring and healthcare management.
5. Improve decision-making using artificial intelligence techniques.
6. Reduce operational complexity and improve efficiency.","health services & medical outcomes monitoring. Tracking quality of health services and medical outcome of the clinic visits to encourage health seeking behavior among the underprivileged. First of all we would like to explain the main purpose of the System which will provide everything a patient would need in addition to providing external services that will help in making the medical field more easier and comfortable to anyone including all the medical staff from managers, doctors, nurses, employees and even patients, all of them will realize the change that will be provided by these services which include, organized appointments that will lead to uncrowded places everyone has his or her own appointment that can't be earlier or later and that is a commitment they must respect, there won't be any shortage in the human staff or medical instruments that of course will provide a good environment to work in, data of any patient will be as a software copy instead of hardware that will help in making the examination process more easier as after registering the patient will be able to be examined in any location of governmental hospital locations without any prove just confirmation message will be needed to be allowed to examination process also data of any patient like results of examination or rays will be copied to a CD which can be with anyone so that data can't be lost, Cost also play a vital role and an important factor that can effect on the System negative or positive so costs can be in between to help the System to be s. organized appointments that will lead to uncrowded places everyone has his or her own appointment that cant be earlier or later and that is a commitment they must respect. Shortage: there won't be any shortage in the human staff or medical instruments that of course will provide a good environment to work in. Using technology: data of any patient will be as a software copy instead of hardware that will help in making the examination process more easier as after registering the patient will be able to be examined in any location of governmental hospital locations without any prove just confirmation message will be needed to be allowed to examination process also data of any patient like results of examination or rays will be copied to a CD which can be with anyone so that data can't be lost. Communication: Communication also very important whatever internal between departments inside the hospital or between different locations share data it also effect on the System. Cost: The cost won't be an obstacle for anyone so that any category of people can use it and as efficient as the Outpatient clinic.",health services medical outcomes monitoring. tracking quality of health services and medical outcome of the clinic visits to encourage health seeking behavior among the underprivileged. first of all we would like to explain the main purpose of the system which will provide everything a patient would need in addition to providing external services that will help in making the medical field more easier and comfortable to anyone including all the medical staff from managers doctors nurses employees and even patients all of them will realize the change that will be provided by these services which include organized appointments that will lead to uncrowded places everyone has his or her own appointment that can t be earlier or later and that is a commitment they must respect there won t be any shortage in the human staff or medical instruments that of course will provide a good environment to work in data of any patient will be as a software copy instead of hardware that will help in making the examination process more easier as after registering the patient will be able to be examined in any location of governmental hospital locations without any prove just confirmation message will be needed to be allowed to examination process also data of any patient like results of examination or rays will be copied to a cd which can be with anyone so that data can t be lost cost also play a vital role and an important factor that can effect on the system negative or positive so costs can be in between to help the system to be s. organized appointments that will lead to uncrowded places everyone has his or her own appointment that cant be earlier or later and that is a commitment they must respect. shortage there won t be any shortage in the human staff or medical instruments that of course will provide a good environment to work in. using technology data of any patient will be as a software copy instead of hardware that will help in making the examination process more easier as after registering the patient will be able to be examined in any location of governmental hospital locations without any prove just confirmation message will be needed to be allowed to examination process also data of any patient like results of examination or rays will be copied to a cd which can be with anyone so that data can t be lost. communication communication also very important whatever internal between departments inside the hospital or between different locations share data it also effect on the system. cost the cost won t be an obstacle for anyone so that any category of people can use it and as efficient as the outpatient clinic.,458,"['governmental hospital locations', 'medical outcomes monitoring', 'services medical outcomes', 'encourage health seeking', 'health services medical', 'examination process', 'medical instruments']",91.75
115,,healthcare hub,"Aya Mahmoud, Hassan Adel, Menna Kamel, Mostafa Ashraf, Aya Saad",2024,"The health care scene is witnessing continuous development, with a focus on improving accessibility and increasing comfort for patients. Our innovative project stands out by offering a comprehensive platform that revolutionizes healthcare experiences. We provide a variety of services that override the traditional offline-healthcare process. Our platform facilitates access to vital medical facilities such as online pharmacy, and medical laboratories, and includes an Al-powered chatbot to identify several diseases as an initial diagnosis. In conclusion, our project highlights the potentials of technology to facilitate the healthcare journey, representing its role in revolutionizing the medical field for the better. The project consists of three parts: A website featuring functionalities for patients, medical lab operators, and pharmacy as a service; the mobile application serving patients, and nurses; and the chatbot that works on diagnosing a certain number of diseases and provides necessary analyses for the initial disease diagnosis, with patients being able to interact with it via the website and the mobile application.","This project aims to develop a user-friendly online platform that facilitates convenient access to medical services and medications. It caters to both users seeking personal healthcare solutions and medical professionals managing laboratories, system pharmacy, and medical consultation. 4 Objectives Below are the project objectives that solve the limitations of the current system. For Patients: Simplify access to medical services: Enable users to browse available laboratories, view their services and details, and request appointments online, also to buy medicine online. Enhance privacy and security: Provide a secure platform for users to register, store personal information, and receive medical test results privately. Improve convenience: Allow users to schedule appointments, pay for services online, saving time and effort. Empower informed decision-making: Equip users with search functions, medication availability checks, and chatbot consultations to make informed healthcare choices. For Medical Laboratories: Expand reach and attract new clients: Offer services online to a wider audience and increase visibility. Streamline appointment management: Efficiently manage service requests, and assign tasks to nurses. appointments, Improve service delivery: Facilitate home visits, receive feedback, and ensure patient satisfaction. Enhance communication and privacy: Upload test results directly to the platform and privately share them with users. For Pharmacy: Increase online pres","The absence of a dedicated digital healthcare hub limits the efficiency of managing medical services, patient information, and healthcare communication. Traditional manual approaches are often slow, inefficient, and prone to errors, making it difficult to track patient records, manage healthcare operations, and access important medical information in a timely and organized manner.","The health care scene is witnessing continuous development, with a focus on improving accessibility and increasing comfort for patients. Our innovative project stands out by offering a comprehensive platform that revolutionizes healthcare experiences.","1. Improve system performance and reliability.
2. Create a mobile-friendly and accessible application.
3. Provide accurate and reliable functionality.
4. Enhance healthcare efficiency and accessibility.
5. Enhance user experience and usability.
6. Improve mobile application usability and performance.
7. Reduce operational complexity and improve efficiency.
8. Optimize resource allocation and task management.","healthcare hub. The health care scene is witnessing continuous development, with a focus on improving accessibility and increasing comfort for patients. Our innovative project stands out by offering a comprehensive platform that revolutionizes healthcare experiences. We provide a variety of services that override the traditional offline-healthcare process. Our platform facilitates access to vital medical facilities such as online pharmacy, and medical laboratories, and includes an Al-powered chatbot to identify several diseases as an initial diagnosis. In conclusion, our project highlights the potentials of technology to facilitate the healthcare journey, representing its role in revolutionizing the medical field for the better. The project consists of three parts: A website featuring functionalities for patients, medical lab operators, and pharmacy as a service; the mobile application serving patients, and nurses; and the chatbot that works on diagnosing a certain number of diseases and provides necessary analyses for the initial disease diagnosis, with patients being able to interact with it via the website and the mobile application.. This project aims to develop a user-friendly online platform that facilitates convenient access to medical services and medications. It caters to both users seeking personal healthcare solutions and medical professionals managing laboratories, system pharmacy, and medical consultation. 4 Objectives Below are the project objectives that solve the limitations of the current system. For Patients: Simplify access to medical services: Enable users to browse available laboratories, view their services and details, and request appointments online, also to buy medicine online. Enhance privacy and security: Provide a secure platform for users to register, store personal information, and receive medical test results privately. Improve convenience: Allow users to schedule appointments, pay for services online, saving time and effort. Empower informed decision-making: Equip users with search functions, medication availability checks, and chatbot consultations to make informed healthcare choices. For Medical Laboratories: Expand reach and attract new clients: Offer services online to a wider audience and increase visibility. Streamline appointment management: Efficiently manage service requests, and assign tasks to nurses. appointments, Improve service delivery: Facilitate home visits, receive feedback, and ensure patient satisfaction. Enhance communication and privacy: Upload test results directly to the platform and privately share them with users. For Pharmacy: Increase online pres",healthcare hub. the health care scene is witnessing continuous development with a focus on improving accessibility and increasing comfort for patients. our innovative project stands out by offering a comprehensive platform that revolutionizes healthcare experiences. we provide a variety of services that override the traditional offline-healthcare process. our platform facilitates access to vital medical facilities such as online pharmacy and medical laboratories and includes an al-powered chatbot to identify several diseases as an initial diagnosis. in conclusion our project highlights the potentials of technology to facilitate the healthcare journey representing its role in revolutionizing the medical field for the better. the project consists of three parts a website featuring functionalities for patients medical lab operators and pharmacy as a service the mobile application serving patients and nurses and the chatbot that works on diagnosing a certain number of diseases and provides necessary analyses for the initial disease diagnosis with patients being able to interact with it via the website and the mobile application.. this project aims to develop a user-friendly online platform that facilitates convenient access to medical services and medications. it caters to both users seeking personal healthcare solutions and medical professionals managing laboratories system pharmacy and medical consultation. 4 objectives below are the project objectives that solve the limitations of the current system. for patients simplify access to medical services enable users to browse available laboratories view their services and details and request appointments online also to buy medicine online. enhance privacy and security provide a secure platform for users to register store personal information and receive medical test results privately. improve convenience allow users to schedule appointments pay for services online saving time and effort. empower informed decision-making equip users with search functions medication availability checks and chatbot consultations to make informed healthcare choices. for medical laboratories expand reach and attract new clients offer services online to a wider audience and increase visibility. streamline appointment management efficiently manage service requests and assign tasks to nurses. appointments improve service delivery facilitate home visits receive feedback and ensure patient satisfaction. enhance communication and privacy upload test results directly to the platform and privately share them with users. for pharmacy increase online pres,363,"['platform facilitates access', 'medical laboratories', 'medical services', 'patients medical', 'services online', 'healthcare hub']",64.53
116,,Healthcare wearable device,"Aalaa Ahmed Elsayed, Aya Essam EL-Dien Abd Allah, Omnia Alaa Elsayed, Atef Gamal Atef, Mostafa Borham, Taha Hussien",2024,"The world today isn't the one which it was yesterday. With the continuing evolution in technology and technological applications on medical field, innovative products and services have been emerging every day. Wearable gadgets have risen up as revolution in the medical field for patient care. A number of tech giants are pouring into this segment; wearables have already shown an impact on various fields such as communication and navigation; but perhaps the greatest potential lies in healthcare. Since our society is rapidly aging, there exists an urgent need to shift from passive medical care to preventive medicine and health management, to improve individuals' quality of life and reduce medical expenses. At the same time, rapid advances in micro-machine and LSI technologies with revolutionary advances in wireless information and communication technology have enabled development of wearable sensing systems for healthcare monitoring in daily life. We have been developing our project on the basis of wearable sensors for services to counter lifestyle diseases.","In this system, a patient carries hardware equipped with sensors to monitor body temperature and heart rate. This data is transmitted via Bluetooth to an Android smartphone application, which then sends the information to a cloud server. The system includes an automated detection mechanism for heart attack symptoms; if abnormalities are detected, the application sends an SMS alert containing the patient's status and GPS location to their doctor and relatives.","The healthcare environment is increasingly technology-oriented, yet patients still face the risk of unexpected death due to heart attacks, often caused by a lack of timely medical intervention and the difficulty of maintaining regular doctor checkups.","A wearable health monitoring system that uses sensors to track vital signs in real-time, transmits data to a smartphone and cloud server, and provides automated emergency alerts to medical professionals and family members when critical health abnormalities are detected.","1. Support future scalability and feature expansion.
2. Implement modern technologies and best practices.
3. Develop a scalable and maintainable solution.
4. Implement intelligent AI-based functionalities.
5. Reduce operational complexity and improve efficiency.
6. Optimize resource allocation and task management.
7. Improve system performance and reliability.
8. Provide accurate and reliable functionality.","Healthcare wearable device. The world today isn't the one which it was yesterday. With the continuing evolution in technology and technological applications on medical field, innovative products and services have been emerging every day. Wearable gadgets have risen up as revolution in the medical field for patient care. A number of tech giants are pouring into this segment; wearables have already shown an impact on various fields such as communication and navigation; but perhaps the greatest potential lies in healthcare. Since our society is rapidly aging, there exists an urgent need to shift from passive medical care to preventive medicine and health management, to improve individuals' quality of life and reduce medical expenses. At the same time, rapid advances in micro-machine and LSI technologies with revolutionary advances in wireless information and communication technology have enabled development of wearable sensing systems for healthcare monitoring in daily life. We have been developing our project on the basis of wearable sensors for services to counter lifestyle diseases.. In this system, a patient carries hardware equipped with sensors to monitor body temperature and heart rate. This data is transmitted via Bluetooth to an Android smartphone application, which then sends the information to a cloud server. The system includes an automated detection mechanism for heart attack symptoms; if abnormalities are detected, the application sends an SMS alert containing the patient's status and GPS location to their doctor and relatives.",healthcare wearable device. the world today isn t the one which it was yesterday. with the continuing evolution in technology and technological applications on medical field innovative products and services have been emerging every day. wearable gadgets have risen up as revolution in the medical field for patient care. a number of tech giants are pouring into this segment wearables have already shown an impact on various fields such as communication and navigation but perhaps the greatest potential lies in healthcare. since our society is rapidly aging there exists an urgent need to shift from passive medical care to preventive medicine and health management to improve individuals quality of life and reduce medical expenses. at the same time rapid advances in micro-machine and lsi technologies with revolutionary advances in wireless information and communication technology have enabled development of wearable sensing systems for healthcare monitoring in daily life. we have been developing our project on the basis of wearable sensors for services to counter lifestyle diseases.. in this system a patient carries hardware equipped with sensors to monitor body temperature and heart rate. this data is transmitted via bluetooth to an android smartphone application which then sends the information to a cloud server. the system includes an automated detection mechanism for heart attack symptoms if abnormalities are detected the application sends an sms alert containing the patient s status and gps location to their doctor and relatives.,236,"['healthcare wearable device', 'field innovative products', 'medical field innovative', 'passive medical care', 'continuing evolution', 'emerging every day', 'world today isn']",73.77
117,,Heart Diseases detector using Deep Learning,"Ahmed Abd El-Salam Gameel Abd El-Salam, Fady Girgis Aziz Girgis, Hamdi Mahmoud Fawzy Ellithy, Hamada Mohamed Abd El-Naby Ali, Hassan Mohamed Hassan Gaafer, Khaled Ahmed Mohamed Ahmed",2019,"Heart disease is one of the most serious diseases spread. Methods such as x-rays, CT scans and magnetic resonance imaging are available to detect heart disease and to help surgeons provide better visibility. Moreover, many researchers have found that people die because of the inaccurate discovery of the affected part of the heart. It is necessary to find the exact part of the affected area in the heart. Medical image analysis is the most difficult field these days. This project describes the method of discovery and extraction of heart disease from MRI images to the patient through CNN deep learning algorithm. This work will help to identify the type of disease that saves valuable time for doctors and pathologists to diagnose the disease automatically in a short period of time.","This project focuses on automating the detection and classification of heart diseases using medical imaging (MRI). By leveraging Convolutional Neural Networks (CNN), the system processes 2D and 3D medical images to identify abnormalities, aiming to reduce diagnostic time and improve accuracy for cardiologists and pathologists. The system includes a user-friendly GUI developed in Java that connects to a WAMP server to manage patient history and diagnostic data.","Manual analysis of medical images for heart disease is time-consuming, prone to human error, and subject to operator fatigue, which can lead to inaccurate diagnoses and delayed treatment for patients.","An automated deep learning-based system using CNNs to process and classify MRI images. The solution includes image preprocessing (equalization and layer rounding), a robust classification model, and a Java-based GUI integrated with a WAMP server for efficient patient data management.","1. Develop a scalable and maintainable solution.
2. Enhance user experience and usability.
3. Support future scalability and feature expansion.
4. Implement modern technologies and best practices.
5. Improve overall productivity and workflow optimization.
6. Reduce operational complexity and improve efficiency.
7. Improve decision-making using artificial intelligence techniques.","Heart Diseases detector using Deep Learning. Heart disease is one of the most serious diseases spread. Methods such as x-rays, CT scans and magnetic resonance imaging are available to detect heart disease and to help surgeons provide better visibility. Moreover, many researchers have found that people die because of the inaccurate discovery of the affected part of the heart. It is necessary to find the exact part of the affected area in the heart. Medical image analysis is the most difficult field these days. This project describes the method of discovery and extraction of heart disease from MRI images to the patient through CNN deep learning algorithm. This work will help to identify the type of disease that saves valuable time for doctors and pathologists to diagnose the disease automatically in a short period of time.. This project focuses on automating the detection and classification of heart diseases using medical imaging (MRI). By leveraging Convolutional Neural Networks (CNN), the system processes 2D and 3D medical images to identify abnormalities, aiming to reduce diagnostic time and improve accuracy for cardiologists and pathologists. The system includes a user-friendly GUI developed in Java that connects to a WAMP server to manage patient history and diagnostic data.",heart diseases detector using deep learning. heart disease is one of the most serious diseases spread. methods such as x-rays ct scans and magnetic resonance imaging are available to detect heart disease and to help surgeons provide better visibility. moreover many researchers have found that people die because of the inaccurate discovery of the affected part of the heart. it is necessary to find the exact part of the affected area in the heart. medical image analysis is the most difficult field these days. this project describes the method of discovery and extraction of heart disease from mri images to the patient through cnn deep learning algorithm. this work will help to identify the type of disease that saves valuable time for doctors and pathologists to diagnose the disease automatically in a short period of time.. this project focuses on automating the detection and classification of heart diseases using medical imaging mri . by leveraging convolutional neural networks cnn the system processes 2d and 3d medical images to identify abnormalities aiming to reduce diagnostic time and improve accuracy for cardiologists and pathologists. the system includes a user-friendly gui developed in java that connects to a wamp server to manage patient history and diagnostic data.,204,"['heart diseases detector', 'detect heart disease', 'detector using deep', 'cnn deep learning', 'diseases spread']",85.86
118,,Helping Autistics using web and mobile application,"Mohamed Adel Zaki Elbaal, Eslam Tarek Elgeyoshi, Ahmed Farouk Atallah, Mahmoud Alaa eldin Abd-Elmaged, Mohamed Elnady Mohamed, Mohamed Elsayed Okasha",2020,"At present, some people still don't know what Autism is and how much it affects Children. It is difficult to identify autism spectrum disorders in a child before reaching the age of 12 months, but they can be diagnosed in general at the age of two years, and the distinctive features of the onset of the disease have a delay or temporary decline in the development of language and social skills, and the repetition of stereotypes in his behavior. Autism also called autism spectrum disorder (ASD) is a complicated condition that includes problems with communication and behavior. It can involve a wide range of symptoms and skills. ASD can be a minor problem or a disability that needs full-time care in a special facility. People with ASD have trouble with communication. They have trouble understanding what other people think and feel. This makes it hard for them to express themselves, either with words or through gestures, facial expressions, and touch. In this project we are building a system to help autistics express their feelings and increase their social life and skills, help the parents how to discover the disease earlier and how to deal with it by using website and mobile application with an easy use interface, and well-organized methods help the autistics to learn new words and hear voices and increase their motivation. Children with autism also suffer almost certainly from difficulties in three basic developmental areas, namely: mutual social relations, language and behavior. Parents play an essential role in providing the necessary support for the child, and they can help ensure access to health and education services for the child, and provide nurturing and stimulating environments as he develops. And it has recently been shown that parents can also help provide their child with psychological and behavioral treatments. Our system is useful for children where they can make interactions and chat with another children or their therapist.","This project is a comprehensive platform consisting of a web and mobile application designed to support children with Autism Spectrum Disorder (ASD) and their parents. The system provides interactive tasks to help children improve their sensory skills, vocabulary, and social interaction. It includes features like voice recognition for pronunciation practice, color identification tasks, and a chat interface for communication with peers or therapists.","Many children with autism struggle with communication, social interaction, and sensory processing. Parents often face challenges in identifying the disorder early and lack accessible, well-organized tools to help their children develop essential life skills, language, and social behaviors.","A dual-platform system (web and mobile) that provides structured learning modules, including voice-based pronunciation tasks, visual color identification, and interactive communication tools. The platform aims to improve the child's social skills, speech, and sensory perception while providing parents with resources to better understand and support their child's development.","1. Provide accurate and reliable functionality.
2. Implement modern technologies and best practices.
3. Develop a scalable and maintainable solution.
4. Provide interactive educational tools and resources.
5. Create a mobile-friendly and accessible application.","Helping Autistics using web and mobile application. At present, some people still don't know what Autism is and how much it affects Children. It is difficult to identify autism spectrum disorders in a child before reaching the age of 12 months, but they can be diagnosed in general at the age of two years, and the distinctive features of the onset of the disease have a delay or temporary decline in the development of language and social skills, and the repetition of stereotypes in his behavior. Autism also called autism spectrum disorder (ASD) is a complicated condition that includes problems with communication and behavior. It can involve a wide range of symptoms and skills. ASD can be a minor problem or a disability that needs full-time care in a special facility. People with ASD have trouble with communication. They have trouble understanding what other people think and feel. This makes it hard for them to express themselves, either with words or through gestures, facial expressions, and touch. In this project we are building a system to help autistics express their feelings and increase their social life and skills, help the parents how to discover the disease earlier and how to deal with it by using website and mobile application with an easy use interface, and well-organized methods help the autistics to learn new words and hear voices and increase their motivation. Children with autism also suffer almost certainly from difficulties in three basic developmental areas, namely: mutual social relations, language and behavior. Parents play an essential role in providing the necessary support for the child, and they can help ensure access to health and education services for the child, and provide nurturing and stimulating environments as he develops. And it has recently been shown that parents can also help provide their child with psychological and behavioral treatments. Our system is useful for children where they can make interactions and chat with another children or their therapist.. This project is a comprehensive platform consisting of a web and mobile application designed to support children with Autism Spectrum Disorder (ASD) and their parents. The system provides interactive tasks to help children improve their sensory skills, vocabulary, and social interaction. It includes features like voice recognition for pronunciation practice, color identification tasks, and a chat interface for communication with peers or therapists.",helping autistics using web and mobile application. at present some people still don t know what autism is and how much it affects children. it is difficult to identify autism spectrum disorders in a child before reaching the age of 12 months but they can be diagnosed in general at the age of two years and the distinctive features of the onset of the disease have a delay or temporary decline in the development of language and social skills and the repetition of stereotypes in his behavior. autism also called autism spectrum disorder asd is a complicated condition that includes problems with communication and behavior. it can involve a wide range of symptoms and skills. asd can be a minor problem or a disability that needs full-time care in a special facility. people with asd have trouble with communication. they have trouble understanding what other people think and feel. this makes it hard for them to express themselves either with words or through gestures facial expressions and touch. in this project we are building a system to help autistics express their feelings and increase their social life and skills help the parents how to discover the disease earlier and how to deal with it by using website and mobile application with an easy use interface and well-organized methods help the autistics to learn new words and hear voices and increase their motivation. children with autism also suffer almost certainly from difficulties in three basic developmental areas namely mutual social relations language and behavior. parents play an essential role in providing the necessary support for the child and they can help ensure access to health and education services for the child and provide nurturing and stimulating environments as he develops. and it has recently been shown that parents can also help provide their child with psychological and behavioral treatments. our system is useful for children where they can make interactions and chat with another children or their therapist.. this project is a comprehensive platform consisting of a web and mobile application designed to support children with autism spectrum disorder asd and their parents. the system provides interactive tasks to help children improve their sensory skills vocabulary and social interaction. it includes features like voice recognition for pronunciation practice color identification tasks and a chat interface for communication with peers or therapists.,390,"['autism spectrum disorders', 'identify autism spectrum', 'called autism spectrum', 'spectrum disorder asd', 'mobile application', 'helping autistics']",85.44
119,,Hireverse: An AI-Powered Recruitment Platform,"Laila Kamel, Mohamed Hassan",2026,"The recruitment process is often hindered by inefficiencies, high costs, and biases, leading to difficulties for employers in identifying qualified candidates and a lack of feedback for applicants. This graduation project introduces Hireverse, an AI-powered recruitment platform designed to automate and streamline the hiring process. By leveraging artificial intelligence for tasks such as CV screening, interview management, and feedback generation, Hireverse aims to create a more efficient, transparent, and inclusive recruitment system, benefiting both companies and job seekers.","The recruitment process plays a key role in the success of any organization, but it is often hindered by inefficiencies, high costs, and biases. Employers face difficulties in identifying the right candidates from a large pool, while applicants are often left without feedback, leading to uncertainty and missed opportunities for improvement. Hireverse was developed to address these challenges by automating the hiring process using artificial intelligence. This platform simplifies essential recruitment tasks, such as job posting, CV screening, and interview management, saving both time and money. It also removes biases, ensuring fairer and more accurate selection of candidates. For applicants, Hireverse provides valuable feedback on why they were rejected and offers suggestions on how to improve for future opportunities. Through this approach, Hireverse aims to create a more efficient, transparent, and inclusive recruitment system that benefits both companies and job seekers.","The traditional recruitment process is slow, inefficient, and prone to biases, resulting in high costs for companies and frustration for applicants. Companies often struggle to identify the most qualified candidates from large pools of applicants, leading to suboptimal hires. Applicants are often left without feedback, creating a lack of transparency and missed opportunities for improvement. This leaves both employers and applicants dissatisfied. The overall inefficiency in recruitment can lead to poor experience for both employers and job seekers, causing delays in hiring and growth. This project seeks to solve these issues through automation and AI.","The scope of this project covers the development of an AI-powered recruitment platform, Hireverse, which automates key stages of the hiring process, including job posting, candidate application, CV filtering, interview scheduling and conducting to evaluate Technical and soft skills, and feedback generation for rejected candidates and reports to the employer including results of the process. The platform aims to serve employers by providing a faster, bias-free, and efficient way to hire qualified candidates, reducing the time spent on manual tasks. For applicants, it offers personalized job recommendations based on skills and experience, as well as valuable feedback after the hiring process, helping them improve for future opportunities.","1. Improve workflow and management efficiency.
2. Improve decision-making using artificial intelligence techniques.
3. Provide accurate and reliable functionality.
4. Reduce operational complexity and improve efficiency.
5. Improve overall productivity and workflow optimization.
6. Optimize resource allocation and task management.","Hireverse: An AI-Powered Recruitment Platform. The recruitment process is often hindered by inefficiencies, high costs, and biases, leading to difficulties for employers in identifying qualified candidates and a lack of feedback for applicants. This graduation project introduces Hireverse, an AI-powered recruitment platform designed to automate and streamline the hiring process. By leveraging artificial intelligence for tasks such as CV screening, interview management, and feedback generation, Hireverse aims to create a more efficient, transparent, and inclusive recruitment system, benefiting both companies and job seekers.. The recruitment process plays a key role in the success of any organization, but it is often hindered by inefficiencies, high costs, and biases. Employers face difficulties in identifying the right candidates from a large pool, while applicants are often left without feedback, leading to uncertainty and missed opportunities for improvement. Hireverse was developed to address these challenges by automating the hiring process using artificial intelligence. This platform simplifies essential recruitment tasks, such as job posting, CV screening, and interview management, saving both time and money. It also removes biases, ensuring fairer and more accurate selection of candidates. For applicants, Hireverse provides valuable feedback on why they were rejected and offers suggestions on how to improve for future opportunities. Through this approach, Hireverse aims to create a more efficient, transparent, and inclusive recruitment system that benefits both companies and job seekers.",hireverse an ai-powered recruitment platform. the recruitment process is often hindered by inefficiencies high costs and biases leading to difficulties for employers in identifying qualified candidates and a lack of feedback for applicants. this graduation project introduces hireverse an ai-powered recruitment platform designed to automate and streamline the hiring process. by leveraging artificial intelligence for tasks such as cv screening interview management and feedback generation hireverse aims to create a more efficient transparent and inclusive recruitment system benefiting both companies and job seekers.. the recruitment process plays a key role in the success of any organization but it is often hindered by inefficiencies high costs and biases. employers face difficulties in identifying the right candidates from a large pool while applicants are often left without feedback leading to uncertainty and missed opportunities for improvement. hireverse was developed to address these challenges by automating the hiring process using artificial intelligence. this platform simplifies essential recruitment tasks such as job posting cv screening and interview management saving both time and money. it also removes biases ensuring fairer and more accurate selection of candidates. for applicants hireverse provides valuable feedback on why they were rejected and offers suggestions on how to improve for future opportunities. through this approach hireverse aims to create a more efficient transparent and inclusive recruitment system that benefits both companies and job seekers.,224,"['ai-powered recruitment platform', 'recruitment platform designed', 'inclusive recruitment system', 'hindered by inefficiencies', 'inefficiencies high costs', 'recruitment process plays', 'hireverse aims']",94.31
120,,Home Automation,"Mohamed Abd Elrasol, Mohamed Regaey Mohamed, Mohamed Elsayed ElBaouny, Alaa Tareq Ramadan, Alaa Mahmoud badr, Ashrakat Mohamed Rashed",2016,"This project presents a comprehensive home automation system designed to provide users with remote monitoring and control capabilities for various household appliances. By leveraging the cost-effectiveness and versatility of the Raspberry Pi platform, the system addresses key challenges in the smart home market, including financial accessibility, ease of use, and security. The implementation covers a wide range of functionalities, from lighting and climate control to security features like fire detection and door management, offering a scalable solution for modern residential environments.","The Home Automation project is an IoT-based solution developed to enhance residential management through remote access and control. Utilizing Raspberry Pi as the central processing unit, the system integrates various sensors and actuators to manage home appliances, lighting, HVAC systems, and security protocols. The architecture is designed to be user-friendly, scalable, and cost-efficient, ensuring that even inexperienced users can effectively monitor and secure their homes from external locations via network technologies.","In these days, we face a problem to monitor our home in outside such as turn on or off lights, electrical devices as TV, air condition and etc., and opening or closing doors and windows. The choice for a particular smart-home system is dependent on several factors:, Financial cost., Ease of use., Security","Our project solve many problems that we face in current days .we make a system to solve these problems and provide user with the instant monitoring and controlling of home appliances. There are several devices for such monitoring and controlling. We are focused on monitoring and controlling the home appliances with Raspberry Pi. As these devices are cheaper and simpler to use and handle, they are used in co-operation to widen the work and service functionality and comparatively.","1. Optimize resource allocation and task management.
2. Enhance system security and protect sensitive user data.
3. Automate repetitive processes and reduce manual effort.
4. Improve system performance and reliability.
5. Enable real-time monitoring using connected devices.
6. Improve workflow and management efficiency.
7. Improve overall productivity and workflow optimization.","Home Automation. This project presents a comprehensive home automation system designed to provide users with remote monitoring and control capabilities for various household appliances. By leveraging the cost-effectiveness and versatility of the Raspberry Pi platform, the system addresses key challenges in the smart home market, including financial accessibility, ease of use, and security. The implementation covers a wide range of functionalities, from lighting and climate control to security features like fire detection and door management, offering a scalable solution for modern residential environments.. The Home Automation project is an IoT-based solution developed to enhance residential management through remote access and control. Utilizing Raspberry Pi as the central processing unit, the system integrates various sensors and actuators to manage home appliances, lighting, HVAC systems, and security protocols. The architecture is designed to be user-friendly, scalable, and cost-efficient, ensuring that even inexperienced users can effectively monitor and secure their homes from external locations via network technologies.",home automation. this project presents a comprehensive home automation system designed to provide users with remote monitoring and control capabilities for various household appliances. by leveraging the cost-effectiveness and versatility of the raspberry pi platform the system addresses key challenges in the smart home market including financial accessibility ease of use and security. the implementation covers a wide range of functionalities from lighting and climate control to security features like fire detection and door management offering a scalable solution for modern residential environments.. the home automation project is an iot-based solution developed to enhance residential management through remote access and control. utilizing raspberry pi as the central processing unit the system integrates various sensors and actuators to manage home appliances lighting hvac systems and security protocols. the architecture is designed to be user-friendly scalable and cost-efficient ensuring that even inexperienced users can effectively monitor and secure their homes from external locations via network technologies.,154,"['including financial accessibility', 'comprehensive home automation', 'financial accessibility ease', 'automation system designed', 'market including financial', 'addresses key challenges', 'home automation project', 'home market including', 'system addresses key', 'control capabilities', 'smart home market']",64.78
121,,Hospital Management System,"Taha Raslan Abd Elghaffar, Islam Mohamed Abd Elsadek, Omar Mohamed Ahmed, Mostafa Hussein Sweidan, Dina Rizk Mohamed, Dina Fathy Taha",2020,"Hospital management system is a computerized system designed to deal with day-to-day hospital operations. The program manages inpatients, outpatients, records, database treatments, status, and pharmacy billings. It aims to replace manual, error-prone paper-based processes with a user-friendly, fast, and cost-effective software solution for front-office management and patient information tracking.","The Hospital Management System is a comprehensive software solution developed to digitize and streamline hospital administration. It handles patient registration, doctor scheduling, pharmacy management, and billing. The system provides a secure, centralized database that allows authorized personnel to quickly retrieve patient history, diagnosis details, and staff availability, significantly improving operational efficiency and data accuracy.","The current manual system suffers from difficult information retrieval, inefficient paper-based record keeping, lack of prompt updates, error-prone manual calculations for billing, and difficulty in generating accurate reports, leading to wasted time and resources.","A centralized, computerized Hospital Management System that automates patient registration, billing, and record-keeping. The solution provides a secure, user-friendly interface for administrators and receptionists to manage data efficiently, ensuring data consistency, quick retrieval, and improved decision-making support.","1. Improve tracking accuracy and operational visibility.
2. Support future scalability and feature expansion.
3. Develop a scalable and maintainable solution.
4. Improve system performance and reliability.
5. Implement intelligent AI-based functionalities.
6. Optimize resource allocation and task management.
7. Improve workflow and management efficiency.","Hospital Management System. Hospital management system is a computerized system designed to deal with day-to-day hospital operations. The program manages inpatients, outpatients, records, database treatments, status, and pharmacy billings. It aims to replace manual, error-prone paper-based processes with a user-friendly, fast, and cost-effective software solution for front-office management and patient information tracking.. The Hospital Management System is a comprehensive software solution developed to digitize and streamline hospital administration. It handles patient registration, doctor scheduling, pharmacy management, and billing. The system provides a secure, centralized database that allows authorized personnel to quickly retrieve patient history, diagnosis details, and staff availability, significantly improving operational efficiency and data accuracy.",hospital management system. hospital management system is a computerized system designed to deal with day-to-day hospital operations. the program manages inpatients outpatients records database treatments status and pharmacy billings. it aims to replace manual error-prone paper-based processes with a user-friendly fast and cost-effective software solution for front-office management and patient information tracking.. the hospital management system is a comprehensive software solution developed to digitize and streamline hospital administration. it handles patient registration doctor scheduling pharmacy management and billing. the system provides a secure centralized database that allows authorized personnel to quickly retrieve patient history diagnosis details and staff availability significantly improving operational efficiency and data accuracy.,106,"['computerized system designed', 'hospital management system', 'hospital administration', 'front-office management', 'hospital operations', 'pharmacy management', 'software solution', 'designed to deal']",68.53
122,,Hotel management system Mobile application (Android),"Abdelrahman ahmed Mahmoud aldaghady, Zyad Moustafa Saleh, Eslam Mahmoud sadawi saleh, Ahmed gamal abd el badeai, Ahmed Ibrahim ahmed shaheen, Hamdy reda, Eslam Hassan Mohamed",2024,"A lot of people now are searching for hotels and now it is easy for people to search from their mobiles. Also there are a lot of guests who want to rate not only the hotel, but also the staff who are working on the hotel. And for the problems that face the manager and the owner of the hotels we make that application to help them to face that problems and make a quick, easy and right decisions. The main idea of the project is to make a mobile application for people who are looking for hotels. Not only the people, but also for the manager and the owner of the hotel. Our application helps the people to choose from different hotels and select what they want. Also give them the three shortest roads to that hotel.","This project is a comprehensive Android-based hotel management system designed to bridge the gap between hotel guests, management, and owners. It provides a platform for users to search for hotels, view amenities, book rooms, and provide ratings for both the hotel and staff. For management, it offers tools to streamline operations and make data-driven decisions based on guest feedback and service usage.","Hotel guests struggle to find comprehensive information and navigate to hotels efficiently, while hotel managers and owners lack a centralized, mobile-accessible system to manage guest feedback, staff performance, and operational decision-making.","A mobile application that allows users to browse hotels, view detailed amenities, and book stays. The app includes a rating system for staff and services, and provides navigation assistance (shortest path) to the selected hotel, while offering management a dashboard for operational oversight.","1. Implement intelligent AI-based functionalities.
2. Improve workflow and management efficiency.
3. Improve system performance and reliability.
4. Improve overall productivity and workflow optimization.
5. Provide accurate and reliable functionality.
6. Enhance user experience and usability.
7. Support future scalability and feature expansion.","Hotel management system Mobile application (Android). A lot of people now are searching for hotels and now it is easy for people to search from their mobiles. Also there are a lot of guests who want to rate not only the hotel, but also the staff who are working on the hotel. And for the problems that face the manager and the owner of the hotels we make that application to help them to face that problems and make a quick, easy and right decisions. The main idea of the project is to make a mobile application for people who are looking for hotels. Not only the people, but also for the manager and the owner of the hotel. Our application helps the people to choose from different hotels and select what they want. Also give them the three shortest roads to that hotel.. This project is a comprehensive Android-based hotel management system designed to bridge the gap between hotel guests, management, and owners. It provides a platform for users to search for hotels, view amenities, book rooms, and provide ratings for both the hotel and staff. For management, it offers tools to streamline operations and make data-driven decisions based on guest feedback and service usage.",hotel management system mobile application android . a lot of people now are searching for hotels and now it is easy for people to search from their mobiles. also there are a lot of guests who want to rate not only the hotel but also the staff who are working on the hotel. and for the problems that face the manager and the owner of the hotels we make that application to help them to face that problems and make a quick easy and right decisions. the main idea of the project is to make a mobile application for people who are looking for hotels. not only the people but also for the manager and the owner of the hotel. our application helps the people to choose from different hotels and select what they want. also give them the three shortest roads to that hotel.. this project is a comprehensive android-based hotel management system designed to bridge the gap between hotel guests management and owners. it provides a platform for users to search for hotels view amenities book rooms and provide ratings for both the hotel and staff. for management it offers tools to streamline operations and make data-driven decisions based on guest feedback and service usage.,207,"['mobile application android', 'system mobile application', 'management system mobile', 'hotel management system', 'hotel guests management', 'quick easy']",73.87
123,,I SEE: Smart Glasses for Blind,"Ahmed Taha Mansour, Ahmed Ibrahim Abdelhafeez, Mahmoud El Sayed Shalaby, Esraa Basher Abdelgawad, Gehan Harby El Sayed, Salma Mohamed Fawzy",2024,"The I SEE project aims to empower visually impaired individuals by providing a wearable smart glasses solution that enhances independence. The system integrates multiple computer vision and AI technologies to perform real-time tasks, including face recognition using MTCNN and VGG-16, object detection using the YOLO algorithm, and text reading via Tesseract OCR combined with NLP for text refinement. By converting visual information into auditory feedback, the device helps users navigate their environment, identify people, and read text, effectively acting as a digital guide to the world.","I SEE is an assistive technology project designed as a pair of smart glasses for the blind. It utilizes advanced AI models to interpret the user's surroundings. The system captures visual data and processes it to identify faces, detect common objects in daily life, and extract text from signs or documents. The processed information is then translated into audio, allowing the user to interact with their environment more confidently and independently.","Visually impaired individuals face significant challenges in daily life, including difficulties in recognizing people, navigating streets, identifying objects, and reading text, which often leads to a loss of independence and social interaction barriers.","A wearable smart glasses system that leverages computer vision and deep learning to provide real-time environmental awareness. The solution uses face recognition to identify people, object detection to locate obstacles and items, and OCR to read text, all of which are communicated to the user through audio.","1. Provide accurate and reliable functionality.
2. Implement intelligent AI-based functionalities.
3. Develop a scalable and maintainable solution.
4. Reduce operational complexity and improve efficiency.
5. Implement modern technologies and best practices.","I SEE: Smart Glasses for Blind. The I SEE project aims to empower visually impaired individuals by providing a wearable smart glasses solution that enhances independence. The system integrates multiple computer vision and AI technologies to perform real-time tasks, including face recognition using MTCNN and VGG-16, object detection using the YOLO algorithm, and text reading via Tesseract OCR combined with NLP for text refinement. By converting visual information into auditory feedback, the device helps users navigate their environment, identify people, and read text, effectively acting as a digital guide to the world.. I SEE is an assistive technology project designed as a pair of smart glasses for the blind. It utilizes advanced AI models to interpret the user's surroundings. The system captures visual data and processes it to identify faces, detect common objects in daily life, and extract text from signs or documents. The processed information is then translated into audio, allowing the user to interact with their environment more confidently and independently.",i see smart glasses for blind. the i see project aims to empower visually impaired individuals by providing a wearable smart glasses solution that enhances independence. the system integrates multiple computer vision and ai technologies to perform real-time tasks including face recognition using mtcnn and vgg-16 object detection using the yolo algorithm and text reading via tesseract ocr combined with nlp for text refinement. by converting visual information into auditory feedback the device helps users navigate their environment identify people and read text effectively acting as a digital guide to the world.. i see is an assistive technology project designed as a pair of smart glasses for the blind. it utilizes advanced ai models to interpret the user s surroundings. the system captures visual data and processes it to identify faces detect common objects in daily life and extract text from signs or documents. the processed information is then translated into audio allowing the user to interact with their environment more confidently and independently.,164,"['visually impaired individuals', 'environment identify people', 'empower visually impaired', 'individuals by providing', 'wearable smart glasses', 'smart glasses solution', 'enhances independence', 'glasses for blind', 'aims to empower', 'project aims']",92.45
124,,I-CARE,"Manar Karam Mahmoud, Merna Samoail Girgis, Hoda Khattab Alsayed, Ahmed Ehab Mohamed, Mohamed Ahmed Abouzaher",2019,"The latest studies have shown a growing demand amongst people to make all their needs online. Booking, purchasing, asking, chatting and everything became online which provides continence and saves time and effort. This document has been prepared by a group of Computer Science Students, College of Computers and informatics Benha University to help medical corporations. In this document we are trying to make use of android mobile application and web based systems to play to their strengths and applying them to create a whole online system to help doctors and patients, facilitates medical corporation systems, to enhance medical services and to guard patients' medical data with privacy and security from loss. This application will make a journey inside the medical corporations (hospitals). It allows doctors to do their jobs in a good and organized manner, help patients to get their accurate diagnoses regarding their health history carefully, facilitation of services is a way to encourage them to take good care of their health which in return results in good health, happiness and long life.","I-CARE is a comprehensive digital health platform designed to bridge the gap between patients and medical institutions through an integrated Android mobile application and a web-based management system. The platform aims to digitize medical records, streamline hospital administrative workflows, and provide secure, reliable access to health information, thereby reducing the inefficiencies and data loss common in traditional healthcare settings.","A fact must be recognized that the medical care in our society isn't as good and charged as it should be, people don't recognize the importance of their health unless they lose it or feel bad in some way, bad services at hospital, people are treated with non-concern, waiting for hours before being helped, no nurses or doctors are available to help or examine you. It's so disappointing that people lose their health documentations and they're have to prepare them from the point they lost it which in return costs a lot of money, time and effort. Some have a lot of questions about their health and they search for their answers on the internet where it's not true and not secure so unfortunately in most cases the state became worse.","The project provides a dual-interface solution consisting of an Android mobile application for patients and a web-based system for medical staff. This system centralizes patient health histories, automates appointment booking and service facilitation, and ensures that medical data is stored securely to prevent loss, while also providing a reliable channel for patient-doctor communication.","1. Develop a responsive and user-friendly web application.
2. Implement modern technologies and best practices.
3. Create a mobile-friendly and accessible application.
4. Provide accurate and reliable functionality.
5. Enhance user experience and usability.
6. Enhance system security and protect sensitive user data.
7. Reduce operational complexity and improve efficiency.
8. Improve overall productivity and workflow optimization.","I-CARE. The latest studies have shown a growing demand amongst people to make all their needs online. Booking, purchasing, asking, chatting and everything became online which provides continence and saves time and effort. This document has been prepared by a group of Computer Science Students, College of Computers and informatics Benha University to help medical corporations. In this document we are trying to make use of android mobile application and web based systems to play to their strengths and applying them to create a whole online system to help doctors and patients, facilitates medical corporation systems, to enhance medical services and to guard patients' medical data with privacy and security from loss. This application will make a journey inside the medical corporations (hospitals). It allows doctors to do their jobs in a good and organized manner, help patients to get their accurate diagnoses regarding their health history carefully, facilitation of services is a way to encourage them to take good care of their health which in return results in good health, happiness and long life.. I-CARE is a comprehensive digital health platform designed to bridge the gap between patients and medical institutions through an integrated Android mobile application and a web-based management system. The platform aims to digitize medical records, streamline hospital administrative workflows, and provide secure, reliable access to health information, thereby reducing the inefficiencies and data loss common in traditional healthcare settings.",i-care. the latest studies have shown a growing demand amongst people to make all their needs online. booking purchasing asking chatting and everything became online which provides continence and saves time and effort. this document has been prepared by a group of computer science students college of computers and informatics benha university to help medical corporations. in this document we are trying to make use of android mobile application and web based systems to play to their strengths and applying them to create a whole online system to help doctors and patients facilitates medical corporation systems to enhance medical services and to guard patients medical data with privacy and security from loss. this application will make a journey inside the medical corporations hospitals . it allows doctors to do their jobs in a good and organized manner help patients to get their accurate diagnoses regarding their health history carefully facilitation of services is a way to encourage them to take good care of their health which in return results in good health happiness and long life.. i-care is a comprehensive digital health platform designed to bridge the gap between patients and medical institutions through an integrated android mobile application and a web-based management system. the platform aims to digitize medical records streamline hospital administrative workflows and provide secure reliable access to health information thereby reducing the inefficiencies and data loss common in traditional healthcare settings.,235,"['facilitates medical corporation', 'medical corporations hospitals', 'patients facilitates medical', 'medical corporation systems', 'android mobile application', 'guard patients medical', 'patients medical data', 'online system']",92.23
125,,Improve Healthcare Performance using IOT (EL72ONI),"Hayam Abo-Elmagd, Hend Maher Fouad, Mohamed Gamal Makram, Mohamed Adel Lotfy, Mostafa Hemida Elabsi, Nouran Ahmed Nayel",2016,"All of us knew that we have a lot of problems in the health field such as emergency problems which lead to large number of died. The main idea of our project goal is to save people life through connecting between ambulance and hospitals, hospitals with each other, citizen, hospitals and doctors around him. Ambulance can search about the nearest available hospital and reserve place in this hospital. Hospital can connect to other hospitals by searching about the nearest available hospital, and send patient from one hospital to another by reserving places before send patient. Citizen can search about available hospital without the ability of reserving places. There are other features available to citizen such as connect to the nearest doctor around him everywhere, and can use his mobile in calculating his steps and his speed to save his health.","The project is an IoT-based healthcare management system designed to improve emergency response times and hospital coordination. It facilitates communication between ambulances, hospitals, and citizens. The system includes an Android application for patients and medics, and a web interface for hospital receptionists to manage patient transfers, bed availability, and emergency services. It integrates GPS tracking and sensor data to provide real-time health monitoring and location-based services.","The current healthcare system lacks efficient connectivity between hospitals and ambulance services, leading to delays in patient transfers and emergency care. There is a lack of real-time information regarding hospital bed availability, specifically for intensive care and incubators, which results in preventable loss of life.","An integrated IoT platform that automates hospital management and emergency response. The solution uses an Android app for medics and citizens to locate the nearest hospital with available resources via GPS, and a web-based system for hospital staff to manage department status and patient reservations, ensuring faster coordination and resource allocation.","1. Improve patient monitoring and healthcare management.
2. Support future scalability and feature expansion.
3. Enable real-time monitoring using connected devices.
4. Create a mobile-friendly and accessible application.
5. Implement modern technologies and best practices.
6. Enable real-time monitoring and tracking capabilities.","Improve Healthcare Performance using IOT (EL72ONI). All of us knew that we have a lot of problems in the health field such as emergency problems which lead to large number of died. The main idea of our project goal is to save people life through connecting between ambulance and hospitals, hospitals with each other, citizen, hospitals and doctors around him. Ambulance can search about the nearest available hospital and reserve place in this hospital. Hospital can connect to other hospitals by searching about the nearest available hospital, and send patient from one hospital to another by reserving places before send patient. Citizen can search about available hospital without the ability of reserving places. There are other features available to citizen such as connect to the nearest doctor around him everywhere, and can use his mobile in calculating his steps and his speed to save his health.. The project is an IoT-based healthcare management system designed to improve emergency response times and hospital coordination. It facilitates communication between ambulances, hospitals, and citizens. The system includes an Android application for patients and medics, and a web interface for hospital receptionists to manage patient transfers, bed availability, and emergency services. It integrates GPS tracking and sensor data to provide real-time health monitoring and location-based services.",improve healthcare performance using iot el72oni . all of us knew that we have a lot of problems in the health field such as emergency problems which lead to large number of died. the main idea of our project goal is to save people life through connecting between ambulance and hospitals hospitals with each other citizen hospitals and doctors around him. ambulance can search about the nearest available hospital and reserve place in this hospital. hospital can connect to other hospitals by searching about the nearest available hospital and send patient from one hospital to another by reserving places before send patient. citizen can search about available hospital without the ability of reserving places. there are other features available to citizen such as connect to the nearest doctor around him everywhere and can use his mobile in calculating his steps and his speed to save his health.. the project is an iot-based healthcare management system designed to improve emergency response times and hospital coordination. it facilitates communication between ambulances hospitals and citizens. the system includes an android application for patients and medics and a web interface for hospital receptionists to manage patient transfers bed availability and emergency services. it integrates gps tracking and sensor data to provide real-time health monitoring and location-based services.,213,"['improve healthcare performance', 'performance using iot', 'problems which lead', 'emergency problems', 'reserving places', 'lot of problems', 'number of died', 'lead to large', 'large number', 'health field']",51.44
126,,Improving Learning Outcomes Using EEG and AI,"Yara Ahmed Mohmed, Ola Eid Abu Elwafa Eid, Somia Ashraf Soliman, Sohila Gamal Ibrahim, Manar Wageh Disoky, Sondos Abdelhamid Ahmed, Shahd Ahmed Shookri",2024,"This project explores the integration of Electroencephalography (EEG) and Artificial Intelligence (AI) to revolutionize the educational experience. By monitoring students' cognitive states, attention levels, and mental workloads in real-time, the system provides personalized learning content and pacing. The project aims to enhance learning outcomes, facilitate early detection of learning disabilities, and provide educators with actionable insights through an intuitive dashboard, ultimately fostering a more inclusive and effective learning environment.","The project is an AI-driven educational platform that utilizes EEG brain-computer interfaces to analyze student cognitive states. It aims to bridge the gap in traditional education by providing real-time feedback on attention and engagement, allowing for adaptive learning paths, early identification of learning challenges, and reduced educator workload through automated insights and personalized interventions.","Traditional education often fails to cater to individual learning styles and challenges, leading to disparities in student outcomes. Educators lack real-time insights into students' mental states, such as confusion or fatigue, and interventions for learning disabilities are often reactive rather than proactive.","The proposed solution is an EEG-AI integrated system that monitors brain activity to provide real-time analysis of attention and engagement. This data powers a personalization engine that adapts learning content and difficulty to individual needs, while an educator dashboard provides predictive analytics to support timely interventions and personalized teaching strategies.","1. Improve decision-making using artificial intelligence techniques.
2. Implement modern technologies and best practices.
3. Provide interactive educational tools and resources.
4. Implement intelligent AI-based functionalities.
5. Improve system performance and reliability.
6. Support future scalability and feature expansion.","Improving Learning Outcomes Using EEG and AI. This project explores the integration of Electroencephalography (EEG) and Artificial Intelligence (AI) to revolutionize the educational experience. By monitoring students' cognitive states, attention levels, and mental workloads in real-time, the system provides personalized learning content and pacing. The project aims to enhance learning outcomes, facilitate early detection of learning disabilities, and provide educators with actionable insights through an intuitive dashboard, ultimately fostering a more inclusive and effective learning environment.. The project is an AI-driven educational platform that utilizes EEG brain-computer interfaces to analyze student cognitive states. It aims to bridge the gap in traditional education by providing real-time feedback on attention and engagement, allowing for adaptive learning paths, early identification of learning challenges, and reduced educator workload through automated insights and personalized interventions.",improving learning outcomes using eeg and ai. this project explores the integration of electroencephalography eeg and artificial intelligence ai to revolutionize the educational experience. by monitoring students cognitive states attention levels and mental workloads in real-time the system provides personalized learning content and pacing. the project aims to enhance learning outcomes facilitate early detection of learning disabilities and provide educators with actionable insights through an intuitive dashboard ultimately fostering a more inclusive and effective learning environment.. the project is an ai-driven educational platform that utilizes eeg brain-computer interfaces to analyze student cognitive states. it aims to bridge the gap in traditional education by providing real-time feedback on attention and engagement allowing for adaptive learning paths early identification of learning challenges and reduced educator workload through automated insights and personalized interventions.,130,"['integration of electroencephalography', 'monitoring students cognitive', 'personalized learning content', 'learning outcomes facilitate', 'cognitive states attention', 'students cognitive states', 'experience. by monitoring', 'explores the integration', 'states attention levels', 'artificial intelligence', 'content and pacing', 'levels and mental', 'project explores']",89.43
127,,Information System for Breeding and caring the Arabian Horses,"Ahmed Mohamed Kamal Fadlalla, Mostafa Mohamed Sadek, Mustafa Mahmoud Mohamed, Youssef Nader EL-Sherief, Eman Ahmed Mohamed, Fatma-Elzahraa Mahmoud Abdelghfar",2022,"In light of the state's interest in purebred Arabian horses, their breeding, the preservation of rare breeds, and the provision of full care to them, as at El- Zahra station in Ain Shams and other and private studs as well, Also, the Arabian horses have a great Arab heritage, where the Arabs kept their horse lineage from mixing with the hybrid horses, so we went to create an application that provides the following: (1) A special profile for each horse that includes everything related to it, such as its pedigree certificate, its appearance, colour, name, the name of the mother and father, date of birth, ancestry, microchip, and age, To convert the paper system to the digital system, following the efforts of the state to make everything digital for its ease and to ensure that it is preserved from damage and loss. (2) Selling and buying horse supplies and communicating with their owners easily. (3) Easy ways to care for the horse, follow it, and organize vaccinations and treatments through the veterinarian. (4) Follow up on the condition of the horse and its nutrition by choosing the doctor for the appropriate diet for each horse, providing full care for the horse in each of its periods and following it up in periods Childbirth, pregnancy, and diseases. (5) Part of a special space for all those interested in horses to communicate between them and add publications (to provide some other services such as: requesting mobile clinics, ease of communication with physical therapy doctors for horse treatment, horse trips, horse transport vehicles, and knowing the dates of festivals) and knowing all the news related to horses with The ability to modify each user of his page. (6) There is a place for chatting between all users of the application. (7) A part to provide the shelter service and present it to the users to choose the most suitable place to house the horse. (8) A section that includes horses in the Qur'an and Sunnah, and knowledge of hadiths and verses mentioned in the Qur'an.","Purebred Arabian horses have great importance in Egypt and the Arab world and their prices are high, but breeders face some problems in horse breeding, organization, medical and health care, nutrition, scheduling of treatments and vaccines, and providing the appropriate feed for them. During different periods of his life, these problems affect the horse, as he suffers from some diseases that may lead to death. Therefore, we moved to create an application that solves part of these problems that educators face.","So far, some studs for horses are facing some different problems, including: - Storing and dealing with the data of the horses they have on paper so far, costs a lot of time and effort, as well as damage or loss of this data may occur when this paper is lost. - One of the important problems that any stud may encounter is that their horses do not receive adequate medical care properly, which may lead to the loss of any horse they have due to a medical error or lack of good follow-up, and the loss of this horse may cost the stud huge sums, there are horses Its price could reach millions of pounds, which is a great loss. - The problem of a horse getting proper or correct nutrition during the various stages of its life, starting from its birth. Wrong feeding may lead to the loss of horses' lives. - Having difficulty communicating with the owners of different stalls or veterinarians, as there may be someone who needs to communicate with a veterinarian to present a health problem facing his horse urgently.","The project proposes a comprehensive digital platform that replaces traditional paper-based record-keeping with a centralized database for tracking horse pedigrees, health history, and nutritional needs. The application integrates a communication module for connecting breeders with veterinarians and service providers, alongside a marketplace for horse supplies and a social space for community engagement, ensuring efficient management and improved survival rates for high-value horses.","1. Implement modern technologies and best practices.
2. Improve system performance and reliability.
3. Improve decision-making using artificial intelligence techniques.
4. Create a mobile-friendly and accessible application.
5. Develop a scalable and maintainable solution.
6. Improve overall productivity and workflow optimization.","Information System for Breeding and caring the Arabian Horses. In light of the state's interest in purebred Arabian horses, their breeding, the preservation of rare breeds, and the provision of full care to them, as at El- Zahra station in Ain Shams and other and private studs as well, Also, the Arabian horses have a great Arab heritage, where the Arabs kept their horse lineage from mixing with the hybrid horses, so we went to create an application that provides the following: (1) A special profile for each horse that includes everything related to it, such as its pedigree certificate, its appearance, colour, name, the name of the mother and father, date of birth, ancestry, microchip, and age, To convert the paper system to the digital system, following the efforts of the state to make everything digital for its ease and to ensure that it is preserved from damage and loss. (2) Selling and buying horse supplies and communicating with their owners easily. (3) Easy ways to care for the horse, follow it, and organize vaccinations and treatments through the veterinarian. (4) Follow up on the condition of the horse and its nutrition by choosing the doctor for the appropriate diet for each horse, providing full care for the horse in each of its periods and following it up in periods Childbirth, pregnancy, and diseases. (5) Part of a special space for all those interested in horses to communicate between them and add publications (to provide some other services such as: requesting mobile clinics, ease of communication with physical therapy doctors for horse treatment, horse trips, horse transport vehicles, and knowing the dates of festivals) and knowing all the news related to horses with The ability to modify each user of his page. (6) There is a place for chatting between all users of the application. (7) A part to provide the shelter service and present it to the users to choose the most suitable place to house the horse. (8) A section that includes horses in the Qur'an and Sunnah, and knowledge of hadiths and verses mentioned in the Qur'an.. Purebred Arabian horses have great importance in Egypt and the Arab world and their prices are high, but breeders face some problems in horse breeding, organization, medical and health care, nutrition, scheduling of treatments and vaccines, and providing the appropriate feed for them. During different periods of his life, these problems affect the horse, as he suffers from some diseases that may lead to death. Therefore, we moved to create an application that solves part of these problems that educators face.",information system for breeding and caring the arabian horses. in light of the state s interest in purebred arabian horses their breeding the preservation of rare breeds and the provision of full care to them as at el- zahra station in ain shams and other and private studs as well also the arabian horses have a great arab heritage where the arabs kept their horse lineage from mixing with the hybrid horses so we went to create an application that provides the following 1 a special profile for each horse that includes everything related to it such as its pedigree certificate its appearance colour name the name of the mother and father date of birth ancestry microchip and age to convert the paper system to the digital system following the efforts of the state to make everything digital for its ease and to ensure that it is preserved from damage and loss. 2 selling and buying horse supplies and communicating with their owners easily. 3 easy ways to care for the horse follow it and organize vaccinations and treatments through the veterinarian. 4 follow up on the condition of the horse and its nutrition by choosing the doctor for the appropriate diet for each horse providing full care for the horse in each of its periods and following it up in periods childbirth pregnancy and diseases. 5 part of a special space for all those interested in horses to communicate between them and add publications to provide some other services such as requesting mobile clinics ease of communication with physical therapy doctors for horse treatment horse trips horse transport vehicles and knowing the dates of festivals and knowing all the news related to horses with the ability to modify each user of his page. 6 there is a place for chatting between all users of the application. 7 a part to provide the shelter service and present it to the users to choose the most suitable place to house the horse. 8 a section that includes horses in the qur an and sunnah and knowledge of hadiths and verses mentioned in the qur an.. purebred arabian horses have great importance in egypt and the arab world and their prices are high but breeders face some problems in horse breeding organization medical and health care nutrition scheduling of treatments and vaccines and providing the appropriate feed for them. during different periods of his life these problems affect the horse as he suffers from some diseases that may lead to death. therefore we moved to create an application that solves part of these problems that educators face.,435,"['horse breeding organization', 'purebred arabian horses', 'horse treatment horse', 'horse providing full', 'information system', 'caring the arabian', 'horse trips horse', 'digital system', 'paper system', 'full care']",93.33
128,,Infrastructure Monitoring System (CivicEye),"Mohammad Gamal Mahmoud Arabie, Mahmoud Mohamed Kamel Mohamed, Yousef Hesham Abdel-Wahed, Mahmoud Mohamed Mahmoud Kussper, Yousef Nasser Emam, Yousef Tarek El-Desoukey, Mahmoud Mostafa Ahmed Ahmed, Adel Ayman Abdel-Hafez Salim, Abdelrahman Amgad Abdellatief",2024,"In recent years, the rapid growth of urban populations and infrastructure in Egypt has highlighted the urgent need for more efficient, transparent, and scalable systems for monitoring and resolving public infrastructure issues. Traditional reporting mechanisms—such as phone hotlines, municipal visits, or informal complaints on social media—often suffer from fragmentation, delays, and a lack of accountability, which directly impact both citizen satisfaction and governmental efficiency. In response to these challenges, this project introduces CivicEye, a comprehensive, multi-platform infrastructure monitoring and civic engagement system designed specifically for the Egyptian public sector. CivicEye bridges the communication gap between citizens, municipal employees, and administrative authorities at various levels (city, governorate, and national) through an integrated digital platform. The system comprises three main interfaces: a citizen mobile application, an employee mobile application, and a web-based administrative dashboard. Each of these components is tailored to meet the distinct needs of its user base while ensuring synchronized, real-time interaction through WebSocket technology and structured workflows.","CivicEye is an intelligent, multi-layered infrastructure monitoring platform designed to modernize civic engagement in Egypt. It provides a unified ecosystem where citizens can report infrastructure issues (like potholes or broken lights) via a mobile app, field employees can manage and resolve these reports, and administrators can monitor performance and trends through a centralized web dashboard. The system leverages AI for automated report titling and identity verification, and uses real-time data synchronization to ensure transparency and accountability across all levels of government.","Current infrastructure reporting methods in Egypt are largely manual, fragmented, and bureaucratic. Citizens lack a unified, transparent channel to report issues, leading to delayed responses and lack of feedback. Simultaneously, government entities lack centralized tools for tracking patterns, analyzing complaints, or evaluating employee performance based on real-time operational data.","The project proposes CivicEye, a comprehensive platform featuring a citizen mobile app for reporting, an employee mobile app for field management, and an administrative web dashboard for oversight. The solution incorporates AI-assisted features (OCR for ID verification, automated titling), real-time WebSocket communication for status updates, and a hierarchical administrative model (City, Governorate, National) to align with Egypt's existing governmental structure.","1. Enhance user experience and usability.
2. Improve decision-making using artificial intelligence techniques.
3. Develop a scalable and maintainable solution.
4. Improve overall productivity and workflow optimization.
5. Support future scalability and feature expansion.
6. Reduce operational complexity and improve efficiency.
7. Improve mobile application usability and performance.
8. Create a mobile-friendly and accessible application.","Infrastructure Monitoring System (CivicEye). In recent years, the rapid growth of urban populations and infrastructure in Egypt has highlighted the urgent need for more efficient, transparent, and scalable systems for monitoring and resolving public infrastructure issues. Traditional reporting mechanisms—such as phone hotlines, municipal visits, or informal complaints on social media—often suffer from fragmentation, delays, and a lack of accountability, which directly impact both citizen satisfaction and governmental efficiency. In response to these challenges, this project introduces CivicEye, a comprehensive, multi-platform infrastructure monitoring and civic engagement system designed specifically for the Egyptian public sector. CivicEye bridges the communication gap between citizens, municipal employees, and administrative authorities at various levels (city, governorate, and national) through an integrated digital platform. The system comprises three main interfaces: a citizen mobile application, an employee mobile application, and a web-based administrative dashboard. Each of these components is tailored to meet the distinct needs of its user base while ensuring synchronized, real-time interaction through WebSocket technology and structured workflows.. CivicEye is an intelligent, multi-layered infrastructure monitoring platform designed to modernize civic engagement in Egypt. It provides a unified ecosystem where citizens can report infrastructure issues (like potholes or broken lights) via a mobile app, field employees can manage and resolve these reports, and administrators can monitor performance and trends through a centralized web dashboard. The system leverages AI for automated report titling and identity verification, and uses real-time data synchronization to ensure transparency and accountability across all levels of government.",infrastructure monitoring system civiceye . in recent years the rapid growth of urban populations and infrastructure in egypt has highlighted the urgent need for more efficient transparent and scalable systems for monitoring and resolving public infrastructure issues. traditional reporting mechanisms such as phone hotlines municipal visits or informal complaints on social media often suffer from fragmentation delays and a lack of accountability which directly impact both citizen satisfaction and governmental efficiency. in response to these challenges this project introduces civiceye a comprehensive multi-platform infrastructure monitoring and civic engagement system designed specifically for the egyptian public sector. civiceye bridges the communication gap between citizens municipal employees and administrative authorities at various levels city governorate and national through an integrated digital platform. the system comprises three main interfaces a citizen mobile application an employee mobile application and a web-based administrative dashboard. each of these components is tailored to meet the distinct needs of its user base while ensuring synchronized real-time interaction through websocket technology and structured workflows.. civiceye is an intelligent multi-layered infrastructure monitoring platform designed to modernize civic engagement in egypt. it provides a unified ecosystem where citizens can report infrastructure issues like potholes or broken lights via a mobile app field employees can manage and resolve these reports and administrators can monitor performance and trends through a centralized web dashboard. the system leverages ai for automated report titling and identity verification and uses real-time data synchronization to ensure transparency and accountability across all levels of government.,246,"['multi-platform infrastructure monitoring', 'infrastructure monitoring platform', 'resolving public infrastructure', 'public infrastructure issues', 'monitoring system civiceye', 'transparent and scalable', 'highlighted the urgent', 'efficient transparent', 'urban populations', 'scalable systems', 'years the rapid', 'growth of urban', 'recent years', 'rapid growth']",96.94
129,,Integrated Intelligent System for City Services (Citi Linked),"Magdy Mohamed Diab, Eslam Kamel Metwally, Mohamed Helmy Ibrahim, Mohamed Mohamed BERAKA, Mohand Mohamed Mounir, Mohamed Roshdy El-halawany",2017,"A smart city is an urban development vision to integrate information and communication technology (ICT) and Internet of things (IOT) technology in a secure fashion to manage a city's assets. These assets include local departments' information systems, schools, libraries, transportation systems, hospitals, power plants, water supply networks, waste management, law enforcement, and other community services. ICT allows city officials to interact directly with the community and the city infrastructure and to monitor what is happening in the city, how the city is evolving, and how to enable a better quality of life. Through the use of sensors integrated with real-time monitoring systems, data are collected from citizens and devices - then processed and analyzed. The information and knowledge gathered are keys to tackling inefficiency.","The project, titled 'Citi Linked', is an integrated intelligent system designed to improve urban management and citizen services. It focuses on two primary services: AS3FNY, an emergency response system that uses GPS and user input to dispatch the nearest ambulance to accident locations, and a Reporting Service that allows citizens to document and report urban issues like pollution or crime via social media and mobile uploads, facilitating better decision-making for city authorities.","Cities face significant inefficiencies in managing urban assets, responding to medical emergencies, and addressing public grievances like pollution and crime. Existing systems are often fragmented, slow, and lack real-time interaction between citizens and government authorities.","The project proposes an integrated ICT and IoT-based platform that connects citizens directly to city services. It implements a real-time emergency dispatch system (AS3FNY) that identifies the nearest hospital and ambulance, and a crowdsourced reporting platform that enables citizens to participate in urban maintenance and crime prevention.","1. Enhance user experience and usability.
2. Implement modern technologies and best practices.
3. Reduce operational complexity and improve efficiency.
4. Enable real-time monitoring using connected devices.
5. Improve system performance and reliability.","Integrated Intelligent System for City Services (Citi Linked). A smart city is an urban development vision to integrate information and communication technology (ICT) and Internet of things (IOT) technology in a secure fashion to manage a city's assets. These assets include local departments' information systems, schools, libraries, transportation systems, hospitals, power plants, water supply networks, waste management, law enforcement, and other community services. ICT allows city officials to interact directly with the community and the city infrastructure and to monitor what is happening in the city, how the city is evolving, and how to enable a better quality of life. Through the use of sensors integrated with real-time monitoring systems, data are collected from citizens and devices - then processed and analyzed. The information and knowledge gathered are keys to tackling inefficiency.. The project, titled 'Citi Linked', is an integrated intelligent system designed to improve urban management and citizen services. It focuses on two primary services: AS3FNY, an emergency response system that uses GPS and user input to dispatch the nearest ambulance to accident locations, and a Reporting Service that allows citizens to document and report urban issues like pollution or crime via social media and mobile uploads, facilitating better decision-making for city authorities.",integrated intelligent system for city services citi linked . a smart city is an urban development vision to integrate information and communication technology ict and internet of things iot technology in a secure fashion to manage a city s assets. these assets include local departments information systems schools libraries transportation systems hospitals power plants water supply networks waste management law enforcement and other community services. ict allows city officials to interact directly with the community and the city infrastructure and to monitor what is happening in the city how the city is evolving and how to enable a better quality of life. through the use of sensors integrated with real-time monitoring systems data are collected from citizens and devices - then processed and analyzed. the information and knowledge gathered are keys to tackling inefficiency.. the project titled citi linked is an integrated intelligent system designed to improve urban management and citizen services. it focuses on two primary services as3fny an emergency response system that uses gps and user input to dispatch the nearest ambulance to accident locations and a reporting service that allows citizens to document and report urban issues like pollution or crime via social media and mobile uploads facilitating better decision-making for city authorities.,206,"['departments information systems', 'integrated intelligent system', 'communication technology ict', 'information systems schools', 'urban development vision', 'things iot technology', 'integrate information', 'vision to integrate', 'internet of things', 'city services citi', 'fashion to manage', 'secure fashion', 'smart city']",97.6
130,,"Intelligent traffic system (ITS) with openCV, Web services, cloud computing, big data, and Raspberry Pi","Ahmed Fahmy Omar, Hisham gamil Anour, Ahmed Ali Abd El-Mohsin, Mohamed Ahmed Zaki, Mostafa Abd El-Nasser Ahmed, Hadeer Mahmoud El-sayed",2016,"The main idea of our project is monitoring the road, detecting traffic jam, accidents and weather conditions by using Opencv, Web service, cloud computing, big data, and Raspberry Pi. Our project does not only monitor the road, detect traffic jam, accidents and weather conditions, but sends the road status to digital screen on road or mobile screen via web service to guide drivers about the status of road, sends the road status to Police station if it detects traffic jam or accidents via web service with the video of accident and also can call ambulance organization if it detect an accident. Certainly identify any road where traffic jam or accidents.","The project is an intelligent traffic system that utilizes Raspberry Pi and computer vision (OpenCV) to monitor road conditions, detect traffic jams, accidents, and weather patterns. It integrates big data analytics and cloud computing (Azure) to process information and provide real-time updates to drivers via digital signage and mobile applications, while also automating emergency responses by notifying police and ambulance services.","Increasing population and traffic congestion lead to frequent accidents and significant delays. Emergency services often struggle to reach accident scenes quickly due to lack of real-time information, and authorities often cannot identify the perpetrators of accidents or the root causes of traffic congestion.","A comprehensive intelligent traffic system that uses cameras and Raspberry Pi for real-time monitoring. The system detects accidents and traffic jams, automatically alerts emergency services with location and video data, identifies vehicles involved in accidents, and provides real-time traffic status to drivers to help them avoid congested routes.","1. Develop a scalable and maintainable solution.
2. Develop a responsive and user-friendly web application.
3. Implement intelligent AI-based functionalities.
4. Improve system performance and reliability.
5. Improve overall productivity and workflow optimization.","Intelligent traffic system (ITS) with openCV, Web services, cloud computing, big data, and Raspberry Pi. The main idea of our project is monitoring the road, detecting traffic jam, accidents and weather conditions by using Opencv, Web service, cloud computing, big data, and Raspberry Pi. Our project does not only monitor the road, detect traffic jam, accidents and weather conditions, but sends the road status to digital screen on road or mobile screen via web service to guide drivers about the status of road, sends the road status to Police station if it detects traffic jam or accidents via web service with the video of accident and also can call ambulance organization if it detect an accident. Certainly identify any road where traffic jam or accidents.. The project is an intelligent traffic system that utilizes Raspberry Pi and computer vision (OpenCV) to monitor road conditions, detect traffic jams, accidents, and weather patterns. It integrates big data analytics and cloud computing (Azure) to process information and provide real-time updates to drivers via digital signage and mobile applications, while also automating emergency responses by notifying police and ambulance services.",intelligent traffic system its with opencv web services cloud computing big data and raspberry pi. the main idea of our project is monitoring the road detecting traffic jam accidents and weather conditions by using opencv web service cloud computing big data and raspberry pi. our project does not only monitor the road detect traffic jam accidents and weather conditions but sends the road status to digital screen on road or mobile screen via web service to guide drivers about the status of road sends the road status to police station if it detects traffic jam or accidents via web service with the video of accident and also can call ambulance organization if it detect an accident. certainly identify any road where traffic jam or accidents.. the project is an intelligent traffic system that utilizes raspberry pi and computer vision opencv to monitor road conditions detect traffic jams accidents and weather patterns. it integrates big data analytics and cloud computing azure to process information and provide real-time updates to drivers via digital signage and mobile applications while also automating emergency responses by notifying police and ambulance services.,186,"['call ambulance organization', 'intelligent traffic system', 'traffic jams accidents', 'road detecting traffic', 'detecting traffic jam', 'opencv web services', 'cloud computing big', 'web services cloud', 'computing big data', 'road status']",100.0
132,,Interactive Sign Language Interpretation System: From sign language gestures to audible speech,"Mahmoud Fahmy Omar, Omar Zakaria Salah, Abbas Saleem Hennidi, Mahmoud Kassem Mahmoud, Mahmoud El-Sayyad",2019,"The aim of this project is to implement an accessible, easy to use, inexpensive, and most importantly accurate sign language interpretation system that could be used by deaf/mute people to communicate with people who are not familiar with sign language, by converting the sign language gesture streams into either live text, or audible synthesized speech in real time. The project utilizes the state-of-the-art YOLO object detection algorithm, in combination with Google's MobileNetV1 to solve the two hardest challenges: hand detection/tracking and sign language recognition.","This project is an accessibility software solution designed to bridge the communication gap between deaf/mute individuals and the general public. By leveraging deep learning models, the system captures real-time video input of sign language gestures, processes them to identify specific hand postures, and translates them into readable text or synthesized speech, thereby facilitating seamless interaction in various environments like hospitals, schools, and public institutions.","Sign language relies on complex visual-manual articulations and specific hand postures that are difficult for automated systems to interpret accurately. Existing solutions often struggle with the challenges of real-time hand detection, tracking, and the high degree of similarity between different manual alphabet signs, which hinders effective communication for the deaf/mute community.","The team proposed a deep learning-based approach using the YOLO algorithm for robust hand detection and tracking, combined with Google's MobileNetV1 for accurate sign language gesture recognition. The system uses custom-trained datasets and data augmentation techniques to ensure high accuracy in identifying various hand poses and translating them into text or speech.","1. Improve mobile application usability and performance.
2. Improve system performance and reliability.
3. Create a mobile-friendly and accessible application.
4. Improve tracking accuracy and operational visibility.
5. Improve decision-making using artificial intelligence techniques.
6. Provide accurate and reliable functionality.","Interactive Sign Language Interpretation System: From sign language gestures to audible speech. The aim of this project is to implement an accessible, easy to use, inexpensive, and most importantly accurate sign language interpretation system that could be used by deaf/mute people to communicate with people who are not familiar with sign language, by converting the sign language gesture streams into either live text, or audible synthesized speech in real time. The project utilizes the state-of-the-art YOLO object detection algorithm, in combination with Google's MobileNetV1 to solve the two hardest challenges: hand detection/tracking and sign language recognition.. This project is an accessibility software solution designed to bridge the communication gap between deaf/mute individuals and the general public. By leveraging deep learning models, the system captures real-time video input of sign language gestures, processes them to identify specific hand postures, and translates them into readable text or synthesized speech, thereby facilitating seamless interaction in various environments like hospitals, schools, and public institutions.",interactive sign language interpretation system from sign language gestures to audible speech. the aim of this project is to implement an accessible easy to use inexpensive and most importantly accurate sign language interpretation system that could be used by deaf/mute people to communicate with people who are not familiar with sign language by converting the sign language gesture streams into either live text or audible synthesized speech in real time. the project utilizes the state-of-the-art yolo object detection algorithm in combination with google s mobilenetv1 to solve the two hardest challenges hand detection/tracking and sign language recognition.. this project is an accessibility software solution designed to bridge the communication gap between deaf/mute individuals and the general public. by leveraging deep learning models the system captures real-time video input of sign language gestures processes them to identify specific hand postures and translates them into readable text or synthesized speech thereby facilitating seamless interaction in various environments like hospitals schools and public institutions.,161,"['language interpretation system', 'sign language interpretation', 'language gestures processes', 'sign language recognition.', 'audible synthesized speech', 'interactive sign language', 'importantly accurate sign', 'language gesture streams', 'sign language gestures', 'accurate sign language']",98.06
133,,IOT Smart Wheelchair,"Ahmed Elsayed Sabra, Ahmed Rafat AbdelWahab, Ahmed Awny Ahmed, Abdel Rahman Hemdan Abdel Rahman, Marwa Ashraf Elshahat, Marwa Mohamed Galal",2020,"There are many paralysis patients who suffer from the difficulty of using the chair for the traditional wheelchair, in addition to the fact that many of them also suffer from loneliness and the absence of anyone to care for them, based on that the idea of our project came. This project helps people with paralysis who have no one to look after them either. The wheelchair is moved via a joystick or an Android app that the patient uses to give four way movement commands (left, right, forward, or backward). The patient can also move the chair by voice commands using the same Android app. The wheelchair is equipped with an ultrasound sensor, If the chair falls in any direction, a message will be sent via the sensor to the hospital to obtain a rescue. The Global Positioning System (GPS) is used to send the exact location of an infected patient so that the hospital sends someone to rescue him. The wheelchair also has a sensor to sense the patient's body temperature. All patient data read by the sensors is sent to the hospital in order to send patient rescue when needed.","The project is a smart wheelchair designed for people with special needs or paralysis who lack constant supervision. It integrates IoT technology to allow the patient to control movement via a joystick, voice commands, or an Android mobile application. The chair is equipped with safety features including fall detection, GPS location tracking, and body temperature monitoring, all of which transmit data to a hospital or care agency to ensure immediate assistance in emergencies.",Traditional wheelchairs require significant physical effort from the patient and do not provide safety mechanisms for those who are alone. Patients are at risk of falling or experiencing medical emergencies without the ability to alert caregivers or provide their location for rescue.,"An IoT-enabled smart wheelchair that provides motorized movement controlled by the patient, combined with a suite of sensors (ultrasound for fall detection, temperature sensors, and GPS) that automatically communicate with a hospital or emergency service to provide real-time health and location data.","1. Provide accurate and reliable functionality.
2. Implement intelligent AI-based functionalities.
3. Enhance user experience and usability.
4. Enable real-time monitoring and tracking capabilities.
5. Improve overall productivity and workflow optimization.
6. Enable real-time monitoring using connected devices.
7. Reduce operational complexity and improve efficiency.
8. Improve tracking accuracy and operational visibility.","IOT Smart Wheelchair. There are many paralysis patients who suffer from the difficulty of using the chair for the traditional wheelchair, in addition to the fact that many of them also suffer from loneliness and the absence of anyone to care for them, based on that the idea of our project came. This project helps people with paralysis who have no one to look after them either. The wheelchair is moved via a joystick or an Android app that the patient uses to give four way movement commands (left, right, forward, or backward). The patient can also move the chair by voice commands using the same Android app. The wheelchair is equipped with an ultrasound sensor, If the chair falls in any direction, a message will be sent via the sensor to the hospital to obtain a rescue. The Global Positioning System (GPS) is used to send the exact location of an infected patient so that the hospital sends someone to rescue him. The wheelchair also has a sensor to sense the patient's body temperature. All patient data read by the sensors is sent to the hospital in order to send patient rescue when needed.. The project is a smart wheelchair designed for people with special needs or paralysis who lack constant supervision. It integrates IoT technology to allow the patient to control movement via a joystick, voice commands, or an Android mobile application. The chair is equipped with safety features including fall detection, GPS location tracking, and body temperature monitoring, all of which transmit data to a hospital or care agency to ensure immediate assistance in emergencies.",iot smart wheelchair. there are many paralysis patients who suffer from the difficulty of using the chair for the traditional wheelchair in addition to the fact that many of them also suffer from loneliness and the absence of anyone to care for them based on that the idea of our project came. this project helps people with paralysis who have no one to look after them either. the wheelchair is moved via a joystick or an android app that the patient uses to give four way movement commands left right forward or backward . the patient can also move the chair by voice commands using the same android app. the wheelchair is equipped with an ultrasound sensor if the chair falls in any direction a message will be sent via the sensor to the hospital to obtain a rescue. the global positioning system gps is used to send the exact location of an infected patient so that the hospital sends someone to rescue him. the wheelchair also has a sensor to sense the patient s body temperature. all patient data read by the sensors is sent to the hospital in order to send patient rescue when needed.. the project is a smart wheelchair designed for people with special needs or paralysis who lack constant supervision. it integrates iot technology to allow the patient to control movement via a joystick voice commands or an android mobile application. the chair is equipped with safety features including fall detection gps location tracking and body temperature monitoring all of which transmit data to a hospital or care agency to ensure immediate assistance in emergencies.,270,"['traditional wheelchair', 'suffer from loneliness', 'iot smart wheelchair', 'send patient rescue', 'paralysis patients', 'voice commands', 'android app']",96.72
134,,IS for Quality Assessment Process on Benha University,"Eslam Adel Hassan, Eslam Elsayed Farahat, Mohamed Sabry Ahmed, Mohamed Mansour Abdelaziz, Ahmed Ibrahim Elbatawy",2019,"The quality management and control process in the faculties is a complex and interrelated process that requires an electronic system to save time and cost in managing and documenting the quality process in each department. In accordance with the National Commission for Academic Evaluation and Accreditation, it facilitates the processing, Extraction and storage of statistics, information and documents of the university, colleges and Programs to support the processes and procedures of quality management, facilitate access to Final reports and compare performance on the different levels of the program, colleges and University to create a picture of the level of quality. The system applies the principle of 'Quality is the responsibility of all' where the system distributes roles and tasks to all parties in the educational process of students, faculty members, academic leaders and employees. The System provides a page for all parties with the tasks, tasks entrusted to him by the quality. This gives the High Staff of the faculty the ability to perform their tasks and functions over the Internet away from the Department of paper administration that wastes time and effort. We are now in the era of technology and most of our tasks must be transferred to this trend.","This project proposes an integrated Information System (IS) designed to digitize and streamline the quality management and accreditation processes at Benha University. By transitioning from traditional paper-based administration to a centralized electronic platform, the system enables efficient documentation, real-time data processing, and transparent task distribution among faculty, staff, and academic leadership. The platform ensures institutional compliance with the standards set by the National Authority for Academic Evaluation and Accreditation.","The process of quality management and control in the faculties is a complex and interrelated process that requires an electronic system to save time and cost in managing and documenting the quality process in each department and thus the ease and speed of reporting. The system aims to facilitate the programs that manage the annual operations in the field of Quality assurance to ensure that the quality management systems are compatible with Requirements of the National Authority for Academic Evaluation and Accreditation. So this project will solve: The difficulty of introducing, processing, extracting and storing statistics, information and documents for the university and colleges. The difficulty of obtaining final reports and comparing performance at the level of programs, colleges and university to create a picture of the quality level. The difficulty of distributing roles and tasks to all parties in the educational process. Lack of knowledge in management. Lack of well-defined task and procedure.","The project provides a centralized web-based platform that automates the collection, storage, and analysis of academic quality data. It replaces manual, time-consuming administrative tasks with a structured digital workflow that assigns specific roles to stakeholders, facilitates the generation of performance reports, and ensures that all quality-related procedures align with national accreditation requirements.","1. Enhance user experience and usability.
2. Provide accurate and reliable functionality.
3. Improve learning experience and educational accessibility.
4. Improve workflow and management efficiency.
5. Develop a scalable and maintainable solution.
6. Reduce operational complexity and improve efficiency.
7. Improve system performance and reliability.
8. Provide interactive educational tools and resources.","IS for Quality Assessment Process on Benha University. The quality management and control process in the faculties is a complex and interrelated process that requires an electronic system to save time and cost in managing and documenting the quality process in each department. In accordance with the National Commission for Academic Evaluation and Accreditation, it facilitates the processing, Extraction and storage of statistics, information and documents of the university, colleges and Programs to support the processes and procedures of quality management, facilitate access to Final reports and compare performance on the different levels of the program, colleges and University to create a picture of the level of quality. The system applies the principle of 'Quality is the responsibility of all' where the system distributes roles and tasks to all parties in the educational process of students, faculty members, academic leaders and employees. The System provides a page for all parties with the tasks, tasks entrusted to him by the quality. This gives the High Staff of the faculty the ability to perform their tasks and functions over the Internet away from the Department of paper administration that wastes time and effort. We are now in the era of technology and most of our tasks must be transferred to this trend.. This project proposes an integrated Information System (IS) designed to digitize and streamline the quality management and accreditation processes at Benha University. By transitioning from traditional paper-based administration to a centralized electronic platform, the system enables efficient documentation, real-time data processing, and transparent task distribution among faculty, staff, and academic leadership. The platform ensures institutional compliance with the standards set by the National Authority for Academic Evaluation and Accreditation.",is for quality assessment process on benha university. the quality management and control process in the faculties is a complex and interrelated process that requires an electronic system to save time and cost in managing and documenting the quality process in each department. in accordance with the national commission for academic evaluation and accreditation it facilitates the processing extraction and storage of statistics information and documents of the university colleges and programs to support the processes and procedures of quality management facilitate access to final reports and compare performance on the different levels of the program colleges and university to create a picture of the level of quality. the system applies the principle of quality is the responsibility of all where the system distributes roles and tasks to all parties in the educational process of students faculty members academic leaders and employees. the system provides a page for all parties with the tasks tasks entrusted to him by the quality. this gives the high staff of the faculty the ability to perform their tasks and functions over the internet away from the department of paper administration that wastes time and effort. we are now in the era of technology and most of our tasks must be transferred to this trend.. this project proposes an integrated information system is designed to digitize and streamline the quality management and accreditation processes at benha university. by transitioning from traditional paper-based administration to a centralized electronic platform the system enables efficient documentation real-time data processing and transparent task distribution among faculty staff and academic leadership. the platform ensures institutional compliance with the standards set by the national authority for academic evaluation and accreditation.,279,"['quality management facilitate', 'management facilitate access', 'evaluation and accreditation', 'quality assessment process', 'tasks tasks entrusted', 'interrelated process', 'academic evaluation', 'university colleges', 'quality process', 'control process']",99.03
135,,Islamic Arabic Mirath Application,"Kareem Emad Nashed, Kareem Ahmed Sayed, Hisham Reda Saad, Ahmed Shaban Mohamed, Abanoub Reda Abd-Almalak, Ahmed Mohamed Ali, Mohamed Mostafa Sayed",2023,"Nowadays, and with the technological revolution we live in, there are a lot of Muslims who aren't aware of the importance of the inheritance laws and Islam so, the Mirath calculator project aims to develop a mobile application to calculate the portion and value of Mirath based on laws that came in Qur'an and Sunnah. The project will be a mobile application that aims to facilitate the understanding and calculation of inheritance in Islam. It provides an innovative technical and educational solution for individuals who wish to understand the legal inheritance rules and regulations. Thanks to this application, users can calculate the inheritance in an accurate and fair manner, which contributes to avoiding potential disputes and disagreements between family members. The AI chat built into the app is a powerful and useful addition. Where users can ask questions and inquiries related to inheritance in Islam and get fast and reliable answers from artificial intelligence. Answers are provided based on reliable legal information and sources in Islam.","The Islamic Arabic Mirath Application is a mobile-based platform designed to simplify the complex process of calculating Islamic inheritance (Mirath). It combines a precise calculation engine based on Sharia law with an AI-powered chatbot to provide users with reliable answers to legal inquiries, aiming to foster family harmony and prevent disputes over wealth distribution.","Family discord has risen due to a lack of awareness about inheritance laws and the proper distribution of wealth according to Islamic Sharia. Many individuals struggle to calculate inheritance shares accurately, leading to potential conflicts and disagreements among family members.","A mobile application that provides an intuitive, user-friendly interface for calculating inheritance shares accurately based on Islamic law. The system incorporates an AI chatbot to answer user questions regarding inheritance and includes features to generate and save reports as PDFs.","1. Reduce operational complexity and improve efficiency.
2. Enhance user experience and usability.
3. Improve system performance and reliability.
4. Improve mobile application usability and performance.
5. Implement modern technologies and best practices.
6. Provide accurate and reliable functionality.","Islamic Arabic Mirath Application. Nowadays, and with the technological revolution we live in, there are a lot of Muslims who aren't aware of the importance of the inheritance laws and Islam so, the Mirath calculator project aims to develop a mobile application to calculate the portion and value of Mirath based on laws that came in Qur'an and Sunnah. The project will be a mobile application that aims to facilitate the understanding and calculation of inheritance in Islam. It provides an innovative technical and educational solution for individuals who wish to understand the legal inheritance rules and regulations. Thanks to this application, users can calculate the inheritance in an accurate and fair manner, which contributes to avoiding potential disputes and disagreements between family members. The AI chat built into the app is a powerful and useful addition. Where users can ask questions and inquiries related to inheritance in Islam and get fast and reliable answers from artificial intelligence. Answers are provided based on reliable legal information and sources in Islam.. The Islamic Arabic Mirath Application is a mobile-based platform designed to simplify the complex process of calculating Islamic inheritance (Mirath). It combines a precise calculation engine based on Sharia law with an AI-powered chatbot to provide users with reliable answers to legal inquiries, aiming to foster family harmony and prevent disputes over wealth distribution.",islamic arabic mirath application. nowadays and with the technological revolution we live in there are a lot of muslims who aren t aware of the importance of the inheritance laws and islam so the mirath calculator project aims to develop a mobile application to calculate the portion and value of mirath based on laws that came in qur an and sunnah. the project will be a mobile application that aims to facilitate the understanding and calculation of inheritance in islam. it provides an innovative technical and educational solution for individuals who wish to understand the legal inheritance rules and regulations. thanks to this application users can calculate the inheritance in an accurate and fair manner which contributes to avoiding potential disputes and disagreements between family members. the ai chat built into the app is a powerful and useful addition. where users can ask questions and inquiries related to inheritance in islam and get fast and reliable answers from artificial intelligence. answers are provided based on reliable legal information and sources in islam.. the islamic arabic mirath application is a mobile-based platform designed to simplify the complex process of calculating islamic inheritance mirath . it combines a precise calculation engine based on sharia law with an ai-powered chatbot to provide users with reliable answers to legal inquiries aiming to foster family harmony and prevent disputes over wealth distribution.,227,"['islamic inheritance mirath', 'arabic mirath application', 'mirath calculator project', 'calculator project aims', 'islamic arabic mirath', 'mobile application', 'reliable answers', 'mirath based']",100.0
136,,Jaundice Detection in Infants,"Abdelrahman Mohamed Ali, Ahmed Mohamed Mohamed Hekal, Ayman Salameh Mohamed, Lotfy Khattab Hassan, Manar Mahmoud Elnoby, Sobhy Ehab Sobhy",2024,"An application to detect Jaundice disease in infants, it's one of the most common diseases in newborns. Neonatal jaundice is a common condition that occurs in newborn infants in the first week of life. So, we need to classify between the children with jaundice and the normal children. Some of the available solutions are specialized children's hospitals, where parents of children with jaundice resort to these hospitals to examine the children and to make sure if they need medical analysis to ensure their safety and the extent of the effect of jaundice on them. The solution that we offer is an application that works on pictures of children that the user enters to discover whether the children have jaundice or not. They are infected with jaundice and follow-up on them periodically, which reduces the serious impact that the disease may cause if it worsens and increases with time.","This project is a web-based application that utilizes Artificial Intelligence and Computer Vision to assist parents and medical professionals in the early detection of neonatal jaundice. By analyzing images of infants, the system classifies whether the infant shows signs of jaundice, providing a non-invasive, accessible screening tool to prevent serious complications like brain damage.","Neonatal jaundice is a common condition that requires timely detection to prevent severe health complications. Current diagnostic methods often rely on invasive blood tests or specialized clinical equipment, which may not be immediately accessible or convenient for parents, leading to potential delays in diagnosis.","A web-based application powered by a Convolutional Neural Network (CNN) model that analyzes images of infants to detect signs of jaundice. This non-invasive approach allows for early screening and periodic monitoring, helping parents identify the need for professional medical intervention.","1. Improve accessibility across different devices and platforms.
2. Implement intelligent AI-based functionalities.
3. Reduce operational complexity and improve efficiency.
4. Improve decision-making using artificial intelligence techniques.
5. Improve system performance and reliability.
6. Enhance user experience and usability.
7. Implement modern technologies and best practices.","Jaundice Detection in Infants. An application to detect Jaundice disease in infants, it's one of the most common diseases in newborns. Neonatal jaundice is a common condition that occurs in newborn infants in the first week of life. So, we need to classify between the children with jaundice and the normal children. Some of the available solutions are specialized children's hospitals, where parents of children with jaundice resort to these hospitals to examine the children and to make sure if they need medical analysis to ensure their safety and the extent of the effect of jaundice on them. The solution that we offer is an application that works on pictures of children that the user enters to discover whether the children have jaundice or not. They are infected with jaundice and follow-up on them periodically, which reduces the serious impact that the disease may cause if it worsens and increases with time.. This project is a web-based application that utilizes Artificial Intelligence and Computer Vision to assist parents and medical professionals in the early detection of neonatal jaundice. By analyzing images of infants, the system classifies whether the infant shows signs of jaundice, providing a non-invasive, accessible screening tool to prevent serious complications like brain damage.",jaundice detection in infants. an application to detect jaundice disease in infants it s one of the most common diseases in newborns. neonatal jaundice is a common condition that occurs in newborn infants in the first week of life. so we need to classify between the children with jaundice and the normal children. some of the available solutions are specialized children s hospitals where parents of children with jaundice resort to these hospitals to examine the children and to make sure if they need medical analysis to ensure their safety and the extent of the effect of jaundice on them. the solution that we offer is an application that works on pictures of children that the user enters to discover whether the children have jaundice or not. they are infected with jaundice and follow-up on them periodically which reduces the serious impact that the disease may cause if it worsens and increases with time.. this project is a web-based application that utilizes artificial intelligence and computer vision to assist parents and medical professionals in the early detection of neonatal jaundice. by analyzing images of infants the system classifies whether the infant shows signs of jaundice providing a non-invasive accessible screening tool to prevent serious complications like brain damage.,208,"['detect jaundice disease', 'children with jaundice', 'neonatal jaundice', 'occurs in newborn', 'newborn infants', 'common diseases', 'jaundice resort', 'infant shows']",94.79
137,,JeeLMS Learning Management System,"Ali Mohamed Abdelaziz Mohamed, Saif Mahmoud Mohamed Shakran, Ahmed Said Abdelkader Abdelwahab, Ahmed Sherif Yahia Mostafa, Taghreed Abdelrazed Hamed Ahmed, Rana Youssef Abdelhaleem mohamed, Sohila Ehab Abdelraouf Aboelazm, Ahmed Yousef Gbreel Abdelrady, Mohamed HossamEldeen Adel Ahmed",2024,"JeeLMS is an educational platform designed to simplify classroom management and enhance learning experiences through virtual spaces. At its core, the system introduces a concept of digital ""spaces"" that serve as contained environments where educational activities take place. These spaces allow educators to manage classes, create assessments, and interact with students through a unified interface. The platform addresses common educational workflow challenges by providing integrated tools for attendance tracking, assignment management, quiz administration, and resource sharing. Built with both web and mobile interfaces, JEELMS ensures consistent access across different devices, accommodating the varied needs of users in educational settings. Our system architecture emphasizes modularity and scalability, implementing secure user authentication, role-based access control, and real-time data synchronization. The platform features a straightforward user interface that reduces technical barriers, making digital education tools accessible to users with varying levels of technical expertise. By consolidating essential educational functions into a single platform, JEELMS aims to streamline administrative tasks and enhance communication between educators and students.","JeeLMS is a comprehensive Learning Management System designed to streamline educational workflows. It provides a centralized digital environment for classroom management, including features for attendance, assignments, quizzes, and resource sharing. The project also incorporates advanced multimedia localization features, specifically focusing on video dubbing from English to Arabic to improve accessibility and cultural relevance for students.","Educational institutions face challenges in managing classroom workflows, tracking student progress, and providing accessible, culturally relevant learning materials. Existing systems often lack integrated tools for seamless communication and multimedia localization, creating barriers for students who require content in their native language.","The project proposes a modular and scalable web-based Learning Management System (JeeLMS) that integrates administrative tools with advanced video dubbing capabilities. By providing a unified interface for educators and students, the system facilitates efficient classroom management while using deep learning and dubbing technologies to translate educational content, thereby improving accessibility and language comprehension.","1. Improve overall productivity and workflow optimization.
2. Improve system performance and reliability.
3. Reduce operational complexity and improve efficiency.
4. Implement modern technologies and best practices.
5. Optimize resource allocation and task management.
6. Support future scalability and feature expansion.
7. Improve decision-making using artificial intelligence techniques.","JeeLMS Learning Management System. JeeLMS is an educational platform designed to simplify classroom management and enhance learning experiences through virtual spaces. At its core, the system introduces a concept of digital ""spaces"" that serve as contained environments where educational activities take place. These spaces allow educators to manage classes, create assessments, and interact with students through a unified interface. The platform addresses common educational workflow challenges by providing integrated tools for attendance tracking, assignment management, quiz administration, and resource sharing. Built with both web and mobile interfaces, JEELMS ensures consistent access across different devices, accommodating the varied needs of users in educational settings. Our system architecture emphasizes modularity and scalability, implementing secure user authentication, role-based access control, and real-time data synchronization. The platform features a straightforward user interface that reduces technical barriers, making digital education tools accessible to users with varying levels of technical expertise. By consolidating essential educational functions into a single platform, JEELMS aims to streamline administrative tasks and enhance communication between educators and students.. JeeLMS is a comprehensive Learning Management System designed to streamline educational workflows. It provides a centralized digital environment for classroom management, including features for attendance, assignments, quizzes, and resource sharing. The project also incorporates advanced multimedia localization features, specifically focusing on video dubbing from English to Arabic to improve accessibility and cultural relevance for students.",jeelms learning management system. jeelms is an educational platform designed to simplify classroom management and enhance learning experiences through virtual spaces. at its core the system introduces a concept of digital spaces that serve as contained environments where educational activities take place. these spaces allow educators to manage classes create assessments and interact with students through a unified interface. the platform addresses common educational workflow challenges by providing integrated tools for attendance tracking assignment management quiz administration and resource sharing. built with both web and mobile interfaces jeelms ensures consistent access across different devices accommodating the varied needs of users in educational settings. our system architecture emphasizes modularity and scalability implementing secure user authentication role-based access control and real-time data synchronization. the platform features a straightforward user interface that reduces technical barriers making digital education tools accessible to users with varying levels of technical expertise. by consolidating essential educational functions into a single platform jeelms aims to streamline administrative tasks and enhance communication between educators and students.. jeelms is a comprehensive learning management system designed to streamline educational workflows. it provides a centralized digital environment for classroom management including features for attendance assignments quizzes and resource sharing. the project also incorporates advanced multimedia localization features specifically focusing on video dubbing from english to arabic to improve accessibility and cultural relevance for students.,222,"['comprehensive learning management', 'enhance learning experiences', 'learning management system', 'jeelms learning management', 'classroom management', 'resource sharing']",88.73
138,,Kaleem,"Yousef Mahmoud Yousef, Hossam Hamdy Tawffiq, Ahmed Mahmoud Gouda, Toqa Gamal Mohamed, Habiba Elsayed Gouda",2023,"This project focuses on creating an application that will facilitate communication between deaf people. The application will be designed to enable users to communicate through text, video, and audio. It will also provide a platform for users to share documents, photos, and videos. The application will be designed with accessibility features for the deaf community in mind, such as captioning of audio/video content and support for sign language. Additionally, the application will include features such as group chat rooms, reminders and notifications, and the ability to search for other deaf people in the area. This project aims to create an accessible platform that can help bridge the communication gap between deaf people. The application will also provide a platform for users to connect with each other, share resources, and access relevant information about the deaf community. The goal of this project is to create an easy-to-use meeting application that can help bridge the communication gap between deaf and hearing individuals. By providing an accessible platform for communication, the application can help improve the quality of life of deaf individuals by allowing them to participate in meaningful conversations and exchanges with others. This graduation project seeks to create an accessible and inclusive solution for deaf people so that they can participate in meetings with ease and confidence.","The ability to communicate effectively is a fundamental aspect of human interaction, allowing individuals to convey their thoughts, emotions, and ideas. However, for individuals who are deaf or hard of hearing, traditional methods of communication can present significant challenges. Recognizing this issue, our graduation project aims to address the communication barriers faced by the deaf community by developing a video call application specifically designed to facilitate seamless and accessible communication. The project also emphasizes the importance of user experience and usability. We have designed the application to be intuitive and user-friendly, ensuring that both deaf and hearing users can navigate the platform effortlessly. Additionally, we have incorporated features such as adjustable camera angles and customizable display options to accommodate various communication preferences and optimize the user experience. In the following sections and chapters, we will delve into the technical aspects, implementation details, and evaluation of our video call application. We will discuss the underlying technologies employed, the challenges encountered during development, and the future possibilities for expanding and improving our solution.","Deaf individuals face communication challenges when interacting with people who do not understand sign language. Current communication methods, such as written notes or interpreters, are often cumbersome and limit spontaneous conversations. This leads to social isolation and restricted participation in various aspects of life. To address this, our graduation project focuses on developing a video call application that translates sign language into text in real-time. By using the application's camera, deaf users can express themselves through sign language, which is then instantly converted to text for the recipient to understand. This application aims to bridge the communication gap and enable seamless communication between deaf and hearing individuals.","The project, titled 'Kaleem', is a specialized video conferencing platform designed to bridge the communication gap between deaf and hearing individuals. It integrates advanced assistive technologies, including real-time sign language-to-text translation and voice-to-text conversion, to facilitate seamless interaction. The application features an intuitive, accessible user interface with customizable display options and camera settings to ensure that users can participate in meetings and social exchanges with ease and confidence.","1. Reduce operational complexity and improve efficiency.
2. Support future scalability and feature expansion.
3. Improve system performance and reliability.
4. Provide accurate and reliable functionality.
5. Implement intelligent AI-based functionalities.
6. Enhance user experience and usability.","Kaleem. This project focuses on creating an application that will facilitate communication between deaf people. The application will be designed to enable users to communicate through text, video, and audio. It will also provide a platform for users to share documents, photos, and videos. The application will be designed with accessibility features for the deaf community in mind, such as captioning of audio/video content and support for sign language. Additionally, the application will include features such as group chat rooms, reminders and notifications, and the ability to search for other deaf people in the area. This project aims to create an accessible platform that can help bridge the communication gap between deaf people. The application will also provide a platform for users to connect with each other, share resources, and access relevant information about the deaf community. The goal of this project is to create an easy-to-use meeting application that can help bridge the communication gap between deaf and hearing individuals. By providing an accessible platform for communication, the application can help improve the quality of life of deaf individuals by allowing them to participate in meaningful conversations and exchanges with others. This graduation project seeks to create an accessible and inclusive solution for deaf people so that they can participate in meetings with ease and confidence.. The ability to communicate effectively is a fundamental aspect of human interaction, allowing individuals to convey their thoughts, emotions, and ideas. However, for individuals who are deaf or hard of hearing, traditional methods of communication can present significant challenges. Recognizing this issue, our graduation project aims to address the communication barriers faced by the deaf community by developing a video call application specifically designed to facilitate seamless and accessible communication. The project also emphasizes the importance of user experience and usability. We have designed the application to be intuitive and user-friendly, ensuring that both deaf and hearing users can navigate the platform effortlessly. Additionally, we have incorporated features such as adjustable camera angles and customizable display options to accommodate various communication preferences and optimize the user experience. In the following sections and chapters, we will delve into the technical aspects, implementation details, and evaluation of our video call application. We will discuss the underlying technologies employed, the challenges encountered during development, and the future possibilities for expanding and improving our solution.",kaleem. this project focuses on creating an application that will facilitate communication between deaf people. the application will be designed to enable users to communicate through text video and audio. it will also provide a platform for users to share documents photos and videos. the application will be designed with accessibility features for the deaf community in mind such as captioning of audio/video content and support for sign language. additionally the application will include features such as group chat rooms reminders and notifications and the ability to search for other deaf people in the area. this project aims to create an accessible platform that can help bridge the communication gap between deaf people. the application will also provide a platform for users to connect with each other share resources and access relevant information about the deaf community. the goal of this project is to create an easy-to-use meeting application that can help bridge the communication gap between deaf and hearing individuals. by providing an accessible platform for communication the application can help improve the quality of life of deaf individuals by allowing them to participate in meaningful conversations and exchanges with others. this graduation project seeks to create an accessible and inclusive solution for deaf people so that they can participate in meetings with ease and confidence.. the ability to communicate effectively is a fundamental aspect of human interaction allowing individuals to convey their thoughts emotions and ideas. however for individuals who are deaf or hard of hearing traditional methods of communication can present significant challenges. recognizing this issue our graduation project aims to address the communication barriers faced by the deaf community by developing a video call application specifically designed to facilitate seamless and accessible communication. the project also emphasizes the importance of user experience and usability. we have designed the application to be intuitive and user-friendly ensuring that both deaf and hearing users can navigate the platform effortlessly. additionally we have incorporated features such as adjustable camera angles and customizable display options to accommodate various communication preferences and optimize the user experience. in the following sections and chapters we will delve into the technical aspects implementation details and evaluation of our video call application. we will discuss the underlying technologies employed the challenges encountered during development and the future possibilities for expanding and improving our solution.,388,"['video call application', 'accessible platform', 'communication gap', 'deaf community', 'project aims', 'deaf people']",67.59
139,,KIDS ZONE: Where Learning Meets Innovation,"Aya Mahmoud Saber, Abdallah Ahmed Hussien, Ahmed Nabil Elsayed, Andrawes Aisr Adolf, Eman Ibrahim Abdelhalim, Khaled Ahmed Hamed, Said Reda Mohamed, Ranim Samir Atef",2024,"The KidsZone project leverages artificial intelligence and computer vision technologies to create an interactive and engaging educational platform for children, particularly benefiting those with carpal tunnel syndrome. This innovative project is accessible via both website and mobile application, providing a variety of services designed to enhance learning and entertainment. Key features include air writing recognition, which allows children to write letters and numbers in the air that are accurately captured and displayed on a screen. This feature helps children practice handwriting in a fun, less physically demanding manner, making it ideal for those with carpal tunnel syndrome. The word recognition and image display feature enables kids to write words, with the system recognizing these and displaying corresponding images, enhancing their vocabulary and comprehension skills. A curated selection of video stories offers both educational and entertaining content, fostering a love for reading and learning while providing a screen-time option that is both enjoyable and beneficial. Additionally, children can draw pictures on the platform, which uses AI to predict and identify the images, encouraging creativity and artistic expression while providing instant feedback and helping to develop their drawing skills.","KidsZone is a comprehensive educational and entertainment platform designed to support children's development, with a specific focus on inclusivity for children suffering from carpal tunnel syndrome. By utilizing computer vision and AI, the platform allows children to interact with digital content through air writing, drawing, and voice commands, bypassing the physical strain of traditional input methods. It provides a personalized learning journey with adjustable text sizes and customizable content tailored to individual interests, aiming to foster creativity, skill development, and cognitive growth in an enjoyable environment.","The prevalence of electronic devices has led to a surge in health issues among children, such as carpal tunnel syndrome, which impacts their ability to engage in traditional writing and drawing activities, thereby hindering their physical well-being and learning development.","The project proposes an interactive platform that uses computer vision and AI to allow children to interact with educational content through air writing, drawing, and voice commands. This approach removes the physical barriers associated with traditional input devices, enabling children to learn and express creativity without physical strain.","1. Support future scalability and feature expansion.
2. Implement modern technologies and best practices.
3. Improve mobile application usability and performance.
4. Enhance user experience and usability.
5. Provide accurate and reliable functionality.
6. Improve overall productivity and workflow optimization.
7. Develop a scalable and maintainable solution.","KIDS ZONE: Where Learning Meets Innovation. The KidsZone project leverages artificial intelligence and computer vision technologies to create an interactive and engaging educational platform for children, particularly benefiting those with carpal tunnel syndrome. This innovative project is accessible via both website and mobile application, providing a variety of services designed to enhance learning and entertainment. Key features include air writing recognition, which allows children to write letters and numbers in the air that are accurately captured and displayed on a screen. This feature helps children practice handwriting in a fun, less physically demanding manner, making it ideal for those with carpal tunnel syndrome. The word recognition and image display feature enables kids to write words, with the system recognizing these and displaying corresponding images, enhancing their vocabulary and comprehension skills. A curated selection of video stories offers both educational and entertaining content, fostering a love for reading and learning while providing a screen-time option that is both enjoyable and beneficial. Additionally, children can draw pictures on the platform, which uses AI to predict and identify the images, encouraging creativity and artistic expression while providing instant feedback and helping to develop their drawing skills.. KidsZone is a comprehensive educational and entertainment platform designed to support children's development, with a specific focus on inclusivity for children suffering from carpal tunnel syndrome. By utilizing computer vision and AI, the platform allows children to interact with digital content through air writing, drawing, and voice commands, bypassing the physical strain of traditional input methods. It provides a personalized learning journey with adjustable text sizes and customizable content tailored to individual interests, aiming to foster creativity, skill development, and cognitive growth in an enjoyable environment.",kids zone where learning meets innovation. the kidszone project leverages artificial intelligence and computer vision technologies to create an interactive and engaging educational platform for children particularly benefiting those with carpal tunnel syndrome. this innovative project is accessible via both website and mobile application providing a variety of services designed to enhance learning and entertainment. key features include air writing recognition which allows children to write letters and numbers in the air that are accurately captured and displayed on a screen. this feature helps children practice handwriting in a fun less physically demanding manner making it ideal for those with carpal tunnel syndrome. the word recognition and image display feature enables kids to write words with the system recognizing these and displaying corresponding images enhancing their vocabulary and comprehension skills. a curated selection of video stories offers both educational and entertaining content fostering a love for reading and learning while providing a screen-time option that is both enjoyable and beneficial. additionally children can draw pictures on the platform which uses ai to predict and identify the images encouraging creativity and artistic expression while providing instant feedback and helping to develop their drawing skills.. kidszone is a comprehensive educational and entertainment platform designed to support children s development with a specific focus on inclusivity for children suffering from carpal tunnel syndrome. by utilizing computer vision and ai the platform allows children to interact with digital content through air writing drawing and voice commands bypassing the physical strain of traditional input methods. it provides a personalized learning journey with adjustable text sizes and customizable content tailored to individual interests aiming to foster creativity skill development and cognitive growth in an enjoyable environment.,280,"['leverages artificial intelligence', 'engaging educational platform', 'project leverages artificial', 'kidszone project leverages', 'learning meets innovation', 'carpal tunnel syndrome.', 'computer vision', 'air writing', 'kids zone']",100.0
140,,Laptop Security Management System,"Mohamed Khaled Negm, Aya Mohamed Abo el enin, Rania Atef Mohamed, Ola Saleh Mohamed, Ebrahim Malek",2024,"The main idea of our project is protecting the laptop from theft or loss by using Raspberry Pi, an Android application, and a web service. Our project not only helps you to protect your laptop but in the worst case (if the laptop has been stolen), you can track it and easily find the laptop's location. In general, you can open the camera for taking photos, but what is important is to control the use of important data by encrypting it until the laptop is recovered or tracked, not only in the case of theft.","The Laptop Security Management System is an integrated solution designed to safeguard laptops against theft. It combines hardware (Raspberry Pi) with software (Android app and web service) to provide real-time tracking, remote camera access for surveillance, and data encryption capabilities to protect sensitive information if the device is compromised.","Theft is a persistent criminal behavior, and traditional methods of prevention are often insufficient or lack modern technological integration. Users need a reliable, cost-effective, and easy-to-use system to protect their hardware and sensitive data from unauthorized access or theft.","The project proposes an innovative embedded system that integrates a Raspberry Pi with a mobile application and web service. This system allows users to monitor their laptop's status, track its physical location, capture images of unauthorized users via a camera, and remotely encrypt sensitive data to prevent unauthorized access.","1. Enhance system security and protect sensitive user data.
2. Develop a scalable and maintainable solution.
3. Implement secure authentication and authorization mechanisms.
4. Improve overall productivity and workflow optimization.
5. Improve accessibility across different devices and platforms.
6. Enhance user experience and usability.
7. Implement modern technologies and best practices.
8. Provide accurate and reliable functionality.","Laptop Security Management System. The main idea of our project is protecting the laptop from theft or loss by using Raspberry Pi, an Android application, and a web service. Our project not only helps you to protect your laptop but in the worst case (if the laptop has been stolen), you can track it and easily find the laptop's location. In general, you can open the camera for taking photos, but what is important is to control the use of important data by encrypting it until the laptop is recovered or tracked, not only in the case of theft.. The Laptop Security Management System is an integrated solution designed to safeguard laptops against theft. It combines hardware (Raspberry Pi) with software (Android app and web service) to provide real-time tracking, remote camera access for surveillance, and data encryption capabilities to protect sensitive information if the device is compromised.",laptop security management system. the main idea of our project is protecting the laptop from theft or loss by using raspberry pi an android application and a web service. our project not only helps you to protect your laptop but in the worst case if the laptop has been stolen you can track it and easily find the laptop s location. in general you can open the camera for taking photos but what is important is to control the use of important data by encrypting it until the laptop is recovered or tracked not only in the case of theft.. the laptop security management system is an integrated solution designed to safeguard laptops against theft. it combines hardware raspberry pi with software android app and web service to provide real-time tracking remote camera access for surveillance and data encryption capabilities to protect sensitive information if the device is compromised.,149,"['laptop security management', 'security management system', 'safeguard laptops', 'web service', 'main idea']",95.41
141,,Last Hope Game,"Ahmed Taha Ahmed, Esraa Ata Mohammed, Hassan Hassan Mohammed, Hossam Hassan Mahmoud, Israa Helmy El.Sayed, Marian Samy Sedhom",2017,"The project explores the concept of life on planets other than Earth, specifically focusing on the potential for life on Mars. It investigates the scientific possibility of extraterrestrial life and simulates potential conflicts between humans and alien beings through an interactive game environment.","Last Hope Game is a 3D interactive project that simulates a futuristic scenario involving space exploration and potential encounters with extraterrestrial life. The project covers the entire game development lifecycle, from pre-production and conceptualization to 3D asset creation and game design implementation.","There is a lack of interactive educational and entertainment simulations that explore the scientific theories and hypothetical scenarios regarding life on other planets, specifically Mars, and the potential implications of human-alien contact.",The team developed a 3D game titled 'Last Hope Game' that serves as a platform to visualize and simulate the discovery of life on Mars and the subsequent challenges and conflicts that might arise between human explorers and alien entities.,"1. Enhance user experience and usability.
2. Improve system performance and reliability.
3. Provide accurate and reliable functionality.
4. Implement modern technologies and best practices.
5. Improve overall productivity and workflow optimization.
6. Reduce operational complexity and improve efficiency.
7. Support future scalability and feature expansion.","Last Hope Game. The project explores the concept of life on planets other than Earth, specifically focusing on the potential for life on Mars. It investigates the scientific possibility of extraterrestrial life and simulates potential conflicts between humans and alien beings through an interactive game environment.. Last Hope Game is a 3D interactive project that simulates a futuristic scenario involving space exploration and potential encounters with extraterrestrial life. The project covers the entire game development lifecycle, from pre-production and conceptualization to 3D asset creation and game design implementation.",last hope game. the project explores the concept of life on planets other than earth specifically focusing on the potential for life on mars. it investigates the scientific possibility of extraterrestrial life and simulates potential conflicts between humans and alien beings through an interactive game environment.. last hope game is a 3d interactive project that simulates a futuristic scenario involving space exploration and potential encounters with extraterrestrial life. the project covers the entire game development lifecycle from pre-production and conceptualization to 3d asset creation and game design implementation.,88,"['interactive game environment.', 'simulates potential conflicts', 'earth specifically focusing', 'extraterrestrial life', 'explores the concept', 'interactive project', 'project explores', 'hope game']",100.0
142,,Leadership Development Program,"Abdelmawgoud Mohammed, Ahmed Sobhi, Ibrahim Mosad, Hussein Mahmoud",2026,"The Leadership Development Program is a comprehensive web-based platform designed to identify, nurture, and showcase individual capabilities and talents. By leveraging a modern technology stack including Laravel and PHP, the system provides a user-friendly interface that facilitates engagement and growth for participants. This project aims to enhance organizational leadership potential through a scalable digital solution that optimizes visitor interaction and program visibility.","This project is a web-based Leadership Development Program aimed at fostering talent and leadership skills through a centralized digital platform. The system is built using a robust backend framework (Laravel/PHP) and a responsive frontend (HTML5, CSS, Bootstrap, JavaScript) to ensure accessibility for all user types. It serves as a hub for discovering individual potential, tracking program progress, and ensuring a distinct, successful user experience for those seeking leadership growth.","Many organizations and individuals struggle with the lack of a centralized, accessible platform to identify and cultivate leadership potential. Existing methods often suffer from poor user interfaces, low engagement, and a lack of visibility, which hinders the ability to effectively find and develop hidden talents and capabilities.","The project provides a streamlined, intuitive web application that acts as a digital leadership incubator. By implementing a responsive design and a high-performance backend, the platform simplifies the user experience, increases site traffic, and provides effective tools for identifying and nurturing talent, thereby ensuring the success and distinctiveness of the leadership program.","1. Implement intelligent AI-based functionalities.
2. Improve tracking accuracy and operational visibility.
3. Develop a scalable and maintainable solution.
4. Improve decision-making using artificial intelligence techniques.
5. Develop a responsive and user-friendly web application.","Leadership Development Program. The Leadership Development Program is a comprehensive web-based platform designed to identify, nurture, and showcase individual capabilities and talents. By leveraging a modern technology stack including Laravel and PHP, the system provides a user-friendly interface that facilitates engagement and growth for participants. This project aims to enhance organizational leadership potential through a scalable digital solution that optimizes visitor interaction and program visibility.. This project is a web-based Leadership Development Program aimed at fostering talent and leadership skills through a centralized digital platform. The system is built using a robust backend framework (Laravel/PHP) and a responsive frontend (HTML5, CSS, Bootstrap, JavaScript) to ensure accessibility for all user types. It serves as a hub for discovering individual potential, tracking program progress, and ensuring a distinct, successful user experience for those seeking leadership growth.",leadership development program. the leadership development program is a comprehensive web-based platform designed to identify nurture and showcase individual capabilities and talents. by leveraging a modern technology stack including laravel and php the system provides a user-friendly interface that facilitates engagement and growth for participants. this project aims to enhance organizational leadership potential through a scalable digital solution that optimizes visitor interaction and program visibility.. this project is a web-based leadership development program aimed at fostering talent and leadership skills through a centralized digital platform. the system is built using a robust backend framework laravel/php and a responsive frontend html5 css bootstrap javascript to ensure accessibility for all user types. it serves as a hub for discovering individual potential tracking program progress and ensuring a distinct successful user experience for those seeking leadership growth.,134,"['organizational leadership potential', 'enhance organizational leadership', 'web-based leadership development', 'comprehensive web-based platform', 'showcase individual capabilities', 'leadership development program', 'technology stack including', 'potential tracking program', 'development program aimed', 'seeking leadership growth', 'modern technology stack', 'stack including laravel', 'program visibility.']",100.0
143,,Learnaira (Interactive E-learning platform powered by AI),"Yahia Mohammed Mansour Hassan Hamza, Mohammed Sabry Mahmoud Shehabeldin, Hadi Rabee Kamel Alam Heikal, Eslam Hany Elsayed Zoghla, Taha Ebrahim Taha Ebrahim, Gamal Adel Gamal Khalifa, Soliman Mahmoud Soliman Elsayed, Fatma Ebrahim Kamel Ebrahim, Marwa Sayed Farghaly Sayed Ahmed",2024,"Our project encompasses an advanced electronic learning platform meticulously designed to elevate the educational experience. Within this innovative ecosystem, a seamless registration system and an intuitive enrollment process give students access to a rich range of courses, all expertly led by certified teachers. Each course listing is akin to a treasure trove of knowledge, brimming with comprehensive instructor profiles, course lengths, and invaluable peer reviews. This educational haven focuses on interactive learning and fosters a dynamic and collaborative environment through its group chat function. It also facilitates course evaluations and provides a platform for constructive feedback. It's important to highlight that the project integrates advanced artificial intelligence models, including question generation and answering, thus enhancing the depth and quality of the learning experience. These artificial intelligence models also contribute to creating a safe and respectful online educational space through an AI model designed to prevent the use of inappropriate language. Furthermore, our project offers a unique dimension where educators play a pivotal role in enriching the learning journey. They supplement their courses with educational videos, enhancing comprehension of the content. Additionally, all essential PDF materials are thoughtfully provided for comprehensive study throughout the course's duration. The innovation continues with the integration of a chatbot, designed to assist and guide users through any ambiguities or complexities within the course materials. This interactive element extends to AI-powered Text-to-Speech (TTS) technology, which converts text into speech, raising the overall quality and accessibility of educational content with greater accuracy. Complementing TTS, our Speech Recognition model opens up new avenues of engagement for individuals who may struggle with writing.","Learnaira is an interactive, AI-powered e-learning platform designed to democratize education by making it accessible, engaging, and personalized. The platform features a comprehensive suite of tools including video instruction, AI-based support, text-to-speech, and speech recognition to cater to diverse learning styles and accessibility needs. It streamlines the educational process for both instructors and students by automating administrative tasks like exam generation and grading, while fostering a collaborative environment through group discussions and real-time feedback.","Traditional e-learning environments often lack sufficient interactivity, leading to lower student engagement and retention. Additionally, instructors face significant burdens in manually creating and grading exams, which can be time-consuming and prone to human bias or error. Furthermore, existing platforms often lack accessibility features for users with disabilities or those who prefer alternative communication methods.","The project proposes a web-based, AI-driven e-learning platform that automates exam creation and grading using deep learning models (transformers) to interpret semantic meaning. It incorporates accessibility features like speech-to-text and text-to-speech, provides an AI chatbot for student support, and utilizes a secure, role-based architecture to ensure a safe and collaborative learning environment.","1. Implement modern technologies and best practices.
2. Improve learning experience and educational accessibility.
3. Provide accurate and reliable functionality.
4. Enhance user experience and usability.
5. Improve overall productivity and workflow optimization.
6. Reduce operational complexity and improve efficiency.
7. Implement intelligent AI-based functionalities.
8. Improve decision-making using artificial intelligence techniques.","Learnaira (Interactive E-learning platform powered by AI). Our project encompasses an advanced electronic learning platform meticulously designed to elevate the educational experience. Within this innovative ecosystem, a seamless registration system and an intuitive enrollment process give students access to a rich range of courses, all expertly led by certified teachers. Each course listing is akin to a treasure trove of knowledge, brimming with comprehensive instructor profiles, course lengths, and invaluable peer reviews. This educational haven focuses on interactive learning and fosters a dynamic and collaborative environment through its group chat function. It also facilitates course evaluations and provides a platform for constructive feedback. It's important to highlight that the project integrates advanced artificial intelligence models, including question generation and answering, thus enhancing the depth and quality of the learning experience. These artificial intelligence models also contribute to creating a safe and respectful online educational space through an AI model designed to prevent the use of inappropriate language. Furthermore, our project offers a unique dimension where educators play a pivotal role in enriching the learning journey. They supplement their courses with educational videos, enhancing comprehension of the content. Additionally, all essential PDF materials are thoughtfully provided for comprehensive study throughout the course's duration. The innovation continues with the integration of a chatbot, designed to assist and guide users through any ambiguities or complexities within the course materials. This interactive element extends to AI-powered Text-to-Speech (TTS) technology, which converts text into speech, raising the overall quality and accessibility of educational content with greater accuracy. Complementing TTS, our Speech Recognition model opens up new avenues of engagement for individuals who may struggle with writing.. Learnaira is an interactive, AI-powered e-learning platform designed to democratize education by making it accessible, engaging, and personalized. The platform features a comprehensive suite of tools including video instruction, AI-based support, text-to-speech, and speech recognition to cater to diverse learning styles and accessibility needs. It streamlines the educational process for both instructors and students by automating administrative tasks like exam generation and grading, while fostering a collaborative environment through group discussions and real-time feedback.",learnaira interactive e-learning platform powered by ai . our project encompasses an advanced electronic learning platform meticulously designed to elevate the educational experience. within this innovative ecosystem a seamless registration system and an intuitive enrollment process give students access to a rich range of courses all expertly led by certified teachers. each course listing is akin to a treasure trove of knowledge brimming with comprehensive instructor profiles course lengths and invaluable peer reviews. this educational haven focuses on interactive learning and fosters a dynamic and collaborative environment through its group chat function. it also facilitates course evaluations and provides a platform for constructive feedback. it s important to highlight that the project integrates advanced artificial intelligence models including question generation and answering thus enhancing the depth and quality of the learning experience. these artificial intelligence models also contribute to creating a safe and respectful online educational space through an ai model designed to prevent the use of inappropriate language. furthermore our project offers a unique dimension where educators play a pivotal role in enriching the learning journey. they supplement their courses with educational videos enhancing comprehension of the content. additionally all essential pdf materials are thoughtfully provided for comprehensive study throughout the course s duration. the innovation continues with the integration of a chatbot designed to assist and guide users through any ambiguities or complexities within the course materials. this interactive element extends to ai-powered text-to-speech tts technology which converts text into speech raising the overall quality and accessibility of educational content with greater accuracy. complementing tts our speech recognition model opens up new avenues of engagement for individuals who may struggle with writing.. learnaira is an interactive ai-powered e-learning platform designed to democratize education by making it accessible engaging and personalized. the platform features a comprehensive suite of tools including video instruction ai-based support text-to-speech and speech recognition to cater to diverse learning styles and accessibility needs. it streamlines the educational process for both instructors and students by automating administrative tasks like exam generation and grading while fostering a collaborative environment through group discussions and real-time feedback.,348,"['learning platform meticulously', 'platform meticulously designed', 'artificial intelligence models', 'advanced electronic learning', 'electronic learning platform', 'seamless registration system', 'designed to elevate', 'project encompasses']",90.63
144,,Location-Based Recommendation Services for public customers and vendors,"Abdalrahman Mohammed Aboelatta, Mostafa Mohammed Reda, Mohammed Abdelrahim Salim, Abdellatif Mohammed Behairy, Mohammed Helmi Tallat, Aya Mohammed Elshahat",2015,"This project proposes a location-based recommendation system designed to bridge the gap between commercial vendors and public customers. By leveraging mobile technology and location awareness, the system enables vendors to send targeted, real-time promotional offers to customers in their vicinity. This approach enhances the selling process for businesses while providing customers with convenient access to relevant offers, thereby reducing the time and effort spent searching for products and services.","The project is a mobile-based information system that facilitates location-aware advertising. It connects vendors (shops, restaurants, cinemas) with customers by sending notifications about offers based on the user's current geographic location. The system includes a central server to manage data, user authentication, and the delivery of location-specific content to mobile devices.","Commercial vendors struggle with inefficient marketing and low customer reach, while customers face difficulty and time wastage in finding relevant products, offers, and services in their immediate area.","A mobile application that utilizes location-based services (LBS) to provide personalized, proximity-based notifications and recommendations, allowing vendors to reach customers effectively and helping customers discover local deals easily.","1. Provide accurate and reliable functionality.
2. Develop a scalable and maintainable solution.
3. Implement modern technologies and best practices.
4. Improve system performance and reliability.
5. Improve overall productivity and workflow optimization.","Location-Based Recommendation Services for public customers and vendors. This project proposes a location-based recommendation system designed to bridge the gap between commercial vendors and public customers. By leveraging mobile technology and location awareness, the system enables vendors to send targeted, real-time promotional offers to customers in their vicinity. This approach enhances the selling process for businesses while providing customers with convenient access to relevant offers, thereby reducing the time and effort spent searching for products and services.. The project is a mobile-based information system that facilitates location-aware advertising. It connects vendors (shops, restaurants, cinemas) with customers by sending notifications about offers based on the user's current geographic location. The system includes a central server to manage data, user authentication, and the delivery of location-specific content to mobile devices.",location-based recommendation services for public customers and vendors. this project proposes a location-based recommendation system designed to bridge the gap between commercial vendors and public customers. by leveraging mobile technology and location awareness the system enables vendors to send targeted real-time promotional offers to customers in their vicinity. this approach enhances the selling process for businesses while providing customers with convenient access to relevant offers thereby reducing the time and effort spent searching for products and services.. the project is a mobile-based information system that facilitates location-aware advertising. it connects vendors shops restaurants cinemas with customers by sending notifications about offers based on the user s current geographic location. the system includes a central server to manage data user authentication and the delivery of location-specific content to mobile devices.,129,"['location-based recommendation services', 'recommendation system designed', 'targeted real-time promotional', 'send targeted real-time', 'system enables vendors', 'services for public', 'public customers.']",100.0
145,,Lost Trace,"Fady Fayz Mousa Salama, Khalid Omar Abdulkhaleq, Ibrahim Mohamed Abderasoul, Youssef Hossam Mohamed, Mahmoud Abdelfattah Abdelhamied, Youssef Samy Mohamed, Mahmoud Ehab Mohamed, Youssef Ahmed Ali, Ahmed Gamal Abdelhamied",2025,"Lost Trace is a cutting-edge platform designed to aid in locating missing persons by utilizing advanced technologies and a community-centric approach. The platform comprises both a web application and a mobile application, allowing users to report missing cases, search for missing individuals, view ongoing investigations, and collaborate with related organizations. It leverages TensorFlow for face recognition, Puppeteer for automated data scraping, and Socket.io for real-time communication. The system is built on a robust stack including Node.js, Express, React, React Native, and PostgreSQL with Prisma ORM, ensuring a secure, scalable, and efficient ecosystem for reuniting missing persons with their families.","Lost Trace is a comprehensive, AI-powered platform designed to modernize the search for missing persons. It moves beyond traditional, manual, and uncoordinated search methods by providing a centralized, intelligent, and collaborative ecosystem. The platform integrates facial recognition to match missing persons with data scraped from online sources, provides real-time alerts to stakeholders, and facilitates community engagement to improve the success rate of investigations while maintaining data privacy and security.","The current process for finding missing persons is largely manual, slow, and uncoordinated, relying on scattered efforts like social media posts, printed flyers, and police reports. There is a lack of centralized digital systems, limited use of intelligent tools like facial recognition, and no efficient way to alert families or coordinate community efforts, leading to delays and increased emotional distress for affected families.","Lost Trace provides a unified, AI-powered platform that automates the search process. It uses TensorFlow for accurate facial recognition matching, Puppeteer for automated data collection from social media, and Socket.io for real-time notifications. The system offers a cross-platform experience (Web and Mobile) with structured case management via a PostgreSQL database, enabling families, communities, and organizations to collaborate effectively in real-time.","1. Improve mobile application usability and performance.
2. Improve system performance and reliability.
3. Enhance system security and protect sensitive user data.
4. Implement secure authentication and authorization mechanisms.
5. Improve accessibility across different devices and platforms.
6. Develop a responsive and user-friendly web application.
7. Support future scalability and feature expansion.","Lost Trace. Lost Trace is a cutting-edge platform designed to aid in locating missing persons by utilizing advanced technologies and a community-centric approach. The platform comprises both a web application and a mobile application, allowing users to report missing cases, search for missing individuals, view ongoing investigations, and collaborate with related organizations. It leverages TensorFlow for face recognition, Puppeteer for automated data scraping, and Socket.io for real-time communication. The system is built on a robust stack including Node.js, Express, React, React Native, and PostgreSQL with Prisma ORM, ensuring a secure, scalable, and efficient ecosystem for reuniting missing persons with their families.. Lost Trace is a comprehensive, AI-powered platform designed to modernize the search for missing persons. It moves beyond traditional, manual, and uncoordinated search methods by providing a centralized, intelligent, and collaborative ecosystem. The platform integrates facial recognition to match missing persons with data scraped from online sources, provides real-time alerts to stakeholders, and facilitates community engagement to improve the success rate of investigations while maintaining data privacy and security.",lost trace. lost trace is a cutting-edge platform designed to aid in locating missing persons by utilizing advanced technologies and a community-centric approach. the platform comprises both a web application and a mobile application allowing users to report missing cases search for missing individuals view ongoing investigations and collaborate with related organizations. it leverages tensorflow for face recognition puppeteer for automated data scraping and socket.io for real-time communication. the system is built on a robust stack including node.js express react react native and postgresql with prisma orm ensuring a secure scalable and efficient ecosystem for reuniting missing persons with their families.. lost trace is a comprehensive ai-powered platform designed to modernize the search for missing persons. it moves beyond traditional manual and uncoordinated search methods by providing a centralized intelligent and collaborative ecosystem. the platform integrates facial recognition to match missing persons with data scraped from online sources provides real-time alerts to stakeholders and facilitates community engagement to improve the success rate of investigations while maintaining data privacy and security.,170,"['utilizing advanced technologies', 'cutting-edge platform designed', 'ai-powered platform designed', 'reuniting missing persons', 'locating missing persons', 'missing cases search', 'report missing cases', 'lost trace']",91.24
146,,Magic Eye System,"Abd El Rahman Atia Abd El Rahman, Alaa Muhammed Rezk, Amr Ayman Bassiouni, Aya Muhammed Ramadan, Habiba Khaled Muhammed, Hasnaa Ismail Muhammed, Muhammed Samy Ali, Rewan Ragab Abo El Enin, Rokya Yasser Muhammed",2024,"This project presents the development of a mobile-controlled door locking system utilizing a kit of hardware and a solenoid. The primary objective is to enhance home security and convenience by enabling remote locking and unlocking of doors via a custom-built flutter application. The system integrates hardware components such as a solenoid lock mechanism controlled by a Raspberry Pi, interfaced through a relay module, and powered by a standard 5V adapter. The mobile application, developed using flutter in Android Studio, establishes Wi-Fi communication with the kit, allowing users to send lock and unlock commands. The system successfully demonstrates the feasibility of integrating IoT technologies with everyday security applications, offering a scalable and adaptable solution for various residential and commercial environments.","The Magic Eye System is an intelligent surveillance and access control solution that combines computer vision with physical security hardware. It uses advanced machine learning models to perform real-time object detection and facial recognition, allowing the system to identify individuals and automatically manage door access. The system is managed through a user-friendly mobile application that provides remote control, event logging, and real-time status updates.","Traditional surveillance camera systems have limited intelligence, often capturing data without the ability to analyze it in real-time. They lack the capability to differentiate between normal and abnormal events or recognize specific individuals, leading to delayed responses to security incidents and missed opportunities for proactive security measures.","The project proposes a smart camera system that integrates AI, computer vision, and IoT hardware. By utilizing models like YOLO and Face Net, the system can perform real-time facial recognition and object tracking. This intelligence is coupled with a solenoid-based door lock, allowing the system to automatically grant or deny access based on recognized identities and user-defined permissions.","1. Implement modern technologies and best practices.
2. Improve overall productivity and workflow optimization.
3. Enable real-time monitoring using connected devices.
4. Support future scalability and feature expansion.
5. Improve system performance and reliability.
6. Improve prediction accuracy using machine learning models.
7. Integrate IoT technologies for smart automation.
8. Provide accurate and reliable functionality.","Magic Eye System. This project presents the development of a mobile-controlled door locking system utilizing a kit of hardware and a solenoid. The primary objective is to enhance home security and convenience by enabling remote locking and unlocking of doors via a custom-built flutter application. The system integrates hardware components such as a solenoid lock mechanism controlled by a Raspberry Pi, interfaced through a relay module, and powered by a standard 5V adapter. The mobile application, developed using flutter in Android Studio, establishes Wi-Fi communication with the kit, allowing users to send lock and unlock commands. The system successfully demonstrates the feasibility of integrating IoT technologies with everyday security applications, offering a scalable and adaptable solution for various residential and commercial environments.. The Magic Eye System is an intelligent surveillance and access control solution that combines computer vision with physical security hardware. It uses advanced machine learning models to perform real-time object detection and facial recognition, allowing the system to identify individuals and automatically manage door access. The system is managed through a user-friendly mobile application that provides remote control, event logging, and real-time status updates.",magic eye system. this project presents the development of a mobile-controlled door locking system utilizing a kit of hardware and a solenoid. the primary objective is to enhance home security and convenience by enabling remote locking and unlocking of doors via a custom-built flutter application. the system integrates hardware components such as a solenoid lock mechanism controlled by a raspberry pi interfaced through a relay module and powered by a standard 5v adapter. the mobile application developed using flutter in android studio establishes wi-fi communication with the kit allowing users to send lock and unlock commands. the system successfully demonstrates the feasibility of integrating iot technologies with everyday security applications offering a scalable and adaptable solution for various residential and commercial environments.. the magic eye system is an intelligent surveillance and access control solution that combines computer vision with physical security hardware. it uses advanced machine learning models to perform real-time object detection and facial recognition allowing the system to identify individuals and automatically manage door access. the system is managed through a user-friendly mobile application that provides remote control event logging and real-time status updates.,186,"['mobile-controlled door locking', 'system integrates hardware', 'locking system utilizing', 'door locking system', 'mobile application', 'magic eye system']",92.53
147,,Malware Detection in Files and URL Phishing Using ML,"Alaa Ali Hassan Mohamed Salama, Asmaa Alaa Abdelmohsen Morsy, Ahmed Ashraf Gaber Mohamed, Kerols Gamel Samy Balamon, Mohamed Ibrahim Mohamed Saleh, Islam Ahmed Maher Mohamed, Mohamed Emad Mohamed Abedin",2024,"The explosive growth of malware variants poses a major threat to information security. Traditional anti-virus systems based on signatures fail to classify unknown malware into their corresponding families and to detect new kinds of malware in files. Therefore, we propose a machine learning based malware analysis in different types of files. On the other hand, Phishing is a common attack as they making people easily disclose their unique information using forged websites. The objective of phishing website URLs is to retrieve the personal information like user name, passwords and online banking transactions. As technology continues to grow, phishing techniques started to progress rapidly and this needs to be prevented by using anti-phishing mechanisms to detect phishing, so we are going to provide a solution using Machine learning as it is a powerful tool used to strive against phishing attacks.","Recently, malware and phishing attacks are becoming increasingly common forms of crucial threat to cyberspace security. Various types of malwares, such as viruses, trojans, adware, spam, ransomware, spyware, and other intrusive codes, have caused significant harm or damage to users, computers, and networks. The second problem -phishing attacks- in which scammers use social and technological tactics to obtain customer private information, identification, and financial credentials. Therefore, we aim to resolve these two significant concerns quickly and easily.","The explosive growth of malware variants poses a major threat to information security. Traditional anti-virus systems based on signatures fail to classify unknown malware into their corresponding families and to detect new kinds of malware in files. On the other hand, Phishing is a common attack as they making people easily disclose their unique information using forged websites. The objective of phishing website URLs is to retrieve the personal information like user name, passwords and online banking transactions. As technology continues to grow, phishing techniques started to progress rapidly and this needs to be prevented by using anti-phishing mechanisms to detect phishing.
Recently, malware and phishing attacks are becoming increasingly common forms of crucial threat to cyberspace security. Various types of malwares, such as viruses, trojans, adware, spam, ransomware, spyware, and other intrusive codes, have caused significant harm or damage to users, computers, and networks. The second problem -phishing attacks- in which scammers use social and technological tactics to obtain customer private information, identification, and financial credentials.
There are a lot of existing systems but most of them have disadvantages which need to be solved.","We present a unique system that combines URL and file detection in one platform. In this website, we provide a comprehensive solution for internet security, allowing users to examine links and files to ensure their digital safety. Our system boasts multiple advantages that set it apart from current systems. Unique Advantages:, High Accuracy (99.3%): Our system excels in accuracy, achieving an impressive accuracy rate of, 3%. This superiority relies on advanced machine learning techniques to distinguish between harmful and safe content, providing an effective solution for users to tackle the latest threats., Fast Results: Response speed is crucial in the cybersecurity field, and our system delivers quick results. Its efficient and optimized design allows for rapid analysis and detection, effectively minimizing the impact of cybersecurity threats., Comprehensive Detection (URL & File): Instead of limiting detection to either URLs or files, our system offers a comprehensive solution covering various threat types. Users can examine malicious links and suspicious files, enhancing protection against the growing threats of the internet., Free of Charge: We take pride in offering cybersecurity protection completely free of charge, without any additional costs. Everyone, regardless of their financial capacity, can benefit from robust protection without the need to pay any fees, making it easily accessible to all.","1. Implement secure authentication and authorization mechanisms.
2. Enhance system security and protect sensitive user data.
3. Reduce operational complexity and improve efficiency.
4. Improve decision-making using artificial intelligence techniques.
5. Provide efficient data analysis and reporting features.","Malware Detection in Files and URL Phishing Using ML. The explosive growth of malware variants poses a major threat to information security. Traditional anti-virus systems based on signatures fail to classify unknown malware into their corresponding families and to detect new kinds of malware in files. Therefore, we propose a machine learning based malware analysis in different types of files. On the other hand, Phishing is a common attack as they making people easily disclose their unique information using forged websites. The objective of phishing website URLs is to retrieve the personal information like user name, passwords and online banking transactions. As technology continues to grow, phishing techniques started to progress rapidly and this needs to be prevented by using anti-phishing mechanisms to detect phishing, so we are going to provide a solution using Machine learning as it is a powerful tool used to strive against phishing attacks.. Recently, malware and phishing attacks are becoming increasingly common forms of crucial threat to cyberspace security. Various types of malwares, such as viruses, trojans, adware, spam, ransomware, spyware, and other intrusive codes, have caused significant harm or damage to users, computers, and networks. The second problem -phishing attacks- in which scammers use social and technological tactics to obtain customer private information, identification, and financial credentials. Therefore, we aim to resolve these two significant concerns quickly and easily.",malware detection in files and url phishing using ml. the explosive growth of malware variants poses a major threat to information security. traditional anti-virus systems based on signatures fail to classify unknown malware into their corresponding families and to detect new kinds of malware in files. therefore we propose a machine learning based malware analysis in different types of files. on the other hand phishing is a common attack as they making people easily disclose their unique information using forged websites. the objective of phishing website urls is to retrieve the personal information like user name passwords and online banking transactions. as technology continues to grow phishing techniques started to progress rapidly and this needs to be prevented by using anti-phishing mechanisms to detect phishing so we are going to provide a solution using machine learning as it is a powerful tool used to strive against phishing attacks.. recently malware and phishing attacks are becoming increasingly common forms of crucial threat to cyberspace security. various types of malwares such as viruses trojans adware spam ransomware spyware and other intrusive codes have caused significant harm or damage to users computers and networks. the second problem -phishing attacks- in which scammers use social and technological tactics to obtain customer private information identification and financial credentials. therefore we aim to resolve these two significant concerns quickly and easily.,225,"['traditional anti-virus systems', 'classify unknown malware', 'anti-virus systems based', 'malware variants poses', 'learning based malware', 'based malware analysis', 'detection in files', 'malware detection', 'explosive growth', 'phishing attacks', 'machine learning', 'poses a major', 'major threat']",95.51
149,,Medical Analysis System,"Mohamed Atef Mohamed fooda, Yasmeen Mostafa Mohamed, Alaa Ahmed Mohamed Farahat, Doha Mohamed Abdo, Nahed Yassen Mohamed Nasser, Mona Mohamed Shaaban",2020,"This project focuses on the application of straightforward yet effective regression algorithms in conjunction with random forest, decision tree, KNN and SVM for the analysis of medical data, specifically targeting some diseases (Anemia, Liver and Diabetes). The simplicity of the algorithms ensures a user-friendly and interpretable approach, making it accessible for medical practitioners with varying levels of technical expertise. Using some algorithms, when a patient uploads their personal data, their location and the analysis they want to know the result of, these algorithms analyze the patient's data and provide them with the analysis result, the appropriate specialist for their case, and their location. Through the integration of these technologies, we seek to create a versatile tool that empowers healthcare professionals in making informed decisions based on reliable and easily interpretable insights. The project's innovative approach lies in its commitment to simplicity, accessibility, and the utilization of cutting-edge technologies for medical analysis.","In recent years, the intersection of healthcare and technology has given rise to innovative solutions aimed at enhancing patient care and streamlining medical processes. One such advancement is the development of medical analysis systems that leverage machine learning to predict various health conditions. This project presents a comprehensive medical analysis system, accessible via both an application and a website, which predicts the results for diabetes, anemia, and liver functions. By utilizing machine learning algorithms such as K-Nearest Neighbors (KNN) and Random Forest, the system not only forecasts potential health issues but also recommends relevant medical specialists and nearby doctors. Additionally, it features a robust dashboard for administrators, and provides users with functionalities such as setting alarms for medication and appointments, ensuring a holistic approach to managing their health.","The traditional methods of diagnosing and managing chronic conditions like diabetes, anemia, and liver dysfunctions are often time-consuming and dependent on direct medical consultation. Patients frequently face delays in receiving critical health information, which can lead to deteriorations in their conditions. Moreover, the lack of immediate access to specialized medical professionals and the difficulty in managing medication schedules and appointments exacerbate the challenges faced by patients. The primary problems this project aims to address include:, Delayed Diagnosis and Prediction: The need for timely and accurate prediction of diabetes, anemia, and liver functions to initiate early intervention., Accessibility to Specialized Care: Difficulty in identifying and accessing the right medical specialists and nearby healthcare providers.","The proposed medical analysis system offers a multifaceted solution to the aforementioned problems through its innovative features:, Predictive Analytics Using Machine Learning: - Diabetes Prediction: Utilizing patient data and employing algorithms such as KNN and Random Forest to predict the likelihood of diabetes. - Anemia Detection: Analyzing relevant health parameters to forecast anemia, enabling timely medical attention. - Liver Function Analysis: Assessing liver health indicators to predict potential liver dysfunctions, aiding in early diagnosis and treatment., Specialist Recommendation and Locator: - The system recommends specialized doctors based on the predicted health conditions. - It provides a geolocation service to identify and locate the nearest available medical professionals, ensuring that patients receive prompt and appropriate care., User and Admin Dashboards: - Admin Dashboard: Allows administrators to manage user data, monitor system performance, and oversee predictive analytics processes. - User Dashboard: Offers patients a personalized interface to view their health predictions, manage their medical information, and set up alerts., Alarm System for Medications: - Users can set alarms for their medication schedules ensuring adherence to prescribed treatments.","1. Enhance user experience and usability.
2. Reduce operational complexity and improve efficiency.
3. Improve patient monitoring and healthcare management.
4. Generate accurate analytical insights and visualizations.
5. Improve prediction accuracy using machine learning models.
6. Provide accurate and reliable functionality.
7. Develop a responsive and user-friendly web application.","Medical Analysis System. This project focuses on the application of straightforward yet effective regression algorithms in conjunction with random forest, decision tree, KNN and SVM for the analysis of medical data, specifically targeting some diseases (Anemia, Liver and Diabetes). The simplicity of the algorithms ensures a user-friendly and interpretable approach, making it accessible for medical practitioners with varying levels of technical expertise. Using some algorithms, when a patient uploads their personal data, their location and the analysis they want to know the result of, these algorithms analyze the patient's data and provide them with the analysis result, the appropriate specialist for their case, and their location. Through the integration of these technologies, we seek to create a versatile tool that empowers healthcare professionals in making informed decisions based on reliable and easily interpretable insights. The project's innovative approach lies in its commitment to simplicity, accessibility, and the utilization of cutting-edge technologies for medical analysis.. In recent years, the intersection of healthcare and technology has given rise to innovative solutions aimed at enhancing patient care and streamlining medical processes. One such advancement is the development of medical analysis systems that leverage machine learning to predict various health conditions. This project presents a comprehensive medical analysis system, accessible via both an application and a website, which predicts the results for diabetes, anemia, and liver functions. By utilizing machine learning algorithms such as K-Nearest Neighbors (KNN) and Random Forest, the system not only forecasts potential health issues but also recommends relevant medical specialists and nearby doctors. Additionally, it features a robust dashboard for administrators, and provides users with functionalities such as setting alarms for medication and appointments, ensuring a holistic approach to managing their health.",medical analysis system. this project focuses on the application of straightforward yet effective regression algorithms in conjunction with random forest decision tree knn and svm for the analysis of medical data specifically targeting some diseases anemia liver and diabetes . the simplicity of the algorithms ensures a user-friendly and interpretable approach making it accessible for medical practitioners with varying levels of technical expertise. using some algorithms when a patient uploads their personal data their location and the analysis they want to know the result of these algorithms analyze the patient s data and provide them with the analysis result the appropriate specialist for their case and their location. through the integration of these technologies we seek to create a versatile tool that empowers healthcare professionals in making informed decisions based on reliable and easily interpretable insights. the project s innovative approach lies in its commitment to simplicity accessibility and the utilization of cutting-edge technologies for medical analysis.. in recent years the intersection of healthcare and technology has given rise to innovative solutions aimed at enhancing patient care and streamlining medical processes. one such advancement is the development of medical analysis systems that leverage machine learning to predict various health conditions. this project presents a comprehensive medical analysis system accessible via both an application and a website which predicts the results for diabetes anemia and liver functions. by utilizing machine learning algorithms such as k-nearest neighbors knn and random forest the system not only forecasts potential health issues but also recommends relevant medical specialists and nearby doctors. additionally it features a robust dashboard for administrators and provides users with functionalities such as setting alarms for medication and appointments ensuring a holistic approach to managing their health.,285,"['effective regression algorithms', 'comprehensive medical analysis', 'interpretable approach making', 'data specifically targeting', 'analysis system accessible', 'medical data specifically', 'making informed decisions', 'medical analysis systems', 'forest decision tree', 'decision tree knn', 'analysis result']",95.35
150,,Medical Records with Brain Tumor Detection Models,"Haidy Hassan Elsayed Hassan, Ibthal Mohamed Abdelghany, Omnia Khaled Said, Eman Salah Moustafa Mohamad, Mayar Ashraf Fathy Abd Elhalim, Moaz Ashraf Abdelghany Hussein",2023,"This project presents an integrated digital health record system designed to modernize medical documentation and improve patient care. The system facilitates the transition from paper-based records to a secure, automated digital platform. Beyond administrative management, the project incorporates advanced deep learning models to analyze medical X-rays for the detection and classification of brain tumors, assisting in early diagnosis and reducing the risk of misdiagnosis.","The project is a comprehensive medical informatics solution that combines a digital health record management system with AI-driven diagnostic tools. It allows clinics to manage patient appointments, store medical histories, and digitize prescriptions. Additionally, it features a specialized module for the neurology department that utilizes deep learning to analyze brain scans, helping to identify and classify potential tumors.","Current medical record systems suffer from limited storage, security risks, inefficient information sharing, and the potential for human error. Furthermore, manual diagnosis of brain tumors is prone to misdiagnosis due to the complexity of symptoms and the reliance on subjective interpretation of medical scans.","A centralized, secure digital platform that automates appointment scheduling, digitizes patient medical records, and provides an AI-powered diagnostic tool. The system allows doctors to upload X-rays for automated tumor detection and provides patients with access to their medical history and test results.","1. Optimize resource allocation and task management.
2. Provide accurate and reliable functionality.
3. Enhance user experience and usability.
4. Improve decision-making using artificial intelligence techniques.
5. Support future scalability and feature expansion.
6. Improve system performance and reliability.
7. Reduce operational complexity and improve efficiency.
8. Improve workflow and management efficiency.","Medical Records with Brain Tumor Detection Models. This project presents an integrated digital health record system designed to modernize medical documentation and improve patient care. The system facilitates the transition from paper-based records to a secure, automated digital platform. Beyond administrative management, the project incorporates advanced deep learning models to analyze medical X-rays for the detection and classification of brain tumors, assisting in early diagnosis and reducing the risk of misdiagnosis.. The project is a comprehensive medical informatics solution that combines a digital health record management system with AI-driven diagnostic tools. It allows clinics to manage patient appointments, store medical histories, and digitize prescriptions. Additionally, it features a specialized module for the neurology department that utilizes deep learning to analyze brain scans, helping to identify and classify potential tumors.",medical records with brain tumor detection models. this project presents an integrated digital health record system designed to modernize medical documentation and improve patient care. the system facilitates the transition from paper-based records to a secure automated digital platform. beyond administrative management the project incorporates advanced deep learning models to analyze medical x-rays for the detection and classification of brain tumors assisting in early diagnosis and reducing the risk of misdiagnosis.. the project is a comprehensive medical informatics solution that combines a digital health record management system with ai-driven diagnostic tools. it allows clinics to manage patient appointments store medical histories and digitize prescriptions. additionally it features a specialized module for the neurology department that utilizes deep learning to analyze brain scans helping to identify and classify potential tumors.,129,"['integrated digital health', 'health record management', 'record management system', 'record system designed', 'tumor detection models', 'digital health record', 'brain tumor detection', 'improve patient care', 'deep learning']",83.31
151,,Medical Rep,"Abdelwahed Ashraf Abdelaty, Raghda Gamal Mohamed, Rana Salem Mohamed, Abdelrahman Ahmed Agag, Lamiaa Ragab Mohamed, Mohanad Magdy Abdelroaf",2016,"This project presents an information system designed for companies that rely on the sale and distribution of products through a team of delegates. The system facilitates communication in medical sales operations, making them more flexible, efficient, and secure. It includes a web-based platform for management and customers, and an Android application for delegates to manage orders, track deliveries, and report on customer interactions.","The Medical Rep system is a comprehensive solution for managing medical sales operations. It replaces traditional paper-based records and manual processes with an integrated digital platform. The system connects managers, customers, and field delegates through a centralized database, allowing for real-time updates on product availability, order status, and sales performance.","Traditional methods of medical sales rely on paper records and manual invoices, leading to difficulties in data storage, transport, and tracking. Companies struggle with managing delegate locations, maintaining consistent pricing, tracking sales targets, and monitoring inventory in real-time.","The project proposes an integrated system consisting of a web application for managers and customers, and an Android mobile application for field delegates. The system uses a centralized database connected via web services to ensure that all stakeholders have access to accurate, real-time information regarding orders, product pricing, and delegate performance.","1. Enhance user experience and usability.
2. Provide accurate and reliable functionality.
3. Implement intelligent AI-based functionalities.
4. Improve workflow and management efficiency.
5. Support future scalability and feature expansion.","Medical Rep. This project presents an information system designed for companies that rely on the sale and distribution of products through a team of delegates. The system facilitates communication in medical sales operations, making them more flexible, efficient, and secure. It includes a web-based platform for management and customers, and an Android application for delegates to manage orders, track deliveries, and report on customer interactions.. The Medical Rep system is a comprehensive solution for managing medical sales operations. It replaces traditional paper-based records and manual processes with an integrated digital platform. The system connects managers, customers, and field delegates through a centralized database, allowing for real-time updates on product availability, order status, and sales performance.",medical rep. this project presents an information system designed for companies that rely on the sale and distribution of products through a team of delegates. the system facilitates communication in medical sales operations making them more flexible efficient and secure. it includes a web-based platform for management and customers and an android application for delegates to manage orders track deliveries and report on customer interactions.. the medical rep system is a comprehensive solution for managing medical sales operations. it replaces traditional paper-based records and manual processes with an integrated digital platform. the system connects managers customers and field delegates through a centralized database allowing for real-time updates on product availability order status and sales performance.,115,"['information system designed', 'medical sales operations', 'sales operations making', 'presents an information', 'designed for companies', 'companies that rely', 'medical rep system', 'project presents']",77.81
152,,Medical tests and Intelligent Diagnosis system,"Heba Reda Mohamed Omran, Shahd Mohamed Sobieh Mohamed, Sarah AbdElhamed Abdelghani Hamza, Mohamed Akram Sayed Ali, Mohamed Abdullah Elsayed Essa",2024,"The Integrated Healthcare Management System with AI-Driven Diagnostics and Patient Support signifies a groundbreaking evolution in healthcare delivery by amalgamating advanced technologies and seamlessly integrating laboratory and radiology services. This transformative system is aligned with the broader context of the digitalization of laboratories, where the shift from paper-based, analog recording to digital infrastructure fosters efficiency, collaboration, and transparency. The digitalization of laboratories encompasses the adoption of automated systems, robotics, and artificial intelligence. Within this context, the Integrated Healthcare Management System emerges as a comprehensive solution, prioritizing accessibility and accuracy. Users navigate a user-friendly interface to manage accounts and explore laboratory sites, streamlining the search for nearby, cost-effective, and high-quality testing facilities. Through the system's intuitive interface, users gain access to a detailed catalog of tests and radiological services, complete with information on requirements and transparent cost breakdowns. Artificial intelligence analyzes test results meticulously, identifying health indicators and generating comprehensive reports. An interactive chatbot engages users in meaningful dialogues, offering diagnostic recommendations and suggesting specialized medical professionals based on AI-driven analyses. Moreover, the system facilitates the seamless upload of X-ray images, subjecting them to advanced AI analysis for the generation of clear and concise reports. Paramount to the system is the emphasis on privacy and data security, ensuring the protection of sensitive healthcare information through robust measures.","The project is an Integrated Healthcare Management System designed to digitize and streamline laboratory and radiology services. It provides a centralized platform for users to manage their medical data, book appointments, select testing facilities, and receive AI-driven diagnostic insights. The system includes features for X-ray image analysis, a patient-support chatbot, and secure data management to ensure compliance with healthcare privacy regulations.","The current manual and disjointed processes within the laboratory and radiology sectors lead to inefficiencies, potential delays, errors, and a lack of integration. Users face difficulties in finding suitable testing sites, understanding test requirements, and interpreting results, while sensitive medical data remains vulnerable to security risks.","A comprehensive, AI-powered digital platform that integrates laboratory and radiology services. The solution includes a centralized user account system, a searchable catalog of medical services, AI models for test result analysis and X-ray interpretation, and an interactive chatbot for patient guidance, all secured with robust data protection measures.","1. Improve patient monitoring and healthcare management.
2. Improve decision-making using artificial intelligence techniques.
3. Support future scalability and feature expansion.
4. Implement secure authentication and authorization mechanisms.
5. Improve overall productivity and workflow optimization.
6. Generate accurate analytical insights and visualizations.
7. Reduce operational complexity and improve efficiency.","Medical tests and Intelligent Diagnosis system. The Integrated Healthcare Management System with AI-Driven Diagnostics and Patient Support signifies a groundbreaking evolution in healthcare delivery by amalgamating advanced technologies and seamlessly integrating laboratory and radiology services. This transformative system is aligned with the broader context of the digitalization of laboratories, where the shift from paper-based, analog recording to digital infrastructure fosters efficiency, collaboration, and transparency. The digitalization of laboratories encompasses the adoption of automated systems, robotics, and artificial intelligence. Within this context, the Integrated Healthcare Management System emerges as a comprehensive solution, prioritizing accessibility and accuracy. Users navigate a user-friendly interface to manage accounts and explore laboratory sites, streamlining the search for nearby, cost-effective, and high-quality testing facilities. Through the system's intuitive interface, users gain access to a detailed catalog of tests and radiological services, complete with information on requirements and transparent cost breakdowns. Artificial intelligence analyzes test results meticulously, identifying health indicators and generating comprehensive reports. An interactive chatbot engages users in meaningful dialogues, offering diagnostic recommendations and suggesting specialized medical professionals based on AI-driven analyses. Moreover, the system facilitates the seamless upload of X-ray images, subjecting them to advanced AI analysis for the generation of clear and concise reports. Paramount to the system is the emphasis on privacy and data security, ensuring the protection of sensitive healthcare information through robust measures.. The project is an Integrated Healthcare Management System designed to digitize and streamline laboratory and radiology services. It provides a centralized platform for users to manage their medical data, book appointments, select testing facilities, and receive AI-driven diagnostic insights. The system includes features for X-ray image analysis, a patient-support chatbot, and secure data management to ensure compliance with healthcare privacy regulations.",medical tests and intelligent diagnosis system. the integrated healthcare management system with ai-driven diagnostics and patient support signifies a groundbreaking evolution in healthcare delivery by amalgamating advanced technologies and seamlessly integrating laboratory and radiology services. this transformative system is aligned with the broader context of the digitalization of laboratories where the shift from paper-based analog recording to digital infrastructure fosters efficiency collaboration and transparency. the digitalization of laboratories encompasses the adoption of automated systems robotics and artificial intelligence. within this context the integrated healthcare management system emerges as a comprehensive solution prioritizing accessibility and accuracy. users navigate a user-friendly interface to manage accounts and explore laboratory sites streamlining the search for nearby cost-effective and high-quality testing facilities. through the system s intuitive interface users gain access to a detailed catalog of tests and radiological services complete with information on requirements and transparent cost breakdowns. artificial intelligence analyzes test results meticulously identifying health indicators and generating comprehensive reports. an interactive chatbot engages users in meaningful dialogues offering diagnostic recommendations and suggesting specialized medical professionals based on ai-driven analyses. moreover the system facilitates the seamless upload of x-ray images subjecting them to advanced ai analysis for the generation of clear and concise reports. paramount to the system is the emphasis on privacy and data security ensuring the protection of sensitive healthcare information through robust measures.. the project is an integrated healthcare management system designed to digitize and streamline laboratory and radiology services. it provides a centralized platform for users to manage their medical data book appointments select testing facilities and receive ai-driven diagnostic insights. the system includes features for x-ray image analysis a patient-support chatbot and secure data management to ensure compliance with healthcare privacy regulations.,284,"['integrated healthcare management', 'digitalization of laboratories', 'intelligent diagnosis system', 'healthcare management system', 'management system designed', 'tests and intelligent', 'radiology services']",42.43
153,,medical tests and intelligent diagonis department,"Youssef Mostafa, Mostafa Mostafa, Aya Samir, Omar Kamel",2024,"The Integrated Healthcare Management System with AI-Driven Diagnostics and Patient Support signifies a groundbreaking evolution in healthcare delivery by amalgamating advanced technologies and seamlessly integrating laboratory and radiology services. This transformative system is aligned with the broader context of the digitalization of laboratories, where the shift from paper-based, analog recording to digital infrastructure fosters efficiency, collaboration, and transparency. the digitalization of laboratories encompasses the adoption of automated systems, robotics, and artificial intelligence. Within this context, the Integrated Healthcare Management System emerges as a comprehensive solution, prioritizing accessibility and accuracy. Users navigate a user-friendly interface to create accounts and explore laboratory sites, streamlining the search for nearby, cost-effective, and high- quality testing facilities. Through the system's intuitive interface, users gain access to a detailed catalog of tests and radiological services, complete with information on requirements and transparent cost breakdowns. Artificial intelligence analyzes test results meticulously, identifying health indicators and generating comprehensive reports. An interactive chatbot engages users in meaningful dialogues, offering diagnostic recommendations and suggesting specialized medical professionals based on Al-driven analyses. Moreover, the system facilitates the seamless upload of X-ray images, subjec","Enhance Accessibility and User Experience: - Provide an interface for users to explore and select laboratory sites, fostering a positive and informed experience. Streamline Laboratory and Radiology Services: - Provide a centralized platform that offers a comprehensive catalog of tests and radiological available across di fferent laboratory sites. Implement AI-Driven Diagnostics for Accuracy: - Integrate advanced artificial intelligence models to analyze test results with a focus on accuracy, speed, and precision. - Identify health indicators, potential issues, and generate detailed reports to empower users with a deeper understanding of their health status. Provide Personalized Patient Support through Chatbot: - Deliver personalized diagnostic recommendations and suggest specific medical specialists, fostering a supportive and informative patient experience. Ensure Data Security and Privacy: - Implement robust security measures to safeguard sensitive healthcare data, adhering to industry standards and regulations. Continuously Improve and Evolve: - Establish mechanisms for continuous monitoring and improvement of the system. Stay abreast of advancements in healthcare technology and artificial intelligence to ncorporate innovative features and enhance the system's capabilities over time.","Traditional manual and paper-based processes are time-consuming, inefficient, and highly prone to human errors. In addition, users often face difficulties accessing services and obtaining relevant information quickly and efficiently, leading to delays, reduced productivity, and poor overall user experience.","The Integrated Healthcare Management System with AI-Driven Diagnostics and Patient Support signifies a groundbreaking evolution in healthcare delivery by amalgamating advanced technologies and seamlessly integrating laboratory and radiology services. This transformative system is aligned with the broader context of the digitalization of laboratories, where the shift from paper-based, analog record","1. Improve workflow and management efficiency.
2. Implement secure authentication and authorization mechanisms.
3. Improve decision-making using artificial intelligence techniques.
4. Provide accurate and reliable functionality.
5. Enhance healthcare efficiency and accessibility.","medical tests and intelligent diagonis department. The Integrated Healthcare Management System with AI-Driven Diagnostics and Patient Support signifies a groundbreaking evolution in healthcare delivery by amalgamating advanced technologies and seamlessly integrating laboratory and radiology services. This transformative system is aligned with the broader context of the digitalization of laboratories, where the shift from paper-based, analog recording to digital infrastructure fosters efficiency, collaboration, and transparency. the digitalization of laboratories encompasses the adoption of automated systems, robotics, and artificial intelligence. Within this context, the Integrated Healthcare Management System emerges as a comprehensive solution, prioritizing accessibility and accuracy. Users navigate a user-friendly interface to create accounts and explore laboratory sites, streamlining the search for nearby, cost-effective, and high- quality testing facilities. Through the system's intuitive interface, users gain access to a detailed catalog of tests and radiological services, complete with information on requirements and transparent cost breakdowns. Artificial intelligence analyzes test results meticulously, identifying health indicators and generating comprehensive reports. An interactive chatbot engages users in meaningful dialogues, offering diagnostic recommendations and suggesting specialized medical professionals based on Al-driven analyses. Moreover, the system facilitates the seamless upload of X-ray images, subjec. Enhance Accessibility and User Experience: - Provide an interface for users to explore and select laboratory sites, fostering a positive and informed experience. Streamline Laboratory and Radiology Services: - Provide a centralized platform that offers a comprehensive catalog of tests and radiological available across di fferent laboratory sites. Implement AI-Driven Diagnostics for Accuracy: - Integrate advanced artificial intelligence models to analyze test results with a focus on accuracy, speed, and precision. - Identify health indicators, potential issues, and generate detailed reports to empower users with a deeper understanding of their health status. Provide Personalized Patient Support through Chatbot: - Deliver personalized diagnostic recommendations and suggest specific medical specialists, fostering a supportive and informative patient experience. Ensure Data Security and Privacy: - Implement robust security measures to safeguard sensitive healthcare data, adhering to industry standards and regulations. Continuously Improve and Evolve: - Establish mechanisms for continuous monitoring and improvement of the system. Stay abreast of advancements in healthcare technology and artificial intelligence to ncorporate innovative features and enhance the system's capabilities over time.",medical tests and intelligent diagonis department. the integrated healthcare management system with ai-driven diagnostics and patient support signifies a groundbreaking evolution in healthcare delivery by amalgamating advanced technologies and seamlessly integrating laboratory and radiology services. this transformative system is aligned with the broader context of the digitalization of laboratories where the shift from paper-based analog recording to digital infrastructure fosters efficiency collaboration and transparency. the digitalization of laboratories encompasses the adoption of automated systems robotics and artificial intelligence. within this context the integrated healthcare management system emerges as a comprehensive solution prioritizing accessibility and accuracy. users navigate a user-friendly interface to create accounts and explore laboratory sites streamlining the search for nearby cost-effective and high- quality testing facilities. through the system s intuitive interface users gain access to a detailed catalog of tests and radiological services complete with information on requirements and transparent cost breakdowns. artificial intelligence analyzes test results meticulously identifying health indicators and generating comprehensive reports. an interactive chatbot engages users in meaningful dialogues offering diagnostic recommendations and suggesting specialized medical professionals based on al-driven analyses. moreover the system facilitates the seamless upload of x-ray images subjec. enhance accessibility and user experience - provide an interface for users to explore and select laboratory sites fostering a positive and informed experience. streamline laboratory and radiology services - provide a centralized platform that offers a comprehensive catalog of tests and radiological available across di fferent laboratory sites. implement ai-driven diagnostics for accuracy - integrate advanced artificial intelligence models to analyze test results with a focus on accuracy speed and precision. - identify health indicators potential issues and generate detailed reports to empower users with a deeper understanding of their health status. provide personalized patient support through chatbot - deliver personalized diagnostic recommendations and suggest specific medical specialists fostering a supportive and informative patient experience. ensure data security and privacy - implement robust security measures to safeguard sensitive healthcare data adhering to industry standards and regulations. continuously improve and evolve - establish mechanisms for continuous monitoring and improvement of the system. stay abreast of advancements in healthcare technology and artificial intelligence to ncorporate innovative features and enhance the system s capabilities over time.,362,"['integrated healthcare management', 'intelligent diagonis department', 'digitalization of laboratories', 'healthcare management system', 'management system emerges', 'artificial intelligence', 'laboratory sites', 'test results']",43.15
154,,Mobile Application for Furniture Arrangment using Virtual Reality,"Adel Mahmoud Hassan,
Fares Ahmed Ibrahim,
Hatem Khaled Ali,
Ramy Samir Mostafa,
Nader Wael Mohamed,
Shady Tarek Fathy",2015,"*application provide services to customer. *It provide the ability to view 3d models and customize it with multiple future. *Customer can view 3d object with his room detail or multiple object at the same place *And to validate the object with the place that captured *Customer can also change size, scale, and rotate 3d object. *On final view you can take final image and share to social media *When you want to buy the app give you the ability to view branches of company using map and buy online *App have some characteristics in order to face the challenges of reality and cost reduction, availability, and the easy-to-use it and its operations too. *to use the system in anytime and anywhere, it more attractive and helpful *to solve the problems with the produces material color and styles. *To solve the problems of cost as the using of the default way to get any branch may causes losing money by exchanging the branches depending on time. *To solve the problems of time losing by knowing any information about the determined branch. *to help get the nearest branches. *We use many tools to support our project such as android to create the app that the user interact with it and connect android app with online database using json web service *Use min3d framework to show the user the product as 3d model",Project simulate furniture 3d-object on the mobile to give user the ability to: See the product from more than one view angle. Use virtual reality to see your product in the desires final view. Direct the user to the valid place the object due to the shape dimension and the original place dimension. Allow the user to take final view picture after the main shape appears. Allow the user to share it with friends throw social media websites. Guide user to the branches that contain the product selected.,"Our project is use 3D model instead of 2D model to make user to show model in real life. In traditional on line product many problem which may occur destroy the main goal of these products. This problem can result from product can't be trusted by customer. Solve the problem that user know the available product in application and many choice for this product such as clothes and color and known the nearest place that contain the product that he choose. Customer consume more time to search for the available product to by this product, this application save the customer time and enable customer to show this product.",The solution focuses on building a scalable and user-friendly E-Commerce application powered by min3d framework to enhance reliability and reduce manual effort.,"1. Develop a responsive and user-friendly web application.
2. Improve accessibility across different devices and platforms.
3. Provide accurate and reliable functionality.
4. Implement modern technologies and best practices.
5. Improve overall productivity and workflow optimization.
6. Reduce operational complexity and improve efficiency.
7. Improve decision-making using artificial intelligence techniques.","Mobile Application for Furniture Arrangment using Virtual Reality. *application provide services to customer. *It provide the ability to view 3d models and customize it with multiple future. *Customer can view 3d object with his room detail or multiple object at the same place *And to validate the object with the place that captured *Customer can also change size, scale, and rotate 3d object. *On final view you can take final image and share to social media *When you want to buy the app give you the ability to view branches of company using map and buy online *App have some characteristics in order to face the challenges of reality and cost reduction, availability, and the easy-to-use it and its operations too. *to use the system in anytime and anywhere, it more attractive and helpful *to solve the problems with the produces material color and styles. *To solve the problems of cost as the using of the default way to get any branch may causes losing money by exchanging the branches depending on time. *To solve the problems of time losing by knowing any information about the determined branch. *to help get the nearest branches. *We use many tools to support our project such as android to create the app that the user interact with it and connect android app with online database using json web service *Use min3d framework to show the user the product as 3d model. Project simulate furniture 3d-object on the mobile to give user the ability to: See the product from more than one view angle. Use virtual reality to see your product in the desires final view. Direct the user to the valid place the object due to the shape dimension and the original place dimension. Allow the user to take final view picture after the main shape appears. Allow the user to share it with friends throw social media websites. Guide user to the branches that contain the product selected.",mobile application for furniture arrangment using virtual reality. application provide services to customer. it provide the ability to view 3d models and customize it with multiple future. customer can view 3d object with his room detail or multiple object at the same place and to validate the object with the place that captured customer can also change size scale and rotate 3d object. on final view you can take final image and share to social media when you want to buy the app give you the ability to view branches of company using map and buy online app have some characteristics in order to face the challenges of reality and cost reduction availability and the easy-to-use it and its operations too. to use the system in anytime and anywhere it more attractive and helpful to solve the problems with the produces material color and styles. to solve the problems of cost as the using of the default way to get any branch may causes losing money by exchanging the branches depending on time. to solve the problems of time losing by knowing any information about the determined branch. to help get the nearest branches. we use many tools to support our project such as android to create the app that the user interact with it and connect android app with online database using json web service use min3d framework to show the user the product as 3d model. project simulate furniture 3d-object on the mobile to give user the ability to see the product from more than one view angle. use virtual reality to see your product in the desires final view. direct the user to the valid place the object due to the shape dimension and the original place dimension. allow the user to take final view picture after the main shape appears. allow the user to share it with friends throw social media websites. guide user to the branches that contain the product selected.,326,"['application provide services', 'furniture arrangment', 'solve the problems', 'virtual reality', 'final view']",94.42
155,,Mobile Based System for Traffic Monitoring and Guidance,"Omar Elsayed, Youssef Ashraf",2012,"The theme of the system/application is the usage of a combination of Mobile and Traffic Guidance Technologies to organize the world's information and to make it universally accessible and useful to a wider and better extent. We tried as information systems specialists to define, analyze, generate and implement an application with high degree of quality and simplicity. The proposed system is a mobile application that allowS online guidance and routing of user based on his current location, User's current location together with his destination is collected dynamically and completely independent of internet service. The system maintains road status to avoid crowded roads and provides user fully functional and active map that allows him to search fora particular place like some mall, or some spot for tourist interest by simply writing its name. System then automaticaly extracis destination's coordinates and processes user query. The results represents mainly the shortest route to destination taking into consideration the over crowdedness of the road. System as well shows real-time location-based alternatives that can be suitable to user search and current location.","No one can ignore the fact that traffic problem is not a newly born issue here in Egypt, but it is known for nearly thirty years ago, in the early eighties of the last century with the beginning of the rule of President Mubarak, who called at the time also to form a higher committee in 1982 to study the problem of traffic in the capital and overcome before they escalate, as is the case now, One of the main recommendations of this Committee is not to approve the construction of any major governmental or non- governnmental organizations in the city center. The traffic problem in Egypt has caused us a lot of trouble on a personal level and community level, we find difficult always because of the problems of overcrowding and the difficulty of transportation and the large number of fatal accidents, this problem is large and deep and has dimensions of economic, societal, environmental and psychological that had to be to us as part of the IT world that we are trying to start in finding solutions to this problem for our beloved country Egypt","The absence of a dedicated mobile-based system for traffic monitoring and guidance reduces the efficiency of managing traffic flow and providing real-time navigation assistance. Traditional manual approaches are often slow, inefficient, and unable to provide accurate real-time traffic information, making it difficult to track traffic conditions, manage congestion, and guide drivers effectively.","The theme of the system/application is the usage of a combination of Mobile and Traffic Guidance Technologies to organize the world's information and to make it universally accessible and useful to a wider and better extent. We tried as information systems specialists to define, analyze, generate and implement an application with high degree of quality and simplicity.","1. Improve mobile application usability and performance.
2. Implement intelligent AI-based functionalities.
3. Improve decision-making using artificial intelligence techniques.
4. Enhance user experience and usability.
5. Implement modern technologies and best practices.
6. Improve system performance and reliability.
7. Improve overall productivity and workflow optimization.","Mobile Based System for Traffic Monitoring and Guidance. The theme of the system/application is the usage of a combination of Mobile and Traffic Guidance Technologies to organize the world's information and to make it universally accessible and useful to a wider and better extent. We tried as information systems specialists to define, analyze, generate and implement an application with high degree of quality and simplicity. The proposed system is a mobile application that allowS online guidance and routing of user based on his current location, User's current location together with his destination is collected dynamically and completely independent of internet service. The system maintains road status to avoid crowded roads and provides user fully functional and active map that allows him to search fora particular place like some mall, or some spot for tourist interest by simply writing its name. System then automaticaly extracis destination's coordinates and processes user query. The results represents mainly the shortest route to destination taking into consideration the over crowdedness of the road. System as well shows real-time location-based alternatives that can be suitable to user search and current location.. No one can ignore the fact that traffic problem is not a newly born issue here in Egypt, but it is known for nearly thirty years ago, in the early eighties of the last century with the beginning of the rule of President Mubarak, who called at the time also to form a higher committee in 1982 to study the problem of traffic in the capital and overcome before they escalate, as is the case now, One of the main recommendations of this Committee is not to approve the construction of any major governmental or non- governnmental organizations in the city center. The traffic problem in Egypt has caused us a lot of trouble on a personal level and community level, we find difficult always because of the problems of overcrowding and the difficulty of transportation and the large number of fatal accidents, this problem is large and deep and has dimensions of economic, societal, environmental and psychological that had to be to us as part of the IT world that we are trying to start in finding solutions to this problem for our beloved country Egypt",mobile based system for traffic monitoring and guidance. the theme of the system/application is the usage of a combination of mobile and traffic guidance technologies to organize the world s information and to make it universally accessible and useful to a wider and better extent. we tried as information systems specialists to define analyze generate and implement an application with high degree of quality and simplicity. the proposed system is a mobile application that allows online guidance and routing of user based on his current location user s current location together with his destination is collected dynamically and completely independent of internet service. the system maintains road status to avoid crowded roads and provides user fully functional and active map that allows him to search fora particular place like some mall or some spot for tourist interest by simply writing its name. system then automaticaly extracis destination s coordinates and processes user query. the results represents mainly the shortest route to destination taking into consideration the over crowdedness of the road. system as well shows real-time location-based alternatives that can be suitable to user search and current location.. no one can ignore the fact that traffic problem is not a newly born issue here in egypt but it is known for nearly thirty years ago in the early eighties of the last century with the beginning of the rule of president mubarak who called at the time also to form a higher committee in 1982 to study the problem of traffic in the capital and overcome before they escalate as is the case now one of the main recommendations of this committee is not to approve the construction of any major governmental or non- governnmental organizations in the city center. the traffic problem in egypt has caused us a lot of trouble on a personal level and community level we find difficult always because of the problems of overcrowding and the difficulty of transportation and the large number of fatal accidents this problem is large and deep and has dimensions of economic societal environmental and psychological that had to be to us as part of the it world that we are trying to start in finding solutions to this problem for our beloved country egypt,375,"['information systems specialists', 'traffic guidance technologies', 'current location user', 'system maintains road', 'mobile based system', 'traffic monitoring', 'mobile application', 'traffic problem']",78.04
156,,Mobile Navigation Guide,"Ahmed Farag Mustafa, Ahmed Nabil Gamal, Mohammed Ibrahim Sayed, Mustafa Mohammed abd El-Rahman, Ahmed abd el-ghafar",2013,"The main goal of our project is to make an android application and a web server. The aim of the project is to help users to find interesting places around his current location to help him easily know about places around him. Not only our project help users finding places around, but help owners of any business place's owner to advertise about his place. With the use of our application the owner of a certain place can add information and location of his place so as the normal user can easily find this place.","This project is a location-based mobile navigation and discovery system that integrates Augmented Reality (AR) to enhance user experience. It consists of an Android mobile application for end-users to discover nearby points of interest and a web server for business owners to manage and advertise their locations. The system leverages AR technology to overlay digital information onto the physical environment, providing an interactive way for users to explore their surroundings.","Users often struggle to discover interesting places or businesses in their immediate vicinity, and business owners lack an efficient, interactive platform to advertise their physical locations to nearby potential customers.","A dual-component system featuring an Android application that uses GPS and AR to display nearby places, and a web-based management portal where business owners can register their locations, upload details, and manage their advertisements.","1. Develop a responsive and user-friendly web application.
2. Improve overall productivity and workflow optimization.
3. Implement modern technologies and best practices.
4. Support future scalability and feature expansion.
5. Improve mobile application usability and performance.
6. Improve system performance and reliability.
7. Improve decision-making using artificial intelligence techniques.
8. Improve accessibility across different devices and platforms.","Mobile Navigation Guide. The main goal of our project is to make an android application and a web server. The aim of the project is to help users to find interesting places around his current location to help him easily know about places around him. Not only our project help users finding places around, but help owners of any business place's owner to advertise about his place. With the use of our application the owner of a certain place can add information and location of his place so as the normal user can easily find this place.. This project is a location-based mobile navigation and discovery system that integrates Augmented Reality (AR) to enhance user experience. It consists of an Android mobile application for end-users to discover nearby points of interest and a web server for business owners to manage and advertise their locations. The system leverages AR technology to overlay digital information onto the physical environment, providing an interactive way for users to explore their surroundings.",mobile navigation guide. the main goal of our project is to make an android application and a web server. the aim of the project is to help users to find interesting places around his current location to help him easily know about places around him. not only our project help users finding places around but help owners of any business place s owner to advertise about his place. with the use of our application the owner of a certain place can add information and location of his place so as the normal user can easily find this place.. this project is a location-based mobile navigation and discovery system that integrates augmented reality ar to enhance user experience. it consists of an android mobile application for end-users to discover nearby points of interest and a web server for business owners to manage and advertise their locations. the system leverages ar technology to overlay digital information onto the physical environment providing an interactive way for users to explore their surroundings.,168,"['android mobile application', 'mobile navigation guide', 'web server']",68.85
158,,Mobile Voice Actions(Speak2Do),"Sammar Kamal Saber Hamed, Apdallah Yosri Ahmed Fahmy, Heba Mohammed Abdelfattah, Khaled Mohammed Hassan, Wafaa Mohammed Abdelfattah",2013,"The mobile voice actions project (Speak2Do) is an android application enables mobile users to do many tasks on their phones via voice, especially handicaps and blind people in effective way. In this version, the application provides many features that a user frequently does and the minimum android platform supported is The new versions will contain more specific features to focus help to blind people like OCR, Special spooking keyboard and custom user interface also will be provided for all android platform. The current main categories a speaker can order are custom views of call logs, send, show and read messages, send emails, call contacts, view contact details, create and delete calendar events, set alarms, ask about time and date, change mobile modes, Wi-Fi and Bluetooth settings, web queries, launch various apps... Speak2Do requires internet connection, since it uses Google speech API to get most related hypotheses of what user said. Mobile Voice Actions can work in acceptable level of noise. The returned hypotheses are affected by pronunciation of speaker and how he says words and phrases.","Speak2Do is an Android-based mobile application designed to facilitate hands-free interaction with smartphones through voice commands. By leveraging the Google Speech API, the application allows users to perform a wide range of system tasks, such as managing communications, calendar events, and device settings, with a specific focus on improving accessibility for visually impaired and handicapped users.","Many mobile users, particularly those with visual impairments or physical disabilities, face significant challenges in navigating complex smartphone interfaces and performing routine tasks efficiently. Traditional touch-based interfaces can be inaccessible or cumbersome for these users, creating a need for a more intuitive, voice-driven interaction model.","The project provides a comprehensive voice-controlled interface that interprets user speech to execute common mobile operations. By integrating with the Google Speech API, the application converts spoken commands into actionable tasks, effectively bridging the gap between user intent and device functionality for individuals who require assistive technology.","1. Reduce operational complexity and improve efficiency.
2. Improve accessibility across different devices and platforms.
3. Improve mobile application usability and performance.
4. Enhance user experience and usability.
5. Improve system performance and reliability.
6. Implement modern technologies and best practices.
7. Improve decision-making using artificial intelligence techniques.
8. Provide accurate and reliable functionality.","Mobile Voice Actions(Speak2Do). The mobile voice actions project (Speak2Do) is an android application enables mobile users to do many tasks on their phones via voice, especially handicaps and blind people in effective way. In this version, the application provides many features that a user frequently does and the minimum android platform supported is The new versions will contain more specific features to focus help to blind people like OCR, Special spooking keyboard and custom user interface also will be provided for all android platform. The current main categories a speaker can order are custom views of call logs, send, show and read messages, send emails, call contacts, view contact details, create and delete calendar events, set alarms, ask about time and date, change mobile modes, Wi-Fi and Bluetooth settings, web queries, launch various apps... Speak2Do requires internet connection, since it uses Google speech API to get most related hypotheses of what user said. Mobile Voice Actions can work in acceptable level of noise. The returned hypotheses are affected by pronunciation of speaker and how he says words and phrases.. Speak2Do is an Android-based mobile application designed to facilitate hands-free interaction with smartphones through voice commands. By leveraging the Google Speech API, the application allows users to perform a wide range of system tasks, such as managing communications, calendar events, and device settings, with a specific focus on improving accessibility for visually impaired and handicapped users.",mobile voice actions speak2do . the mobile voice actions project speak2do is an android application enables mobile users to do many tasks on their phones via voice especially handicaps and blind people in effective way. in this version the application provides many features that a user frequently does and the minimum android platform supported is the new versions will contain more specific features to focus help to blind people like ocr special spooking keyboard and custom user interface also will be provided for all android platform. the current main categories a speaker can order are custom views of call logs send show and read messages send emails call contacts view contact details create and delete calendar events set alarms ask about time and date change mobile modes wi-fi and bluetooth settings web queries launch various apps... speak2do requires internet connection since it uses google speech api to get most related hypotheses of what user said. mobile voice actions can work in acceptable level of noise. the returned hypotheses are affected by pronunciation of speaker and how he says words and phrases.. speak2do is an android-based mobile application designed to facilitate hands-free interaction with smartphones through voice commands. by leveraging the google speech api the application allows users to perform a wide range of system tasks such as managing communications calendar events and device settings with a specific focus on improving accessibility for visually impaired and handicapped users.,237,"['android application enables', 'application enables mobile', 'android platform supported', 'minimum android platform', 'voice actions project', 'mobile voice actions', 'enables mobile users', 'handicaps and blind', 'blind people']",98.56
159,,Mock Interview: WEB-based Virtual interview for job seeker's,"Sameh Elisha Abdelaty Awad, Khaled Mohamed Abdelwahab, AbdelRahman Kamal Meslhi, AbdelRahman Ragae Mahrous, Heba Ashraf Shapan",2023,"A key factor in career success is the ability to perform well in job interviews. However, it can be challenging to obtain feedback on one's performance, particularly in a practice setting. This project presents an AI-powered mock interview platform that provides personalized feedback to users on their interview skills. The platform utilizes a range of AI models to analyze user performance, including face detection, facial emotion analysis, voice emotion analysis, similarity of answers, and grammatical error correction. The platform provides a seamless and personalized experience, allowing users to practice and improve their interview skills in a user-friendly environment.","The project is a web-based virtual interview platform designed to help job seekers practice and improve their interview performance. It simulates real-world interview scenarios and provides comprehensive feedback on verbal and non-verbal communication, including facial expressions, voice tone, grammar, and the content of answers.","Job seekers often face fear of rejection due to a lack of experience and understanding of the interview process. Furthermore, there is a significant lack of constructive feedback provided to candidates after interviews, leaving them unable to identify their weaknesses or improve their performance for future opportunities.","The project provides a virtual interview environment that uses AI to analyze the candidate's performance in real-time. It evaluates facial expressions, voice emotions, grammatical accuracy, and the semantic similarity of answers compared to ideal responses, offering actionable insights to help users refine their interview skills.","1. Generate accurate analytical insights and visualizations.
2. Provide accurate and reliable functionality.
3. Improve accessibility across different devices and platforms.
4. Provide efficient data analysis and reporting features.
5. Improve overall productivity and workflow optimization.
6. Implement modern technologies and best practices.
7. Improve system performance and reliability.","Mock Interview: WEB-based Virtual interview for job seeker's. A key factor in career success is the ability to perform well in job interviews. However, it can be challenging to obtain feedback on one's performance, particularly in a practice setting. This project presents an AI-powered mock interview platform that provides personalized feedback to users on their interview skills. The platform utilizes a range of AI models to analyze user performance, including face detection, facial emotion analysis, voice emotion analysis, similarity of answers, and grammatical error correction. The platform provides a seamless and personalized experience, allowing users to practice and improve their interview skills in a user-friendly environment.. The project is a web-based virtual interview platform designed to help job seekers practice and improve their interview performance. It simulates real-world interview scenarios and provides comprehensive feedback on verbal and non-verbal communication, including facial expressions, voice tone, grammar, and the content of answers.",mock interview web-based virtual interview for job seeker s. a key factor in career success is the ability to perform well in job interviews. however it can be challenging to obtain feedback on one s performance particularly in a practice setting. this project presents an ai-powered mock interview platform that provides personalized feedback to users on their interview skills. the platform utilizes a range of ai models to analyze user performance including face detection facial emotion analysis voice emotion analysis similarity of answers and grammatical error correction. the platform provides a seamless and personalized experience allowing users to practice and improve their interview skills in a user-friendly environment.. the project is a web-based virtual interview platform designed to help job seekers practice and improve their interview performance. it simulates real-world interview scenarios and provides comprehensive feedback on verbal and non-verbal communication including facial expressions voice tone grammar and the content of answers.,152,"['web-based virtual interview', 'mock interview web-based', 'mock interview platform', 'ability to perform', 'factor in career', 'interview skills', 'career success', 'key factor']",94.49
160,,mOCRa: Mobile Optical Character Recognition Application,"Dina Mohamed Hassan, Hanya Mohamed Abd_Allah, Heba Reda Anter, Hoda arag Abdl-Aleim, Toka Ateif Sayed",2013,"In the last years, mobile phones have evolved to devices with high resolution cameras and Internet connection. In this context, the idea of applying OCR techniques to the pictures taken with these devices rises. As result of this idea, we have built mOCRa, the application presented in this work.","mOCRa is a mobile application designed to capture images of text using a smartphone camera, process the image to extract text, and provide translation services. The system bridges mobile devices with server-side processing using MATLAB for character recognition and web services for communication, ultimately allowing users to digitize and translate handwritten or printed text.","Users face difficulties in manually entering data into mobile devices due to small keyboard sizes and the inability to easily transfer information from physical sources like posters or personal cards to digital formats. Additionally, there is a need for OCR tools to assist low-vision individuals in daily tasks like reading receipts or traffic signs.","The project proposes a mobile application that captures high-resolution images of text, sends them to a server for processing via MATLAB-based OCR algorithms, and returns the recognized text to the mobile device. The system also integrates with the Google Translate API to provide language translation for the extracted text.","1. Improve mobile application usability and performance.
2. Create a mobile-friendly and accessible application.
3. Reduce operational complexity and improve efficiency.
4. Develop a responsive and user-friendly web application.
5. Improve accessibility across different devices and platforms.","mOCRa: Mobile Optical Character Recognition Application. In the last years, mobile phones have evolved to devices with high resolution cameras and Internet connection. In this context, the idea of applying OCR techniques to the pictures taken with these devices rises. As result of this idea, we have built mOCRa, the application presented in this work.. mOCRa is a mobile application designed to capture images of text using a smartphone camera, process the image to extract text, and provide translation services. The system bridges mobile devices with server-side processing using MATLAB for character recognition and web services for communication, ultimately allowing users to digitize and translate handwritten or printed text.",mocra mobile optical character recognition application. in the last years mobile phones have evolved to devices with high resolution cameras and internet connection. in this context the idea of applying ocr techniques to the pictures taken with these devices rises. as result of this idea we have built mocra the application presented in this work.. mocra is a mobile application designed to capture images of text using a smartphone camera process the image to extract text and provide translation services. the system bridges mobile devices with server-side processing using matlab for character recognition and web services for communication ultimately allowing users to digitize and translate handwritten or printed text.,109,"['character recognition application', 'optical character recognition', 'mobile optical character', 'high resolution cameras', 'mocra mobile optical', 'years mobile phones', 'internet connection', 'phones have evolved']",94.53
161,,Neonatal Intensive Care Unit Management System,"Ali Mostafa Ali Youssef, Amr Taha Hassan Mohamed, Abdallah Saad Abdallah Abu Saree, Alaa Ismail Yassin Mohamed, Karim Mohamed Gaber Mohamed, Ahmed Mohamed Ahmed Afifi",2022,"A neonatal intensive care unit (NICU), also known as an intensive nursery (ICN), is an intensive care unit specializing in the care of ill or premature newborn infants. The neonatal mortality rate is still dangerously high, especially in the poorest countries. While some children born in developed countries have the best chance of survival, those in less developed areas face serious risks due to the lack of specialized care. This project aims to bridge this gap by providing a digital management system for NICUs to improve tracking, monitoring, and medical intervention for newborns.","The Neonatal Intensive Care Unit Management System is a comprehensive platform designed to digitize the operations of a NICU. It features distinct interfaces for administrators (doctors, nurses, accountants) and parents. Nurses can register infants and update medical data, doctors can monitor patient conditions, and accountants manage billing. Parents are provided with a portal to monitor their child's condition, view updates, and handle financial transactions related to the care provided.","The current NICU environment suffers from reliance on paper-based records, difficulty in tracking patient data, lack of visibility into available resources (beds/devices), and limited communication between medical staff and parents, all of which contribute to suboptimal care and increased risks for premature infants.","A centralized, digital management system that automates record-keeping, provides real-time monitoring of infant health data, tracks equipment and bed availability, and offers a secure portal for parents to stay informed about their child's progress and treatment costs.","1. Support future scalability and feature expansion.
2. Implement modern technologies and best practices.
3. Implement intelligent AI-based functionalities.
4. Improve decision-making using artificial intelligence techniques.
5. Reduce operational complexity and improve efficiency.
6. Optimize resource allocation and task management.
7. Improve overall productivity and workflow optimization.","Neonatal Intensive Care Unit Management System. A neonatal intensive care unit (NICU), also known as an intensive nursery (ICN), is an intensive care unit specializing in the care of ill or premature newborn infants. The neonatal mortality rate is still dangerously high, especially in the poorest countries. While some children born in developed countries have the best chance of survival, those in less developed areas face serious risks due to the lack of specialized care. This project aims to bridge this gap by providing a digital management system for NICUs to improve tracking, monitoring, and medical intervention for newborns.. The Neonatal Intensive Care Unit Management System is a comprehensive platform designed to digitize the operations of a NICU. It features distinct interfaces for administrators (doctors, nurses, accountants) and parents. Nurses can register infants and update medical data, doctors can monitor patient conditions, and accountants manage billing. Parents are provided with a portal to monitor their child's condition, view updates, and handle financial transactions related to the care provided.",neonatal intensive care unit management system. a neonatal intensive care unit nicu also known as an intensive nursery icn is an intensive care unit specializing in the care of ill or premature newborn infants. the neonatal mortality rate is still dangerously high especially in the poorest countries. while some children born in developed countries have the best chance of survival those in less developed areas face serious risks due to the lack of specialized care. this project aims to bridge this gap by providing a digital management system for nicus to improve tracking monitoring and medical intervention for newborns.. the neonatal intensive care unit management system is a comprehensive platform designed to digitize the operations of a nicu. it features distinct interfaces for administrators doctors nurses accountants and parents. nurses can register infants and update medical data doctors can monitor patient conditions and accountants manage billing. parents are provided with a portal to monitor their child s condition view updates and handle financial transactions related to the care provided.,169,"['neonatal intensive care', 'unit management system', 'care unit specializing', 'intensive nursery icn', 'intensive care unit', 'care unit nicu']",86.88
162,,Network-Based Intrusion Detection System (NIDS),"Ahmed Magdy Ahmed Hassan Awad, Aly Alaa El-Din Aly Helal, Jaidaa Hosny Adly Ibrahim, Logine Hosny Adly Ibrahim",2024,"The following documents the creation of a Network-based Intrusion Detection & (NIDS) system built on a python infrastructure on Windows, whereby network security enthusiasts as well as security practitioners can monitor a small-to-medium sized network and view alerts generated based on a wealth of databases. The databases will contain well-known malicious-activity digital signatures, IP addresses, DNSs, email addresses and other information extracted from continuously-updated. The administrators of this utility will have the ability to smoothly choose signature databases as well as real-time feeds with which to filter traffic, generate alerts to mitigate risk to the network. These rules and configurations will be customized through the interface. We intend to further provide this system with a Machine Learning integration that can help detect anomalies from expected normal traffic, mitigating the weakness of depending solely on signature-based detection, which is far from foolproof.","A GUI-based network security utility designed for Windows that monitors network traffic, analyzes packets, and generates alerts based on customizable signature databases and threat intelligence feeds to mitigate network risks.","The increasing sophistication of cyber threats, internet malware, and DDoS attacks poses a constant risk to network integrity, leading to potential financial loss, loss of trust, and data compromise for individuals and organizations.","A user-friendly, Python-based Network Intrusion Detection System (NIDS) that provides real-time traffic monitoring, customizable rule management, and automated alert generation to help security practitioners identify and respond to malicious activity.","1. Provide accurate and reliable functionality.
2. Implement intelligent AI-based functionalities.
3. Improve overall productivity and workflow optimization.
4. Develop a scalable and maintainable solution.
5. Reduce operational complexity and improve efficiency.
6. Implement secure authentication and authorization mechanisms.
7. Train and optimize machine learning algorithms.
8. Improve prediction accuracy using machine learning models.","Network-Based Intrusion Detection System (NIDS). The following documents the creation of a Network-based Intrusion Detection & (NIDS) system built on a python infrastructure on Windows, whereby network security enthusiasts as well as security practitioners can monitor a small-to-medium sized network and view alerts generated based on a wealth of databases. The databases will contain well-known malicious-activity digital signatures, IP addresses, DNSs, email addresses and other information extracted from continuously-updated. The administrators of this utility will have the ability to smoothly choose signature databases as well as real-time feeds with which to filter traffic, generate alerts to mitigate risk to the network. These rules and configurations will be customized through the interface. We intend to further provide this system with a Machine Learning integration that can help detect anomalies from expected normal traffic, mitigating the weakness of depending solely on signature-based detection, which is far from foolproof.. A GUI-based network security utility designed for Windows that monitors network traffic, analyzes packets, and generates alerts based on customizable signature databases and threat intelligence feeds to mitigate network risks.",network-based intrusion detection system nids . the following documents the creation of a network-based intrusion detection nids system built on a python infrastructure on windows whereby network security enthusiasts as well as security practitioners can monitor a small-to-medium sized network and view alerts generated based on a wealth of databases. the databases will contain well-known malicious-activity digital signatures ip addresses dnss email addresses and other information extracted from continuously-updated. the administrators of this utility will have the ability to smoothly choose signature databases as well as real-time feeds with which to filter traffic generate alerts to mitigate risk to the network. these rules and configurations will be customized through the interface. we intend to further provide this system with a machine learning integration that can help detect anomalies from expected normal traffic mitigating the weakness of depending solely on signature-based detection which is far from foolproof.. a gui-based network security utility designed for windows that monitors network traffic analyzes packets and generates alerts based on customizable signature databases and threat intelligence feeds to mitigate network risks.,176,"['network-based intrusion detection', 'network security enthusiasts', 'intrusion detection system', 'intrusion detection nids', 'documents the creation', 'alerts generated based', 'view alerts generated', 'python infrastructure', 'detection system nids', 'nids system built', 'sized network']",73.59
163,,Oncology Center Services and Prediction Techniques to Assist in Making Right Decision,"Alaa Walid Mohamed Alshitany, Eman Tarek Taha Ali, Basma Talaat Mahmoud Mohamed, Abdelrahman Ahmed Abdelhady, Yara Ahmed Mohamed Swisa",2023,"Cancer is a leading cause of death, and predicting the efficacy of cancer drugs is challenging due to patient heterogeneity. This project integrates GDSC and CCLE databases to analyze genomic, transcriptomic, and epigenomic data using deep learning models (CNN and GCN) to predict drug effectiveness. Additionally, an Android application is developed to streamline oncology center services, including appointment booking and digital patient record management, to assist doctors in clinical decision-making.","The project is a comprehensive medical informatics system designed for oncology centers. It combines a predictive AI engine that evaluates drug sensitivity for cancer patients based on multi-omics data with a management platform that digitizes hospital workflows, including patient scheduling, service selection, and electronic health records.","Oncology centers face significant challenges including inefficient appointment scheduling, reliance on manual paper-based patient records, and the difficulty for junior doctors to accurately predict the effectiveness of specific cancer drugs for individual patients.","The solution consists of two parts: a deep learning-based predictive model (using CNN and GCN) to determine drug efficacy based on patient profiles, and an Android application that digitizes administrative tasks, enables online appointment booking, and provides doctors with centralized access to patient records.","1. Improve workflow and management efficiency.
2. Reduce operational complexity and improve efficiency.
3. Support future scalability and feature expansion.
4. Develop a scalable and maintainable solution.
5. Improve system performance and reliability.
6. Improve overall productivity and workflow optimization.
7. Provide accurate and reliable functionality.
8. Improve decision-making using artificial intelligence techniques.","Oncology Center Services and Prediction Techniques to Assist in Making Right Decision. Cancer is a leading cause of death, and predicting the efficacy of cancer drugs is challenging due to patient heterogeneity. This project integrates GDSC and CCLE databases to analyze genomic, transcriptomic, and epigenomic data using deep learning models (CNN and GCN) to predict drug effectiveness. Additionally, an Android application is developed to streamline oncology center services, including appointment booking and digital patient record management, to assist doctors in clinical decision-making.. The project is a comprehensive medical informatics system designed for oncology centers. It combines a predictive AI engine that evaluates drug sensitivity for cancer patients based on multi-omics data with a management platform that digitizes hospital workflows, including patient scheduling, service selection, and electronic health records.",oncology center services and prediction techniques to assist in making right decision. cancer is a leading cause of death and predicting the efficacy of cancer drugs is challenging due to patient heterogeneity. this project integrates gdsc and ccle databases to analyze genomic transcriptomic and epigenomic data using deep learning models cnn and gcn to predict drug effectiveness. additionally an android application is developed to streamline oncology center services including appointment booking and digital patient record management to assist doctors in clinical decision-making.. the project is a comprehensive medical informatics system designed for oncology centers. it combines a predictive ai engine that evaluates drug sensitivity for cancer patients based on multi-omics data with a management platform that digitizes hospital workflows including patient scheduling service selection and electronic health records.,128,"['streamline oncology center', 'predict drug effectiveness', 'center services including', 'oncology center services', 'making right decision', 'prediction techniques', 'techniques to assist', 'assist in making']",99.78
164,,Online Assessment For E-Learning,"Alaa Seif Abdel Aziz, Fatma Ibrahim Abdelmagid, Samar Abdelsameaa Zaki",2013,"The Online Assessment System is designed to streamline the examination process for educational institutes. It provides a platform for conducting Multiple Choice Examinations (M.C) efficiently, allowing for regular testing and surprise quizzes. By automating the assessment process, the system saves significant time for faculty members in preparing mark sheets and grading, while providing students with a flexible and accessible testing environment.","This project is an online assessment platform tailored for e-learning environments. It aims to modernize the traditional examination process by moving it to a digital interface. The system supports various courses across different disciplines, enabling institutes to manage student evaluations, track performance, and provide immediate feedback. It addresses the logistical challenges of traditional testing by reducing manual administrative work and providing a scalable solution for large student bodies.","Traditional examination methods are time-consuming, labor-intensive for faculty, and often lack the flexibility required for modern e-learning environments. Manual grading and paper-based testing create bottlenecks in the educational process and delay feedback for students.","The proposed solution is a web-based Online Assessment System that automates the creation, administration, and grading of examinations. It allows for the seamless management of multiple-choice tests, providing immediate results and reducing the administrative burden on instructors while enhancing the learning experience for students.","1. Implement modern technologies and best practices.
2. Support future scalability and feature expansion.
3. Enhance user experience and usability.
4. Improve system performance and reliability.
5. Reduce operational complexity and improve efficiency.
6. Provide accurate and reliable functionality.
7. Improve overall productivity and workflow optimization.","Online Assessment For E-Learning. The Online Assessment System is designed to streamline the examination process for educational institutes. It provides a platform for conducting Multiple Choice Examinations (M.C) efficiently, allowing for regular testing and surprise quizzes. By automating the assessment process, the system saves significant time for faculty members in preparing mark sheets and grading, while providing students with a flexible and accessible testing environment.. This project is an online assessment platform tailored for e-learning environments. It aims to modernize the traditional examination process by moving it to a digital interface. The system supports various courses across different disciplines, enabling institutes to manage student evaluations, track performance, and provide immediate feedback. It addresses the logistical challenges of traditional testing by reducing manual administrative work and providing a scalable solution for large student bodies.",online assessment for e-learning. the online assessment system is designed to streamline the examination process for educational institutes. it provides a platform for conducting multiple choice examinations m.c efficiently allowing for regular testing and surprise quizzes. by automating the assessment process the system saves significant time for faculty members in preparing mark sheets and grading while providing students with a flexible and accessible testing environment.. this project is an online assessment platform tailored for e-learning environments. it aims to modernize the traditional examination process by moving it to a digital interface. the system supports various courses across different disciplines enabling institutes to manage student evaluations track performance and provide immediate feedback. it addresses the logistical challenges of traditional testing by reducing manual administrative work and providing a scalable solution for large student bodies.,133,"['traditional examination process', 'assessment platform tailored', 'multiple choice examinations', 'online assessment system', 'system saves significant', 'assessment process']",66.13
165,,Online Auction,"Mohamad Abdelrahman Elsayed Abdelrahman, Mai Gamal Elsayed Elsayed, Noura Khaled Bayoumi Atia, Ahmed Saeed Abdelfattah Ali, Abeer Sami Ahmed Yousef",2023,"In view of the prosperity of electronic commerce and people's need for electronic buying and selling sites, this project introduces an online auction application. The system facilitates the sale of products at the best possible price by allowing users to access auctions from anywhere at any time. It incorporates AI methods for product recommendations based on user behavior and feedback. The platform also addresses unemployment by allowing users to register as freelance delivery agents, and ensures security through digital contracts between buyers, sellers, and suppliers.","The project is a comprehensive web-based online auction platform designed to overcome geographical and time barriers associated with traditional auctions. It provides a secure environment for users to buy and sell products, features an AI-driven recommendation engine to personalize the shopping experience, and includes a unique freelance delivery system to support logistics and job creation.","Traditional auctions are limited by geographical and time constraints, requiring physical presence. Existing online auction sites often lack advanced AI-driven personalization, charge high fees for account creation, or are restricted to specific product categories, creating barriers for general users.","A web-based online auction platform that utilizes AI recommendation algorithms to suggest products based on user search history and feedback. The system allows free account creation, supports global bidding, ensures transaction security through digital contracts, and integrates a freelance delivery model to facilitate logistics.","1. Implement intelligent AI-based functionalities.
2. Improve overall productivity and workflow optimization.
3. Implement modern technologies and best practices.
4. Improve system performance and reliability.
5. Improve decision-making using artificial intelligence techniques.","Online Auction. In view of the prosperity of electronic commerce and people's need for electronic buying and selling sites, this project introduces an online auction application. The system facilitates the sale of products at the best possible price by allowing users to access auctions from anywhere at any time. It incorporates AI methods for product recommendations based on user behavior and feedback. The platform also addresses unemployment by allowing users to register as freelance delivery agents, and ensures security through digital contracts between buyers, sellers, and suppliers.. The project is a comprehensive web-based online auction platform designed to overcome geographical and time barriers associated with traditional auctions. It provides a secure environment for users to buy and sell products, features an AI-driven recommendation engine to personalize the shopping experience, and includes a unique freelance delivery system to support logistics and job creation.",online auction. in view of the prosperity of electronic commerce and people s need for electronic buying and selling sites this project introduces an online auction application. the system facilitates the sale of products at the best possible price by allowing users to access auctions from anywhere at any time. it incorporates ai methods for product recommendations based on user behavior and feedback. the platform also addresses unemployment by allowing users to register as freelance delivery agents and ensures security through digital contracts between buyers sellers and suppliers.. the project is a comprehensive web-based online auction platform designed to overcome geographical and time barriers associated with traditional auctions. it provides a secure environment for users to buy and sell products features an ai-driven recommendation engine to personalize the shopping experience and includes a unique freelance delivery system to support logistics and job creation.,143,"['comprehensive web-based online', 'online auction application', 'auction platform designed', 'electronic commerce', 'freelance delivery', 'electronic buying', 'access auctions', 'allowing users']",84.76
166,,Online Election,"Mona Saeed Abd El Wahab, Noha Amin Ibrahim, Ahmed Ragab Abo ElSoud, Nada atef Ali, Mai Ali Hassan, Diaa Mansour Khedr",2021,"Elections are the official process for choosing a person to hold an official position, and their success depends on citizen participation. This project aims to solve obstacles in traditional paper-based voting, such as overcrowding at polling stations, the risk of virus transmission (e.g., COVID-19), and potential electoral fraud. By transitioning to an electronic system via the Internet, the project facilitates access to candidate information, reduces the time and effort required for citizens to vote, and ensures a more secure and efficient electoral process.","The Online Election project is a web-based platform designed to digitize the voting process for student and senate elections. It provides a centralized portal where users can view candidate profiles, including their curriculum vitae and electoral symbols, and cast their votes securely. The system incorporates user verification via mobile codes and provides real-time election results, aiming to modernize the voting experience while maintaining transparency and accessibility.","Traditional paper-based elections suffer from several issues: overcrowding at polling stations, difficulty in locating voting centers, increased risk of spreading viruses, susceptibility to electoral fraud, significant time consumption, and a lack of accessible information regarding candidates.","A secure, web-based electronic voting system that allows users to vote remotely from any internet-connected device. The system includes features for candidate information display, user identity verification via mobile SMS codes, secure data collection, and automated result calculation to ensure accuracy and efficiency.","1. Enhance user experience and usability.
2. Provide accurate and reliable functionality.
3. Improve decision-making using artificial intelligence techniques.
4. Improve overall productivity and workflow optimization.
5. Create a mobile-friendly and accessible application.","Online Election. Elections are the official process for choosing a person to hold an official position, and their success depends on citizen participation. This project aims to solve obstacles in traditional paper-based voting, such as overcrowding at polling stations, the risk of virus transmission (e.g., COVID-19), and potential electoral fraud. By transitioning to an electronic system via the Internet, the project facilitates access to candidate information, reduces the time and effort required for citizens to vote, and ensures a more secure and efficient electoral process.. The Online Election project is a web-based platform designed to digitize the voting process for student and senate elections. It provides a centralized portal where users can view candidate profiles, including their curriculum vitae and electoral symbols, and cast their votes securely. The system incorporates user verification via mobile codes and provides real-time election results, aiming to modernize the voting experience while maintaining transparency and accessibility.",online election. elections are the official process for choosing a person to hold an official position and their success depends on citizen participation. this project aims to solve obstacles in traditional paper-based voting such as overcrowding at polling stations the risk of virus transmission e.g. covid-19 and potential electoral fraud. by transitioning to an electronic system via the internet the project facilitates access to candidate information reduces the time and effort required for citizens to vote and ensures a more secure and efficient electoral process.. the online election project is a web-based platform designed to digitize the voting process for student and senate elections. it provides a centralized portal where users can view candidate profiles including their curriculum vitae and electoral symbols and cast their votes securely. the system incorporates user verification via mobile codes and provides real-time election results aiming to modernize the voting experience while maintaining transparency and accessibility.,151,"['traditional paper-based voting', 'efficient electoral process.', 'project facilitates access', 'online election project', 'citizen participation', 'process for choosing', 'official position', 'choosing a person', 'official process', 'voting process']",100.0
167,,Online learning tool,"Ashraf Mohamed Zaki, Elsayiny Saleh, Elsayed Ayman Nasr, Dina Rizk Rizk, Shaimaa Elsayed anes",2018,"Online learning tools and websites leverage internet and communication technologies to improve the learning process by overcoming the disadvantages of traditional learning, making it easier and more effective. While many platforms like Udacity and Coursera exist, this project aims to develop a specialized e-learning tool that provides flexibility, allowing users to study anytime and anywhere, breaking the constraints of traditional classroom hours.","The project is a web-based e-learning platform designed to facilitate digital education. It provides a dynamic environment where students can access educational materials, and instructors can manage content. The system is built to be a cost-efficient and accessible alternative to traditional classroom-based learning, supporting self-paced study.","Traditional learning is often restricted by rigid time schedules (e.g., 7 am to 3 pm) and physical location requirements, which limits accessibility and flexibility for students.","A web-based e-learning platform that allows students to access educational content at their own convenience, providing a more flexible, cost-effective, and accessible learning experience compared to traditional methods.","1. Reduce operational complexity and improve efficiency.
2. Implement modern technologies and best practices.
3. Improve overall productivity and workflow optimization.
4. Enhance user experience and usability.
5. Improve decision-making using artificial intelligence techniques.
6. Provide accurate and reliable functionality.","Online learning tool. Online learning tools and websites leverage internet and communication technologies to improve the learning process by overcoming the disadvantages of traditional learning, making it easier and more effective. While many platforms like Udacity and Coursera exist, this project aims to develop a specialized e-learning tool that provides flexibility, allowing users to study anytime and anywhere, breaking the constraints of traditional classroom hours.. The project is a web-based e-learning platform designed to facilitate digital education. It provides a dynamic environment where students can access educational materials, and instructors can manage content. The system is built to be a cost-efficient and accessible alternative to traditional classroom-based learning, supporting self-paced study.",online learning tool. online learning tools and websites leverage internet and communication technologies to improve the learning process by overcoming the disadvantages of traditional learning making it easier and more effective. while many platforms like udacity and coursera exist this project aims to develop a specialized e-learning tool that provides flexibility allowing users to study anytime and anywhere breaking the constraints of traditional classroom hours.. the project is a web-based e-learning platform designed to facilitate digital education. it provides a dynamic environment where students can access educational materials and instructors can manage content. the system is built to be a cost-efficient and accessible alternative to traditional classroom-based learning supporting self-paced study.,111,"['traditional classroom-based learning', 'traditional classroom hours.', 'traditional learning making', 'specialized e-learning tool', 'websites leverage internet', 'online learning tools', 'learning process']",64.21
168,,Online railway reservation system,"Mahmoud Mustafa Mahmoud, Alshimaa Sabry Ismail, Mustafa Essam Ibrahim, Bassma Nasser Saad, Yara Elsayed",2024,The main idea of our project is to make it easy to anyone to search for any train he wants or to know all available trains and their time to any place and give the ability to reserve your ticket from your home or anywhere at any time by using your phone.,"This project is an online railway reservation system designed to streamline the process of searching for train schedules and booking tickets. It provides a user-friendly interface that allows passengers to view train availability, select routes, and complete reservations remotely, eliminating the need to visit physical stations.","Travelers often face difficulties in booking train tickets due to time constraints, the inability to visit stations, or a lack of information regarding train schedules and availability, leading to lost time and inefficient travel planning.","An online railway reservation system that enables users to search for trains, check real-time schedules, and book tickets from any location at any time, while also providing features to easily update or cancel existing reservations.","1. Improve decision-making using artificial intelligence techniques.
2. Support future scalability and feature expansion.
3. Develop a scalable and maintainable solution.
4. Implement modern technologies and best practices.
5. Provide accurate and reliable functionality.","Online railway reservation system. The main idea of our project is to make it easy to anyone to search for any train he wants or to know all available trains and their time to any place and give the ability to reserve your ticket from your home or anywhere at any time by using your phone.. This project is an online railway reservation system designed to streamline the process of searching for train schedules and booking tickets. It provides a user-friendly interface that allows passengers to view train availability, select routes, and complete reservations remotely, eliminating the need to visit physical stations.",online railway reservation system. the main idea of our project is to make it easy to anyone to search for any train he wants or to know all available trains and their time to any place and give the ability to reserve your ticket from your home or anywhere at any time by using your phone.. this project is an online railway reservation system designed to streamline the process of searching for train schedules and booking tickets. it provides a user-friendly interface that allows passengers to view train availability select routes and complete reservations remotely eliminating the need to visit physical stations.,102,"['reservations remotely eliminating', 'complete reservations remotely', 'reservation system designed', 'online railway reservation', 'railway reservation system', 'give the ability', 'place and give', 'make it easy', 'main idea']",100.0
169,,Online reservation system for maintenance work,"Ibrahim Mohammed Abdel Nafe, Huzayfah Nasef Abdullah, Ahmed Sherif Ahmed, Ahmed Sayed Mohammed, Tamer Mohammed Abdel Sadeq",2023,"Mobile application that aims to serve the community and facilitate life matters. When a person searches for a technician in a specific profession, He may find it difficult to reach the right and qualified technicians. So, our flutter app facilitates the following tasks: 1- Searching for technicians in various fields. 2- Viewing the technician's Portfolio that contains previous work. 3- in-app chat between the customer and the technician to reach an agreement. 4- Order the technicians from the app and when the work is done the customer must provide feedback about the work. 5- this feedback is processed by AI model and turned into a rate for the technician. 6- the app makes technicians find work easily and urges them to do their best in their work. thus, we won't face problems finding the proper people to do a specific job and we will spare time and effort.","The project is a mobile application designed to connect customers with qualified technicians for maintenance work. It features a search function, technician portfolios, in-app chat, location tracking, and an AI-driven rating system based on customer feedback to ensure quality and reliability.","The difficulty of finding qualified and trustworthy technicians for maintenance tasks, leading to wasted time, effort, and the risk of being deceived by unqualified individuals.","A mobile application that allows users to search for nearby technicians, view their portfolios, communicate via in-app chat, and rate them based on completed work using an AI-powered feedback system.","1. Implement intelligent AI-based functionalities.
2. Provide accurate and reliable functionality.
3. Improve decision-making using artificial intelligence techniques.
4. Improve tracking accuracy and operational visibility.
5. Reduce operational complexity and improve efficiency.
6. Support future scalability and feature expansion.
7. Develop a scalable and maintainable solution.","Online reservation system for maintenance work. Mobile application that aims to serve the community and facilitate life matters. When a person searches for a technician in a specific profession, He may find it difficult to reach the right and qualified technicians. So, our flutter app facilitates the following tasks: 1- Searching for technicians in various fields. 2- Viewing the technician's Portfolio that contains previous work. 3- in-app chat between the customer and the technician to reach an agreement. 4- Order the technicians from the app and when the work is done the customer must provide feedback about the work. 5- this feedback is processed by AI model and turned into a rate for the technician. 6- the app makes technicians find work easily and urges them to do their best in their work. thus, we won't face problems finding the proper people to do a specific job and we will spare time and effort.. The project is a mobile application designed to connect customers with qualified technicians for maintenance work. It features a search function, technician portfolios, in-app chat, location tracking, and an AI-driven rating system based on customer feedback to ensure quality and reliability.",online reservation system for maintenance work. mobile application that aims to serve the community and facilitate life matters. when a person searches for a technician in a specific profession he may find it difficult to reach the right and qualified technicians. so our flutter app facilitates the following tasks 1- searching for technicians in various fields. 2- viewing the technician s portfolio that contains previous work. 3- in-app chat between the customer and the technician to reach an agreement. 4- order the technicians from the app and when the work is done the customer must provide feedback about the work. 5- this feedback is processed by ai model and turned into a rate for the technician. 6- the app makes technicians find work easily and urges them to do their best in their work. thus we won t face problems finding the proper people to do a specific job and we will spare time and effort.. the project is a mobile application designed to connect customers with qualified technicians for maintenance work. it features a search function technician portfolios in-app chat location tracking and an ai-driven rating system based on customer feedback to ensure quality and reliability.,197,"['online reservation system', 'facilitate life matters', 'qualified technicians', 'technicians find work', 'mobile application', 'maintenance work', 'in-app chat']",94.11
170,,ONLINE VOTING SYSTEM,"Israa Ahmed Abdu, Enas Ghayad Abdelkhalek, Menna Allah Wafik Mousa, Hoda Mohamed Ghallab, Hoda Hesham Hamed",2015,"The word “vote” means to choose from a list, to elect or to determine. Our project discusses the various security threats for an online internet voting system and describes the most common threat in the communication medium. This online voting system seeks to address these issues by providing a secure, transparent, and accessible platform for citizens to cast their votes remotely. By leveraging digital technology and robust verification protocols, the system aims to increase voter participation, reduce costs, and minimize human error associated with traditional paper-based polling.","The Online Voting System is a web-based platform designed to modernize the democratic process in Egypt. It allows eligible citizens over the age of 18 to cast their votes securely from any location, eliminating the need for physical presence at polling stations. The system integrates with the Civil Registry of Egypt database to ensure voter authenticity and maintains high security standards to prevent fraud and ensure the integrity of the election results.","Traditional manual election processes are plagued by issues such as time-consuming hand counts, potential for voter error, lack of transparency, high costs, and physical congestion at polling locations. Furthermore, paper-based systems are susceptible to manipulation and logistical delays in declaring results.","An automated, secure online voting platform that authenticates voters using their National ID (SSN) and multi-factor verification (security questions and SMS codes). The system manages the entire election lifecycle—pre-voting registration, secure voting, and automated post-voting reporting—to ensure accuracy, confidentiality, and verifiability.","1. Enhance user experience and usability.
2. Improve system performance and reliability.
3. Develop a responsive and user-friendly web application.
4. Enhance system security and protect sensitive user data.
5. Develop a scalable and maintainable solution.","ONLINE VOTING SYSTEM. The word “vote” means to choose from a list, to elect or to determine. Our project discusses the various security threats for an online internet voting system and describes the most common threat in the communication medium. This online voting system seeks to address these issues by providing a secure, transparent, and accessible platform for citizens to cast their votes remotely. By leveraging digital technology and robust verification protocols, the system aims to increase voter participation, reduce costs, and minimize human error associated with traditional paper-based polling.. The Online Voting System is a web-based platform designed to modernize the democratic process in Egypt. It allows eligible citizens over the age of 18 to cast their votes securely from any location, eliminating the need for physical presence at polling stations. The system integrates with the Civil Registry of Egypt database to ensure voter authenticity and maintains high security standards to prevent fraud and ensure the integrity of the election results.",online voting system. the word vote means to choose from a list to elect or to determine. our project discusses the various security threats for an online internet voting system and describes the most common threat in the communication medium. this online voting system seeks to address these issues by providing a secure transparent and accessible platform for citizens to cast their votes remotely. by leveraging digital technology and robust verification protocols the system aims to increase voter participation reduce costs and minimize human error associated with traditional paper-based polling.. the online voting system is a web-based platform designed to modernize the democratic process in egypt. it allows eligible citizens over the age of 18 to cast their votes securely from any location eliminating the need for physical presence at polling stations. the system integrates with the civil registry of egypt database to ensure voter authenticity and maintains high security standards to prevent fraud and ensure the integrity of the election results.,162,"['internet voting system', 'voting system seeks', 'system integrates', 'cast their votes', 'list to elect', 'system aims', 'word vote']",100.0
171,,Opinion mining,"Esraa Samir Yassin, Rehab refat Hamady, Shimaa Ali Saber, Nesreen Refat Mokhtar",2016,"This project presents an opinion mining and sentiment analysis system designed to assist consumers and businesses in navigating the complexities of online shopping. By leveraging the Best Buy API to aggregate product data, the platform enables users to share and review experiences, thereby facilitating informed purchasing decisions and providing businesses with valuable insights into consumer sentiment. The system is built using a robust web architecture, incorporating the CodeIgniter PHP framework and responsive front-end technologies to ensure a seamless user experience.","In more recent times the buying and selling and shopping online operations spread Terribly. Most people see it become very useful to them because it saves them time and effort, But for everything the advantages and disadvantages, but there is a defect could lead to a breakdown of those operations, people buy the product without knowing anything about Its quality or that it is useful or harmful, Consumers leaves the result of luck and most of the consumers are assured that the result ended in failure, and become harmful to the consumer, which led to the consumer for those operations away. From here came the idea of opinion mining system, or the so-called sentiment analysis, It helps the consumer to choose the best product by knowing the views of all the people who have used the product from all over the world and also gives his opinion on the consumer product to benefit others. That site allows all benefit and to ensure the safety of their operations.","Generally individuals and companies are always interested in other's opinion like if someone wants to purchase a new product, then firstly, he/she tries to know the reviews i.e., What other people think about the product and based on those reviews, he/she takes the decision. Also companies want to know what the public think about their products and services.","For the site back-end we use: Code igniter Framework Code igniter is PHP framework which compatible nicely with Almost all shared or dedicated Hosting platforms. Code igniter Support most common database. We use Best Buy API to list more than 2, 204 products in data Table which user can easily post his opinion about any product He also can see any product profile and can buy it. The Best Buy API provide lots of information about products Such as: product-id, name, type, Image","1. Improve overall productivity and workflow optimization.
2. Implement modern technologies and best practices.
3. Implement intelligent AI-based functionalities.
4. Reduce operational complexity and improve efficiency.
5. Develop a scalable and maintainable solution.
6. Generate accurate analytical insights and visualizations.","Opinion mining. This project presents an opinion mining and sentiment analysis system designed to assist consumers and businesses in navigating the complexities of online shopping. By leveraging the Best Buy API to aggregate product data, the platform enables users to share and review experiences, thereby facilitating informed purchasing decisions and providing businesses with valuable insights into consumer sentiment. The system is built using a robust web architecture, incorporating the CodeIgniter PHP framework and responsive front-end technologies to ensure a seamless user experience.. In more recent times the buying and selling and shopping online operations spread Terribly. Most people see it become very useful to them because it saves them time and effort, But for everything the advantages and disadvantages, but there is a defect could lead to a breakdown of those operations, people buy the product without knowing anything about Its quality or that it is useful or harmful, Consumers leaves the result of luck and most of the consumers are assured that the result ended in failure, and become harmful to the consumer, which led to the consumer for those operations away. From here came the idea of opinion mining system, or the so-called sentiment analysis, It helps the consumer to choose the best product by knowing the views of all the people who have used the product from all over the world and also gives his opinion on the consumer product to benefit others. That site allows all benefit and to ensure the safety of their operations.",opinion mining. this project presents an opinion mining and sentiment analysis system designed to assist consumers and businesses in navigating the complexities of online shopping. by leveraging the best buy api to aggregate product data the platform enables users to share and review experiences thereby facilitating informed purchasing decisions and providing businesses with valuable insights into consumer sentiment. the system is built using a robust web architecture incorporating the codeigniter php framework and responsive front-end technologies to ensure a seamless user experience.. in more recent times the buying and selling and shopping online operations spread terribly. most people see it become very useful to them because it saves them time and effort but for everything the advantages and disadvantages but there is a defect could lead to a breakdown of those operations people buy the product without knowing anything about its quality or that it is useful or harmful consumers leaves the result of luck and most of the consumers are assured that the result ended in failure and become harmful to the consumer which led to the consumer for those operations away. from here came the idea of opinion mining system or the so-called sentiment analysis it helps the consumer to choose the best product by knowing the views of all the people who have used the product from all over the world and also gives his opinion on the consumer product to benefit others. that site allows all benefit and to ensure the safety of their operations.,249,"['facilitating informed purchasing', 'sentiment analysis system', 'analysis system designed', 'aggregate product data', 'platform enables users', 'opinion mining system', 'operations people buy', 'consumer sentiment', 'consumer product']",100.0
172,,Personal Life Management System,"Afaf Hussien, Doaa Afifi, Samaa Elsayed, Sayeda Mosad, Shereen Shaban, Shimaa Abd Elmonem",2016,"The Personal Life Management System (LMS) is a comprehensive mobile application designed to assist users in organizing various aspects of their daily lives. It integrates features for religious guidance, appointment scheduling, health and diet management, emergency preparedness, and career development. By digitizing these daily tasks, the system aims to reduce reliance on inefficient paper-based methods and improve overall personal productivity.","LMS is a multi-functional application that serves as a personal assistant. It provides users with tools to manage their religious practices (reading Qur'an), health (diet systems), professional life (job searching and recruitment), and daily schedule (appointments and reminders). The system is designed to be a centralized hub for managing personal, social, and practical life activities.","Individuals struggle to manage diverse aspects of their lives, such as remembering appointments, maintaining healthy diets, finding suitable employment, and accessing emergency information. Traditional paper-based methods are prone to loss, damage, and inefficiency, leading to wasted time and lack of organization.","The development of a centralized mobile application (LMS) that automates and digitizes personal management tasks. The solution provides a digital interface for scheduling, health tracking, job matching, and quick access to religious texts and emergency protocols, replacing manual, paper-based processes.","1. Support future scalability and feature expansion.
2. Improve patient monitoring and healthcare management.
3. Enhance healthcare efficiency and accessibility.
4. Provide accurate and reliable functionality.
5. Implement intelligent AI-based functionalities.
6. Improve overall productivity and workflow optimization.
7. Improve mobile application usability and performance.","Personal Life Management System. The Personal Life Management System (LMS) is a comprehensive mobile application designed to assist users in organizing various aspects of their daily lives. It integrates features for religious guidance, appointment scheduling, health and diet management, emergency preparedness, and career development. By digitizing these daily tasks, the system aims to reduce reliance on inefficient paper-based methods and improve overall personal productivity.. LMS is a multi-functional application that serves as a personal assistant. It provides users with tools to manage their religious practices (reading Qur'an), health (diet systems), professional life (job searching and recruitment), and daily schedule (appointments and reminders). The system is designed to be a centralized hub for managing personal, social, and practical life activities.",personal life management system. the personal life management system lms is a comprehensive mobile application designed to assist users in organizing various aspects of their daily lives. it integrates features for religious guidance appointment scheduling health and diet management emergency preparedness and career development. by digitizing these daily tasks the system aims to reduce reliance on inefficient paper-based methods and improve overall personal productivity.. lms is a multi-functional application that serves as a personal assistant. it provides users with tools to manage their religious practices reading qur an health diet systems professional life job searching and recruitment and daily schedule appointments and reminders . the system is designed to be a centralized hub for managing personal social and practical life activities.,121,"['management emergency preparedness', 'comprehensive mobile application', 'mobile application designed', 'systems professional life', 'diet management emergency', 'personal life management', 'life management system', 'management system lms', 'health diet systems']",100.0
173,,Personal Profiling & Assistance,"Shenoda Adel Fawzy Arain, Abanoub Fawaz Fouad Rofaul, Ahmed Shaker Abdelhady Mohamed, Bassant Hassan Anwar Mahmoud, Sandra Emad Nady hakim, Sara Maher Khairy Elboray",2024,"The Personal Profiling & Assistance project is a digital health platform designed to provide initial mental health assessments and support. By leveraging artificial intelligence, the system evaluates user responses to identify potential indicators of anxiety, depression, and personality traits. The platform also serves as a bridge between users and professional care by providing a search feature for nearby psychiatrists and clinics, aiming to reduce the barriers to accessing mental health services.","This project is a comprehensive mental health support system that combines personality profiling with AI-driven diagnostic tools. It addresses the growing need for accessible mental health resources by offering self-assessment tools, initial diagnostic reports, and a directory of professional medical services. The platform is designed to provide guidance, reduce the stigma associated with seeking help, and offer immediate support for individuals experiencing psychological distress.","Individuals face significant challenges in accessing mental health support, including the high cost of services, geographical barriers, the stigma surrounding mental health, and the difficulty of obtaining an initial diagnosis without immediate professional consultation. Furthermore, the rise in mental health issues like anxiety and depression, coupled with a decline in face-to-face interaction, necessitates a digital solution for self-assessment and guidance.","The project proposes an AI-powered platform that offers interactive personality tests and mental health evaluations. The system analyzes user inputs to provide an initial assessment of mental well-being, including indicators for anxiety and depression, and generates personalized guidance tips. Additionally, it includes a location-based search feature to help users find nearby psychiatrists and clinics for further professional assistance.","1. Improve system performance and reliability.
2. Improve decision-making using artificial intelligence techniques.
3. Enhance user experience and usability.
4. Improve overall productivity and workflow optimization.
5. Provide accurate and reliable functionality.
6. Enhance healthcare efficiency and accessibility.
7. Reduce operational complexity and improve efficiency.","Personal Profiling & Assistance. The Personal Profiling & Assistance project is a digital health platform designed to provide initial mental health assessments and support. By leveraging artificial intelligence, the system evaluates user responses to identify potential indicators of anxiety, depression, and personality traits. The platform also serves as a bridge between users and professional care by providing a search feature for nearby psychiatrists and clinics, aiming to reduce the barriers to accessing mental health services.. This project is a comprehensive mental health support system that combines personality profiling with AI-driven diagnostic tools. It addresses the growing need for accessible mental health resources by offering self-assessment tools, initial diagnostic reports, and a directory of professional medical services. The platform is designed to provide guidance, reduce the stigma associated with seeking help, and offer immediate support for individuals experiencing psychological distress.",personal profiling assistance. the personal profiling assistance project is a digital health platform designed to provide initial mental health assessments and support. by leveraging artificial intelligence the system evaluates user responses to identify potential indicators of anxiety depression and personality traits. the platform also serves as a bridge between users and professional care by providing a search feature for nearby psychiatrists and clinics aiming to reduce the barriers to accessing mental health services.. this project is a comprehensive mental health support system that combines personality profiling with ai-driven diagnostic tools. it addresses the growing need for accessible mental health resources by offering self-assessment tools initial diagnostic reports and a directory of professional medical services. the platform is designed to provide guidance reduce the stigma associated with seeking help and offer immediate support for individuals experiencing psychological distress.,137,"['combines personality profiling', 'personal profiling assistance', 'profiling assistance project', 'mental health assessments', 'health platform designed', 'mental health services.', 'digital health platform', 'accessing mental health', 'initial mental health', 'designed to provide']",95.18
174,,Pharaohs Land Guide,"Omar Ashraf Abdel Rahman Ibrahim, Peter John Farahat Basta, Hussein Ramadan Mohamed Hussein, Ahmed Bassiouni Mohamed Malek, Ahmed Abdelnaby Oraby Ahmed, Ahmed wael fathy Elmashtoly, Ahmed wagdy AbdElrazek Gaafar, Mohamed Radwan Radwan Mahmoud, Emad Ibrahim Abdel Tawab Abbas, Ibrahim Saad Muhammad Abdel Hamid",2024,"In an era where technology seamlessly integrates with the realms of exploration and adventure, our project, ""Pharaohs Land Guide, "" emerges as a beacon of innovation in the domain of tourism. Rooted in the ancient wonders of Egypt, this smart tourism application harnesses the power of artificial intelligence (AI) to offer a transformative travel experience. Through a seamless blend of cutting-edge AI algorithms and comprehensive data analysis, ""Pharaohs Land Guide"" enables users to embark on an immersive journey through the rich tapestry of Egypt's cultural heritage. From the majestic pyramids of Giza to the serene banks of the Nile, users are guided to explore iconic landmarks, hidden gems, and off-the-beaten-path destinations. Key features of our application include image recognition technology, allowing users to discover historical sites by simply capturing a photo. Additionally, advanced voice search capabilities empower users to navigate through the application hands-free, enhancing accessibility and convenience. Moreover, ""Pharaohs Land Guide"" incorporates a sophisticated recommendation system that curates personalized travel itineraries based on user preferences, ensuring a tailored and unforgettable experience. With integrated transportation services, currency conversion tools, and interactive maps, users can seamlessly plan and navigate their Egyptian odyssey. Furthermore, the application fosters community engagement through features like user reviews and sharing experiences, enabling travelers to connect and share insights with fellow adventurers. In essence, ""Pharaohs Land Guide"" redefines the paradigm of modern tourism, offering a fusion of ancient wonders and cutting-edge technology to unravel the mysteries of Egypt's timeless legacy.","Welcome to Pharaohs Land Guide, a revolutionary project designed to transform the landscape of tourism applications and redefine the way travelers experience the wonders of Egypt. As we embark on this journey, our goal is to create a cutting-edge mobile application that seamlessly blends innovation, personalization, and cultural immersion to offer users an unparalleled exploration of Egypt's treasures.","In the realm of contemporary tourism applications, the existing solutions exhibit limitations in providing a truly personalized, culturally immersive, and technologically advanced exploration experience for users visiting Egypt. Current platforms lack the ability to dynamically adapt to individual preferences, offer indepth cultural narratives, and leverage cutting-edge technologies to enhance the overall journey. Specific Problems: 1- Generic Information Retrieval: Existing tourism apps often deliver generic information about landmarks and sites, lacking the ability to provide personalized details based on user preferences. 2- Recommendations: Recommendations in current solutions are static, relying on general popularity rather than real-time factors and individual preferences. 3- Cultural Disconnect: Users encounter a cultural disconnect as available apps provide basic factual information without immersing them in the rich historical and cultural context of Egypt. 4- Fragmented User Experience: Users are forced to switch between multiple platforms for information retrieval, recommendations, and travel assistance, resulting in a fragmented and disjointed user experience. Scope of the Problem: The identified problems within existing tourism applications emphasize the need for a solution that goes beyond conventional offerings. Pharaohs Land Guide aims to address these challenges by introducing a platform that prioritizes personalization, cultural immersion, and technological innovation, redefining the standards of tourism applications for users exploring Egypt.","Pharaohs Land Guide introduces a groundbreaking approach to personalized exploration, tailoring the user experience to individual preferences, interests, and travel styles. Our app redefines recommendations with a dynamic system that considers real-time factors such as weather, events, and user behavior, ensuring up-to-date and relevant suggestions. Pharaohs Land Guide stands out by delivering a deeper cultural connection. Through engaging narratives and historical storytelling, users will gain a profound understanding of the cultural significance behind each landmark and site. Our application offers a seamless and unified user experience by integrating information retrieval, recommendations, travel assistance, and cultural insights within a single platform, eliminating the need for users to switch between multiple apps. Pharaohs Land Guide introduces voice search capabilities, enabling users to interact with the app using natural language, making it more intuitive and user-friendly. At the forefront of travel technology innovation, Pharaohs Land Guide leverages state-of-the-art tools like advanced recommendation algorithms to deliver a unique and technologically advanced travel experience. In summary, Pharaohs Land Guide goes beyond the limitations of current solutions, offering a revolutionary approach to tourism that prioritizes personalization, cultural immersion, and cutting-edge technology. Our app is poised to set a new standard in the industry, providing users with a transformative and enriching exploration of Egypt.","1. Provide accurate and reliable functionality.
2. Develop a scalable and maintainable solution.
3. Support future scalability and feature expansion.
4. Provide efficient data analysis and reporting features.
5. Enhance user experience and usability.
6. Reduce operational complexity and improve efficiency.
7. Generate accurate analytical insights and visualizations.
8. Create a mobile-friendly and accessible application.","Pharaohs Land Guide. In an era where technology seamlessly integrates with the realms of exploration and adventure, our project, ""Pharaohs Land Guide, "" emerges as a beacon of innovation in the domain of tourism. Rooted in the ancient wonders of Egypt, this smart tourism application harnesses the power of artificial intelligence (AI) to offer a transformative travel experience. Through a seamless blend of cutting-edge AI algorithms and comprehensive data analysis, ""Pharaohs Land Guide"" enables users to embark on an immersive journey through the rich tapestry of Egypt's cultural heritage. From the majestic pyramids of Giza to the serene banks of the Nile, users are guided to explore iconic landmarks, hidden gems, and off-the-beaten-path destinations. Key features of our application include image recognition technology, allowing users to discover historical sites by simply capturing a photo. Additionally, advanced voice search capabilities empower users to navigate through the application hands-free, enhancing accessibility and convenience. Moreover, ""Pharaohs Land Guide"" incorporates a sophisticated recommendation system that curates personalized travel itineraries based on user preferences, ensuring a tailored and unforgettable experience. With integrated transportation services, currency conversion tools, and interactive maps, users can seamlessly plan and navigate their Egyptian odyssey. Furthermore, the application fosters community engagement through features like user reviews and sharing experiences, enabling travelers to connect and share insights with fellow adventurers. In essence, ""Pharaohs Land Guide"" redefines the paradigm of modern tourism, offering a fusion of ancient wonders and cutting-edge technology to unravel the mysteries of Egypt's timeless legacy.. Welcome to Pharaohs Land Guide, a revolutionary project designed to transform the landscape of tourism applications and redefine the way travelers experience the wonders of Egypt. As we embark on this journey, our goal is to create a cutting-edge mobile application that seamlessly blends innovation, personalization, and cultural immersion to offer users an unparalleled exploration of Egypt's treasures.",pharaohs land guide. in an era where technology seamlessly integrates with the realms of exploration and adventure our project pharaohs land guide emerges as a beacon of innovation in the domain of tourism. rooted in the ancient wonders of egypt this smart tourism application harnesses the power of artificial intelligence ai to offer a transformative travel experience. through a seamless blend of cutting-edge ai algorithms and comprehensive data analysis pharaohs land guide enables users to embark on an immersive journey through the rich tapestry of egypt s cultural heritage. from the majestic pyramids of giza to the serene banks of the nile users are guided to explore iconic landmarks hidden gems and off-the-beaten-path destinations. key features of our application include image recognition technology allowing users to discover historical sites by simply capturing a photo. additionally advanced voice search capabilities empower users to navigate through the application hands-free enhancing accessibility and convenience. moreover pharaohs land guide incorporates a sophisticated recommendation system that curates personalized travel itineraries based on user preferences ensuring a tailored and unforgettable experience. with integrated transportation services currency conversion tools and interactive maps users can seamlessly plan and navigate their egyptian odyssey. furthermore the application fosters community engagement through features like user reviews and sharing experiences enabling travelers to connect and share insights with fellow adventurers. in essence pharaohs land guide redefines the paradigm of modern tourism offering a fusion of ancient wonders and cutting-edge technology to unravel the mysteries of egypt s timeless legacy.. welcome to pharaohs land guide a revolutionary project designed to transform the landscape of tourism applications and redefine the way travelers experience the wonders of egypt. as we embark on this journey our goal is to create a cutting-edge mobile application that seamlessly blends innovation personalization and cultural immersion to offer users an unparalleled exploration of egypt s treasures.,306,"['tourism application harnesses', 'land guide incorporates', 'analysis pharaohs land', 'project pharaohs land', 'essence pharaohs land', 'land guide redefines', 'pharaohs land guide', 'guide enables users', 'land guide emerges', 'land guide enables']",61.89
175,,PipTalk,"Nour Wagdy Nasr, Mostafa Mohamed Anwar, El-Sayed Samy Shaalan, El-Sayed Mohamed El-Sayed, Mohamed El-Sayed Mohamed",2017,"PipTalk is a chat application built for Android and Web users that allows people of different nationalities and languages to communicate without the burden of manual translation. Users simply write a message in their native language, and the application automatically translates and delivers it to the recipient in their own native language.","PipTalk is a communication platform designed to bridge language barriers. It provides a standard chat interface including authentication, user profiles, and search functionality, enhanced with an integrated translation engine that enables seamless cross-language messaging for users on both mobile and web platforms.","Users often struggle to communicate with individuals from different countries due to language barriers, which hinders global connection and the formation of international relationships in an increasingly connected world.","The development of a cross-platform chat application (Android and Web) that incorporates an automated translation feature, allowing users to send and receive messages in their preferred native languages.","1. Improve system performance and reliability.
2. Support future scalability and feature expansion.
3. Develop a responsive and user-friendly web application.
4. Reduce operational complexity and improve efficiency.
5. Implement modern technologies and best practices.
6. Provide accurate and reliable functionality.","PipTalk. PipTalk is a chat application built for Android and Web users that allows people of different nationalities and languages to communicate without the burden of manual translation. Users simply write a message in their native language, and the application automatically translates and delivers it to the recipient in their own native language.. PipTalk is a communication platform designed to bridge language barriers. It provides a standard chat interface including authentication, user profiles, and search functionality, enhanced with an integrated translation engine that enables seamless cross-language messaging for users on both mobile and web platforms.",piptalk. piptalk is a chat application built for android and web users that allows people of different nationalities and languages to communicate without the burden of manual translation. users simply write a message in their native language and the application automatically translates and delivers it to the recipient in their own native language.. piptalk is a communication platform designed to bridge language barriers. it provides a standard chat interface including authentication user profiles and search functionality enhanced with an integrated translation engine that enables seamless cross-language messaging for users on both mobile and web platforms.,95,"['application automatically translates', 'chat application built', 'manual translation', 'users simply write', 'built for android', 'burden of manual', 'android and web', 'native language', 'web users']",100.0
176,,"Plant care system using AI ""Leaf&Root""","Ahmed Hamdy Saied Mohamed, Menna Ahmed Mohamed Fouad, Mohamed Gamal Zenhom Khalil, Marwa Mohamed Samy Mohamed, Mohamed Tarek Mohamed Hussein, Eslam Khairy Hamed Mohamed, Baher Mohamed Zakaria Elgobashi, Nourhan Ayman elsayed Ahmed",2025,"Plant diseases are among the most significant challenges in agriculture, leading to substantial reductions in crop yield and quality. These diseases are caused by biological, environmental, and chemical factors, making early and accurate detection crucial for effective disease management. Traditionally, plant disease diagnosis relies on manual visual inspection by farmers or agricultural experts, which is time-consuming, requires experience, and is prone to human errors. To address these challenges, we propose an automated deep learning-based system for the diagnosis of the most common plant diseases. The system provides precise identification of the disease based on leaf images and suggests appropriate treatments to mitigate its effects. Our system is designed as both a smartphone application and a web platform, making it easily accessible to farmers and agricultural researchers. The system utilizes image processing and deep learning techniques to classify plant diseases with high accuracy. Plant images were collected using smartphone cameras and drones, ensuring a diverse dataset that enhances model robustness. Prior to training, various preprocessing techniques, including data augmentation, were applied to improve model performance. The proposed system consists of two deep learning models, each trained on a different subset of plant disease images. The first model achieved 94% training accuracy and 92% test accuracy, while the second model demonstrated 96% training accuracy and 95% test accuracy. The models were developed using pre-trained models architectures, which are known for their efficiency and high performance in image classification tasks. By leveraging machine learning and computer vision, this system offers an efficient and scalable approach to early disease detection, reducing the reliance on expert evaluations and enabling farmers to take proactive measures to protect their crops. As the dataset grows and model performance improves, the system has the potential to become a vital tool for modern precision agriculture, helping to increase crop productivity, reduce losses, and ensure food security on a global scale.","AI Integration: Machine learning models are utilized for plant identification, disease detection, and toxic plant classification, delivering precise and actionable insights. IoT Integration: IoT sensors for humidity and temperature enhance real-time monitoring and data collection, empowering users to make informed decisions.","Plant care is an essential yet challenging task that requires knowledge, consistency, and time. Despite the growing popularity of indoor and outdoor gardening, many individuals struggle to provide the appropriate care for their plants. This often leads to poor plant health, reduced aesthetic appeal, and, in severe cases, plant death. The key challenges faced by plant owners can be summarized as follows: 1- Plant Identification: • Difficulty in accurately identifying plant species. • Without accurate identification, understanding specific care needs such as soil type, light exposure, watering frequency, and temperature requirements becomes difficult. 2- Disease Recognition: • Inability to detect and diagnose plant diseases at an early stage. • Misdiagnosing or failing to diagnose diseases in time can lead to ineffective treatments or irreversible damage. 3- Lack of Reliable Information: • Limited access to reliable, real-time information about plant care practices. • Reliance on general advice that may not suit specific plant requirements. 4- Improper Placement: • Challenges in determining the best environmental conditions for plants. • Placing plants in areas with unsuitable light intensity or humidity. 5- Watering Issues: • Overwatering or underwatering due to inconsistent care routines. 6- Time Constraints: • Busy lifestyles leading to irregular care schedules. • Forgetting essential tasks like watering or checking plant health. 7- Environmental Monitoring: • Absence of tools to assess environmental conditions like light and humidity. • Difficulty maintaining optimal growth conditions for plants. 8- Communication Barriers: • Many users find it difficult to communicate with fellow plant enthusiasts to share information, tips, and experiences. This lack of communication can lead to isolation and missed opportunities for learning and support.","To address these challenges, the proposed system offers a comprehensive platform for plant care, incorporating the following features:, Plant Identification: Users can take photos of their plants, and the system will identify them, providing names and relevant details to ensure proper care.","1. Enhance system security and protect sensitive user data.
2. Improve system performance and reliability.
3. Support future scalability and feature expansion.
4. Develop a responsive and user-friendly web application.
5. Enable real-time monitoring using connected devices.
6. Implement intelligent AI-based functionalities.
7. Implement secure authentication and authorization mechanisms.","Plant care system using AI ""Leaf&Root"". Plant diseases are among the most significant challenges in agriculture, leading to substantial reductions in crop yield and quality. These diseases are caused by biological, environmental, and chemical factors, making early and accurate detection crucial for effective disease management. Traditionally, plant disease diagnosis relies on manual visual inspection by farmers or agricultural experts, which is time-consuming, requires experience, and is prone to human errors. To address these challenges, we propose an automated deep learning-based system for the diagnosis of the most common plant diseases. The system provides precise identification of the disease based on leaf images and suggests appropriate treatments to mitigate its effects. Our system is designed as both a smartphone application and a web platform, making it easily accessible to farmers and agricultural researchers. The system utilizes image processing and deep learning techniques to classify plant diseases with high accuracy. Plant images were collected using smartphone cameras and drones, ensuring a diverse dataset that enhances model robustness. Prior to training, various preprocessing techniques, including data augmentation, were applied to improve model performance. The proposed system consists of two deep learning models, each trained on a different subset of plant disease images. The first model achieved 94% training accuracy and 92% test accuracy, while the second model demonstrated 96% training accuracy and 95% test accuracy. The models were developed using pre-trained models architectures, which are known for their efficiency and high performance in image classification tasks. By leveraging machine learning and computer vision, this system offers an efficient and scalable approach to early disease detection, reducing the reliance on expert evaluations and enabling farmers to take proactive measures to protect their crops. As the dataset grows and model performance improves, the system has the potential to become a vital tool for modern precision agriculture, helping to increase crop productivity, reduce losses, and ensure food security on a global scale.. AI Integration: Machine learning models are utilized for plant identification, disease detection, and toxic plant classification, delivering precise and actionable insights. IoT Integration: IoT sensors for humidity and temperature enhance real-time monitoring and data collection, empowering users to make informed decisions.",plant care system using ai leaf root . plant diseases are among the most significant challenges in agriculture leading to substantial reductions in crop yield and quality. these diseases are caused by biological environmental and chemical factors making early and accurate detection crucial for effective disease management. traditionally plant disease diagnosis relies on manual visual inspection by farmers or agricultural experts which is time-consuming requires experience and is prone to human errors. to address these challenges we propose an automated deep learning-based system for the diagnosis of the most common plant diseases. the system provides precise identification of the disease based on leaf images and suggests appropriate treatments to mitigate its effects. our system is designed as both a smartphone application and a web platform making it easily accessible to farmers and agricultural researchers. the system utilizes image processing and deep learning techniques to classify plant diseases with high accuracy. plant images were collected using smartphone cameras and drones ensuring a diverse dataset that enhances model robustness. prior to training various preprocessing techniques including data augmentation were applied to improve model performance. the proposed system consists of two deep learning models each trained on a different subset of plant disease images. the first model achieved 94 training accuracy and 92 test accuracy while the second model demonstrated 96 training accuracy and 95 test accuracy. the models were developed using pre-trained models architectures which are known for their efficiency and high performance in image classification tasks. by leveraging machine learning and computer vision this system offers an efficient and scalable approach to early disease detection reducing the reliance on expert evaluations and enabling farmers to take proactive measures to protect their crops. as the dataset grows and model performance improves the system has the potential to become a vital tool for modern precision agriculture helping to increase crop productivity reduce losses and ensure food security on a global scale.. ai integration machine learning models are utilized for plant identification disease detection and toxic plant classification delivering precise and actionable insights. iot integration iot sensors for humidity and temperature enhance real-time monitoring and data collection empowering users to make informed decisions.,359,"['traditionally plant disease', 'plant disease diagnosis', 'leading to substantial', 'substantial reductions', 'significant challenges', 'plant disease images', 'plant care system', 'yield and quality', 'disease detection', 'leaf root']",76.1
177,,Portal OCR,"Ahmed Mohamed Abd Elmeged, Eslam Mohamed Mahmoud, Eatemad Mohamed Mahmoud, Khaled Abd Elnaser, Nada Mahmoud Maghraby",2015,"Portal OCR is an iPhone app platform that utilizes optical character recognition to transform image-based characters into editable digital text. The application allows users to capture text via a mobile camera or gallery, edit the recognized text, save it as a PDF, email it, or upload it to Dropbox. Additionally, it features translation capabilities, text-to-speech conversion, and a communication engine for users to discuss and share information.","Portal OCR is a mobile application designed for the iOS platform that bridges the gap between physical documents and digital content. It enables users to digitize printed materials instantly using their phone's camera, eliminating the need for traditional scanners. Beyond simple OCR, the app integrates translation services, text-to-speech functionality, and a social messaging component to facilitate collaboration and information exchange among users.","Traditional OCR processes require expensive scanners and specialized hardware, making it difficult for users to digitize documents on the go. Furthermore, manual retyping of printed documents is time-consuming and prone to errors.","A mobile application for iOS that leverages the device's built-in camera to perform real-time OCR. The solution includes features for text editing, PDF generation, cloud storage integration (Dropbox), multi-language translation, and text-to-speech conversion to enhance accessibility and productivity.","1. Create a mobile-friendly and accessible application.
2. Enhance user experience and usability.
3. Provide accurate and reliable functionality.
4. Reduce operational complexity and improve efficiency.
5. Improve overall productivity and workflow optimization.
6. Improve mobile application usability and performance.","Portal OCR. Portal OCR is an iPhone app platform that utilizes optical character recognition to transform image-based characters into editable digital text. The application allows users to capture text via a mobile camera or gallery, edit the recognized text, save it as a PDF, email it, or upload it to Dropbox. Additionally, it features translation capabilities, text-to-speech conversion, and a communication engine for users to discuss and share information.. Portal OCR is a mobile application designed for the iOS platform that bridges the gap between physical documents and digital content. It enables users to digitize printed materials instantly using their phone's camera, eliminating the need for traditional scanners. Beyond simple OCR, the app integrates translation services, text-to-speech functionality, and a social messaging component to facilitate collaboration and information exchange among users.",portal ocr. portal ocr is an iphone app platform that utilizes optical character recognition to transform image-based characters into editable digital text. the application allows users to capture text via a mobile camera or gallery edit the recognized text save it as a pdf email it or upload it to dropbox. additionally it features translation capabilities text-to-speech conversion and a communication engine for users to discuss and share information.. portal ocr is a mobile application designed for the ios platform that bridges the gap between physical documents and digital content. it enables users to digitize printed materials instantly using their phone s camera eliminating the need for traditional scanners. beyond simple ocr the app integrates translation services text-to-speech functionality and a social messaging component to facilitate collaboration and information exchange among users.,132,"['transform image-based characters', 'optical character recognition', 'utilizes optical character', 'recognition to transform', 'editable digital text', 'iphone app platform', 'portal ocr']",100.0
178,,Price Comparing Website,"Mostafa Ibrahim Mohamed Hajr, Eslam Mohamed Eissa Mohamed",2023,"The amount of data in our lives is growing exponentially, making data analytics a crucial part of organizational operations. As big data, AI, and machine learning evolve, there is a growing need for sophisticated web scraping tools. This project addresses the need for price comparison platforms, which are valuable not only for individual consumers seeking the best deals but also for businesses monitoring market trends and competitor pricing on a daily basis.","A web-based platform designed to aggregate product pricing data from various e-commerce websites. The system utilizes automated web scraping techniques to collect, process, and display product information, allowing users to compare prices, features, and deals across multiple retailers in one centralized location.","Consumers often struggle to find the best deals because they have to manually visit multiple e-commerce stores to compare prices, features, and shipping costs, which is time-consuming and inefficient.",A centralized price comparison website that uses Python-based web scrapers to automatically collect product data from different e-commerce platforms and present them to the user in a unified interface for easy comparison.,"1. Improve overall productivity and workflow optimization.
2. Train and optimize machine learning algorithms.
3. Develop a responsive and user-friendly web application.
4. Provide accurate and reliable functionality.
5. Improve prediction accuracy using machine learning models.
6. Support future scalability and feature expansion.","Price Comparing Website. The amount of data in our lives is growing exponentially, making data analytics a crucial part of organizational operations. As big data, AI, and machine learning evolve, there is a growing need for sophisticated web scraping tools. This project addresses the need for price comparison platforms, which are valuable not only for individual consumers seeking the best deals but also for businesses monitoring market trends and competitor pricing on a daily basis.. A web-based platform designed to aggregate product pricing data from various e-commerce websites. The system utilizes automated web scraping techniques to collect, process, and display product information, allowing users to compare prices, features, and deals across multiple retailers in one centralized location.",price comparing website. the amount of data in our lives is growing exponentially making data analytics a crucial part of organizational operations. as big data ai and machine learning evolve there is a growing need for sophisticated web scraping tools. this project addresses the need for price comparison platforms which are valuable not only for individual consumers seeking the best deals but also for businesses monitoring market trends and competitor pricing on a daily basis.. a web-based platform designed to aggregate product pricing data from various e-commerce websites. the system utilizes automated web scraping techniques to collect process and display product information allowing users to compare prices features and deals across multiple retailers in one centralized location.,117,"['growing exponentially making', 'organizational operations', 'price comparing website', 'part of organizational', 'making data analytics', 'analytics a crucial', 'web scraping', 'crucial part']",100.0
179,,Project Manager,"Ahmed Abd-Elghany Dabour, Ahmed Iraki Mohamed, Esraa Ragab Abd-Elhameed, Hend Sabry Hassan, Manar Mohamed Ahmed, Mervat Karam El-Sayed, Samar Samy Mohamed",2015,"Many of the projects are not completed due to poor planning. In many organizations most of projects exceeded time, or money limits while others lost their objectives. Many studies are made to look for all the complexities and difficulties that face teamwork and cause that failure in delivery of many projects. One of the main reasons that the studies found was that individuals in organization are not fully prepared to adapt to an increasingly digital work environment, either online or offline. Another reason was that most of time is wasted in casual meetings rather than using this time in productivity. In a real organization, each member may work in more than one project at the same time what makes it difficult that all employees are aware of all challenges that face their organization. Accordingly, our solution is that we developed a project management system named ""Project Manager"". Project Manager platform enables manager to create projects, tasks, assign them to team members and upload attachments. Easy communication among teamwork is guaranteed through project chat that allows all project members to do digital meeting. There is also ability to comment on tasks to easily communicate and solve any misunderstanding between one task members. We hope that our platform will be turning point in project management for saving time and cost and help teams work in more productive environment and deliver more projects.","Project Manager is a web-based platform designed to streamline organizational workflows by centralizing project tracking, task assignment, and team communication. It aims to replace inefficient traditional meeting structures with digital collaboration tools, allowing team members to manage multiple projects simultaneously while maintaining transparency and accountability.","Organizations frequently fail to complete projects on time or within budget due to poor planning, inefficient communication, excessive time spent in unproductive meetings, and a lack of preparedness for digital work environments.","The development of a centralized 'Project Manager' web platform that enables managers to create projects, assign tasks, share files, and facilitate real-time team communication through integrated chat and task-specific commenting features.","1. Improve overall productivity and workflow optimization.
2. Improve system performance and reliability.
3. Improve accessibility across different devices and platforms.
4. Enable real-time monitoring and tracking capabilities.
5. Reduce operational complexity and improve efficiency.","Project Manager. Many of the projects are not completed due to poor planning. In many organizations most of projects exceeded time, or money limits while others lost their objectives. Many studies are made to look for all the complexities and difficulties that face teamwork and cause that failure in delivery of many projects. One of the main reasons that the studies found was that individuals in organization are not fully prepared to adapt to an increasingly digital work environment, either online or offline. Another reason was that most of time is wasted in casual meetings rather than using this time in productivity. In a real organization, each member may work in more than one project at the same time what makes it difficult that all employees are aware of all challenges that face their organization. Accordingly, our solution is that we developed a project management system named ""Project Manager"". Project Manager platform enables manager to create projects, tasks, assign them to team members and upload attachments. Easy communication among teamwork is guaranteed through project chat that allows all project members to do digital meeting. There is also ability to comment on tasks to easily communicate and solve any misunderstanding between one task members. We hope that our platform will be turning point in project management for saving time and cost and help teams work in more productive environment and deliver more projects.. Project Manager is a web-based platform designed to streamline organizational workflows by centralizing project tracking, task assignment, and team communication. It aims to replace inefficient traditional meeting structures with digital collaboration tools, allowing team members to manage multiple projects simultaneously while maintaining transparency and accountability.",project manager. many of the projects are not completed due to poor planning. in many organizations most of projects exceeded time or money limits while others lost their objectives. many studies are made to look for all the complexities and difficulties that face teamwork and cause that failure in delivery of many projects. one of the main reasons that the studies found was that individuals in organization are not fully prepared to adapt to an increasingly digital work environment either online or offline. another reason was that most of time is wasted in casual meetings rather than using this time in productivity. in a real organization each member may work in more than one project at the same time what makes it difficult that all employees are aware of all challenges that face their organization. accordingly our solution is that we developed a project management system named project manager . project manager platform enables manager to create projects tasks assign them to team members and upload attachments. easy communication among teamwork is guaranteed through project chat that allows all project members to do digital meeting. there is also ability to comment on tasks to easily communicate and solve any misunderstanding between one task members. we hope that our platform will be turning point in project management for saving time and cost and help teams work in more productive environment and deliver more projects.. project manager is a web-based platform designed to streamline organizational workflows by centralizing project tracking task assignment and team communication. it aims to replace inefficient traditional meeting structures with digital collaboration tools allowing team members to manage multiple projects simultaneously while maintaining transparency and accountability.,278,"['project management', 'project manager', 'team members']",83.96
180,,Protection Helmet,"Mahmoud Emad El-Sayed, Marwan Abdel Hamid Mohamed Al Mehy, Mustafa Yasser Mustafa, Nora Abu Al Yazid, Mina Nabil Georgy Thabet, Muhammed Gamal Mousa Nasr, Ibrahim Rageh Ibrahim",2024,"A smart helmet has been developed that is able to detect hazardous events in dangerous workplaces (mines, building sites, etc.) to protect and secure workers. The project focuses on the mining industry, utilizing gas sensors (MQ2 & MQ5) to detect toxic and flammable gases like CO, CO2, CH4, and H2S. The system integrates hardware sensors and a camera with an AI model to monitor environmental conditions and worker health, providing real-time data to a mobile application for immediate safety intervention.","The project involves creating an intelligent mining helmet equipped with a wireless sensor network and camera. It monitors the mine environment for hazardous gases, structural instability (cracks), and fire risks, while simultaneously tracking the health status of the miners. Data is processed via an AI model and transmitted to a centralized system, allowing supervisors to monitor conditions via a Flutter-based mobile application and take preventative actions to save lives and reduce economic loss.","Mining is one of the most dangerous industries, characterized by high rates of injury and death. Current safety helmets only provide physical protection against bumps and lack the technology to monitor environmental hazards (toxic gases, fire, structural collapse) or the health status of miners in real-time, leaving workers vulnerable in noisy and hazardous environments.","The proposed solution is a smart helmet integrated with IoT sensors and a camera. The system continuously monitors the mine environment for gas leaks, temperature, humidity, and structural cracks. It uses a Raspberry Pi to collect data and images, which are sent to Firebase. An AI model analyzes this data to detect potential dangers, and the results are displayed on a Flutter mobile application for supervisors to monitor and respond to emergencies.","1. Enhance healthcare efficiency and accessibility.
2. Develop a scalable and maintainable solution.
3. Improve system performance and reliability.
4. Reduce operational complexity and improve efficiency.
5. Improve mobile application usability and performance.","Protection Helmet. A smart helmet has been developed that is able to detect hazardous events in dangerous workplaces (mines, building sites, etc.) to protect and secure workers. The project focuses on the mining industry, utilizing gas sensors (MQ2 & MQ5) to detect toxic and flammable gases like CO, CO2, CH4, and H2S. The system integrates hardware sensors and a camera with an AI model to monitor environmental conditions and worker health, providing real-time data to a mobile application for immediate safety intervention.. The project involves creating an intelligent mining helmet equipped with a wireless sensor network and camera. It monitors the mine environment for hazardous gases, structural instability (cracks), and fire risks, while simultaneously tracking the health status of the miners. Data is processed via an AI model and transmitted to a centralized system, allowing supervisors to monitor conditions via a Flutter-based mobile application and take preventative actions to save lives and reduce economic loss.",protection helmet. a smart helmet has been developed that is able to detect hazardous events in dangerous workplaces mines building sites etc. to protect and secure workers. the project focuses on the mining industry utilizing gas sensors mq2 mq5 to detect toxic and flammable gases like co co2 ch4 and h2s. the system integrates hardware sensors and a camera with an ai model to monitor environmental conditions and worker health providing real-time data to a mobile application for immediate safety intervention.. the project involves creating an intelligent mining helmet equipped with a wireless sensor network and camera. it monitors the mine environment for hazardous gases structural instability cracks and fire risks while simultaneously tracking the health status of the miners. data is processed via an ai model and transmitted to a centralized system allowing supervisors to monitor conditions via a flutter-based mobile application and take preventative actions to save lives and reduce economic loss.,154,"['dangerous workplaces mines', 'workplaces mines building', 'intelligent mining helmet', 'detect hazardous events', 'mines building sites', 'events in dangerous', 'mobile application', 'protection helmet', 'smart helmet']",100.0
181,,Query,"Moataz Ahmed Hassan Mostafa, Mohamed Mamdouh Goda Ali, Amgad Saadallah Asaad Faheem, Mona Mohammady Saber Mohamed, Israa Elsayed Rezq Ouda, Aya Yahya Abdelsame Elsaid",2022,"Query is a free website that offers a wide range of questions and answers on many topics: programming, medical, literary, etc. The site serves as a platform for users to ask and answer questions about each other, to vote on questions and answers, by joining and actively participating, by accepting (up) or rejecting (down) and editing questions and answers in a manner like a wiki or reddit. This is a traditional question and answer site. Users are given new privileges such as the ability to vote and comment. All User Generated Content is licensed under the Creative Commons Attribution-Share Alike License. Each user has his own page, and you can follow his own content in response to questions. You can also follow the most frequently asked questions and the most commented questions. The new questions are reviewed through artificial intelligence and matched with the questions on the site so that the questions are not repeated, and the user reaches his goal quickly.","Query is a collaborative knowledge-sharing platform designed to facilitate information exchange across various domains. It functions as a community-driven Q&A site where users can post inquiries, provide answers, and curate content through voting and editing mechanisms. The platform integrates AI to analyze incoming questions, preventing redundancy by matching them with existing content to ensure users find relevant information efficiently.","Students, professors, and general users often face difficulties in finding specific, high-quality answers to their questions online. Existing search methods can be inefficient, and users struggle to find reliable information or solutions to complex problems due to fragmented or repetitive content.","The project proposes 'Query', a centralized, community-driven Q&A web platform. It utilizes a structured voting and editing system to maintain content quality and incorporates an AI-based matching engine to filter and categorize new questions, ensuring that users are directed to existing solutions or relevant discussions, thereby reducing redundancy and improving search accuracy.","1. Develop a responsive and user-friendly web application.
2. Enhance user experience and usability.
3. Improve accessibility across different devices and platforms.
4. Support future scalability and feature expansion.
5. Improve system performance and reliability.
6. Reduce operational complexity and improve efficiency.
7. Improve overall productivity and workflow optimization.
8. Improve decision-making using artificial intelligence techniques.","Query. Query is a free website that offers a wide range of questions and answers on many topics: programming, medical, literary, etc. The site serves as a platform for users to ask and answer questions about each other, to vote on questions and answers, by joining and actively participating, by accepting (up) or rejecting (down) and editing questions and answers in a manner like a wiki or reddit. This is a traditional question and answer site. Users are given new privileges such as the ability to vote and comment. All User Generated Content is licensed under the Creative Commons Attribution-Share Alike License. Each user has his own page, and you can follow his own content in response to questions. You can also follow the most frequently asked questions and the most commented questions. The new questions are reviewed through artificial intelligence and matched with the questions on the site so that the questions are not repeated, and the user reaches his goal quickly.. Query is a collaborative knowledge-sharing platform designed to facilitate information exchange across various domains. It functions as a community-driven Q&A site where users can post inquiries, provide answers, and curate content through voting and editing mechanisms. The platform integrates AI to analyze incoming questions, preventing redundancy by matching them with existing content to ensure users find relevant information efficiently.",query. query is a free website that offers a wide range of questions and answers on many topics programming medical literary etc. the site serves as a platform for users to ask and answer questions about each other to vote on questions and answers by joining and actively participating by accepting up or rejecting down and editing questions and answers in a manner like a wiki or reddit. this is a traditional question and answer site. users are given new privileges such as the ability to vote and comment. all user generated content is licensed under the creative commons attribution-share alike license. each user has his own page and you can follow his own content in response to questions. you can also follow the most frequently asked questions and the most commented questions. the new questions are reviewed through artificial intelligence and matched with the questions on the site so that the questions are not repeated and the user reaches his goal quickly.. query is a collaborative knowledge-sharing platform designed to facilitate information exchange across various domains. it functions as a community-driven q a site where users can post inquiries provide answers and curate content through voting and editing mechanisms. the platform integrates ai to analyze incoming questions preventing redundancy by matching them with existing content to ensure users find relevant information efficiently.,223,"['programming medical literary', 'topics programming medical', 'questions and answers', 'website that offers', 'answer questions', 'free website', 'answer site']",100.0
182,,Ransomware Detection,"Mohamed Ayman Said Elshazly, Mohamed Abdallah Abdulghani Osman, Mohamed Mosad Fraouk zaki, Rahma Hussein Ghoneim, Sara Atef Fawzy, Omneya Ahmed Metwally Hassan",2023,"Ransomware is a type of sophisticated virus that uses encryption to prohibit users from accessing their data unless a ransom is paid to the attacker. The threat presented by ransomware is quite severe, with new varieties and families being discovered on the internet and dark web on a regular basis. Given the nature of the encryption algorithms utilized by ransomware, recovering from an infection is challenging. The rise in ransomware is also accompanied by an increase in the usage of artificial intelligence. Machine learning and deep learning techniques to detecting ransomware are attracting a lot of attention since machine learning and deep learning can identify zero-day threats. So in our project we use different machine learning algorithm to detect the zero day ransomware for the executable file depend on the features of the header of the file.",This project provides an open-source ransomware detection system consisting of a desktop application for offline scanning and a web-based platform for online analysis. The system utilizes machine learning models trained on file header features to identify zero-day ransomware threats. The web component integrates with the VirusTotal API and MITRE ATT&CK framework to provide comprehensive threat intelligence and file analysis history.,"Ransomware attacks are becoming increasingly sophisticated and frequent, often bypassing traditional signature-based detection methods. These attacks deny users access to critical data, and current security solutions often struggle to identify new, zero-day ransomware variants effectively.","The team developed a machine learning-based detection system that analyzes the header features of executable files to identify potential ransomware. By training models on specific file characteristics, the system can detect zero-day threats that lack known signatures. The solution is offered as an open-source tool, allowing for community contribution and transparency.","1. Develop a responsive and user-friendly web application.
2. Reduce operational complexity and improve efficiency.
3. Improve prediction accuracy using machine learning models.
4. Develop a scalable and maintainable solution.
5. Improve decision-making using artificial intelligence techniques.
6. Improve accessibility across different devices and platforms.","Ransomware Detection. Ransomware is a type of sophisticated virus that uses encryption to prohibit users from accessing their data unless a ransom is paid to the attacker. The threat presented by ransomware is quite severe, with new varieties and families being discovered on the internet and dark web on a regular basis. Given the nature of the encryption algorithms utilized by ransomware, recovering from an infection is challenging. The rise in ransomware is also accompanied by an increase in the usage of artificial intelligence. Machine learning and deep learning techniques to detecting ransomware are attracting a lot of attention since machine learning and deep learning can identify zero-day threats. So in our project we use different machine learning algorithm to detect the zero day ransomware for the executable file depend on the features of the header of the file.. This project provides an open-source ransomware detection system consisting of a desktop application for offline scanning and a web-based platform for online analysis. The system utilizes machine learning models trained on file header features to identify zero-day ransomware threats. The web component integrates with the VirusTotal API and MITRE ATT&CK framework to provide comprehensive threat intelligence and file analysis history.",ransomware detection. ransomware is a type of sophisticated virus that uses encryption to prohibit users from accessing their data unless a ransom is paid to the attacker. the threat presented by ransomware is quite severe with new varieties and families being discovered on the internet and dark web on a regular basis. given the nature of the encryption algorithms utilized by ransomware recovering from an infection is challenging. the rise in ransomware is also accompanied by an increase in the usage of artificial intelligence. machine learning and deep learning techniques to detecting ransomware are attracting a lot of attention since machine learning and deep learning can identify zero-day threats. so in our project we use different machine learning algorithm to detect the zero day ransomware for the executable file depend on the features of the header of the file.. this project provides an open-source ransomware detection system consisting of a desktop application for offline scanning and a web-based platform for online analysis. the system utilizes machine learning models trained on file header features to identify zero-day ransomware threats. the web component integrates with the virustotal api and mitre att ck framework to provide comprehensive threat intelligence and file analysis history.,200,"['open-source ransomware detection', 'identify zero-day ransomware', 'zero-day ransomware threats', 'machine learning algorithm', 'utilizes machine learning', 'machine learning models', 'deep learning']",85.09
183,,RapidShare,"Ashraf Saad Shewail, Eslam Mamdouh Abd Elmoteleb, Eslam Zakaria Gad-Allah, Ahmed Hamdy Yassein, Mohamed Abd Elfattah Abd Elgwwad, Abd Elmonaem Ezzat Abd Elmonaem",2017,"With the introduction of smart phones and mobile devices, the rate of technology usage has become widespread. It is very likely to see anyone using mobile device on the street, in the bus, at work, at school or even at home no matter if there is a fully functional computer nearby. Particularly, the usage of smart phones is not just limited to basic communication; they are being used as a technological gadget in our daily lives for years. We can easily reach such applications on different fields e.g. image processing, audio tuning, video editing, voice recognition. With the help of these smart applications we are able to interact with our environment much faster, and consequently make life easier, relatively for sure. Apart from mobile phone industry, sharing and staying connected to our environment has become very popular. A person who has a mobile phone with latest technology desires to communicate with friends, share feelings instantly, and of course meet new people who understand him well. In this context, technology came to the point where needs of modern human overlaps today's technology. This study aims to provide a basic application to users who has got those needs in terms of sharing and communicating, for maintaining easy and costless solution. This study currently offers prototype application to this problem using WIFI Direct technology, and intends to be pioneer of its field in consequence of existing small numbers of related applications in the market. As a consequence of this study a basic application is developed where user can discover peers, transfer images and audio data. Connection is established.","RapidShare is a local social media application designed for organizations, faculties, companies, and individual users. It facilitates peer-to-peer communication and file sharing without relying on the internet, utilizing Wi-Fi Direct technology to create an ad-hoc network between devices. The application supports voice, text, and drawing-based communication, as well as high-speed file transfers, making it a cost-effective and secure solution for local environments.","Smart phones require 3G or network access points, which are not always available or affordable. Furthermore, connecting to public access points can be insecure, and internet-based communication is often costly or unavailable in specific locations like factories, tunnels, or museums.",The project proposes an Android-based application that uses Wi-Fi Direct technology to establish an ad-hoc network between smart phones. This allows users to communicate and share data directly with each other without needing an internet connection or external network infrastructure.,"1. Reduce operational complexity and improve efficiency.
2. Improve system performance and reliability.
3. Implement modern technologies and best practices.
4. Improve decision-making using artificial intelligence techniques.
5. Improve overall productivity and workflow optimization.
6. Implement intelligent AI-based functionalities.
7. Develop a scalable and maintainable solution.
8. Improve mobile application usability and performance.","RapidShare. With the introduction of smart phones and mobile devices, the rate of technology usage has become widespread. It is very likely to see anyone using mobile device on the street, in the bus, at work, at school or even at home no matter if there is a fully functional computer nearby. Particularly, the usage of smart phones is not just limited to basic communication; they are being used as a technological gadget in our daily lives for years. We can easily reach such applications on different fields e.g. image processing, audio tuning, video editing, voice recognition. With the help of these smart applications we are able to interact with our environment much faster, and consequently make life easier, relatively for sure. Apart from mobile phone industry, sharing and staying connected to our environment has become very popular. A person who has a mobile phone with latest technology desires to communicate with friends, share feelings instantly, and of course meet new people who understand him well. In this context, technology came to the point where needs of modern human overlaps today's technology. This study aims to provide a basic application to users who has got those needs in terms of sharing and communicating, for maintaining easy and costless solution. This study currently offers prototype application to this problem using WIFI Direct technology, and intends to be pioneer of its field in consequence of existing small numbers of related applications in the market. As a consequence of this study a basic application is developed where user can discover peers, transfer images and audio data. Connection is established.. RapidShare is a local social media application designed for organizations, faculties, companies, and individual users. It facilitates peer-to-peer communication and file sharing without relying on the internet, utilizing Wi-Fi Direct technology to create an ad-hoc network between devices. The application supports voice, text, and drawing-based communication, as well as high-speed file transfers, making it a cost-effective and secure solution for local environments.",rapidshare. with the introduction of smart phones and mobile devices the rate of technology usage has become widespread. it is very likely to see anyone using mobile device on the street in the bus at work at school or even at home no matter if there is a fully functional computer nearby. particularly the usage of smart phones is not just limited to basic communication they are being used as a technological gadget in our daily lives for years. we can easily reach such applications on different fields e.g. image processing audio tuning video editing voice recognition. with the help of these smart applications we are able to interact with our environment much faster and consequently make life easier relatively for sure. apart from mobile phone industry sharing and staying connected to our environment has become very popular. a person who has a mobile phone with latest technology desires to communicate with friends share feelings instantly and of course meet new people who understand him well. in this context technology came to the point where needs of modern human overlaps today s technology. this study aims to provide a basic application to users who has got those needs in terms of sharing and communicating for maintaining easy and costless solution. this study currently offers prototype application to this problem using wifi direct technology and intends to be pioneer of its field in consequence of existing small numbers of related applications in the market. as a consequence of this study a basic application is developed where user can discover peers transfer images and audio data. connection is established.. rapidshare is a local social media application designed for organizations faculties companies and individual users. it facilitates peer-to-peer communication and file sharing without relying on the internet utilizing wi-fi direct technology to create an ad-hoc network between devices. the application supports voice text and drawing-based communication as well as high-speed file transfers making it a cost-effective and secure solution for local environments.,329,"['functional computer nearby', 'introduction of smart', 'mobile phone industry', 'basic application', 'devices the rate', 'mobile devices', 'smart phones']",92.88
184,,Ration Services Application,"Ali Ahmed Anwar, Samah El-Sayed, Alia Atef Tawfik, Ahmed Mohamed Hamed",2020,"This project introduces a new generation of the ration system by replacing traditional physical ration cards with a mobile application. The system utilizes QR codes generated from national ID images to verify customer identity and manage ration services. It is divided into two main sections: one for customers to obtain commodities and manage points, and another for sellers to register goods and monitor transactions, effectively reducing fraud and manual paperwork.","The Ration Services Application is a digital platform designed to modernize the Egyptian ration system. It replaces physical smart cards with a secure mobile interface. The system allows families to manage their ration accounts, view consumption, and add or remove family members. For providers, it offers a management dashboard to track inventory, process sales via QR code scanning, and automatically calculate point deductions, ensuring a transparent and efficient supply chain.","The traditional ration system suffers from issues such as long waiting times, manual paperwork, potential for fraud, difficulty in managing family member data, and the inconvenience of lost physical smart cards.","A mobile-based application that replaces physical cards with QR codes linked to national IDs. The solution provides a digital interface for both consumers and sellers to manage transactions, track points, and update family data in real-time, thereby eliminating manual errors and reducing crowding at distribution points.","1. Reduce operational complexity and improve efficiency.
2. Improve decision-making using artificial intelligence techniques.
3. Improve workflow and management efficiency.
4. Implement intelligent AI-based functionalities.
5. Improve mobile application usability and performance.
6. Provide accurate and reliable functionality.
7. Improve system performance and reliability.","Ration Services Application. This project introduces a new generation of the ration system by replacing traditional physical ration cards with a mobile application. The system utilizes QR codes generated from national ID images to verify customer identity and manage ration services. It is divided into two main sections: one for customers to obtain commodities and manage points, and another for sellers to register goods and monitor transactions, effectively reducing fraud and manual paperwork.. The Ration Services Application is a digital platform designed to modernize the Egyptian ration system. It replaces physical smart cards with a secure mobile interface. The system allows families to manage their ration accounts, view consumption, and add or remove family members. For providers, it offers a management dashboard to track inventory, process sales via QR code scanning, and automatically calculate point deductions, ensuring a transparent and efficient supply chain.",ration services application. this project introduces a new generation of the ration system by replacing traditional physical ration cards with a mobile application. the system utilizes qr codes generated from national id images to verify customer identity and manage ration services. it is divided into two main sections one for customers to obtain commodities and manage points and another for sellers to register goods and monitor transactions effectively reducing fraud and manual paperwork.. the ration services application is a digital platform designed to modernize the egyptian ration system. it replaces physical smart cards with a secure mobile interface. the system allows families to manage their ration accounts view consumption and add or remove family members. for providers it offers a management dashboard to track inventory process sales via qr code scanning and automatically calculate point deductions ensuring a transparent and efficient supply chain.,143,"['replacing traditional physical', 'ration services application', 'traditional physical ration', 'egyptian ration system', 'physical ration cards', 'mobile application']",100.0
185,,Reading Text For Blind People Using Mobile App,"Mohammed Ali Abdelmaujoud, Asmaa Saeed Saleh., Asmaa Magdy Elsayad., Mohammed Ebrahim Fatoh Elsaid., Asmaa Reda Adross Khater., May Elsayed Hassan Ali",2018,"Reading text is part of everyone's life. reading is important for gaining knowledge and entertainment, Reading on just reading books, but reading everything around you like bills - menus in the restaurant, knowing the money numbers and time, etc. Etc. The World Health Organization (WHO) estimates 253 million people live with vision impairment: 36 million are blind and 217 million have moderate to severe vision impairment. Unfortunately, everything is not printed in Braille or audio format for the blind (or visually impaired). Braille includes problems such as large book size and slow reading in this context; the present work focuses the development of a text to speech for help the blind to read. Reading Text for Blind People is mobile application that allows a blind user to ""read"" text (a sheet of paper, a book, etc.). To achieve that, a set of frameworks of Optical Character Recognition (OCR) and Text to Speech (TTS) are integrated, which enables the user, using a smartphone, to take a picture and hear the text that exists in the picture.","Reading is a human right, but at the currently not all people can access books or other reading materials as they can buy devices that help to read because it is expensive so we thought about our project (Text Reading For blind people) which allow vision impairment and blindness to hear the voice without moves his/her finger across the page or your smart device.","Reading text is part of everyone's life, reading is important for gaining knowledge and entertainment. The World Health Organization WHOestimates 253 million people live with vision impairment: 36 million are blind and 217 million have moderate to severe vision impairment. It's estimated that 1:3 people with disability between the ages of 18-64 live in poverty 81% of all people who are blind or have moderate to severe vision impairment are aged 50 years and above. Unfortunately, not everything is printed in Braille or audio format for the blind (or visually impaired). Braille text includes problems such as large book size and slow reading, there are devices to help the blind to read like a ring (finger reader) but it is expensive.","To solve this problem, we work on developing a mobile application to helps the blind people will be able to read any text easily in anywhere. In application, the blind can interact with application by commands voice, he/she can order application to take a photo or open file (pdf, word, etc.) and then apply the OCR technology to get the text and text convert to voice via TTS technology which the blind can hear this voice.","1. Improve patient monitoring and healthcare management.
2. Provide accurate and reliable functionality.
3. Create a mobile-friendly and accessible application.
4. Enhance user experience and usability.
5. Improve overall productivity and workflow optimization.
6. Improve decision-making using artificial intelligence techniques.
7. Implement intelligent AI-based functionalities.","Reading Text For Blind People Using Mobile App. Reading text is part of everyone's life. reading is important for gaining knowledge and entertainment, Reading on just reading books, but reading everything around you like bills - menus in the restaurant, knowing the money numbers and time, etc. Etc. The World Health Organization (WHO) estimates 253 million people live with vision impairment: 36 million are blind and 217 million have moderate to severe vision impairment. Unfortunately, everything is not printed in Braille or audio format for the blind (or visually impaired). Braille includes problems such as large book size and slow reading in this context; the present work focuses the development of a text to speech for help the blind to read. Reading Text for Blind People is mobile application that allows a blind user to ""read"" text (a sheet of paper, a book, etc.). To achieve that, a set of frameworks of Optical Character Recognition (OCR) and Text to Speech (TTS) are integrated, which enables the user, using a smartphone, to take a picture and hear the text that exists in the picture.. Reading is a human right, but at the currently not all people can access books or other reading materials as they can buy devices that help to read because it is expensive so we thought about our project (Text Reading For blind people) which allow vision impairment and blindness to hear the voice without moves his/her finger across the page or your smart device.",reading text for blind people using mobile app. reading text is part of everyone s life. reading is important for gaining knowledge and entertainment reading on just reading books but reading everything around you like bills - menus in the restaurant knowing the money numbers and time etc. etc. the world health organization who estimates 253 million people live with vision impairment 36 million are blind and 217 million have moderate to severe vision impairment. unfortunately everything is not printed in braille or audio format for the blind or visually impaired . braille includes problems such as large book size and slow reading in this context the present work focuses the development of a text to speech for help the blind to read. reading text for blind people is mobile application that allows a blind user to read text a sheet of paper a book etc. . to achieve that a set of frameworks of optical character recognition ocr and text to speech tts are integrated which enables the user using a smartphone to take a picture and hear the text that exists in the picture.. reading is a human right but at the currently not all people can access books or other reading materials as they can buy devices that help to read because it is expensive so we thought about our project text reading for blind people which allow vision impairment and blindness to hear the voice without moves his/her finger across the page or your smart device.,250,"['million people live', 'vision impairment', 'blind people', 'reading text', 'mobile app']",92.89
186,,Real-Time Accident Detection Through Surveillance Cameras,"Mohamed Zaghloul Abd Elmonem, Mohamed Eltoukhy Abd Elhaleam, Mahmoud Adel Elhamied, Mahmoud Maher Azmy Fadl",2023,Over 35 million people die in road traffic crashes each year. This project presents a system based on computer vision techniques that detects road accidents and reports them in nearly real-time. The system uses a client-server architecture with an interactive GUI to monitor accidents and notify authorities. The first version achieved 92% accuracy in crash detection at 30 fps using Python.,"The project is a comprehensive accident detection system that utilizes deep learning models to analyze video feeds from surveillance cameras. It provides real-time alerts, video storage for future analysis, and a user-friendly desktop interface for administrators to manage and control the system, aiming to reduce response times for emergency services.","Road accidents are a global issue causing millions of injuries and deaths annually. Traditional IOT-based sensor systems are costly, complex to manage, and difficult to deploy in remote areas, while existing AI attempts have suffered from insufficient accuracy.","A deep learning-based computer vision system that processes video streams to detect accidents in real-time. The solution uses the YOLO algorithm to identify crashes and provides an automated notification system to alert authorities, offering a more cost-effective and scalable alternative to sensor-based hardware.","1. Implement modern technologies and best practices.
2. Develop a scalable and maintainable solution.
3. Generate accurate analytical insights and visualizations.
4. Reduce operational complexity and improve efficiency.
5. Provide efficient data analysis and reporting features.","Real-Time Accident Detection Through Surveillance Cameras. Over 35 million people die in road traffic crashes each year. This project presents a system based on computer vision techniques that detects road accidents and reports them in nearly real-time. The system uses a client-server architecture with an interactive GUI to monitor accidents and notify authorities. The first version achieved 92% accuracy in crash detection at 30 fps using Python.. The project is a comprehensive accident detection system that utilizes deep learning models to analyze video feeds from surveillance cameras. It provides real-time alerts, video storage for future analysis, and a user-friendly desktop interface for administrators to manage and control the system, aiming to reduce response times for emergency services.",real-time accident detection through surveillance cameras. over 35 million people die in road traffic crashes each year. this project presents a system based on computer vision techniques that detects road accidents and reports them in nearly real-time. the system uses a client-server architecture with an interactive gui to monitor accidents and notify authorities. the first version achieved 92 accuracy in crash detection at 30 fps using python.. the project is a comprehensive accident detection system that utilizes deep learning models to analyze video feeds from surveillance cameras. it provides real-time alerts video storage for future analysis and a user-friendly desktop interface for administrators to manage and control the system aiming to reduce response times for emergency services.,117,"['surveillance cameras', 'road traffic crashes', 'million people die', 'accident detection', 'crashes each year']",95.71
187,,Recommender System,"Hassan Tarek Ali,
Mostafa Ahmed Samir,
Yehia Khaled Mahmoud,
Amr Wael Ibrahim,
Karim Adel Fathy",2017,Recommender system is a system that recommends the best product to a user to buy based on reviews sentiment analysis of previous users that used these products.,"This project is a mobile application designed to assist users in making informed purchasing decisions. It leverages sentiment analysis on user-generated reviews to classify them as positive or negative, thereby providing a rating or recommendation for products. The system specifically addresses the challenge of analyzing Arabic language reviews to understand user opinions and feelings.","Users struggle to make informed purchasing decisions due to the overwhelming amount of product information. Additionally, there is a specific need to analyze Arabic language reviews to extract meaningful sentiment and opinions to help users improve their standard of living.","A mobile application that performs sentiment analysis on product reviews. By classifying reviews as positive or negative, the system generates a recommendation score for products, helping users decide whether a product is good or bad based on the collective experience of previous buyers.","1. Reduce operational complexity and improve efficiency.
2. Develop a scalable and maintainable solution.
3. Support future scalability and feature expansion.
4. Improve overall productivity and workflow optimization.
5. Provide accurate and reliable functionality.
6. Generate accurate analytical insights and visualizations.
7. Improve system performance and reliability.","Recommender System. Recommender system is a system that recommends the best product to a user to buy based on reviews sentiment analysis of previous users that used these products.. This project is a mobile application designed to assist users in making informed purchasing decisions. It leverages sentiment analysis on user-generated reviews to classify them as positive or negative, thereby providing a rating or recommendation for products. The system specifically addresses the challenge of analyzing Arabic language reviews to understand user opinions and feelings.",recommender system. recommender system is a system that recommends the best product to a user to buy based on reviews sentiment analysis of previous users that used these products.. this project is a mobile application designed to assist users in making informed purchasing decisions. it leverages sentiment analysis on user-generated reviews to classify them as positive or negative thereby providing a rating or recommendation for products. the system specifically addresses the challenge of analyzing arabic language reviews to understand user opinions and feelings.,83,"['informed purchasing decisions', 'leverages sentiment analysis', 'reviews sentiment analysis', 'system specifically', 'recommender system', 'previous users', 'assist users', 'buy based']",99.39
188,,Recruitment Online,"Bassem Karem Mohamed Emarah, Ahmed Ayman Mohamed Osman, Ahmed Elsayed Riad Abdelhady Elkeay, Ahmed Ashraf Abd-elsalam Toukhy, Abdulrahman Osman Abdelhamid Osman, Mahmoud Abdelhamid Ahmed Masoad",2026,"Jobify system helps students or graduates to search for a job and apply for a job that suits their requirements. In addition to that, companies offer job opportunities that they need by entering the company's specialization and the characteristics of the required job. This is done by: - Create an account for the company (the employer) on the system, and the field of work of the company and its needs for jobs are determined, and the existence of the company is confirmed on the ground. Create an account for the employee (who is looking for a job) on the system, and his field of work is determined, and his CV is created if it does not exist. For example, when the company offers that it is looking for employees for a specific job, the company enters the characteristics of the job and the system displays the available employees in this specialty to the company, while the system also displays the job at the same time to the employees who are looking for a job in the same specialty as the offered job. In this system, we have saved a lot of effort and time from company (the employer) and employee (who is looking for a job) especially in light of the current circumstances and the spread of covid-19, which gives the system great importance in our societies. The system was built using many programming languages coding the design and create its database: - Using front-end methodologies: HTML5, CSS3, SASS, Bootstrap4, JavaScript, jQuery, ReactJS, Adobe xd. Using back-end methodologies: PHP7, MySQL.","Work is the backbone of the economy of any country and is the main source of income for members of society. At the present time, society is facing high unemployment rates despite the availability of job opportunities and the availability of job seekers. The reason for this is the difficulty of communication between employers and job seekers. Therefore, we created a system to increase communication between employers and job seekers. Through the specialization that the employee enters, the companies that advertise vacancies in the same specialty will appear to him.",Recruitment is the process of attracting screening and selecting qualified people for a Job. A typical recruitment system consists of a database of jobseekers on one side and employers using the database to fill the vacancies on the other. Recruitment agencies are always seeking to increase the number of Job seekers using their databases.,"According to the recent events of Corona and others, which led to the creation of job opportunities and the difficulty of finding them, so we created this system to help people find suitable job opportunities. Most people who are looking for suitable jobs in other sites cannot know the salary for the appropriate job for them, but on the contrary, this system through which each company, while announcing the job, puts all its information and in addition to the salary before sending the CV to the company. We made the search process easy by allowing the employee to find a job opportunity in the nearest area to him. We will develop the system by adding many features, including: We will add a feature that the system sends an alert to the employee's email. These alerts contain jobs from the same specialty that the employee recorded in his data. We will use a protection system for the system through which the system can verify the identity of the company that has posted the job. We will make a chat so that the applicant can communicate with the company. We will add the ability for each person registered in the account to be able to follow up on other people who have registered on the system.","1. Reduce operational complexity and improve efficiency.
2. Improve decision-making using artificial intelligence techniques.
3. Improve overall productivity and workflow optimization.
4. Develop a scalable and maintainable solution.
5. Improve system performance and reliability.
6. Implement modern technologies and best practices.
7. Provide accurate and reliable functionality.","Recruitment Online. Jobify system helps students or graduates to search for a job and apply for a job that suits their requirements. In addition to that, companies offer job opportunities that they need by entering the company's specialization and the characteristics of the required job. This is done by: - Create an account for the company (the employer) on the system, and the field of work of the company and its needs for jobs are determined, and the existence of the company is confirmed on the ground. Create an account for the employee (who is looking for a job) on the system, and his field of work is determined, and his CV is created if it does not exist. For example, when the company offers that it is looking for employees for a specific job, the company enters the characteristics of the job and the system displays the available employees in this specialty to the company, while the system also displays the job at the same time to the employees who are looking for a job in the same specialty as the offered job. In this system, we have saved a lot of effort and time from company (the employer) and employee (who is looking for a job) especially in light of the current circumstances and the spread of covid-19, which gives the system great importance in our societies. The system was built using many programming languages coding the design and create its database: - Using front-end methodologies: HTML5, CSS3, SASS, Bootstrap4, JavaScript, jQuery, ReactJS, Adobe xd. Using back-end methodologies: PHP7, MySQL.. Work is the backbone of the economy of any country and is the main source of income for members of society. At the present time, society is facing high unemployment rates despite the availability of job opportunities and the availability of job seekers. The reason for this is the difficulty of communication between employers and job seekers. Therefore, we created a system to increase communication between employers and job seekers. Through the specialization that the employee enters, the companies that advertise vacancies in the same specialty will appear to him.",recruitment online. jobify system helps students or graduates to search for a job and apply for a job that suits their requirements. in addition to that companies offer job opportunities that they need by entering the company s specialization and the characteristics of the required job. this is done by - create an account for the company the employer on the system and the field of work of the company and its needs for jobs are determined and the existence of the company is confirmed on the ground. create an account for the employee who is looking for a job on the system and his field of work is determined and his cv is created if it does not exist. for example when the company offers that it is looking for employees for a specific job the company enters the characteristics of the job and the system displays the available employees in this specialty to the company while the system also displays the job at the same time to the employees who are looking for a job in the same specialty as the offered job. in this system we have saved a lot of effort and time from company the employer and employee who is looking for a job especially in light of the current circumstances and the spread of covid-19 which gives the system great importance in our societies. the system was built using many programming languages coding the design and create its database - using front-end methodologies html5 css3 sass bootstrap4 javascript jquery reactjs adobe xd. using back-end methodologies php7 mysql.. work is the backbone of the economy of any country and is the main source of income for members of society. at the present time society is facing high unemployment rates despite the availability of job opportunities and the availability of job seekers. the reason for this is the difficulty of communication between employers and job seekers. therefore we created a system to increase communication between employers and job seekers. through the specialization that the employee enters the companies that advertise vacancies in the same specialty will appear to him.,353,"['offer job opportunities', 'companies offer job', 'recruitment online', 'system displays', 'company offers', 'company enters', 'jobify system', 'required job', 'job seekers']",100.0
189,,Registration for Students of Special Departments,"Ahmed Rasmy Fayez Ibrahim, Ibrahim Ramzy Saeed Manna, Ahmed Gomaa Lotfy Sakr, Mohamed Ashraf Mohamed Abd El-hakim, Mohamed Mohey Elsayed Ibrahim",2024,"Usually applying to any college is a problem facing university students, especially when the university is far from the student’s geographical area, so it is required for him to come to the college and presents papers required to enroll in it, so we wanted to help him enroll in the college; we created an electronic login portal that’s helps the student who wants to join the private departments of the faculty of computing and artificial intelligence at Benha university to log in and choose the appropriate department for him, we provide a special portal linked to the college, meet all student’s needs of the submission of questions, complaints, conditions, expenses, tests and the date of admission to the college, it also saves the college and student time and effort, our project creates opportunities rewarded between both parties to help each other.","The project is an electronic registration system for students joining special departments within the Faculty of Computing and Artificial Intelligence. It provides a web portal and a mobile application to manage the submission of student data, inquiries, complaints, and admission requirements, streamlining the enrollment process and reducing physical congestion at the college.","Students face severe congestion and difficulties when registering for special departments at the college, requiring them to travel and submit physical paperwork, which is inefficient and time-consuming.","An integrated electronic registration system consisting of a web application and an Android mobile app that allows students to register, submit required documents, and track their admission status remotely.","1. Create a mobile-friendly and accessible application.
2. Improve decision-making using artificial intelligence techniques.
3. Develop a scalable and maintainable solution.
4. Improve overall productivity and workflow optimization.
5. Develop a responsive and user-friendly web application.
6. Support future scalability and feature expansion.
7. Improve system performance and reliability.
8. Implement intelligent AI-based functionalities.","Registration for Students of Special Departments. Usually applying to any college is a problem facing university students, especially when the university is far from the student’s geographical area, so it is required for him to come to the college and presents papers required to enroll in it, so we wanted to help him enroll in the college; we created an electronic login portal that’s helps the student who wants to join the private departments of the faculty of computing and artificial intelligence at Benha university to log in and choose the appropriate department for him, we provide a special portal linked to the college, meet all student’s needs of the submission of questions, complaints, conditions, expenses, tests and the date of admission to the college, it also saves the college and student time and effort, our project creates opportunities rewarded between both parties to help each other.. The project is an electronic registration system for students joining special departments within the Faculty of Computing and Artificial Intelligence. It provides a web portal and a mobile application to manage the submission of student data, inquiries, complaints, and admission requirements, streamlining the enrollment process and reducing physical congestion at the college.",registration for students of special departments. usually applying to any college is a problem facing university students especially when the university is far from the student s geographical area so it is required for him to come to the college and presents papers required to enroll in it so we wanted to help him enroll in the college we created an electronic login portal that s helps the student who wants to join the private departments of the faculty of computing and artificial intelligence at benha university to log in and choose the appropriate department for him we provide a special portal linked to the college meet all student s needs of the submission of questions complaints conditions expenses tests and the date of admission to the college it also saves the college and student time and effort our project creates opportunities rewarded between both parties to help each other.. the project is an electronic registration system for students joining special departments within the faculty of computing and artificial intelligence. it provides a web portal and a mobile application to manage the submission of student data inquiries complaints and admission requirements streamlining the enrollment process and reducing physical congestion at the college.,202,"['electronic registration system', 'project creates opportunities', 'joining special departments', 'facing university students', 'problem facing university', 'students joining special', 'computing and artificial', 'presents papers required', 'artificial intelligence', 'electronic login portal', 'special portal linked', 'faculty of computing']",64.09
190,,Remember Me: Early diagnosis of Alzheimer's disease and a patient follow-up system,"Nora Ali Ali Mohammed, Salma Ahmed Marouf Abd-Elhameed, Azza Nasser Elsheshtawy Bahloul, Raheel Mohammed Mohammed, Engy Ebrahim Salah-Eldeen, Abd-Elwahab Mohammed Abdo",2023,"According to the WHO, around 50 million people suffer from dementia, and nearly 10 million new cases of AD are reported every year. Alzheimer's disease (AD) is the most common type of dementia, a progressive disease beginning with mild memory loss. The major problem is that it cannot be recognized except by the appearance of its symptoms, and once the symptoms appear, the disease cannot be stopped. This project aims to early diagnose the disease based on patient MRI images and create a complete system to help patients in all stages of the disease and support their families and health care providers. The project consists of 4 parts: a web application for patient follow-up, a mobile application to activate the patient's memory, an AI model for diagnosis through MRI, and a desktop application for memory testing and disease diagnosis.","Remember Me is an integrated medical informatics system designed to assist in the early diagnosis and management of Alzheimer's disease. The system utilizes AI-driven analysis of MRI scans to detect early signs of cognitive impairment and provides a multi-platform ecosystem (web, mobile, and desktop) to support patients and caregivers. It includes features for memory training, patient monitoring, and providing educational resources to families and healthcare providers.","Alzheimer's disease is a leading cause of death with no known cure, and it is difficult to diagnose in its early stages. There is a lack of public awareness, insufficient research, and a lack of comprehensive software systems that provide both diagnostic capabilities and daily support for patients and their caregivers.","The project proposes an integrated system that combines an AI model for early diagnosis using MRI scans with a multi-platform software suite. This suite includes a web application for information and follow-up, a mobile application for memory activation through puzzles and tests, and a desktop application for continuous memory monitoring and diagnosis.","1. Generate accurate analytical insights and visualizations.
2. Improve patient monitoring and healthcare management.
3. Develop a responsive and user-friendly web application.
4. Improve mobile application usability and performance.
5. Implement intelligent AI-based functionalities.
6. Optimize resource allocation and task management.
7. Implement modern technologies and best practices.","Remember Me: Early diagnosis of Alzheimer's disease and a patient follow-up system. According to the WHO, around 50 million people suffer from dementia, and nearly 10 million new cases of AD are reported every year. Alzheimer's disease (AD) is the most common type of dementia, a progressive disease beginning with mild memory loss. The major problem is that it cannot be recognized except by the appearance of its symptoms, and once the symptoms appear, the disease cannot be stopped. This project aims to early diagnose the disease based on patient MRI images and create a complete system to help patients in all stages of the disease and support their families and health care providers. The project consists of 4 parts: a web application for patient follow-up, a mobile application to activate the patient's memory, an AI model for diagnosis through MRI, and a desktop application for memory testing and disease diagnosis.. Remember Me is an integrated medical informatics system designed to assist in the early diagnosis and management of Alzheimer's disease. The system utilizes AI-driven analysis of MRI scans to detect early signs of cognitive impairment and provides a multi-platform ecosystem (web, mobile, and desktop) to support patients and caregivers. It includes features for memory training, patient monitoring, and providing educational resources to families and healthcare providers.",remember me early diagnosis of alzheimer s disease and a patient follow-up system. according to the who around 50 million people suffer from dementia and nearly 10 million new cases of ad are reported every year. alzheimer s disease ad is the most common type of dementia a progressive disease beginning with mild memory loss. the major problem is that it cannot be recognized except by the appearance of its symptoms and once the symptoms appear the disease cannot be stopped. this project aims to early diagnose the disease based on patient mri images and create a complete system to help patients in all stages of the disease and support their families and health care providers. the project consists of 4 parts a web application for patient follow-up a mobile application to activate the patient s memory an ai model for diagnosis through mri and a desktop application for memory testing and disease diagnosis.. remember me is an integrated medical informatics system designed to assist in the early diagnosis and management of alzheimer s disease. the system utilizes ai-driven analysis of mri scans to detect early signs of cognitive impairment and provides a multi-platform ecosystem web mobile and desktop to support patients and caregivers. it includes features for memory training patient monitoring and providing educational resources to families and healthcare providers.,221,"['progressive disease beginning', 'patient follow-up system', 'million people suffer', 'alzheimer s disease', 'early diagnosis']",74.31
191,,retinal lesion detection,"Hassan Fathy, Farah Mostafa, Aya Mahmoud",2023,"Eve is known as mirror of the human body. In this project, we especially interested in retina of the eye by focusing on one of its diseases which is Diabetic Retinopathy. Retina is the layer of tissue found at the very back of the eye. When light enters your eye and hits the retina, the retina will process that light information and send signals to the brain through your optic nerve enabling you to see. Without the retina, your brain won't receive any signals about what you're seeing so we consider a healthy retina as a critical health issue for a good vision. Diabetic Retinopathy (DR) is a threatening retinal disease characterized by the presence of different types of lesions in the affected area, it occurs in people suffering from diabetes for a long period of time and exhibiting mild to severe symptoms. We can describe retinal lesions as Tumors appears in many different shapes on the eye. Detecting DR is a time-consuming and manual process involves right classification of lesions into their appropriate classes that can be an error-prone process, also limited number of eye care practitioners who are trained in interpreting retinal images and evaluate fundus photographs constitute a barrier to DR detection. To address these challenges, this project focuses on developing an automated DR detection system. The automated DR detection methods will speed up the detection and decision-making process and assist doctors diagnose and manage DR detection process. This project presents","The Science Verse application is a VR (Virtual Realty)/AR (Augmented Realty)-based platform designed to revolutionize Science education by providing a safe, accessible, and interactive virtual lab experience. Users can practice experiments in training mode with guided instructions, additionally users can host and supervise experiment sessions, while other users can join using secure IDs in future updates. The app allows users to visualize and interact with chemical processes in a realistic VR/AR environment, fostering engagement, enhancing understanding, and ensuring safety without the need for physical lab equipment or exposure to hazardous materials. 2 Problem Definition: Traditional Science labs often face several challenges that limit accessi bility, safety, and learning efficiency. Many students lack access to well-equipped labs, particularly in schools with limited resources, restricting hands-on experience. Even in equipped labs, safety concerns, such as exposure to hazardous chemicals and the risk of accidents, hinder experimentation. Additionally, students often struggle to understand complex chemical reactions and procedures due to insufficient guidance during practical sessions. These issues result in a learning gap and reduced engagement with the subject matter. 2 | Page","The absence of a dedicated digital system for retinal lesion detection reduces the efficiency and accuracy of diagnosing retinal diseases and abnormalities. Traditional manual approaches are often time-consuming, prone to human error, and unable to provide fast and reliable analysis, making it difficult to track patient conditions, manage diagnostic data, and access accurate medical insights efficiently.","Eve is known as mirror of the human body. In this project, we especially interested in retina of the eye by focusing on one of its diseases which is Diabetic Retinopathy.","1. Improve decision-making using artificial intelligence techniques.
2. Implement intelligent AI-based functionalities.
3. Reduce operational complexity and improve efficiency.
4. Improve system performance and reliability.
5. Enhance user experience and usability.","retinal lesion detection. Eve is known as mirror of the human body. In this project, we especially interested in retina of the eye by focusing on one of its diseases which is Diabetic Retinopathy. Retina is the layer of tissue found at the very back of the eye. When light enters your eye and hits the retina, the retina will process that light information and send signals to the brain through your optic nerve enabling you to see. Without the retina, your brain won't receive any signals about what you're seeing so we consider a healthy retina as a critical health issue for a good vision. Diabetic Retinopathy (DR) is a threatening retinal disease characterized by the presence of different types of lesions in the affected area, it occurs in people suffering from diabetes for a long period of time and exhibiting mild to severe symptoms. We can describe retinal lesions as Tumors appears in many different shapes on the eye. Detecting DR is a time-consuming and manual process involves right classification of lesions into their appropriate classes that can be an error-prone process, also limited number of eye care practitioners who are trained in interpreting retinal images and evaluate fundus photographs constitute a barrier to DR detection. To address these challenges, this project focuses on developing an automated DR detection system. The automated DR detection methods will speed up the detection and decision-making process and assist doctors diagnose and manage DR detection process. This project presents. The Science Verse application is a VR (Virtual Realty)/AR (Augmented Realty)-based platform designed to revolutionize Science education by providing a safe, accessible, and interactive virtual lab experience. Users can practice experiments in training mode with guided instructions, additionally users can host and supervise experiment sessions, while other users can join using secure IDs in future updates. The app allows users to visualize and interact with chemical processes in a realistic VR/AR environment, fostering engagement, enhancing understanding, and ensuring safety without the need for physical lab equipment or exposure to hazardous materials. 2 Problem Definition: Traditional Science labs often face several challenges that limit accessi bility, safety, and learning efficiency. Many students lack access to well-equipped labs, particularly in schools with limited resources, restricting hands-on experience. Even in equipped labs, safety concerns, such as exposure to hazardous chemicals and the risk of accidents, hinder experimentation. Additionally, students often struggle to understand complex chemical reactions and procedures due to insufficient guidance during practical sessions. These issues result in a learning gap and reduced engagement with the subject matter. 2 | Page",retinal lesion detection. eve is known as mirror of the human body. in this project we especially interested in retina of the eye by focusing on one of its diseases which is diabetic retinopathy. retina is the layer of tissue found at the very back of the eye. when light enters your eye and hits the retina the retina will process that light information and send signals to the brain through your optic nerve enabling you to see. without the retina your brain won t receive any signals about what you re seeing so we consider a healthy retina as a critical health issue for a good vision. diabetic retinopathy dr is a threatening retinal disease characterized by the presence of different types of lesions in the affected area it occurs in people suffering from diabetes for a long period of time and exhibiting mild to severe symptoms. we can describe retinal lesions as tumors appears in many different shapes on the eye. detecting dr is a time-consuming and manual process involves right classification of lesions into their appropriate classes that can be an error-prone process also limited number of eye care practitioners who are trained in interpreting retinal images and evaluate fundus photographs constitute a barrier to dr detection. to address these challenges this project focuses on developing an automated dr detection system. the automated dr detection methods will speed up the detection and decision-making process and assist doctors diagnose and manage dr detection process. this project presents. the science verse application is a vr virtual realty /ar augmented realty -based platform designed to revolutionize science education by providing a safe accessible and interactive virtual lab experience. users can practice experiments in training mode with guided instructions additionally users can host and supervise experiment sessions while other users can join using secure ids in future updates. the app allows users to visualize and interact with chemical processes in a realistic vr/ar environment fostering engagement enhancing understanding and ensuring safety without the need for physical lab equipment or exposure to hazardous materials. 2 problem definition traditional science labs often face several challenges that limit accessi bility safety and learning efficiency. many students lack access to well-equipped labs particularly in schools with limited resources restricting hands-on experience. even in equipped labs safety concerns such as exposure to hazardous chemicals and the risk of accidents hinder experimentation. additionally students often struggle to understand complex chemical reactions and procedures due to insufficient guidance during practical sessions. these issues result in a learning gap and reduced engagement with the subject matter. 2 page,429,"['retinal lesion detection', 'automated dr detection', 'diabetic retinopathy', 'detection process', 'retinal lesions', 'human body']",98.65
192,,Road Surface Quality Detection Using Accelerometer Data,"Mahmoud Ahmed Hosni Mousa, Mahmoud El-Sayed Soliman Ali, Mohamed Yehia Mohamed Mohamed, Mohamed Mashhour Sayed Ahmed, Mohamed Mohamed Mohamed El-kholy",2018,"In today's days, due to increase in number of vehicles the probability of accidents is also increasing. The user should be aware of the road circumstances for safety purpose. Several methods require installing dedicated hardware in vehicle which are expensive. So, we have designed a Smart-phone based method which uses a Accelerometer and GPS sensors to analyze the road conditions. The designed system is called as Bumps Detection System (BDS) which uses Accelerometer for pothole detection and GPS for plotting the location of potholes on Google Map. Drivers will be informed in advance about count of potholes on road. we have assumed some threshold values on z-axis (Experimentally Derived) while designing the system. To justify these threshold values, we have used a machine learning approach.","This project presents a mobile-based application that utilizes smartphone sensors, specifically the accelerometer and GPS, to monitor and analyze road surface quality. By measuring vertical vibrations, the system identifies bumps and potholes, logs their geographic coordinates, and provides drivers with real-time or pre-trip information about road conditions to improve safety and navigation.","Egypt faces high rates of road traffic accidents, with poor road conditions, including numerous bumps and potholes, being a significant contributing factor. Existing solutions for monitoring road quality often require expensive, dedicated hardware that is not accessible to the average driver.","The project proposes a smartphone-based application (BDS) that leverages built-in accelerometer and GPS sensors to detect road irregularities. The system collects vibration data, processes it using experimentally derived thresholds, and employs machine learning algorithms (K-means clustering and Random Forest) to classify road conditions and map them via the Google Maps API.","1. Enhance user experience and usability.
2. Train and optimize machine learning algorithms.
3. Improve overall productivity and workflow optimization.
4. Improve system performance and reliability.
5. Improve mobile application usability and performance.","Road Surface Quality Detection Using Accelerometer Data. In today's days, due to increase in number of vehicles the probability of accidents is also increasing. The user should be aware of the road circumstances for safety purpose. Several methods require installing dedicated hardware in vehicle which are expensive. So, we have designed a Smart-phone based method which uses a Accelerometer and GPS sensors to analyze the road conditions. The designed system is called as Bumps Detection System (BDS) which uses Accelerometer for pothole detection and GPS for plotting the location of potholes on Google Map. Drivers will be informed in advance about count of potholes on road. we have assumed some threshold values on z-axis (Experimentally Derived) while designing the system. To justify these threshold values, we have used a machine learning approach.. This project presents a mobile-based application that utilizes smartphone sensors, specifically the accelerometer and GPS, to monitor and analyze road surface quality. By measuring vertical vibrations, the system identifies bumps and potholes, logs their geographic coordinates, and provides drivers with real-time or pre-trip information about road conditions to improve safety and navigation.",road surface quality detection using accelerometer data. in today s days due to increase in number of vehicles the probability of accidents is also increasing. the user should be aware of the road circumstances for safety purpose. several methods require installing dedicated hardware in vehicle which are expensive. so we have designed a smart-phone based method which uses a accelerometer and gps sensors to analyze the road conditions. the designed system is called as bumps detection system bds which uses accelerometer for pothole detection and gps for plotting the location of potholes on google map. drivers will be informed in advance about count of potholes on road. we have assumed some threshold values on z-axis experimentally derived while designing the system. to justify these threshold values we have used a machine learning approach.. this project presents a mobile-based application that utilizes smartphone sensors specifically the accelerometer and gps to monitor and analyze road surface quality. by measuring vertical vibrations the system identifies bumps and potholes logs their geographic coordinates and provides drivers with real-time or pre-trip information about road conditions to improve safety and navigation.,185,"['surface quality detection', 'road surface quality', 'accelerometer data', 'road conditions', 'today s days', 'days due']",100.0
193,,Safety Information System for detecting and Observing Natural Environment Using Quad Copter,"Amr Fathy Abdel Khalek Zayed, Ebtsam Magdy Mohammed Ali, Asmaa Gamal Abdel halim Abu Elazm, Lamiaa Gamal Elsayed Amin, Doha Mahfouz Abdel baset Alqasas, Shaimaa Esmail Hussein Salam",2017,"The main objectives of this project are to solve these problems: The difficulty of reach to target destination in time with ambulance in crowded roads to rescue the patients, The police takes hours to discover the reason of crowded roads without taking action to remove the obstacles in cites, In addition to the previous two problems, in natural environment victims facing death before ambulance reach to them in order to take their first aid before being transferred to the hospital. While scientists in the forest and desert in danger next to animal or hard nature with their equipment. After Definition of Our problems we put: 1- Build a Quad-copter that can be used for solve the problem of The difficulty of reach to target destination in time with ambulance in crowded roads to rescue the patients to improve health care and improve safety for scientists in the forest and desert in danger next to animal or hard nature with their equipment. 2- Developing Mobile application (android app) that full controls remotely on the copter using IoT (Internet of Things). 3- Use Copter for delivering medical aids to the location of patients. 4- Traffic monitor and Driver advice by Suggestions of other alternatives un crowded roads. 5- Detecting and observation of nature for more safety to scientist.","The project, titled 'Discopter', is a safety information system that utilizes a quad-copter to address challenges in emergency medical response, traffic management, and environmental exploration. By integrating a mobile application with IoT-enabled hardware, the system allows for remote control of the drone to deliver medical aid, monitor traffic conditions, and provide safety surveillance for scientists in hazardous environments.","The project addresses three main issues: the inability of ambulances to reach patients quickly due to traffic congestion, the lack of real-time data for police to manage traffic obstacles, and the safety risks faced by scientists and explorers in dangerous natural environments.","The proposed solution is an IoT-based quad-copter system controlled via an Android application. The system uses a Pixhawk flight controller and Raspberry Pi to enable remote navigation, medical aid delivery, traffic monitoring, and environmental observation, providing real-time data to a web-based dashboard.","1. Enable real-time monitoring using connected devices.
2. Integrate IoT technologies for smart automation.
3. Improve overall productivity and workflow optimization.
4. Optimize resource allocation and task management.
5. Create a mobile-friendly and accessible application.","Safety Information System for detecting and Observing Natural Environment Using Quad Copter. The main objectives of this project are to solve these problems: The difficulty of reach to target destination in time with ambulance in crowded roads to rescue the patients, The police takes hours to discover the reason of crowded roads without taking action to remove the obstacles in cites, In addition to the previous two problems, in natural environment victims facing death before ambulance reach to them in order to take their first aid before being transferred to the hospital. While scientists in the forest and desert in danger next to animal or hard nature with their equipment. After Definition of Our problems we put: 1- Build a Quad-copter that can be used for solve the problem of The difficulty of reach to target destination in time with ambulance in crowded roads to rescue the patients to improve health care and improve safety for scientists in the forest and desert in danger next to animal or hard nature with their equipment. 2- Developing Mobile application (android app) that full controls remotely on the copter using IoT (Internet of Things). 3- Use Copter for delivering medical aids to the location of patients. 4- Traffic monitor and Driver advice by Suggestions of other alternatives un crowded roads. 5- Detecting and observation of nature for more safety to scientist.. The project, titled 'Discopter', is a safety information system that utilizes a quad-copter to address challenges in emergency medical response, traffic management, and environmental exploration. By integrating a mobile application with IoT-enabled hardware, the system allows for remote control of the drone to deliver medical aid, monitor traffic conditions, and provide safety surveillance for scientists in hazardous environments.",safety information system for detecting and observing natural environment using quad copter. the main objectives of this project are to solve these problems the difficulty of reach to target destination in time with ambulance in crowded roads to rescue the patients the police takes hours to discover the reason of crowded roads without taking action to remove the obstacles in cites in addition to the previous two problems in natural environment victims facing death before ambulance reach to them in order to take their first aid before being transferred to the hospital. while scientists in the forest and desert in danger next to animal or hard nature with their equipment. after definition of our problems we put 1- build a quad-copter that can be used for solve the problem of the difficulty of reach to target destination in time with ambulance in crowded roads to rescue the patients to improve health care and improve safety for scientists in the forest and desert in danger next to animal or hard nature with their equipment. 2- developing mobile application android app that full controls remotely on the copter using iot internet of things . 3- use copter for delivering medical aids to the location of patients. 4- traffic monitor and driver advice by suggestions of other alternatives un crowded roads. 5- detecting and observation of nature for more safety to scientist.. the project titled discopter is a safety information system that utilizes a quad-copter to address challenges in emergency medical response traffic management and environmental exploration. by integrating a mobile application with iot-enabled hardware the system allows for remote control of the drone to deliver medical aid monitor traffic conditions and provide safety surveillance for scientists in hazardous environments.,287,"['observing natural environment', 'natural environment victims', 'environment victims facing', 'safety information system', 'detecting and observing', 'destination in time', 'target destination', 'forest and desert', 'desert in danger', 'reach to target', 'animal or hard', 'crowded roads', 'quad copter', 'hard nature']",72.05
194,,Science Lab using VR and AR (ScienceVerse),"Mahmoud Hamdy, Habiba Hassan",2025,"Many educational institutions face significant challenges in providing safe, modern, and fully equipped chemistry laboratories due to high operational costs, maintece requirements, space limitations, and safety concerns. These barriers often hinder students' opportunities to perform practical experiments, which are essential for understanding scientific concepts deeply and developing critical thin king skills. Moreover, schools in remote or low-resource areas are often the most affected, creating inequality in access to quality science education. To address these limitations, our graduation project introduces ScienceVerse, a virtual chemistry lab that leverages Augmented Reality (AR) and Virtual Reality (VR) technologies to simulate real- world laboratory experiences in an immersive, interactive, and safe digital environment. The system enables students to browse and select experiments, review the required tools and step-by-step procedures, and perform them using AR on mobile devices or through full immersion using VR headsets. It also allows students to rate experiments and track their performance. The platform provides both free and premium experiments, making it suitable for wide educational use while maintaining flexibility in access and features. ScienceVerse is developed using Unity 3D for creating realistic AR/VR environments, Flutter for building a cross-platform mobile application, and .NET Core with SsQL Server for backend services and secure data management. The sy","1 Project Description: The Science Verse application is a VR (Virtual Realty)/AR (Augmented Realty)-based platform designed to revolutionize Science education by providing a safe, accessible, and interactive virtual lab experience. Users can practice experiments in training mode with guided instructions, additionally users can host and supervise experiment sessions, while other users can join using secure IDs in future updates. The app allows users to visualize and interact with chemical processes in a realistic VR/AR environment, fostering engagement, enhancing understanding, and ensuring safety without the need for physical lab equipment or exposure to hazardous materials. 2 Problem Definition: Traditional Science labs often face several challenges that limit accessi bility, safety, and learning efficiency. Many students lack access to well-equipped labs, particularly in schools with limited resources, restricting hands-on experience. Even in equipped labs, safety concerns, such as exposure to hazardous chemicals and the risk of accidents, hinder experimentation. Additionally, students often struggle to understand complex chemical reactions and procedures due to insufficient guidance during practical sessions. These issues result in a learning gap and reduced engagement with the subject matter. 2 | Page","The lack of an integrated digital system reduces the efficiency of managing operations and organizing data effectively. In addition, users often face difficulties accessing services and obtaining relevant information in a timely manner, leading to delays, poor coordination, and reduced overall productivity.","Many educational institutions face significant challenges in providing safe, modern, and fully equipped chemistry laboratories due to high operational costs, maintece requirements, space limitations, and safety concerns. These barriers often hinder students' opportunities to perform practical experiments, which are essential for understanding scientific concepts deeply and developing critical thin","1. Optimize resource allocation and task management.
2. Provide accurate and reliable functionality.
3. Improve decision-making using artificial intelligence techniques.
4. Improve mobile application usability and performance.
5. Enhance user experience and usability.
6. Implement intelligent AI-based functionalities.","Science Lab using VR and AR (ScienceVerse). Many educational institutions face significant challenges in providing safe, modern, and fully equipped chemistry laboratories due to high operational costs, maintece requirements, space limitations, and safety concerns. These barriers often hinder students' opportunities to perform practical experiments, which are essential for understanding scientific concepts deeply and developing critical thin king skills. Moreover, schools in remote or low-resource areas are often the most affected, creating inequality in access to quality science education. To address these limitations, our graduation project introduces ScienceVerse, a virtual chemistry lab that leverages Augmented Reality (AR) and Virtual Reality (VR) technologies to simulate real- world laboratory experiences in an immersive, interactive, and safe digital environment. The system enables students to browse and select experiments, review the required tools and step-by-step procedures, and perform them using AR on mobile devices or through full immersion using VR headsets. It also allows students to rate experiments and track their performance. The platform provides both free and premium experiments, making it suitable for wide educational use while maintaining flexibility in access and features. ScienceVerse is developed using Unity 3D for creating realistic AR/VR environments, Flutter for building a cross-platform mobile application, and .NET Core with SsQL Server for backend services and secure data management. The sy. 1 Project Description: The Science Verse application is a VR (Virtual Realty)/AR (Augmented Realty)-based platform designed to revolutionize Science education by providing a safe, accessible, and interactive virtual lab experience. Users can practice experiments in training mode with guided instructions, additionally users can host and supervise experiment sessions, while other users can join using secure IDs in future updates. The app allows users to visualize and interact with chemical processes in a realistic VR/AR environment, fostering engagement, enhancing understanding, and ensuring safety without the need for physical lab equipment or exposure to hazardous materials. 2 Problem Definition: Traditional Science labs often face several challenges that limit accessi bility, safety, and learning efficiency. Many students lack access to well-equipped labs, particularly in schools with limited resources, restricting hands-on experience. Even in equipped labs, safety concerns, such as exposure to hazardous chemicals and the risk of accidents, hinder experimentation. Additionally, students often struggle to understand complex chemical reactions and procedures due to insufficient guidance during practical sessions. These issues result in a learning gap and reduced engagement with the subject matter. 2 | Page",science lab using vr and ar scienceverse . many educational institutions face significant challenges in providing safe modern and fully equipped chemistry laboratories due to high operational costs maintece requirements space limitations and safety concerns. these barriers often hinder students opportunities to perform practical experiments which are essential for understanding scientific concepts deeply and developing critical thin king skills. moreover schools in remote or low-resource areas are often the most affected creating inequality in access to quality science education. to address these limitations our graduation project introduces scienceverse a virtual chemistry lab that leverages augmented reality ar and virtual reality vr technologies to simulate real- world laboratory experiences in an immersive interactive and safe digital environment. the system enables students to browse and select experiments review the required tools and step-by-step procedures and perform them using ar on mobile devices or through full immersion using vr headsets. it also allows students to rate experiments and track their performance. the platform provides both free and premium experiments making it suitable for wide educational use while maintaining flexibility in access and features. scienceverse is developed using unity 3d for creating realistic ar/vr environments flutter for building a cross-platform mobile application and .net core with ssql server for backend services and secure data management. the sy. 1 project description the science verse application is a vr virtual realty /ar augmented realty -based platform designed to revolutionize science education by providing a safe accessible and interactive virtual lab experience. users can practice experiments in training mode with guided instructions additionally users can host and supervise experiment sessions while other users can join using secure ids in future updates. the app allows users to visualize and interact with chemical processes in a realistic vr/ar environment fostering engagement enhancing understanding and ensuring safety without the need for physical lab equipment or exposure to hazardous materials. 2 problem definition traditional science labs often face several challenges that limit accessi bility safety and learning efficiency. many students lack access to well-equipped labs particularly in schools with limited resources restricting hands-on experience. even in equipped labs safety concerns such as exposure to hazardous chemicals and the risk of accidents hinder experimentation. additionally students often struggle to understand complex chemical reactions and procedures due to insufficient guidance during practical sessions. these issues result in a learning gap and reduced engagement with the subject matter. 2 page,396,"['equipped chemistry laboratories', 'requirements space limitations', 'institutions face significant', 'educational institutions face', 'costs maintece requirements', 'maintece requirements space', 'operational costs maintece', 'chemistry laboratories due', 'fully equipped chemistry', 'high operational costs', 'providing safe modern', 'modern and fully']",100.0
195,,Security Assistant and Guide Robot,"Ibrahim Ahmed Ibrahim Ibrahim, Ahmed Hussien Mohamed Mohamed, Ahmed Mohamed Elsayed Abdelaziz, Ahmed Mahmoud Abo Elfotouh Ragab, Abo Bakr Abdel Razek Attia, Mayada Salama Khalil",2022,"Security Assistant and Guide Robot (SAGR) is an automated machine designed to assist security personnel and guide students/visitors within a college campus. In response to health and safety concerns, the system identifies registered individuals (students, faculty, employees) and alerts security to unregistered persons. Additionally, it provides navigation assistance to various campus locations, reducing congestion and improving building security.","The project involves a robotic system equipped with a Raspberry Pi and a touchscreen interface. It utilizes facial recognition technology to verify the identity of people entering the college premises. If an individual is not recognized, the system triggers an alarm for security personnel. Furthermore, the robot acts as a guide, displaying interactive video paths to help visitors and students locate offices, labs, and other facilities.","The college faces challenges with overcrowding at entrances, unauthorized access, and difficulty for visitors and new students in navigating the campus to find specific offices, laboratories, and halls.",A mobile robotic assistant (SAGR) that integrates facial recognition for automated access control and a GUI-based navigation system to provide visual directions to campus destinations.,"1. Provide accurate and reliable functionality.
2. Enhance healthcare efficiency and accessibility.
3. Support future scalability and feature expansion.
4. Improve system performance and reliability.
5. Enhance system security and protect sensitive user data.
6. Implement secure authentication and authorization mechanisms.","Security Assistant and Guide Robot. Security Assistant and Guide Robot (SAGR) is an automated machine designed to assist security personnel and guide students/visitors within a college campus. In response to health and safety concerns, the system identifies registered individuals (students, faculty, employees) and alerts security to unregistered persons. Additionally, it provides navigation assistance to various campus locations, reducing congestion and improving building security.. The project involves a robotic system equipped with a Raspberry Pi and a touchscreen interface. It utilizes facial recognition technology to verify the identity of people entering the college premises. If an individual is not recognized, the system triggers an alarm for security personnel. Furthermore, the robot acts as a guide, displaying interactive video paths to help visitors and students locate offices, labs, and other facilities.",security assistant and guide robot. security assistant and guide robot sagr is an automated machine designed to assist security personnel and guide students/visitors within a college campus. in response to health and safety concerns the system identifies registered individuals students faculty employees and alerts security to unregistered persons. additionally it provides navigation assistance to various campus locations reducing congestion and improving building security.. the project involves a robotic system equipped with a raspberry pi and a touchscreen interface. it utilizes facial recognition technology to verify the identity of people entering the college premises. if an individual is not recognized the system triggers an alarm for security personnel. furthermore the robot acts as a guide displaying interactive video paths to help visitors and students locate offices labs and other facilities.,129,"['registered individuals students', 'automated machine designed', 'assist security personnel', 'assistant and guide', 'security assistant', 'guide robot sagr', 'guide displaying', 'alerts security', 'guide students']",99.94
196,,Semantic-Based Text Similarity,Shimaa Ismail Mohamed Mostafa,2022,This thesis focuses on measuring semantic textual similarity between two Arabic texts. It presents two hybrid approaches: the first combines vector space-based and alignment-based methods using FastText embeddings and lemmatization to enrich search space. The second approach uses an extended Levenshtein algorithm at the token level with semantic weights and permutation techniques to handle word order and negation. Experimental results on SemEval 2017 datasets demonstrate that these methods achieve higher Pearson Correlation Coefficients compared to existing state-of-the-art systems.,"A doctoral dissertation exploring advanced methodologies for calculating semantic similarity in the Arabic language. The project addresses challenges such as morphological inflection, lack of linguistic resources, and the impact of word order and negation on semantic meaning. It introduces novel alignment techniques and lemmatization-based vector models to improve accuracy in information retrieval and NLP tasks.","Measuring semantic similarity in Arabic is challenging due to morphological complexity, orthographic ambiguity caused by optional diacritics, and the lack of free, high-quality linguistic resources. Existing lexical-based approaches often fail to capture semantic nuances, and current semantic models for Arabic underperform compared to their English counterparts.","The research proposes two hybrid approaches: 1) An alignment-based technique using a semantic word space matrix and FastText embeddings to map words to vectors, and 2) An extended Levenshtein algorithm operating at the token level with custom edit costs and permutation-based word ordering to mitigate the impact of sentence structure and negation.","1. Develop a scalable and maintainable solution.
2. Provide accurate and reliable functionality.
3. Reduce operational complexity and improve efficiency.
4. Implement modern technologies and best practices.
5. Support future scalability and feature expansion.
6. Enhance user experience and usability.","Semantic-Based Text Similarity. This thesis focuses on measuring semantic textual similarity between two Arabic texts. It presents two hybrid approaches: the first combines vector space-based and alignment-based methods using FastText embeddings and lemmatization to enrich search space. The second approach uses an extended Levenshtein algorithm at the token level with semantic weights and permutation techniques to handle word order and negation. Experimental results on SemEval 2017 datasets demonstrate that these methods achieve higher Pearson Correlation Coefficients compared to existing state-of-the-art systems.. A doctoral dissertation exploring advanced methodologies for calculating semantic similarity in the Arabic language. The project addresses challenges such as morphological inflection, lack of linguistic resources, and the impact of word order and negation on semantic meaning. It introduces novel alignment techniques and lemmatization-based vector models to improve accuracy in information retrieval and NLP tasks.",semantic-based text similarity. this thesis focuses on measuring semantic textual similarity between two arabic texts. it presents two hybrid approaches the first combines vector space-based and alignment-based methods using fasttext embeddings and lemmatization to enrich search space. the second approach uses an extended levenshtein algorithm at the token level with semantic weights and permutation techniques to handle word order and negation. experimental results on semeval 2017 datasets demonstrate that these methods achieve higher pearson correlation coefficients compared to existing state-of-the-art systems.. a doctoral dissertation exploring advanced methodologies for calculating semantic similarity in the arabic language. the project addresses challenges such as morphological inflection lack of linguistic resources and the impact of word order and negation on semantic meaning. it introduces novel alignment techniques and lemmatization-based vector models to improve accuracy in information retrieval and nlp tasks.,136,"['calculating semantic similarity', 'semantic-based text similarity', 'semantic textual similarity', 'measuring semantic textual', 'focuses on measuring', 'enrich search space', 'order and negation', 'handle word order', 'thesis focuses', 'arabic texts']",100.0
197,,Shelter's system,"Ranem Mohamed Ibrahim Eldesoky, Sama Mohamed Ibrahim Eldesoky, Mennatallah Salem Mohamed, Nada Gaber Elsayed, Youmna Wael Bahaa Eldeen",2024,"Our mobile application and website provide comprehensive support for three types of shelters: orphans, the elderly, and animals. To access the app, users need to create an account. Once logged in, users have access to a variety of valuable services designed to support the shelters. Users can search for individuals by uploading a photograph, with the app using face recognition to identify matches in our database. Additionally, users can adopt a person or an animal by submitting an adoption request for admin review, and make secure donations to shelters. Our goal is to use technology to make a positive impact on the lives of those in need, providing a seamless and secure experience for all users.","The Shelter's System is a dual-platform solution (mobile and web) designed to bridge the gap between shelters (for orphans, the elderly, and animals) and the community. It facilitates centralized data management for shelters, streamlines the adoption and donation processes, and provides a critical tool for locating missing persons through advanced image retrieval and face recognition technology.","Shelters struggle with organizing and managing resident data effectively, lack centralized systems for updates, and face difficulties in communicating with external stakeholders. Furthermore, there is a lack of visibility for those seeking to support shelters, inefficient donation management, and a need for faster, more effective methods for finding missing persons.","The project proposes a centralized web and mobile platform that provides secure data management, location-based services to find nearby shelters, a streamlined adoption and donation portal, and an advanced image retrieval system for identifying missing persons by cross-referencing uploaded photos with a database of shelter residents.","1. Optimize resource allocation and task management.
2. Develop a scalable and maintainable solution.
3. Improve accessibility across different devices and platforms.
4. Implement modern technologies and best practices.
5. Provide accurate and reliable functionality.
6. Reduce operational complexity and improve efficiency.
7. Improve workflow and management efficiency.
8. Enhance user experience and usability.","Shelter's system. Our mobile application and website provide comprehensive support for three types of shelters: orphans, the elderly, and animals. To access the app, users need to create an account. Once logged in, users have access to a variety of valuable services designed to support the shelters. Users can search for individuals by uploading a photograph, with the app using face recognition to identify matches in our database. Additionally, users can adopt a person or an animal by submitting an adoption request for admin review, and make secure donations to shelters. Our goal is to use technology to make a positive impact on the lives of those in need, providing a seamless and secure experience for all users.. The Shelter's System is a dual-platform solution (mobile and web) designed to bridge the gap between shelters (for orphans, the elderly, and animals) and the community. It facilitates centralized data management for shelters, streamlines the adoption and donation processes, and provides a critical tool for locating missing persons through advanced image retrieval and face recognition technology.",shelter s system. our mobile application and website provide comprehensive support for three types of shelters orphans the elderly and animals. to access the app users need to create an account. once logged in users have access to a variety of valuable services designed to support the shelters. users can search for individuals by uploading a photograph with the app using face recognition to identify matches in our database. additionally users can adopt a person or an animal by submitting an adoption request for admin review and make secure donations to shelters. our goal is to use technology to make a positive impact on the lives of those in need providing a seamless and secure experience for all users.. the shelter s system is a dual-platform solution mobile and web designed to bridge the gap between shelters for orphans the elderly and animals and the community. it facilitates centralized data management for shelters streamlines the adoption and donation processes and provides a critical tool for locating missing persons through advanced image retrieval and face recognition technology.,176,"['provide comprehensive support', 'website provide comprehensive', 'application and website', 'orphans the elderly', 'elderly and animals', 'face recognition', 'app users']",100.0
198,,Shopping Management System,"Ahmed Abdelnaby Elshreef, Ahmed Mohamed Esmail, Ahmed Yahia Elsayed Mohamed, Ahmed Mohamed Ibrahim, Ahmed Abdelraouf Alsharkawey, Ahmed Abdulstaar Mandour",2018,"This project presents a comprehensive Shopping Management System designed to enhance the online retail experience by addressing common limitations in existing e-commerce platforms. By implementing an interactive, user-friendly interface with advanced search filtering, real-time product feedback, and a drag-and-drop shopping cart, the system aims to increase user trust and efficiency. The platform facilitates a seamless shopping journey, allowing users to search, evaluate, and purchase products securely while providing features like public chat and product reservation to bridge the gap between traditional and digital commerce.","The main idea of our project is to make a Shopping management website to deliver products or to displays products. That encourage people to use the website to save time and cost to buy, search for this product and that used to give user ability to view product before buying product, give user ability know more information about products you want to buy, give user ability to select more product at same time, give user ability to buy throw website, give user ability to search about any product, give user ability to buy by credit or debit card.","The basic problem with the existing systems are the non-interactive environment they provide to user. The user may have fear of buying and sending money online. The customer may afraid of buying Poor quality product. The customer may don't find the product he is looking for. The customer may want to save products he liked but doesn't have money to buy them. A search engine that would display the result without allowing the user to further filter the result based on various parameters. The use of traditional user interface which make continuous post bakes to server, each post makes a call to the server, gets the response and the refresh the entire web form to display the result. this scenario adds an extra trade off causing a delay in displaying the result. Collecting chosen products in cart. Use of traditional and non-user-friendly interface that is hard to use","The motility of this online shopping website is allowing the user to play with search tool and create different combinatorial search criterion to perform exhaustive search. User can reserve the desired product until buying with tradition way without Resorting to buying online. User have the ability to see the rate of the products, read comments before buying products. User can ask for any needed question in the public chat. provide interactive interface through which a user can interact with different area of website easily. A search engine that provide the facility to search easily and convenient way to search for products specific to their needs. The search engine would list a set of products based on search term and the user can further filter list based on various parameter. Provide drag and drop feature thereby allowing the user to add products to or remove products from the shopping cart by dragging the product in to or out the shopping cart.","1. Implement intelligent AI-based functionalities.
2. Improve overall productivity and workflow optimization.
3. Provide accurate and reliable functionality.
4. Develop a scalable and maintainable solution.
5. Improve decision-making using artificial intelligence techniques.
6. Improve accessibility across different devices and platforms.
7. Implement modern technologies and best practices.
8. Support future scalability and feature expansion.","Shopping Management System. This project presents a comprehensive Shopping Management System designed to enhance the online retail experience by addressing common limitations in existing e-commerce platforms. By implementing an interactive, user-friendly interface with advanced search filtering, real-time product feedback, and a drag-and-drop shopping cart, the system aims to increase user trust and efficiency. The platform facilitates a seamless shopping journey, allowing users to search, evaluate, and purchase products securely while providing features like public chat and product reservation to bridge the gap between traditional and digital commerce.. The main idea of our project is to make a Shopping management website to deliver products or to displays products. That encourage people to use the website to save time and cost to buy, search for this product and that used to give user ability to view product before buying product, give user ability know more information about products you want to buy, give user ability to select more product at same time, give user ability to buy throw website, give user ability to search about any product, give user ability to buy by credit or debit card.",shopping management system. this project presents a comprehensive shopping management system designed to enhance the online retail experience by addressing common limitations in existing e-commerce platforms. by implementing an interactive user-friendly interface with advanced search filtering real-time product feedback and a drag-and-drop shopping cart the system aims to increase user trust and efficiency. the platform facilitates a seamless shopping journey allowing users to search evaluate and purchase products securely while providing features like public chat and product reservation to bridge the gap between traditional and digital commerce.. the main idea of our project is to make a shopping management website to deliver products or to displays products. that encourage people to use the website to save time and cost to buy search for this product and that used to give user ability to view product before buying product give user ability know more information about products you want to buy give user ability to select more product at same time give user ability to buy throw website give user ability to search about any product give user ability to buy by credit or debit card.,185,"['comprehensive shopping management', 'shopping management website', 'management system designed', 'increase user trust', 'give user ability', 'product give user', 'website give user', 'time give user', 'buy give user']",94.56
199,,Sign Language Translator,"Belal Elsayed Mohamed Elwikel, Ahmed Mohamed Abd Elsatar, Alhasan Gamal Mahmoud Soliman, Basma Mohamed Shaaban, Radwa Ayman Ahmed, Nermeen Samy Kamal",2020,"This project is an application to facilitate the communication between deaf, dumb people and other people. The first part we translate the fixed images (taken or uploaded from the device) letters, numbers or simple words in sign language into corresponding to it in English, the second part is a literal translation of sentences English language and translated into sign language and vice versa, The third part to translate words, letters and numbers in English and are converted into sign language by character 3D (represents the movements of sign language).","This project presents an intelligent web-based healthcare platform designed to improve the early detection and treatment of skin diseases using artificial intelligence and machine learning technologies. The system enables users to upload images of affected skin areas, which are analyzed using advanced image processing and AI-driven diagnostic models to identify potential skin conditions accurately and efficiently. In addition to disease detection, the platform integrates an online pharmacy that allows users to access and purchase recommended medications directly through the system. Furthermore, the platform provides personalized recommendations for herbal and natural remedies, offering alternative or complementary treatment options for users who prefer non-pharmaceutical solutions. By combining AI-powered diagnosis, treatment recommendations, and healthcare accessibility into a single platform, the system aims to reduce the challenges associated with traditional dermatological consultations, improve healthcare accessibility in underserved regions, and promote better awareness and management of skin health.","There is a significant communication barrier between the deaf/mute community and the rest of society. Many people do not know sign language, and there is a lack of common language, leading to social exclusion and difficulties in daily interactions for deaf individuals.","A mobile application that acts as a translator. It uses image processing and machine learning to recognize sign language from photos, translates English text into sign language, and uses 3D character animation to demonstrate sign language signs, making communication accessible and portable.","1. Enhance user experience and usability.
2. Improve system performance and reliability.
3. Create a mobile-friendly and accessible application.
4. Support future scalability and feature expansion.
5. Develop a scalable and maintainable solution.
6. Implement modern technologies and best practices.
7. Improve mobile application usability and performance.","Sign Language Translator. This project is an application to facilitate the communication between deaf, dumb people and other people. The first part we translate the fixed images (taken or uploaded from the device) letters, numbers or simple words in sign language into corresponding to it in English, the second part is a literal translation of sentences English language and translated into sign language and vice versa, The third part to translate words, letters and numbers in English and are converted into sign language by character 3D (represents the movements of sign language).. This project presents an intelligent web-based healthcare platform designed to improve the early detection and treatment of skin diseases using artificial intelligence and machine learning technologies. The system enables users to upload images of affected skin areas, which are analyzed using advanced image processing and AI-driven diagnostic models to identify potential skin conditions accurately and efficiently. In addition to disease detection, the platform integrates an online pharmacy that allows users to access and purchase recommended medications directly through the system. Furthermore, the platform provides personalized recommendations for herbal and natural remedies, offering alternative or complementary treatment options for users who prefer non-pharmaceutical solutions. By combining AI-powered diagnosis, treatment recommendations, and healthcare accessibility into a single platform, the system aims to reduce the challenges associated with traditional dermatological consultations, improve healthcare accessibility in underserved regions, and promote better awareness and management of skin health.",sign language translator. this project is an application to facilitate the communication between deaf dumb people and other people. the first part we translate the fixed images taken or uploaded from the device letters numbers or simple words in sign language into corresponding to it in english the second part is a literal translation of sentences english language and translated into sign language and vice versa the third part to translate words letters and numbers in english and are converted into sign language by character 3d represents the movements of sign language .. this project presents an intelligent web-based healthcare platform designed to improve the early detection and treatment of skin diseases using artificial intelligence and machine learning technologies. the system enables users to upload images of affected skin areas which are analyzed using advanced image processing and ai-driven diagnostic models to identify potential skin conditions accurately and efficiently. in addition to disease detection the platform integrates an online pharmacy that allows users to access and purchase recommended medications directly through the system. furthermore the platform provides personalized recommendations for herbal and natural remedies offering alternative or complementary treatment options for users who prefer non-pharmaceutical solutions. by combining ai-powered diagnosis treatment recommendations and healthcare accessibility into a single platform the system aims to reduce the challenges associated with traditional dermatological consultations improve healthcare accessibility in underserved regions and promote better awareness and management of skin health.,236,"['sentences english language', 'sign language translator', 'healthcare accessibility', 'translate words letters', 'deaf dumb people']",78.24
200,,Signature-Based Intrusion Detection System,"Abdulmonem Alaa Aldeen Abdulmonem, Ziad Walid Mohammed Reda, Ahmed Ayman Abdelaziz Morad, Hakim Samir Hakim Habib, Khalid Said Abdelmaboud, Youssef Mohammed Youssef Elkady, Abdelrahman Abd El Mawla Elsayed",2024,"This project develops a Signature-Based Intrusion Detection System (IDS) with the goal of identifying and mitigating known threats through precise pattern matching techniques. The system analyzes network traffic and system activities against a comprehensive database of signatures—unique identifiers for known malicious activities—to excel in pinpointing and alerting on specific attacks. The core functionality revolves around real-time monitoring and historical data analysis to ensure timely detection of intrusions, thereby minimizing potential damage. The architecture of the IDS is designed with scalability in mind, permitting regular updates to the signature database to address emerging threats. It incorporates adaptive mechanisms that enable seamless growth and improvement as the cybersecurity landscape evolves. By leveraging efficient algorithms and optimized data structures, the IDS balances high throughput with minimal latency, ensuring it can handle network traffic in real-time. This system is fortified by a user-friendly interface, allowing cybersecurity professionals to easily manage signatures, analyze alerts, and configure the detection parameters.","A robust Signature-Based Intrusion Detection System designed to protect digital infrastructure by monitoring network traffic for known malicious patterns. The project focuses on high-accuracy threat detection, real-time analysis, and providing a user-friendly management interface for security professionals to handle alerts and signature databases effectively.","The constant evolution of cyber threats, the inability of traditional signature-based systems to detect zero-day attacks, high false-positive rates, scalability issues under heavy network traffic, and the difficulty of maintaining and updating signature databases with the latest threat intelligence.","A cutting-edge Signature-Based Intrusion Detection System that leverages an extensive and continuously updated database of threat signatures, optimized pattern-matching algorithms for real-time analysis, and a user-friendly interface for seamless integration into existing security frameworks.","1. Optimize resource allocation and task management.
2. Improve workflow and management efficiency.
3. Enhance system security and protect sensitive user data.
4. Develop a scalable and maintainable solution.
5. Provide efficient data analysis and reporting features.
6. Enhance user experience and usability.
7. Improve system performance and reliability.","Signature-Based Intrusion Detection System. This project develops a Signature-Based Intrusion Detection System (IDS) with the goal of identifying and mitigating known threats through precise pattern matching techniques. The system analyzes network traffic and system activities against a comprehensive database of signatures—unique identifiers for known malicious activities—to excel in pinpointing and alerting on specific attacks. The core functionality revolves around real-time monitoring and historical data analysis to ensure timely detection of intrusions, thereby minimizing potential damage. The architecture of the IDS is designed with scalability in mind, permitting regular updates to the signature database to address emerging threats. It incorporates adaptive mechanisms that enable seamless growth and improvement as the cybersecurity landscape evolves. By leveraging efficient algorithms and optimized data structures, the IDS balances high throughput with minimal latency, ensuring it can handle network traffic in real-time. This system is fortified by a user-friendly interface, allowing cybersecurity professionals to easily manage signatures, analyze alerts, and configure the detection parameters.. A robust Signature-Based Intrusion Detection System designed to protect digital infrastructure by monitoring network traffic for known malicious patterns. The project focuses on high-accuracy threat detection, real-time analysis, and providing a user-friendly management interface for security professionals to handle alerts and signature databases effectively.",signature-based intrusion detection system. this project develops a signature-based intrusion detection system ids with the goal of identifying and mitigating known threats through precise pattern matching techniques. the system analyzes network traffic and system activities against a comprehensive database of signatures unique identifiers for known malicious activities to excel in pinpointing and alerting on specific attacks. the core functionality revolves around real-time monitoring and historical data analysis to ensure timely detection of intrusions thereby minimizing potential damage. the architecture of the ids is designed with scalability in mind permitting regular updates to the signature database to address emerging threats. it incorporates adaptive mechanisms that enable seamless growth and improvement as the cybersecurity landscape evolves. by leveraging efficient algorithms and optimized data structures the ids balances high throughput with minimal latency ensuring it can handle network traffic in real-time. this system is fortified by a user-friendly interface allowing cybersecurity professionals to easily manage signatures analyze alerts and configure the detection parameters.. a robust signature-based intrusion detection system designed to protect digital infrastructure by monitoring network traffic for known malicious patterns. the project focuses on high-accuracy threat detection real-time analysis and providing a user-friendly management interface for security professionals to handle alerts and signature databases effectively.,204,"['signature-based intrusion detection', 'robust signature-based intrusion', 'pattern matching techniques', 'intrusion detection system', 'detection system designed', 'system analyzes network', 'detection system ids', 'network traffic']",73.7
201,,Skin Disease Early Detection and Optimization using Explainable AI,"Nagham Hazem Metwally, Israa Ali Ahmed, Tharaa Ali Mohammed, Hager Eslam Abd El-Monem, Menna-Allah Fathy Abd El-Monem, Mariam Ahmed Eid",2023,"Skin diseases are a global health problem that is difficult to diagnose due to their complexity and the time-consuming nature of traditional diagnosis. This project develops a multiclass machine learning model to differentiate between healthy skin and various skin diseases, including Melanocytic Nevi, Melanoma, Basal cell Carcinoma, Eczema, and others. The model utilizes feature extraction and training stages to classify skin images, and incorporates Grad-CAM to provide explainability by highlighting the specific areas in the image that led to the classification decision.","This project provides an automated system for the early detection of skin diseases. It allows users to upload images of skin conditions, which are then analyzed by a Convolutional Neural Network (CNN) model. The system provides a diagnosis and uses Grad-CAM to visualize the model's decision-making process, helping doctors verify the results. Additionally, the project includes a service for patients to book appointments with dermatologists.","Skin diseases are difficult to diagnose, requiring specialized expertise and equipment that are not always available. Delayed diagnosis can lead to severe health consequences, and the process is often time-consuming and stressful for patients.",The team developed a machine learning-based application that uses CNNs for automated image analysis and classification of skin diseases. The solution includes an explainable AI component (Grad-CAM) to increase trust in the diagnosis and a platform to connect patients with medical professionals for timely treatment.,"1. Improve system performance and reliability.
2. Implement intelligent AI-based functionalities.
3. Implement modern technologies and best practices.
4. Enhance user experience and usability.
5. Develop a scalable and maintainable solution.
6. Improve overall productivity and workflow optimization.","Skin Disease Early Detection and Optimization using Explainable AI. Skin diseases are a global health problem that is difficult to diagnose due to their complexity and the time-consuming nature of traditional diagnosis. This project develops a multiclass machine learning model to differentiate between healthy skin and various skin diseases, including Melanocytic Nevi, Melanoma, Basal cell Carcinoma, Eczema, and others. The model utilizes feature extraction and training stages to classify skin images, and incorporates Grad-CAM to provide explainability by highlighting the specific areas in the image that led to the classification decision.. This project provides an automated system for the early detection of skin diseases. It allows users to upload images of skin conditions, which are then analyzed by a Convolutional Neural Network (CNN) model. The system provides a diagnosis and uses Grad-CAM to visualize the model's decision-making process, helping doctors verify the results. Additionally, the project includes a service for patients to book appointments with dermatologists.",skin disease early detection and optimization using explainable ai. skin diseases are a global health problem that is difficult to diagnose due to their complexity and the time-consuming nature of traditional diagnosis. this project develops a multiclass machine learning model to differentiate between healthy skin and various skin diseases including melanocytic nevi melanoma basal cell carcinoma eczema and others. the model utilizes feature extraction and training stages to classify skin images and incorporates grad-cam to provide explainability by highlighting the specific areas in the image that led to the classification decision.. this project provides an automated system for the early detection of skin diseases. it allows users to upload images of skin conditions which are then analyzed by a convolutional neural network cnn model. the system provides a diagnosis and uses grad-cam to visualize the model s decision-making process helping doctors verify the results. additionally the project includes a service for patients to book appointments with dermatologists.,157,"['optimization using explainable', 'diseases including melanocytic', 'disease early detection', 'skin diseases including', 'global health problem', 'difficult to diagnose', 'time-consuming nature', 'nature of traditional', 'traditional diagnosis', 'skin disease early', 'diagnose due']",100.0
202,,Skin Diseases Diagnosis BASHRA Faculty of Computer and Artificial Intelligence,"Mohamed Hegazy, Khaled Ibrahim",2025,"Skin diseases are the fourth most prevalent cause of human illness, contributing significantly to non-fatal burdens on daily activities. These conditions result from exposure to chemical, physical, and biological factors. Traditionally, diagnosis relies on visual assessment combined with clinical information, but this approach is manual, time-consuming, and requires both expertise and keen visual perception. This study presents an automated system for diagnosing common skin diseases. In addition to diagnosis, the system offers skincare products and herbal cosmetics, which are supplied by pre-contracted pharmacies. To develop the system, clinical images were captured using various smartphone cameras, and patient data was gathered during the registration process. Several preprocessing and data augmentation techniques were applied to improve model performance prior to training. The system is available as both a smartphone app and a web application, making it a valuable decision support tool, especially in low resource settings where dermatological expertise and medical resources may be limited. Furthermore, the system provides personalized skincare tips and facilitates the delivery of skin care products through partnered pharmacies. Given the challenges of traditional skin disease diagnosis-such as time constraints, reliance on experience, and susceptibility to errors this automated solution aims to enhance the accuracy, accessibility, and efficiency of dermatological care","2 PROBLEM SOLUTION The increasing prevalence of skin diseases, coupled with limited access to dermatologists and proper medical care, highlights the need for an efficient and accessible solution for carly detection and treatment. This project offers an innovative web-based system that integrates Al-driven skin disease detection, a built-in pharmacy, and an intelligent recommendation system for both pharmaceutical and herbal treatments. Utilizing advanced image processing and machine learning algorithms, the system allows users to upload images of affected skin areas for accurate diagnosis, eliminating the barriers of traditional medical consultations. Once a condition is identified, the system provides personalized recommendations for appropriate medications available in the integrated pharmacy, enabling users to purchase the required drugs instantly. Additionally, the platform suggests herbal remedies, catering to individuals who prefer natural treatment options or seek complementary therapies. By offering a seamless, all-in-one healthcare solution, the project improves accessibility to dermatological care, particularly for people in remote or underserved regions. It reduces the risks associated with self-diagnosis and improper medication use, ensuring users receive reliable medical guidance. Furthermore, the system promotes awareness and education about various skin conditions, empowering individuals to take proactive steps in managing their skin health. By combining Al-d","Traditional manual and paper-based processes are time-consuming, inefficient, and highly prone to human errors. Furthermore, the lack of an integrated digital system makes it difficult to manage operations efficiently and access important services or information in a timely manner, leading to delays, poor coordination, and reduced overall productivity..","Skin diseases are the fourth most prevalent cause of human illness, contributing significantly to non-fatal burdens on daily activities. These conditions result from exposure to chemical, physical, and biological factors.","1. Enhance user experience and usability.
2. Improve overall productivity and workflow optimization.
3. Train and optimize machine learning algorithms.
4. Develop a responsive and user-friendly web application.
5. Improve decision-making using artificial intelligence techniques.","Skin Diseases Diagnosis BASHRA Faculty of Computer and Artificial Intelligence. Skin diseases are the fourth most prevalent cause of human illness, contributing significantly to non-fatal burdens on daily activities. These conditions result from exposure to chemical, physical, and biological factors. Traditionally, diagnosis relies on visual assessment combined with clinical information, but this approach is manual, time-consuming, and requires both expertise and keen visual perception. This study presents an automated system for diagnosing common skin diseases. In addition to diagnosis, the system offers skincare products and herbal cosmetics, which are supplied by pre-contracted pharmacies. To develop the system, clinical images were captured using various smartphone cameras, and patient data was gathered during the registration process. Several preprocessing and data augmentation techniques were applied to improve model performance prior to training. The system is available as both a smartphone app and a web application, making it a valuable decision support tool, especially in low resource settings where dermatological expertise and medical resources may be limited. Furthermore, the system provides personalized skincare tips and facilitates the delivery of skin care products through partnered pharmacies. Given the challenges of traditional skin disease diagnosis-such as time constraints, reliance on experience, and susceptibility to errors this automated solution aims to enhance the accuracy, accessibility, and efficiency of dermatological care. 2 PROBLEM SOLUTION The increasing prevalence of skin diseases, coupled with limited access to dermatologists and proper medical care, highlights the need for an efficient and accessible solution for carly detection and treatment. This project offers an innovative web-based system that integrates Al-driven skin disease detection, a built-in pharmacy, and an intelligent recommendation system for both pharmaceutical and herbal treatments. Utilizing advanced image processing and machine learning algorithms, the system allows users to upload images of affected skin areas for accurate diagnosis, eliminating the barriers of traditional medical consultations. Once a condition is identified, the system provides personalized recommendations for appropriate medications available in the integrated pharmacy, enabling users to purchase the required drugs instantly. Additionally, the platform suggests herbal remedies, catering to individuals who prefer natural treatment options or seek complementary therapies. By offering a seamless, all-in-one healthcare solution, the project improves accessibility to dermatological care, particularly for people in remote or underserved regions. It reduces the risks associated with self-diagnosis and improper medication use, ensuring users receive reliable medical guidance. Furthermore, the system promotes awareness and education about various skin conditions, empowering individuals to take proactive steps in managing their skin health. By combining Al-d",skin diseases diagnosis bashra faculty of computer and artificial intelligence. skin diseases are the fourth most prevalent cause of human illness contributing significantly to non-fatal burdens on daily activities. these conditions result from exposure to chemical physical and biological factors. traditionally diagnosis relies on visual assessment combined with clinical information but this approach is manual time-consuming and requires both expertise and keen visual perception. this study presents an automated system for diagnosing common skin diseases. in addition to diagnosis the system offers skincare products and herbal cosmetics which are supplied by pre-contracted pharmacies. to develop the system clinical images were captured using various smartphone cameras and patient data was gathered during the registration process. several preprocessing and data augmentation techniques were applied to improve model performance prior to training. the system is available as both a smartphone app and a web application making it a valuable decision support tool especially in low resource settings where dermatological expertise and medical resources may be limited. furthermore the system provides personalized skincare tips and facilitates the delivery of skin care products through partnered pharmacies. given the challenges of traditional skin disease diagnosis-such as time constraints reliance on experience and susceptibility to errors this automated solution aims to enhance the accuracy accessibility and efficiency of dermatological care. 2 problem solution the increasing prevalence of skin diseases coupled with limited access to dermatologists and proper medical care highlights the need for an efficient and accessible solution for carly detection and treatment. this project offers an innovative web-based system that integrates al-driven skin disease detection a built-in pharmacy and an intelligent recommendation system for both pharmaceutical and herbal treatments. utilizing advanced image processing and machine learning algorithms the system allows users to upload images of affected skin areas for accurate diagnosis eliminating the barriers of traditional medical consultations. once a condition is identified the system provides personalized recommendations for appropriate medications available in the integrated pharmacy enabling users to purchase the required drugs instantly. additionally the platform suggests herbal remedies catering to individuals who prefer natural treatment options or seek complementary therapies. by offering a seamless all-in-one healthcare solution the project improves accessibility to dermatological care particularly for people in remote or underserved regions. it reduces the risks associated with self-diagnosis and improper medication use ensuring users receive reliable medical guidance. furthermore the system promotes awareness and education about various skin conditions empowering individuals to take proactive steps in managing their skin health. by combining al-d,410,"['diseases diagnosis bashra', 'diagnosis bashra faculty', 'traditional skin disease', 'artificial intelligence', 'computer and artificial', 'skin diseases diagnosis', 'common skin diseases', 'faculty of computer']",90.34
203,,Smart Assistant for Ophthalmologist,"Mohamed Ibrahim Mohamed Khalil, Mohamed Ahmed Mohamed Abdelmaksoud, Mohamed Reda Mohamed Mahdi, Mohamed Salah Abdelaziz Heikal, Ahmed Mostafa Soliman Hakeem, Asmaa Ahmed Farghaly Ibrahim, Omnia Abdelaal Abdelrahman Ibrahim",2024,"The increasing prevalence of retinal diseases, color blindness, nearsightedness, and farsightedness underscore the critical need for innovative solutions that enhance diagnostic accuracy and streamline patient care in the field of ophthalmology. Our project presents a groundbreaking approach, integrating cutting-edge technology to empower healthcare professionals and improve patient outcomes. The core of our initiative lies in a mobile application designed for both iOS and Android platforms. Leveraging the capabilities of modern smartphones, our application seamlessly integrates a 20D lens attachment to the device's camera. This novel combination enables users to capture high-resolution retinal images, facilitating the early detection and diagnosis of various ophthalmic conditions. The captured images are processed through a sophisticated AI-powered diagnostic system, providing healthcare practitioners with valuable insights to support their clinical decision-making process. In addition to retinal disease diagnosis, our system extends its functionality to assess color vision deficiencies, nearsightedness, and farsightedness. Through a user-friendly interface, individuals can easily perform self-assessments, fostering early awareness and proactive management of visual impairments. Complementing the mobile application is a robust web platform tailored to the specific needs of healthcare providers. The platform facilitates seamless appointment scheduling, allowing both doctors and patients to manage their engagements efficiently. Doctors can access a centralized database for patient records, enabling them to monitor and analyze longitudinal data, leading to more informed treatment plans. Patients, on the other hand, benefit from a user-centric web interface, empowering them to book appointments, access their medical records, and receive personalized health insights. The secure and user-friendly design ensures a smooth and engaging experience for individuals seeking eye care services.","The Smart Assistant for Ophthalmologist is an integrated healthcare solution combining a mobile application and a web platform. The mobile app uses a 20D lens attachment with smartphone cameras to capture retinal images, which are then analyzed by AI algorithms for disease detection. The web platform serves as a management system for doctors to handle appointments, patient records, and longitudinal data analysis, while providing patients with a portal for booking and health tracking.","Traditional ophthalmic diagnostic methods are often expensive, stationary, and inaccessible, leading to challenges in early detection and management of eye conditions. There is a lack of portable, cost-effective tools for high-resolution retinal imaging and a need for better integration between patient-doctor interactions and diagnostic workflows.","A dual-platform system: a mobile application that utilizes a 20D lens for portable, high-resolution retinal imaging processed by AI for immediate diagnosis, and a web-based management system to streamline appointment scheduling, patient record keeping, and communication between patients and eye care professionals.","1. Develop a responsive and user-friendly web application.
2. Implement intelligent AI-based functionalities.
3. Improve tracking accuracy and operational visibility.
4. Improve mobile application usability and performance.
5. Support future scalability and feature expansion.
6. Improve system performance and reliability.","Smart Assistant for Ophthalmologist. The increasing prevalence of retinal diseases, color blindness, nearsightedness, and farsightedness underscore the critical need for innovative solutions that enhance diagnostic accuracy and streamline patient care in the field of ophthalmology. Our project presents a groundbreaking approach, integrating cutting-edge technology to empower healthcare professionals and improve patient outcomes. The core of our initiative lies in a mobile application designed for both iOS and Android platforms. Leveraging the capabilities of modern smartphones, our application seamlessly integrates a 20D lens attachment to the device's camera. This novel combination enables users to capture high-resolution retinal images, facilitating the early detection and diagnosis of various ophthalmic conditions. The captured images are processed through a sophisticated AI-powered diagnostic system, providing healthcare practitioners with valuable insights to support their clinical decision-making process. In addition to retinal disease diagnosis, our system extends its functionality to assess color vision deficiencies, nearsightedness, and farsightedness. Through a user-friendly interface, individuals can easily perform self-assessments, fostering early awareness and proactive management of visual impairments. Complementing the mobile application is a robust web platform tailored to the specific needs of healthcare providers. The platform facilitates seamless appointment scheduling, allowing both doctors and patients to manage their engagements efficiently. Doctors can access a centralized database for patient records, enabling them to monitor and analyze longitudinal data, leading to more informed treatment plans. Patients, on the other hand, benefit from a user-centric web interface, empowering them to book appointments, access their medical records, and receive personalized health insights. The secure and user-friendly design ensures a smooth and engaging experience for individuals seeking eye care services.. The Smart Assistant for Ophthalmologist is an integrated healthcare solution combining a mobile application and a web platform. The mobile app uses a 20D lens attachment with smartphone cameras to capture retinal images, which are then analyzed by AI algorithms for disease detection. The web platform serves as a management system for doctors to handle appointments, patient records, and longitudinal data analysis, while providing patients with a portal for booking and health tracking.",smart assistant for ophthalmologist. the increasing prevalence of retinal diseases color blindness nearsightedness and farsightedness underscore the critical need for innovative solutions that enhance diagnostic accuracy and streamline patient care in the field of ophthalmology. our project presents a groundbreaking approach integrating cutting-edge technology to empower healthcare professionals and improve patient outcomes. the core of our initiative lies in a mobile application designed for both ios and android platforms. leveraging the capabilities of modern smartphones our application seamlessly integrates a 20d lens attachment to the device s camera. this novel combination enables users to capture high-resolution retinal images facilitating the early detection and diagnosis of various ophthalmic conditions. the captured images are processed through a sophisticated ai-powered diagnostic system providing healthcare practitioners with valuable insights to support their clinical decision-making process. in addition to retinal disease diagnosis our system extends its functionality to assess color vision deficiencies nearsightedness and farsightedness. through a user-friendly interface individuals can easily perform self-assessments fostering early awareness and proactive management of visual impairments. complementing the mobile application is a robust web platform tailored to the specific needs of healthcare providers. the platform facilitates seamless appointment scheduling allowing both doctors and patients to manage their engagements efficiently. doctors can access a centralized database for patient records enabling them to monitor and analyze longitudinal data leading to more informed treatment plans. patients on the other hand benefit from a user-centric web interface empowering them to book appointments access their medical records and receive personalized health insights. the secure and user-friendly design ensures a smooth and engaging experience for individuals seeking eye care services.. the smart assistant for ophthalmologist is an integrated healthcare solution combining a mobile application and a web platform. the mobile app uses a 20d lens attachment with smartphone cameras to capture retinal images which are then analyzed by ai algorithms for disease detection. the web platform serves as a management system for doctors to handle appointments patient records and longitudinal data analysis while providing patients with a portal for booking and health tracking.,339,"['assistant for ophthalmologist', 'enhance diagnostic accuracy', 'retinal diseases color', 'mobile application', 'patient records', 'smart assistant', 'retinal images', 'web platform']",74.24
204,,Smart Home Automation,"Mahmoud Hemida Younis, Mahmoud Ahmed Elsaeed, Mahmoud Ahmed Hussin, Mohammed Khairy Shepl, Mohamed Elsayed hassan, Mohammed Alaa Tawfiq",2017,"Smart Home systems are systems and devices that can control elements of your home environment - lighting, appliances, telephones, as well as home security, mechanical, entry and safety systems. They can be used to improve safety, expand usability and make life easier for people of all abilities. Smart Home systems can be operated by electricity or a computer chip using a range of different types of switches. Smart Home is the residential extension of building automation. It is automation of the home, housework or household activity. Smart Home is a central system that can control and create communication between nearly all aspects of your house. This includes: Lighting, Heating and Air Conditioning, Fire control system, and Security System (doors).","The project is a smart home automation system that allows users to remotely control and monitor home appliances and security features using a smartphone. It integrates various sensors and actuators to manage lighting, temperature, fire safety, and door security, providing a centralized and automated home environment.","In these days, we face a problem to control our home in outside such as turn on or off lights, electrical devices as TV, air condition and etc., and open or close the doors.",The project provides a system for solving these problems by using Arduino to monitor and control home appliances. It uses Bluetooth technology to allow users to connect to their home network via smartphones and tablets to manage devices remotely.,"1. Implement modern technologies and best practices.
2. Provide accurate and reliable functionality.
3. Improve operational efficiency through automation.
4. Improve overall productivity and workflow optimization.
5. Develop a scalable and maintainable solution.
6. Enhance system security and protect sensitive user data.
7. Automate repetitive processes and reduce manual effort.
8. Implement intelligent AI-based functionalities.","Smart Home Automation. Smart Home systems are systems and devices that can control elements of your home environment - lighting, appliances, telephones, as well as home security, mechanical, entry and safety systems. They can be used to improve safety, expand usability and make life easier for people of all abilities. Smart Home systems can be operated by electricity or a computer chip using a range of different types of switches. Smart Home is the residential extension of building automation. It is automation of the home, housework or household activity. Smart Home is a central system that can control and create communication between nearly all aspects of your house. This includes: Lighting, Heating and Air Conditioning, Fire control system, and Security System (doors).. The project is a smart home automation system that allows users to remotely control and monitor home appliances and security features using a smartphone. It integrates various sensors and actuators to manage lighting, temperature, fire safety, and door security, providing a centralized and automated home environment.",smart home automation. smart home systems are systems and devices that can control elements of your home environment - lighting appliances telephones as well as home security mechanical entry and safety systems. they can be used to improve safety expand usability and make life easier for people of all abilities. smart home systems can be operated by electricity or a computer chip using a range of different types of switches. smart home is the residential extension of building automation. it is automation of the home housework or household activity. smart home is a central system that can control and create communication between nearly all aspects of your house. this includes lighting heating and air conditioning fire control system and security system doors .. the project is a smart home automation system that allows users to remotely control and monitor home appliances and security features using a smartphone. it integrates various sensors and actuators to manage lighting temperature fire safety and door security providing a centralized and automated home environment.,169,"['home security mechanical', 'home automation system', 'smart home systems', 'home environment']",50.38
205,,Smart Home Controlled By Flutter Application,"Ibrahim Samir El-Tbakh, Ibrahim Ahmed El-Badwy, Ahmed Medhat Serag, Asmaa Ahmed Saeed, Manar Ahmed Mohamed, Hager Mahmoud Maher",2022,"Internet-of-Things (IoT) is the expansion of internet services. Applications of IoT are increasing. Rapid growth in technologies and improvements in architecture comes out many problems that how to manage and control the whole system. We developed a flutter app which consists of all the rooms of the house, at each room there is separated control of each device in addition to sensors of heat and humidity, which increase safety in the house. Every family member can have his own account on the app to have access to all rooms and devices. Security is not a big problem anymore, once you have the whole house in your pocket, you get notifications if there is water leak or increase in heat or even there is smoke.","The project is a cross-platform mobile application built with Flutter that allows users to remotely monitor and control smart home appliances and sensors. It provides a centralized interface for managing home devices, ensuring security through user authentication, and enhancing safety by providing real-time notifications for environmental hazards like smoke, heat, or water leaks.","Managing and controlling various household devices and ensuring home security remotely is difficult due to the lack of a unified, user-friendly interface and the complexity of integrating diverse IoT hardware.","A centralized Flutter-based mobile application that connects to household IoT devices and sensors via standard network protocols, allowing users to monitor and control their home environment from anywhere.","1. Enhance user experience and usability.
2. Create a mobile-friendly and accessible application.
3. Support future scalability and feature expansion.
4. Improve overall productivity and workflow optimization.
5. Integrate IoT technologies for smart automation.","Smart Home Controlled By Flutter Application. Internet-of-Things (IoT) is the expansion of internet services. Applications of IoT are increasing. Rapid growth in technologies and improvements in architecture comes out many problems that how to manage and control the whole system. We developed a flutter app which consists of all the rooms of the house, at each room there is separated control of each device in addition to sensors of heat and humidity, which increase safety in the house. Every family member can have his own account on the app to have access to all rooms and devices. Security is not a big problem anymore, once you have the whole house in your pocket, you get notifications if there is water leak or increase in heat or even there is smoke.. The project is a cross-platform mobile application built with Flutter that allows users to remotely monitor and control smart home appliances and sensors. It provides a centralized interface for managing home devices, ensuring security through user authentication, and enhancing safety by providing real-time notifications for environmental hazards like smoke, heat, or water leaks.",smart home controlled by flutter application. internet-of-things iot is the expansion of internet services. applications of iot are increasing. rapid growth in technologies and improvements in architecture comes out many problems that how to manage and control the whole system. we developed a flutter app which consists of all the rooms of the house at each room there is separated control of each device in addition to sensors of heat and humidity which increase safety in the house. every family member can have his own account on the app to have access to all rooms and devices. security is not a big problem anymore once you have the whole house in your pocket you get notifications if there is water leak or increase in heat or even there is smoke.. the project is a cross-platform mobile application built with flutter that allows users to remotely monitor and control smart home appliances and sensors. it provides a centralized interface for managing home devices ensuring security through user authentication and enhancing safety by providing real-time notifications for environmental hazards like smoke heat or water leaks.,183,"['smart home controlled', 'expansion of internet', 'controlled by flutter', 'internet services']",83.39
206,,Smart Lecture Project,"Amr Gamal Abd-Elaziz Elsheikh, Azza Talaat Abo-Elmaty Elbadawi, Karima Mohamed Khater Elsayed, Mohamed Abd-Elhady Abd-Elbary Elbatawy, Mohammed Elsaeed Antar Sushan, Mohamed Abd-Elfatah Yassin Ahmed",2017,"Our application is about smart camera phone which we will put while the lecturer is explaining lecture. Our application captures photos and compares them with each other, saving the one that has high histogram and uploading them on the faculty website to make students downloading them to save their time in lecture and concentrate during explaining.","The Smart Lecture project is a mobile application designed to assist students during lectures by automating the capture and distribution of board content. By using the smartphone camera to take pictures of the board when it is filled with writing, the application processes these images and uploads them to a Firebase database, allowing students to focus on the lecture rather than manual note-taking.","Students struggle to concentrate during lectures because they are preoccupied with writing down notes from the board. Additionally, valuable lecture time is lost when professors pause for students to copy material, and there are often delays in students receiving course materials.",A mobile application that uses the device camera to automatically capture images of the whiteboard when it is full of content. The system uses image processing (OpenCV) to select the best quality images based on histogram analysis and stores them in a Firebase database for easy student access.,"1. Improve decision-making using artificial intelligence techniques.
2. Improve overall productivity and workflow optimization.
3. Enhance user experience and usability.
4. Implement modern technologies and best practices.
5. Implement intelligent AI-based functionalities.
6. Develop a responsive and user-friendly web application.
7. Provide accurate and reliable functionality.
8. Develop a scalable and maintainable solution.","Smart Lecture Project. Our application is about smart camera phone which we will put while the lecturer is explaining lecture. Our application captures photos and compares them with each other, saving the one that has high histogram and uploading them on the faculty website to make students downloading them to save their time in lecture and concentrate during explaining.. The Smart Lecture project is a mobile application designed to assist students during lectures by automating the capture and distribution of board content. By using the smartphone camera to take pictures of the board when it is filled with writing, the application processes these images and uploads them to a Firebase database, allowing students to focus on the lecture rather than manual note-taking.",smart lecture project. our application is about smart camera phone which we will put while the lecturer is explaining lecture. our application captures photos and compares them with each other saving the one that has high histogram and uploading them on the faculty website to make students downloading them to save their time in lecture and concentrate during explaining.. the smart lecture project is a mobile application designed to assist students during lectures by automating the capture and distribution of board content. by using the smartphone camera to take pictures of the board when it is filled with writing the application processes these images and uploads them to a firebase database allowing students to focus on the lecture rather than manual note-taking.,122,"['application captures photos', 'mobile application designed', 'make students downloading', 'lecturer is explaining', 'smart lecture project', 'smart camera phone', 'explaining lecture']",88.83
207,,Smart Library,"Abdel Hamid Abdel Nasser, Mahmoud Tamer Mahmoud, Amer Saed Mohamed Ali Amer, Tahany Adel Faragallah, Hala Ahmed Saad Salem, Mohamed Khaled Mohamed",2022,"Egypt is striving and our efforts are focused these days towards digital transformation and the nationalization of all its government facilities, including the higher education sector. With more than 4 million university students and up to 644, 000 graduates annually, we need smart digital systems that support the educational process and scientific research. Therefore, we have developed a smart library application that takes care of books, recommendations, and user opinions, and provides the appropriate electronic environment for university students to find and nominate appropriate books through an electronic application based on artificial intelligence. Where, using artificial intelligence algorithms, the application will analyze book data and student data together to choose the most appropriate scientific content, in addition to the chatbot is designed to intelligently simulate human conversations. Finally, the smart library provides books to students faster and easier, and encourages them to read and benefit from their information, and the presence of suggestions for similar books will make them not stop reading and expand their horizons, and also the presence of a chatbot will increase the ease of access to books.","The Smart Library project is a digital platform designed to modernize university library systems in Egypt. It integrates AI-driven book recommendations, an interactive chatbot for user assistance, social groups for collaborative reading, and a QR-code-based borrowing system to streamline library operations and improve student access to academic resources.","University libraries in Egypt face delays in digital transformation, relying on traditional, non-interactive systems. This leads to inefficient resource usage, difficulty for students in finding relevant academic materials, and a lack of engagement, ultimately hindering the educational process.","The project proposes an AI-powered smart library application that features a machine learning recommendation engine, an intelligent chatbot for conversational support, social networking features for students, and a QR-code system for automated book borrowing and management.","1. Provide accurate and reliable functionality.
2. Provide interactive educational tools and resources.
3. Improve decision-making using artificial intelligence techniques.
4. Implement intelligent AI-based functionalities.
5. Improve system performance and reliability.
6. Improve learning experience and educational accessibility.","Smart Library. Egypt is striving and our efforts are focused these days towards digital transformation and the nationalization of all its government facilities, including the higher education sector. With more than 4 million university students and up to 644, 000 graduates annually, we need smart digital systems that support the educational process and scientific research. Therefore, we have developed a smart library application that takes care of books, recommendations, and user opinions, and provides the appropriate electronic environment for university students to find and nominate appropriate books through an electronic application based on artificial intelligence. Where, using artificial intelligence algorithms, the application will analyze book data and student data together to choose the most appropriate scientific content, in addition to the chatbot is designed to intelligently simulate human conversations. Finally, the smart library provides books to students faster and easier, and encourages them to read and benefit from their information, and the presence of suggestions for similar books will make them not stop reading and expand their horizons, and also the presence of a chatbot will increase the ease of access to books.. The Smart Library project is a digital platform designed to modernize university library systems in Egypt. It integrates AI-driven book recommendations, an interactive chatbot for user assistance, social groups for collaborative reading, and a QR-code-based borrowing system to streamline library operations and improve student access to academic resources.",smart library. egypt is striving and our efforts are focused these days towards digital transformation and the nationalization of all its government facilities including the higher education sector. with more than 4 million university students and up to 644 000 graduates annually we need smart digital systems that support the educational process and scientific research. therefore we have developed a smart library application that takes care of books recommendations and user opinions and provides the appropriate electronic environment for university students to find and nominate appropriate books through an electronic application based on artificial intelligence. where using artificial intelligence algorithms the application will analyze book data and student data together to choose the most appropriate scientific content in addition to the chatbot is designed to intelligently simulate human conversations. finally the smart library provides books to students faster and easier and encourages them to read and benefit from their information and the presence of suggestions for similar books will make them not stop reading and expand their horizons and also the presence of a chatbot will increase the ease of access to books.. the smart library project is a digital platform designed to modernize university library systems in egypt. it integrates ai-driven book recommendations an interactive chatbot for user assistance social groups for collaborative reading and a qr-code-based borrowing system to streamline library operations and improve student access to academic resources.,231,"['government facilities including', 'modernize university library', 'million university students', 'university library systems', 'smart library application', 'higher education sector.', 'artificial intelligence', 'smart digital systems']",98.38
208,,Smart Parking System,"Omar Maged Galal Eldeen Ali, Omar Khaled Mahmoud Ali, Mohammed Mohsen Sayed Ahmed, Ali Mohammed Ahmed Abdelrady, Mervat Mohy Mohammed Gebriel, Osama Ahmed Elsaid Elazab",2024,"The Smart Parking System aims to streamline the parking experience in private garages by integrating advanced technologies such as License Plate Recognition (LPR), Internet of Things (IoT) sensors, and Artificial Intelligence (AI). The system is designed to provide real-time parking spot availability, secure parking through barcode scanning, and automated payment upon exit. When a car approaches the garage, a camera captures the license plate, and the system verifies whether the driver is a registered user. For registered members, the system grants access based on reservation status, while visitors are allowed entry based on spot availability and entry limits. The system tracks the car's entry time, facilitates parking spot allocation using sensors and RGB LEDs, and monitors reserved spots using parking blockers. Upon exit, the system calculates parking fees based on the duration of stay, enabling mobile payment for registered users or a QR code for visitors. The system includes a rewards mechanism where users earn points for each parking session, redeemable for discounts or gifts. Additionally, an admin dashboard provides full control over system operations, such as monitoring parking space availability, managing user accounts, and overseeing transactions. Through the integration of IoT components like space availability sensors, boom gates, and entry-exit cameras, along with AI for license plate recognition, the system provides an efficient and secure parking solution that enhances user experience while optimizing space utilization in private garages.","The rapid growth of urban populations, coupled with an increase in vehicle ownership, has led to an escalating demand for parking spaces in both public and private garages. As cities become more congested, the availability of parking spots in high-demand areas is becoming increasingly scarce, resulting in a variety of problems for both drivers and property owners. These problems include:","Limited Parking Space Availability: In densely populated urban areas, parking spaces are often limited. Drivers frequently face difficulty finding vacant spots, leading to wasted time, frustration, and increased traffic congestion. This inefficiency also affects the overall traffic flow in the area, contributing to environmental pollution due to longer driving times and more vehicle emissions., Inefficient Parking Management: Traditional parking systems are often manually operated or lack real-time monitoring, making it difficult to track spot occupancy and manage space availability. This results in underutilized parking spaces while other areas may be overcrowded, causing inefficiency in parking space allocation., Inconvenient Payment Systems: Traditional parking systems often rely on ticket-based payment methods, which can be time-consuming and prone to errors. Users may need to walk to a kiosk or pay through cash or manual credit card transactions, resulting in delays at entry and exit points. These systems may also lack integration with mobile apps, leaving users with few convenient payment options., Lack of Real-time Information: Many parking systems do not provide real-time information on parking spot availability, leading to unnecessary searches for available spaces. Drivers are forced to waste time and fuel driving around the parking facility or block access to other vehicles in search of an empty spot, worsening traffic congestion., No Reservation System: Many parking facilities, especially in high-demand areas, do not offer a reservation system. As a result, drivers may not be able to secure a spot in",The Smart Parking System aims to address the key challenges faced by traditional parking management systems in urban environments. The project objectives are as follows:,"1. Support future scalability and feature expansion.
2. Improve overall productivity and workflow optimization.
3. Improve decision-making using artificial intelligence techniques.
4. Implement modern technologies and best practices.
5. Implement intelligent AI-based functionalities.","Smart Parking System. The Smart Parking System aims to streamline the parking experience in private garages by integrating advanced technologies such as License Plate Recognition (LPR), Internet of Things (IoT) sensors, and Artificial Intelligence (AI). The system is designed to provide real-time parking spot availability, secure parking through barcode scanning, and automated payment upon exit. When a car approaches the garage, a camera captures the license plate, and the system verifies whether the driver is a registered user. For registered members, the system grants access based on reservation status, while visitors are allowed entry based on spot availability and entry limits. The system tracks the car's entry time, facilitates parking spot allocation using sensors and RGB LEDs, and monitors reserved spots using parking blockers. Upon exit, the system calculates parking fees based on the duration of stay, enabling mobile payment for registered users or a QR code for visitors. The system includes a rewards mechanism where users earn points for each parking session, redeemable for discounts or gifts. Additionally, an admin dashboard provides full control over system operations, such as monitoring parking space availability, managing user accounts, and overseeing transactions. Through the integration of IoT components like space availability sensors, boom gates, and entry-exit cameras, along with AI for license plate recognition, the system provides an efficient and secure parking solution that enhances user experience while optimizing space utilization in private garages.. The rapid growth of urban populations, coupled with an increase in vehicle ownership, has led to an escalating demand for parking spaces in both public and private garages. As cities become more congested, the availability of parking spots in high-demand areas is becoming increasingly scarce, resulting in a variety of problems for both drivers and property owners. These problems include:",smart parking system. the smart parking system aims to streamline the parking experience in private garages by integrating advanced technologies such as license plate recognition lpr internet of things iot sensors and artificial intelligence ai . the system is designed to provide real-time parking spot availability secure parking through barcode scanning and automated payment upon exit. when a car approaches the garage a camera captures the license plate and the system verifies whether the driver is a registered user. for registered members the system grants access based on reservation status while visitors are allowed entry based on spot availability and entry limits. the system tracks the car s entry time facilitates parking spot allocation using sensors and rgb leds and monitors reserved spots using parking blockers. upon exit the system calculates parking fees based on the duration of stay enabling mobile payment for registered users or a qr code for visitors. the system includes a rewards mechanism where users earn points for each parking session redeemable for discounts or gifts. additionally an admin dashboard provides full control over system operations such as monitoring parking space availability managing user accounts and overseeing transactions. through the integration of iot components like space availability sensors boom gates and entry-exit cameras along with ai for license plate recognition the system provides an efficient and secure parking solution that enhances user experience while optimizing space utilization in private garages.. the rapid growth of urban populations coupled with an increase in vehicle ownership has led to an escalating demand for parking spaces in both public and private garages. as cities become more congested the availability of parking spots in high-demand areas is becoming increasingly scarce resulting in a variety of problems for both drivers and property owners. these problems include,294,"['license plate recognition', 'parking spot availability', 'real-time parking spot', 'smart parking system', 'parking system aims', 'private garages']",80.13
209,,Smart Social Network,"Ahmed Gamal Nazmy, Amr Sadr El-dein khamis, Fady yossef Naaem, Maha Abd-el Aziz Hassan, Marina Adel Gerges, Omar Mustafa Al-Faramawi, Nadeen Sami Abdullah, Mohamed Zahed El-sayed",2019,"The Smart Social Network project explores the evolution of online communities and the impact of Web 0 technologies on social interaction. It focuses on creating a platform that facilitates user-generated content, information sharing, and community building. By leveraging RSS feeds and dynamic web technologies, the project aims to bridge the gap between isolated users and relevant online communities, fostering engagement and knowledge exchange.","This project is a web-based social networking platform designed to facilitate interaction and content sharing among users. It incorporates RSS feed integration to allow users to aggregate and monitor content from various sources, promoting a more personalized and efficient way of staying updated with community interests. The system emphasizes user-driven content creation and the ability to connect with like-minded individuals across different domains.","Traditional online communication often leads to isolation or difficulty in finding relevant communities. Users struggle to manage and filter the vast amount of information available on the internet, and there is a need for better tools to foster meaningful connections and digital equality.","The project proposes a smart social networking platform that utilizes Web, 0 technologies and RSS aggregation to help users discover, monitor, and share content. By providing a centralized interface for community engagement and content syndication, the platform enables users to connect with others based on shared interests and hobbies.","1. Implement intelligent AI-based functionalities.
2. Provide accurate and reliable functionality.
3. Improve accessibility across different devices and platforms.
4. Enhance user experience and usability.
5. Implement modern technologies and best practices.
6. Improve system performance and reliability.
7. Improve overall productivity and workflow optimization.","Smart Social Network. The Smart Social Network project explores the evolution of online communities and the impact of Web 0 technologies on social interaction. It focuses on creating a platform that facilitates user-generated content, information sharing, and community building. By leveraging RSS feeds and dynamic web technologies, the project aims to bridge the gap between isolated users and relevant online communities, fostering engagement and knowledge exchange.. This project is a web-based social networking platform designed to facilitate interaction and content sharing among users. It incorporates RSS feed integration to allow users to aggregate and monitor content from various sources, promoting a more personalized and efficient way of staying updated with community interests. The system emphasizes user-driven content creation and the ability to connect with like-minded individuals across different domains.",smart social network. the smart social network project explores the evolution of online communities and the impact of web 0 technologies on social interaction. it focuses on creating a platform that facilitates user-generated content information sharing and community building. by leveraging rss feeds and dynamic web technologies the project aims to bridge the gap between isolated users and relevant online communities fostering engagement and knowledge exchange.. this project is a web-based social networking platform designed to facilitate interaction and content sharing among users. it incorporates rss feed integration to allow users to aggregate and monitor content from various sources promoting a more personalized and efficient way of staying updated with community interests. the system emphasizes user-driven content creation and the ability to connect with like-minded individuals across different domains.,129,"['online communities fostering', 'relevant online communities', 'web-based social networking', 'social networking platform', 'network project explores', 'dynamic web technologies', 'social network project', 'smart social network', 'social interaction']",100.0
210,,Smart System for Construction Management,"Ziad Ahmed Sakr, Elsayed Hesham Elsisy, Hebatullah Saad Eissa, Ahmed Amir, Ali Elsayed, Mohamed Rabie, Soaad Elshiekh",2022,"By using the IOT, We built a simulation model to operate the college building intelligently without resorting in most circumstances to the human factor. Our project mainly depends on the link between the hardware parts and the software systems used in the project, Website provides college services to make dealing easier and digital. The project is divided into three part (Smart College Building, Parking Area, website). Smart College Building: Consists of smart gates, smart room, and lecture hall. Smart room: It is a room controlled by a smart virtual assistant called “Zima”, such as controlling the lighting system and electrical appliances in the room by using voice recognition. In the building there is a fingerprint attendance system that is controlled by the college directors so that they know the entry and exit dates for the employees. It also has the ability to record attendance for students through QR-Code and link it to the website so that the lecturer can view all attendance records for students in a daily divided manner in lectures without any human or paper intervention. Parking area: It is a self-managed garage. The Automatic Underground Parking system solves many of the traditional problems associated with urban parking; congestion, pollution, land space, security; through the installation of compact, circular, underground silos that optimize space, are easily installed, and are completely automatic. Website: provide several services, including linking between the hardware parts and software.","The project focuses on creating an integrated smart system for college campus management using IoT technology. It encompasses three main domains: a smart building with automated gates and voice-controlled rooms, an automated attendance system using biometrics and QR codes, and an intelligent underground parking solution to optimize space and reduce congestion.","Traditional college campus management relies heavily on manual human intervention for building access, attendance tracking, and parking, leading to inefficiencies, space wastage, and administrative burdens.","An IoT-based simulation model that automates building operations, including voice-controlled smart rooms, biometric/QR-based attendance tracking, and automated underground parking silos to streamline campus life.","1. Develop a responsive and user-friendly web application.
2. Improve overall productivity and workflow optimization.
3. Improve accessibility across different devices and platforms.
4. Develop a scalable and maintainable solution.
5. Provide accurate and reliable functionality.","Smart System for Construction Management. By using the IOT, We built a simulation model to operate the college building intelligently without resorting in most circumstances to the human factor. Our project mainly depends on the link between the hardware parts and the software systems used in the project, Website provides college services to make dealing easier and digital. The project is divided into three part (Smart College Building, Parking Area, website). Smart College Building: Consists of smart gates, smart room, and lecture hall. Smart room: It is a room controlled by a smart virtual assistant called “Zima”, such as controlling the lighting system and electrical appliances in the room by using voice recognition. In the building there is a fingerprint attendance system that is controlled by the college directors so that they know the entry and exit dates for the employees. It also has the ability to record attendance for students through QR-Code and link it to the website so that the lecturer can view all attendance records for students in a daily divided manner in lectures without any human or paper intervention. Parking area: It is a self-managed garage. The Automatic Underground Parking system solves many of the traditional problems associated with urban parking; congestion, pollution, land space, security; through the installation of compact, circular, underground silos that optimize space, are easily installed, and are completely automatic. Website: provide several services, including linking between the hardware parts and software.. The project focuses on creating an integrated smart system for college campus management using IoT technology. It encompasses three main domains: a smart building with automated gates and voice-controlled rooms, an automated attendance system using biometrics and QR codes, and an intelligent underground parking solution to optimize space and reduce congestion.",smart system for construction management. by using the iot we built a simulation model to operate the college building intelligently without resorting in most circumstances to the human factor. our project mainly depends on the link between the hardware parts and the software systems used in the project website provides college services to make dealing easier and digital. the project is divided into three part smart college building parking area website . smart college building consists of smart gates smart room and lecture hall. smart room it is a room controlled by a smart virtual assistant called zima such as controlling the lighting system and electrical appliances in the room by using voice recognition. in the building there is a fingerprint attendance system that is controlled by the college directors so that they know the entry and exit dates for the employees. it also has the ability to record attendance for students through qr-code and link it to the website so that the lecturer can view all attendance records for students in a daily divided manner in lectures without any human or paper intervention. parking area it is a self-managed garage. the automatic underground parking system solves many of the traditional problems associated with urban parking congestion pollution land space security through the installation of compact circular underground silos that optimize space are easily installed and are completely automatic. website provide several services including linking between the hardware parts and software.. the project focuses on creating an integrated smart system for college campus management using iot technology. it encompasses three main domains a smart building with automated gates and voice-controlled rooms an automated attendance system using biometrics and qr codes and an intelligent underground parking solution to optimize space and reduce congestion.,292,"['intelligently without resorting', 'college building intelligently', 'college building consists', 'construction management.', 'college building parking', 'part smart college', 'built a simulation', 'smart gates smart', 'simulation model', 'model to operate', 'smart system', 'smart room']",76.47
211,,Smart Train System,"Laila Nasser, Mohamed Nasser, Mahmoud Kamel",2018,"Railway Reservation System is a conmplex online distributed transaction application based on client server architecture. The salient features of the software include allowing user from anywhere to do a booking for a journey in any train in any class from anywhere to anywhere; handling reservation, modification cancellation/refunds. This system is basically concerned with the reservation and cancellation of railway tickets to the passenger. The need of this system arouse because as is the known fact that India has the largest railway network in the whole world and it is not possible to handle such a large system manually. By computerizing it, it become possible to overcome the limitations and make the system operations more efficient. The complexity in handling data and records of such a vast system got reduced and became easier by computerizing the system. Also to reduce the time and take advantage of the lack of contention of passengers at the station occurs tracking of trains so that the passenger arrives at the time of arrival of the train and no need to wait. To avoid accidents between the trains, the system will control the communication between the train drives to give the train signals and stops between the station and the other","Rail transport as one of the most important means of transport, has played an important role in the transport industry in Egypt. With Egyptians rapid economic development, the railway lines and passengers have been increasing year by year in the country. With such a huge customer base, buying train tickets problem has been very prominent. The electronic commerce could solve the problem of railway ticketing. Introduced a new online ticketing system is not only technological innovation, but also will improve the railway services, to a certain extent., solve the difficult problem of railway ticketing. And also will reduce the Train accidents by using a new railway services as Train tracking and notifications between passengers and train system. This system is basically concerned with the reservation and cancellation of railway tickets to the as is the known fact that India has the largest railway network in the whole world and it is not possible to handle such a large system manually. By computerizing it, it become possible to overcome the limitations and make the system operations more efficient. The complexity in handling data and records of such a vast system got reduced and became easier by computerizing the system. Being more specific. This online railway reservation System ca can perform the basic functions like reservation and cancellation. The users are required to register on the server for getting access to the database and query result re","Traditional manual and paper-based processes are time-consuming, inefficient, and highly prone to human error. Additionally, the absence of an integrated digital system makes it difficult to manage operations effectively and access important services or information in a timely manner, resulting in delays, poor coordination, and reduced overall productivity and service quality.","Railway Reservation System is a conmplex online  distributed transaction application based on client server  architecture. The salient features of the software include  allowing user from anywhere to do a booking for a journey  in any train in any class from anywhere to anywhere;  handling reservation, modification cancellation/refunds.","1. Enhance user experience and usability.
2. Develop a scalable and maintainable solution.
3. Implement modern technologies and best practices.
4. Implement intelligent AI-based functionalities.
5. Improve tracking accuracy and operational visibility.
6. Provide accurate and reliable functionality.
7. Reduce operational complexity and improve efficiency.","Smart Train System. Railway Reservation System is a conmplex online distributed transaction application based on client server architecture. The salient features of the software include allowing user from anywhere to do a booking for a journey in any train in any class from anywhere to anywhere; handling reservation, modification cancellation/refunds. This system is basically concerned with the reservation and cancellation of railway tickets to the passenger. The need of this system arouse because as is the known fact that India has the largest railway network in the whole world and it is not possible to handle such a large system manually. By computerizing it, it become possible to overcome the limitations and make the system operations more efficient. The complexity in handling data and records of such a vast system got reduced and became easier by computerizing the system. Also to reduce the time and take advantage of the lack of contention of passengers at the station occurs tracking of trains so that the passenger arrives at the time of arrival of the train and no need to wait. To avoid accidents between the trains, the system will control the communication between the train drives to give the train signals and stops between the station and the other. Rail transport as one of the most important means of transport, has played an important role in the transport industry in Egypt. With Egyptians rapid economic development, the railway lines and passengers have been increasing year by year in the country. With such a huge customer base, buying train tickets problem has been very prominent. The electronic commerce could solve the problem of railway ticketing. Introduced a new online ticketing system is not only technological innovation, but also will improve the railway services, to a certain extent., solve the difficult problem of railway ticketing. And also will reduce the Train accidents by using a new railway services as Train tracking and notifications between passengers and train system. This system is basically concerned with the reservation and cancellation of railway tickets to the as is the known fact that India has the largest railway network in the whole world and it is not possible to handle such a large system manually. By computerizing it, it become possible to overcome the limitations and make the system operations more efficient. The complexity in handling data and records of such a vast system got reduced and became easier by computerizing the system. Being more specific. This online railway reservation System ca can perform the basic functions like reservation and cancellation. The users are required to register on the server for getting access to the database and query result re",smart train system. railway reservation system is a conmplex online distributed transaction application based on client server architecture. the salient features of the software include allowing user from anywhere to do a booking for a journey in any train in any class from anywhere to anywhere handling reservation modification cancellation/refunds. this system is basically concerned with the reservation and cancellation of railway tickets to the passenger. the need of this system arouse because as is the known fact that india has the largest railway network in the whole world and it is not possible to handle such a large system manually. by computerizing it it become possible to overcome the limitations and make the system operations more efficient. the complexity in handling data and records of such a vast system got reduced and became easier by computerizing the system. also to reduce the time and take advantage of the lack of contention of passengers at the station occurs tracking of trains so that the passenger arrives at the time of arrival of the train and no need to wait. to avoid accidents between the trains the system will control the communication between the train drives to give the train signals and stops between the station and the other. rail transport as one of the most important means of transport has played an important role in the transport industry in egypt. with egyptians rapid economic development the railway lines and passengers have been increasing year by year in the country. with such a huge customer base buying train tickets problem has been very prominent. the electronic commerce could solve the problem of railway ticketing. introduced a new online ticketing system is not only technological innovation but also will improve the railway services to a certain extent. solve the difficult problem of railway ticketing. and also will reduce the train accidents by using a new railway services as train tracking and notifications between passengers and train system. this system is basically concerned with the reservation and cancellation of railway tickets to the as is the known fact that india has the largest railway network in the whole world and it is not possible to handle such a large system manually. by computerizing it it become possible to overcome the limitations and make the system operations more efficient. the complexity in handling data and records of such a vast system got reduced and became easier by computerizing the system. being more specific. this online railway reservation system ca can perform the basic functions like reservation and cancellation. the users are required to register on the server for getting access to the database and query result re,443,"['railway reservation system', 'online railway reservation', 'largest railway network', 'large system manually.', 'smart train system', 'system operations', 'railway tickets', 'vast system']",100.0
212,,Smart Wheelchair,"Ammar Yasser Abdalmajeed Mashal, Ezzaldien Shafik Elsaied Ghazal, Omima Saber Abdelrahman Ibrahim, Amira Ali Hassan Mohamed, Mohammed Ahmed Khaled Abdelkareem, Mohammed Ramadan Ali Ibrahim",2022,"In this modern era, indeed, recent developments in science and technology have drastically changed the way a normal person lives their life, but we also have to accept that there are certain groups of people who have not benefited from this development. Technology has made a drastic change in the medical field, but we are still facing some problems. This wheelchair is fully automated and was created especially for patients and elderly people. Patients with physical disabilities, such as losing an arm or hand, or elderly people with various physical disabilities, face many challenging problems in their daily lives when commuting from one place to another, and sometimes they must rely on another person to move from one place to another. Many significant efforts have been made in recent years to develop smart wheelchair platforms that allow people to easily operate them without any ambiguity. Besides that, the helper becomes tired from pushing the wheelchair with the patient. So the objective of this invention is to solve the problems of three main people in one shot. They are the patients, disabled people, elderly people, and also the helpers. This wheelchair takes commands from a user and, according to those, it moves in the required direction. A person who is unable to move the chair by hand can move this wheelchair just by giving commands. This is a boon for paralyzed people. Hence, using this chair, the patient can go anywhere independently. Hence, physically disabled people can use this wheelchair easily and live their lives happily.","The project presents a smart, voice-controlled, and autonomous wheelchair designed to assist elderly and physically disabled individuals. The system integrates hardware components like Arduino and Raspberry Pi with an Android application to process voice commands, while utilizing various sensors (ultrasonic, IR, RFID, MPU9250) for obstacle detection, line following, and navigation, thereby reducing the need for manual operation or caregiver assistance.","Physically disabled and elderly individuals face significant mobility challenges with manual wheelchairs, including high energy expenditure, reliance on caregivers, physical discomfort (back pain), and the inability to easily transition to a bed, all of which contribute to a loss of independence and quality of life.","The proposed solution is an intelligent, motorized wheelchair that operates via voice commands through a smartphone application. It features an embedded control system using Arduino and Raspberry Pi, integrated with sensors for obstacle avoidance, path tracking, and autonomous navigation to provide a safe, independent, and low-cost mobility solution.","1. Reduce operational complexity and improve efficiency.
2. Support future scalability and feature expansion.
3. Implement modern technologies and best practices.
4. Enhance user experience and usability.
5. Develop a scalable and maintainable solution.","Smart Wheelchair. In this modern era, indeed, recent developments in science and technology have drastically changed the way a normal person lives their life, but we also have to accept that there are certain groups of people who have not benefited from this development. Technology has made a drastic change in the medical field, but we are still facing some problems. This wheelchair is fully automated and was created especially for patients and elderly people. Patients with physical disabilities, such as losing an arm or hand, or elderly people with various physical disabilities, face many challenging problems in their daily lives when commuting from one place to another, and sometimes they must rely on another person to move from one place to another. Many significant efforts have been made in recent years to develop smart wheelchair platforms that allow people to easily operate them without any ambiguity. Besides that, the helper becomes tired from pushing the wheelchair with the patient. So the objective of this invention is to solve the problems of three main people in one shot. They are the patients, disabled people, elderly people, and also the helpers. This wheelchair takes commands from a user and, according to those, it moves in the required direction. A person who is unable to move the chair by hand can move this wheelchair just by giving commands. This is a boon for paralyzed people. Hence, using this chair, the patient can go anywhere independently. Hence, physically disabled people can use this wheelchair easily and live their lives happily.. The project presents a smart, voice-controlled, and autonomous wheelchair designed to assist elderly and physically disabled individuals. The system integrates hardware components like Arduino and Raspberry Pi with an Android application to process voice commands, while utilizing various sensors (ultrasonic, IR, RFID, MPU9250) for obstacle detection, line following, and navigation, thereby reducing the need for manual operation or caregiver assistance.",smart wheelchair. in this modern era indeed recent developments in science and technology have drastically changed the way a normal person lives their life but we also have to accept that there are certain groups of people who have not benefited from this development. technology has made a drastic change in the medical field but we are still facing some problems. this wheelchair is fully automated and was created especially for patients and elderly people. patients with physical disabilities such as losing an arm or hand or elderly people with various physical disabilities face many challenging problems in their daily lives when commuting from one place to another and sometimes they must rely on another person to move from one place to another. many significant efforts have been made in recent years to develop smart wheelchair platforms that allow people to easily operate them without any ambiguity. besides that the helper becomes tired from pushing the wheelchair with the patient. so the objective of this invention is to solve the problems of three main people in one shot. they are the patients disabled people elderly people and also the helpers. this wheelchair takes commands from a user and according to those it moves in the required direction. a person who is unable to move the chair by hand can move this wheelchair just by giving commands. this is a boon for paralyzed people. hence using this chair the patient can go anywhere independently. hence physically disabled people can use this wheelchair easily and live their lives happily.. the project presents a smart voice-controlled and autonomous wheelchair designed to assist elderly and physically disabled individuals. the system integrates hardware components like arduino and raspberry pi with an android application to process voice commands while utilizing various sensors ultrasonic ir rfid mpu9250 for obstacle detection line following and navigation thereby reducing the need for manual operation or caregiver assistance.,317,"['patients disabled people', 'people elderly people', 'physical disabilities', 'normal person lives', 'smart wheelchair']",96.71
213,,Social Cloud File Manager,"Eman Mohammed, Heba Salah, Nada Adel, Nourhan Ibrahim, Reham Saad, Yousra Ahmed",2024,"The Social Cloud File Manager project explores the intersection of social networking and cloud computing. It examines the evolution of social media and the ubiquity of the internet, providing a platform that leverages cloud infrastructure to allow users to manage and share files efficiently. The project covers the history of social networking, the fundamentals of cloud computing, and the implementation of a system designed to centralize data storage and processing for users.","This project is a web-based application that integrates social networking features with cloud-based file management. It allows users to store, manage, and share their personal files securely over the internet, utilizing cloud computing principles to ensure accessibility from any device. The system includes a structured database design, flowcharts, and data flow diagrams to manage user interactions and file operations.","Users often face challenges with fragmented file storage and the difficulty of sharing data across different social platforms, leading to inefficient data management and accessibility issues.","A centralized Social Cloud File Manager that provides a unified interface for file storage and social sharing, utilizing cloud computing services to ensure high availability, scalability, and ease of access for users.","1. Improve workflow and management efficiency.
2. Support future scalability and feature expansion.
3. Develop a responsive and user-friendly web application.
4. Improve accessibility across different devices and platforms.
5. Enhance user experience and usability.
6. Reduce operational complexity and improve efficiency.","Social Cloud File Manager. The Social Cloud File Manager project explores the intersection of social networking and cloud computing. It examines the evolution of social media and the ubiquity of the internet, providing a platform that leverages cloud infrastructure to allow users to manage and share files efficiently. The project covers the history of social networking, the fundamentals of cloud computing, and the implementation of a system designed to centralize data storage and processing for users.. This project is a web-based application that integrates social networking features with cloud-based file management. It allows users to store, manage, and share their personal files securely over the internet, utilizing cloud computing principles to ensure accessibility from any device. The system includes a structured database design, flowcharts, and data flow diagrams to manage user interactions and file operations.",social cloud file manager. the social cloud file manager project explores the intersection of social networking and cloud computing. it examines the evolution of social media and the ubiquity of the internet providing a platform that leverages cloud infrastructure to allow users to manage and share files efficiently. the project covers the history of social networking the fundamentals of cloud computing and the implementation of a system designed to centralize data storage and processing for users.. this project is a web-based application that integrates social networking features with cloud-based file management. it allows users to store manage and share their personal files securely over the internet utilizing cloud computing principles to ensure accessibility from any device. the system includes a structured database design flowcharts and data flow diagrams to manage user interactions and file operations.,135,"['integrates social networking', 'social networking features', 'manager project explores', 'file manager project', 'cloud file manager', 'social cloud file', 'cloud computing']",100.0
214,,Social media analysis & Predictive modelling,"Ayman Fawzy Zaki Sherief, Noura Hussien Fekry, Anas Zoher natouf, Sara mosaad Elsayed, Abdelraman el-saeed, Mohamed Shehata",2018,"Social media websites have become the largest, most complex, and most data-rich means of communication in our digital world. Huge amounts of data are being published, posted, tweeted and shared daily. Public opinions are expressed and information about markets are being shared among a wide spectrum of social media users. However, most of this data goes unchecked, unharnessed. So, our team has set out with one simple objective in mind; to reach out to this data and make use of it. By applying means of big data analytics, opinion mining, and deep learning to the data. We aim to gather public social media data -mostly in the form of text- and then use sentiment analysis, text mining, and deep learning to extract information and value from this data. From public opinion and direction about certain topics over time and location. To patterns and trends in public sentiment about products or public figures. Then delivering results in the form of figures and plots for the average viewer to understand. Or in the form of statistical reports for organizations who wish to harness the knowledge on social media to make smart decisions. Or even in the form of programming-oriented responses through an API for developers to use.","This project provides a comprehensive social media analysis system that leverages machine learning and natural language processing to extract actionable insights from public social media data. It includes a five-stage pipeline for data collection, cleaning, and sentiment analysis, providing both a web interface for visualization and an API for developers to access trends and public opinion data.","The massive volume of social media data is largely unharnessed, making it difficult for organizations and decision-makers to extract meaningful insights, public opinions, or market trends in real-time.","A software package and web-based system that automates the process of collecting, cleaning, and analyzing social media data using deep learning and sentiment analysis techniques to provide statistical reports and visual trends.","1. Improve prediction accuracy using machine learning models.
2. Develop a responsive and user-friendly web application.
3. Provide accurate and reliable functionality.
4. Implement modern technologies and best practices.
5. Implement intelligent AI-based functionalities.","Social media analysis & Predictive modelling. Social media websites have become the largest, most complex, and most data-rich means of communication in our digital world. Huge amounts of data are being published, posted, tweeted and shared daily. Public opinions are expressed and information about markets are being shared among a wide spectrum of social media users. However, most of this data goes unchecked, unharnessed. So, our team has set out with one simple objective in mind; to reach out to this data and make use of it. By applying means of big data analytics, opinion mining, and deep learning to the data. We aim to gather public social media data -mostly in the form of text- and then use sentiment analysis, text mining, and deep learning to extract information and value from this data. From public opinion and direction about certain topics over time and location. To patterns and trends in public sentiment about products or public figures. Then delivering results in the form of figures and plots for the average viewer to understand. Or in the form of statistical reports for organizations who wish to harness the knowledge on social media to make smart decisions. Or even in the form of programming-oriented responses through an API for developers to use.. This project provides a comprehensive social media analysis system that leverages machine learning and natural language processing to extract actionable insights from public social media data. It includes a five-stage pipeline for data collection, cleaning, and sentiment analysis, providing both a web interface for visualization and an API for developers to access trends and public opinion data.",social media analysis predictive modelling. social media websites have become the largest most complex and most data-rich means of communication in our digital world. huge amounts of data are being published posted tweeted and shared daily. public opinions are expressed and information about markets are being shared among a wide spectrum of social media users. however most of this data goes unchecked unharnessed. so our team has set out with one simple objective in mind to reach out to this data and make use of it. by applying means of big data analytics opinion mining and deep learning to the data. we aim to gather public social media data -mostly in the form of text- and then use sentiment analysis text mining and deep learning to extract information and value from this data. from public opinion and direction about certain topics over time and location. to patterns and trends in public sentiment about products or public figures. then delivering results in the form of figures and plots for the average viewer to understand. or in the form of statistical reports for organizations who wish to harness the knowledge on social media to make smart decisions. or even in the form of programming-oriented responses through an api for developers to use.. this project provides a comprehensive social media analysis system that leverages machine learning and natural language processing to extract actionable insights from public social media data. it includes a five-stage pipeline for data collection cleaning and sentiment analysis providing both a web interface for visualization and an api for developers to access trends and public opinion data.,267,"['analysis predictive modelling', 'media analysis predictive', 'social media analysis', 'social media websites', 'public social media', 'social media users', 'social media data', 'public opinion']",100.0
215,,Steganography Generation and Detection,"Alaa Abdalzaher Faheem Elsaied, Arwa Fikry Gomaa Ali, Radwa Khaled Mohamed Abdrabo, Mustafa Khaled Hassan Abo Wally, Nour Eldeen Walied Mohamed Mohmed, Seif Eldeen Yasser Nassar Mohameden, Saadeldeen Yasser Saad Mohamed, George Tarek Ibrahim Elboghdady",2024,"In recent years, information security has become the most important thing in society, and information security concerns the confidentiality, integrity, and availability of data. So our project will deal with the confidentiality and integrity of data using steganography in addition to cryptography. Steganography is a technique of covert communication that involves concealing information within public media (image, video, audio, text) to ensure confidentiality and integrity. By embedding messages within other non-secret carriers. Cryptography is the practice and study of techniques for secure communication and data protection in the presence of adversaries. It involves the use of mathematical algorithms to convert information into a form that is unintelligible without the appropriate key or password. The primary objective of cryptography is to ensure the confidentiality, integrity, and authenticity of data.","This project provides a comprehensive application for both steganography and steganalysis. It allows users to hide secret messages within various media types (images, text, audio, and video) while optionally applying encryption to the data. Additionally, it includes steganalysis tools, such as histogram analysis and machine learning-based detection (Random Forest), to identify the presence of hidden data in media files.","Organizations and individuals need to maintain the confidentiality of sensitive information during transmission. Conversely, malicious actors use steganography and cryptography to hide information regarding illegal operations. There is a lack of unified applications that provide both robust steganography/encryption tools and the corresponding detection (steganalysis) capabilities.","The project proposes a unified software application that integrates multiple steganography algorithms for different media types, provides data encryption for added security, and implements steganalysis features to detect hidden data using techniques like histogram analysis and Random Forest classifiers.","1. Develop a scalable and maintainable solution.
2. Improve decision-making using artificial intelligence techniques.
3. Support future scalability and feature expansion.
4. Enhance system security and protect sensitive user data.
5. Improve system performance and reliability.
6. Enhance user experience and usability.
7. Implement modern technologies and best practices.
8. Generate accurate analytical insights and visualizations.","Steganography Generation and Detection. In recent years, information security has become the most important thing in society, and information security concerns the confidentiality, integrity, and availability of data. So our project will deal with the confidentiality and integrity of data using steganography in addition to cryptography. Steganography is a technique of covert communication that involves concealing information within public media (image, video, audio, text) to ensure confidentiality and integrity. By embedding messages within other non-secret carriers. Cryptography is the practice and study of techniques for secure communication and data protection in the presence of adversaries. It involves the use of mathematical algorithms to convert information into a form that is unintelligible without the appropriate key or password. The primary objective of cryptography is to ensure the confidentiality, integrity, and authenticity of data.. This project provides a comprehensive application for both steganography and steganalysis. It allows users to hide secret messages within various media types (images, text, audio, and video) while optionally applying encryption to the data. Additionally, it includes steganalysis tools, such as histogram analysis and machine learning-based detection (Random Forest), to identify the presence of hidden data in media files.",steganography generation and detection. in recent years information security has become the most important thing in society and information security concerns the confidentiality integrity and availability of data. so our project will deal with the confidentiality and integrity of data using steganography in addition to cryptography. steganography is a technique of covert communication that involves concealing information within public media image video audio text to ensure confidentiality and integrity. by embedding messages within other non-secret carriers. cryptography is the practice and study of techniques for secure communication and data protection in the presence of adversaries. it involves the use of mathematical algorithms to convert information into a form that is unintelligible without the appropriate key or password. the primary objective of cryptography is to ensure the confidentiality integrity and authenticity of data.. this project provides a comprehensive application for both steganography and steganalysis. it allows users to hide secret messages within various media types images text audio and video while optionally applying encryption to the data. additionally it includes steganalysis tools such as histogram analysis and machine learning-based detection random forest to identify the presence of hidden data in media files.,191,"['information security concerns', 'concerns the confidentiality', 'years information security', 'confidentiality integrity', 'steganography generation', 'recent years information', 'generation and detection', 'ensure confidentiality']",100.0
216,,Stock Market Simulator: TradeSmart,"Ahmed Hussein Badawy Elsayed Badawy, Mohamed Metwally Mostafa Metwally, Mahmud Mohamed Hassan Elbeary, Elsayed Abbas Elsayed Afifi, Mohamed Sabry Mohamed Ahmed Elhammaky",2024,"Due to the current bad economic situation in Egypt and the whole world, we decided to build a 'Stock Market Simulator' to help people to begin investing in the stock market without using real money to know how the process works using many daily used techniques as indicators, analyze stock news and stock price prediction and track user performance. In this project we focus on offering stock prices, a portfolio to show you what stocks do you own, the ability to buy and sell stocks, and a price prediction feature to give you a glimpse of how the price of a stock will be in the near future. We focused on making the website as simple as possible with a friendly user interface, so anyone from any age, who just has access to a mobile phone, or a laptop and an internet connection can start his journey of trading.","TradeSmart is a web-based stock market simulation platform designed to educate users on financial trading. It provides a risk-free environment where users can practice buying and selling stocks, manage virtual portfolios, and utilize machine learning models to predict future stock price trends.","The stock market is complex, volatile, and difficult for beginners to navigate. Investing without prior experience or knowledge in data analysis poses a significant risk of financial loss, especially in challenging economic climates.","A web-based simulation platform that allows users to trade with virtual currency. The system integrates real-time market data, portfolio tracking, and an LSTM-based machine learning model to provide predictive insights, enabling users to learn trading strategies safely.","1. Provide accurate and reliable functionality.
2. Enhance user experience and usability.
3. Improve overall productivity and workflow optimization.
4. Train and optimize machine learning algorithms.
5. Improve prediction accuracy using machine learning models.","Stock Market Simulator: TradeSmart. Due to the current bad economic situation in Egypt and the whole world, we decided to build a 'Stock Market Simulator' to help people to begin investing in the stock market without using real money to know how the process works using many daily used techniques as indicators, analyze stock news and stock price prediction and track user performance. In this project we focus on offering stock prices, a portfolio to show you what stocks do you own, the ability to buy and sell stocks, and a price prediction feature to give you a glimpse of how the price of a stock will be in the near future. We focused on making the website as simple as possible with a friendly user interface, so anyone from any age, who just has access to a mobile phone, or a laptop and an internet connection can start his journey of trading.. TradeSmart is a web-based stock market simulation platform designed to educate users on financial trading. It provides a risk-free environment where users can practice buying and selling stocks, manage virtual portfolios, and utilize machine learning models to predict future stock price trends.",stock market simulator tradesmart. due to the current bad economic situation in egypt and the whole world we decided to build a stock market simulator to help people to begin investing in the stock market without using real money to know how the process works using many daily used techniques as indicators analyze stock news and stock price prediction and track user performance. in this project we focus on offering stock prices a portfolio to show you what stocks do you own the ability to buy and sell stocks and a price prediction feature to give you a glimpse of how the price of a stock will be in the near future. we focused on making the website as simple as possible with a friendly user interface so anyone from any age who just has access to a mobile phone or a laptop and an internet connection can start his journey of trading.. tradesmart is a web-based stock market simulation platform designed to educate users on financial trading. it provides a risk-free environment where users can practice buying and selling stocks manage virtual portfolios and utilize machine learning models to predict future stock price trends.,195,"['market simulator tradesmart', 'price prediction feature', 'indicators analyze stock', 'stock market simulation', 'stock price prediction', 'web-based stock market', 'offering stock prices', 'future stock price', 'stock price trends']",76.59
217,,Stock Prediction Website,"Ahmed Bassuny Abd Elhameed Bassuny, Moustafa Mahmoud Mohamed Gaber, Abdelrahman Motawea Abo-Elmagd, Mazen Mohamed Mansour, Shehab Nabil Mokhtar, Aya Refaat Mohamed Khatab",2022,"The business and financial sector is today the world's financial leader, and stock market trading is a normal practice in the financial world. When it comes to stock market predictions, financial exchange predictions are always more difficult. It is a method of attempting to predict the future value of a company's present shares to avoid loss or possibly profit. Using various characteristics mentioned later in this document, this project will present a machine learning approach to predict the stock exchange accurately and these predicted stocks will be displayed on the website we designed in the form of tables and charts. Python is a programming language that allows for greater reach and understanding. We propose a Machine Learning Algorithm that will be trained using historical datasets from various companies to make near-effective predictions. A strategy for predicting the future value of a company's stock or other financial instrument traded on an exchange is stock market prediction. The main goal of stock market prediction is to make a visible consequential gain, as well as to avoid large losses. Some people may question the veracity of these predictions, claiming that the efficient market hypothesis states that these predictions cannot be achieved with the data currently available, making it essentially unpredictable. However, there are several methods and technologies that can assist in obtaining information about future trends, resulting in effective earnings. In the software, we developed a machine learning model to predict the stock market for the next 7 days, and we will link this model with a website to facilitate the interaction with the users. The website is implemented using the Visual Studio Code and the code is written using Html, CSS, JavaScript, Bootstrap, PHP. The machine learning model is implemented using Anaconda and Jupyter and the code is written using Python. We made programme this project to predict stock market stocks with the highest possible accuracy with less losses. Through this website, you can choose and see the stock exchange shares of any of the companies displayed on the website. Users can easily use the website and go through our services.","The project, titled 'Stocko', is a web-based application designed to assist users in making informed investment decisions by providing stock price forecasts for the next seven days. It leverages machine learning models, specifically Recurrent Neural Networks (RNN) with LSTM and Dense layers, trained on historical stock data from companies like AAPL, AMD, and RBLX. The platform integrates a user-friendly web interface with a backend capable of processing financial data and displaying predictions through interactive charts and tables.","Stock market prediction is a highly challenging and risky task due to the inherent volatility and complexity of financial markets, making it difficult for individual investors to predict future price movements accurately and avoid financial losses.","The team developed a web application that utilizes a machine learning model based on Long Short-Term Memory (LSTM) neural networks to analyze historical stock data and forecast price trends for the upcoming seven days, providing users with actionable insights to optimize investment timing.","1. Improve decision-making using artificial intelligence techniques.
2. Enhance user experience and usability.
3. Implement modern technologies and best practices.
4. Improve overall productivity and workflow optimization.
5. Support future scalability and feature expansion.
6. Reduce operational complexity and improve efficiency.","Stock Prediction Website. The business and financial sector is today the world's financial leader, and stock market trading is a normal practice in the financial world. When it comes to stock market predictions, financial exchange predictions are always more difficult. It is a method of attempting to predict the future value of a company's present shares to avoid loss or possibly profit. Using various characteristics mentioned later in this document, this project will present a machine learning approach to predict the stock exchange accurately and these predicted stocks will be displayed on the website we designed in the form of tables and charts. Python is a programming language that allows for greater reach and understanding. We propose a Machine Learning Algorithm that will be trained using historical datasets from various companies to make near-effective predictions. A strategy for predicting the future value of a company's stock or other financial instrument traded on an exchange is stock market prediction. The main goal of stock market prediction is to make a visible consequential gain, as well as to avoid large losses. Some people may question the veracity of these predictions, claiming that the efficient market hypothesis states that these predictions cannot be achieved with the data currently available, making it essentially unpredictable. However, there are several methods and technologies that can assist in obtaining information about future trends, resulting in effective earnings. In the software, we developed a machine learning model to predict the stock market for the next 7 days, and we will link this model with a website to facilitate the interaction with the users. The website is implemented using the Visual Studio Code and the code is written using Html, CSS, JavaScript, Bootstrap, PHP. The machine learning model is implemented using Anaconda and Jupyter and the code is written using Python. We made programme this project to predict stock market stocks with the highest possible accuracy with less losses. Through this website, you can choose and see the stock exchange shares of any of the companies displayed on the website. Users can easily use the website and go through our services.. The project, titled 'Stocko', is a web-based application designed to assist users in making informed investment decisions by providing stock price forecasts for the next seven days. It leverages machine learning models, specifically Recurrent Neural Networks (RNN) with LSTM and Dense layers, trained on historical stock data from companies like AAPL, AMD, and RBLX. The platform integrates a user-friendly web interface with a backend capable of processing financial data and displaying predictions through interactive charts and tables.",stock prediction website. the business and financial sector is today the world s financial leader and stock market trading is a normal practice in the financial world. when it comes to stock market predictions financial exchange predictions are always more difficult. it is a method of attempting to predict the future value of a company s present shares to avoid loss or possibly profit. using various characteristics mentioned later in this document this project will present a machine learning approach to predict the stock exchange accurately and these predicted stocks will be displayed on the website we designed in the form of tables and charts. python is a programming language that allows for greater reach and understanding. we propose a machine learning algorithm that will be trained using historical datasets from various companies to make near-effective predictions. a strategy for predicting the future value of a company s stock or other financial instrument traded on an exchange is stock market prediction. the main goal of stock market prediction is to make a visible consequential gain as well as to avoid large losses. some people may question the veracity of these predictions claiming that the efficient market hypothesis states that these predictions cannot be achieved with the data currently available making it essentially unpredictable. however there are several methods and technologies that can assist in obtaining information about future trends resulting in effective earnings. in the software we developed a machine learning model to predict the stock market for the next 7 days and we will link this model with a website to facilitate the interaction with the users. the website is implemented using the visual studio code and the code is written using html css javascript bootstrap php. the machine learning model is implemented using anaconda and jupyter and the code is written using python. we made programme this project to predict stock market stocks with the highest possible accuracy with less losses. through this website you can choose and see the stock exchange shares of any of the companies displayed on the website. users can easily use the website and go through our services.. the project titled stocko is a web-based application designed to assist users in making informed investment decisions by providing stock price forecasts for the next seven days. it leverages machine learning models specifically recurrent neural networks rnn with lstm and dense layers trained on historical stock data from companies like aapl amd and rblx. the platform integrates a user-friendly web interface with a backend capable of processing financial data and displaying predictions through interactive charts and tables.,432,"['predictions financial exchange', 'stock market predictions', 'stock prediction website', 'machine learning model', 'stock market trading', 'stock market stocks', 'stock exchange']",77.07
218,,Student Attendance System Using Barcode Reader (SAS),"Mohamed Salah Abdelnaby Abdelhalim, Mahmoud Yosry Shafik Abdallah, Mariam Mohamed Mohamed, Nermeen Abdelazeem Helmy Ghaly, Hadeer Abdelraof, Wesam Mohamed behery",2017,"The project addresses the lack of an automated attendance record-keeping application in colleges. It aims to replace manual registry books with a system where students and staff register attendance by scanning a barcode card. The system allows lecturers to track attendance, manage student/staff profiles, generate reports, and notify parents of absences, thereby improving efficiency and reducing paperwork.","The Student Attendance System (SAS) is a software solution designed to automate the daily attendance tracking process for students and staff at the university. It utilizes barcode scanning technology to record attendance in real-time, which is then stored in a centralized database. The system includes administrative modules for managing user profiles, generating attendance reports, and monitoring absenteeism, providing a more efficient and accurate alternative to manual record-keeping.","The existing manual attendance system is inefficient, time-consuming, and prone to human error. It relies heavily on paperwork, making data retrieval slow and difficult, and lacks a reliable mechanism for generating timely attendance reports or notifying stakeholders about absenteeism.","The proposed solution is an automated Student Attendance System that uses barcode reader technology to instantly capture and store attendance data. By digitizing the process, the system enables real-time data entry, automated report generation, and centralized management of student and staff information, significantly reducing manual effort and errors.","1. Improve tracking accuracy and operational visibility.
2. Enable real-time monitoring and tracking capabilities.
3. Improve overall productivity and workflow optimization.
4. Enhance user experience and usability.
5. Provide accurate and reliable functionality.
6. Improve decision-making using artificial intelligence techniques.","Student Attendance System Using Barcode Reader (SAS). The project addresses the lack of an automated attendance record-keeping application in colleges. It aims to replace manual registry books with a system where students and staff register attendance by scanning a barcode card. The system allows lecturers to track attendance, manage student/staff profiles, generate reports, and notify parents of absences, thereby improving efficiency and reducing paperwork.. The Student Attendance System (SAS) is a software solution designed to automate the daily attendance tracking process for students and staff at the university. It utilizes barcode scanning technology to record attendance in real-time, which is then stored in a centralized database. The system includes administrative modules for managing user profiles, generating attendance reports, and monitoring absenteeism, providing a more efficient and accurate alternative to manual record-keeping.",student attendance system using barcode reader sas . the project addresses the lack of an automated attendance record-keeping application in colleges. it aims to replace manual registry books with a system where students and staff register attendance by scanning a barcode card. the system allows lecturers to track attendance manage student/staff profiles generate reports and notify parents of absences thereby improving efficiency and reducing paperwork.. the student attendance system sas is a software solution designed to automate the daily attendance tracking process for students and staff at the university. it utilizes barcode scanning technology to record attendance in real-time which is then stored in a centralized database. the system includes administrative modules for managing user profiles generating attendance reports and monitoring absenteeism providing a more efficient and accurate alternative to manual record-keeping.,132,"['attendance record-keeping application', 'student attendance system', 'staff register attendance', 'application in colleges', 'attendance system sas', 'addresses the lack', 'barcode reader sas', 'project addresses']",60.85
219,,Student Attendance using QR Code,"Hoda Abd EL-Kader Abd EL-Aleem, Nada Abd EL-Hay Fathalla, Eshraq Ehab Haggag, Laila Mohamed Safwat, Amr Khaled Abd EL-Motelp, Mohamed Abd EL-Monem Khairy",2022,"The Student Attendance using QR Code project aims to modernize the traditional, time-consuming manual attendance process in academic institutions. By leveraging QR code technology, the system provides a secure, efficient, and automated method for tracking student presence in classrooms, thereby reducing administrative overhead and minimizing the potential for proxy attendance.","This project is a digital attendance management system designed for the Faculty of Computers and Artificial Intelligence at Benha University. It replaces paper-based attendance logs with a dynamic QR code scanning mechanism, allowing students to check in via their mobile devices while ensuring data integrity and real-time reporting for instructors.","Traditional manual attendance taking is inefficient, prone to human error, and susceptible to fraudulent practices such as proxy attendance. These methods consume valuable lecture time and create significant administrative burdens for faculty members when compiling attendance records.","The proposed solution is a robust software application that utilizes unique, time-sensitive QR codes displayed by instructors. Students scan these codes using their mobile devices to register their attendance instantly, with the data being securely transmitted to a centralized database for real-time monitoring and reporting.","1. Develop a scalable and maintainable solution.
2. Improve overall productivity and workflow optimization.
3. Enable real-time monitoring and tracking capabilities.
4. Support future scalability and feature expansion.
5. Implement intelligent AI-based functionalities.","Student Attendance using QR Code. The Student Attendance using QR Code project aims to modernize the traditional, time-consuming manual attendance process in academic institutions. By leveraging QR code technology, the system provides a secure, efficient, and automated method for tracking student presence in classrooms, thereby reducing administrative overhead and minimizing the potential for proxy attendance.. This project is a digital attendance management system designed for the Faculty of Computers and Artificial Intelligence at Benha University. It replaces paper-based attendance logs with a dynamic QR code scanning mechanism, allowing students to check in via their mobile devices while ensuring data integrity and real-time reporting for instructors.",student attendance using qr code. the student attendance using qr code project aims to modernize the traditional time-consuming manual attendance process in academic institutions. by leveraging qr code technology the system provides a secure efficient and automated method for tracking student presence in classrooms thereby reducing administrative overhead and minimizing the potential for proxy attendance.. this project is a digital attendance management system designed for the faculty of computers and artificial intelligence at benha university. it replaces paper-based attendance logs with a dynamic qr code scanning mechanism allowing students to check in via their mobile devices while ensuring data integrity and real-time reporting for instructors.,105,"['traditional time-consuming manual', 'time-consuming manual attendance', 'reducing administrative overhead', 'attendance management system', 'tracking student presence', 'student attendance', 'leveraging qr code', 'code project aims', 'proxy attendance.', 'code technology', 'dynamic qr code']",52.09
220,,Student Information Management System,"Eman Ahmed El-Sayed Salama, Asmaa Afify Mohamed Afify, Asmaa Moheey Ahmed",2019,"This project ""Student Information Management System"" provides us a simple interface for maintenance of student information. It can be used by educational institutes or colleges to maintain the records of students easily. Achieving this objective is difficult using a manual system as the information is scattered, can be redundant and collecting relevant information may be very time consuming. All these problems are solved using this project. Throughout the project the focus has been on presenting information in an easy and intelligible manner. The project provides facilities like online registration and profile creation of students thus reducing paperwork and automating the record generation process in an educational institution.","The Student Information Management System is a web-based application designed to centralize and streamline the storage and retrieval of student data. It includes modules for user authentication, student record management, search functionality, and online registration, replacing traditional paper-based methods with a digital, efficient interface.","Educational institutions often struggle with manual record-keeping, which leads to scattered, redundant, and time-consuming data management processes that make it difficult to quickly access or update student information.","A centralized web-based information system that automates student data management, provides secure login authentication, enables efficient searching of student records, and facilitates online registration and profile management.","1. Improve overall productivity and workflow optimization.
2. Optimize resource allocation and task management.
3. Implement modern technologies and best practices.
4. Improve accessibility across different devices and platforms.
5. Develop a responsive and user-friendly web application.
6. Support future scalability and feature expansion.
7. Enhance user experience and usability.
8. Provide interactive educational tools and resources.","Student Information Management System. This project ""Student Information Management System"" provides us a simple interface for maintenance of student information. It can be used by educational institutes or colleges to maintain the records of students easily. Achieving this objective is difficult using a manual system as the information is scattered, can be redundant and collecting relevant information may be very time consuming. All these problems are solved using this project. Throughout the project the focus has been on presenting information in an easy and intelligible manner. The project provides facilities like online registration and profile creation of students thus reducing paperwork and automating the record generation process in an educational institution.. The Student Information Management System is a web-based application designed to centralize and streamline the storage and retrieval of student data. It includes modules for user authentication, student record management, search functionality, and online registration, replacing traditional paper-based methods with a digital, efficient interface.",student information management system. this project student information management system provides us a simple interface for maintenance of student information. it can be used by educational institutes or colleges to maintain the records of students easily. achieving this objective is difficult using a manual system as the information is scattered can be redundant and collecting relevant information may be very time consuming. all these problems are solved using this project. throughout the project the focus has been on presenting information in an easy and intelligible manner. the project provides facilities like online registration and profile creation of students thus reducing paperwork and automating the record generation process in an educational institution.. the student information management system is a web-based application designed to centralize and streamline the storage and retrieval of student data. it includes modules for user authentication student record management search functionality and online registration replacing traditional paper-based methods with a digital efficient interface.,155,"['student information management', 'information management system', 'project student information', 'student record management', 'online registration']",55.76
221,,Student Management System,"Mustafa Medhat Mohammed Salem, Ahmed Mohamed Tawfik, Ahmed AbdElfatah Mohammed, Karim Sabry Mohamed, Ahmed Bekheit Farghaly, Esmail Ebrahim Eldesoky",2025,"The Student Management System is a comprehensive web-based application developed to enhance the management of academic activities within educational institutions. This system addresses the needs of three main stakeholders: students, doctors (instructors), and administrators by offering tailored features for each role. For students, the system provides tools to register, log in, enroll in subjects, select departments, view lecture and exam schedules, and manage capstone project submissions including team formation, idea submission, and progress tracking. Doctors can upload lecture and exam schedules, define departments and subjects, schedule quizzes, and manage student grades. Administrators are granted full access to oversee, edit, and manage all data and users within the system. The primary goal of this system is to digitize and streamline academic workflows, reduce manual interventions, improve communication among stakeholders, and ensure accurate tracking of academic records and capstone project progress.","A modern, full-stack web application designed to digitize and streamline academic processes. The system features a 3-tier architecture separating the user interface, business logic, and data management layers. It includes AI-driven features such as facial expression and head pose data collection for monitoring student engagement. The platform supports three distinct user roles—students, instructors, and administrators—each with a dedicated dashboard to manage their respective academic responsibilities, from course enrollment and scheduling to capstone project tracking.","Educational institutions often rely on manual or fragmented systems for managing student activities, course enrollment, schedules, exams, and capstone projects. This leads to inefficient communication, manual data entry errors, lack of centralized control, difficulty in tracking project progress, and delays in administrative tasks, ultimately affecting the performance and satisfaction of both students and staff.","A centralized, web-based Student Management System that automates academic operations. The solution provides role-specific dashboards for students, instructors, and administrators, ensuring secure, real-time access to information. It integrates modern web technologies to streamline workflows, improve communication, and provide a scalable, user-friendly platform for managing all academic data.","1. Improve decision-making using artificial intelligence techniques.
2. Improve overall productivity and workflow optimization.
3. Optimize resource allocation and task management.
4. Improve tracking accuracy and operational visibility.
5. Enhance user experience and usability.
6. Support future scalability and feature expansion.
7. Develop a responsive and user-friendly web application.","Student Management System. The Student Management System is a comprehensive web-based application developed to enhance the management of academic activities within educational institutions. This system addresses the needs of three main stakeholders: students, doctors (instructors), and administrators by offering tailored features for each role. For students, the system provides tools to register, log in, enroll in subjects, select departments, view lecture and exam schedules, and manage capstone project submissions including team formation, idea submission, and progress tracking. Doctors can upload lecture and exam schedules, define departments and subjects, schedule quizzes, and manage student grades. Administrators are granted full access to oversee, edit, and manage all data and users within the system. The primary goal of this system is to digitize and streamline academic workflows, reduce manual interventions, improve communication among stakeholders, and ensure accurate tracking of academic records and capstone project progress.. A modern, full-stack web application designed to digitize and streamline academic processes. The system features a 3-tier architecture separating the user interface, business logic, and data management layers. It includes AI-driven features such as facial expression and head pose data collection for monitoring student engagement. The platform supports three distinct user roles—students, instructors, and administrators—each with a dedicated dashboard to manage their respective academic responsibilities, from course enrollment and scheduling to capstone project tracking.",student management system. the student management system is a comprehensive web-based application developed to enhance the management of academic activities within educational institutions. this system addresses the needs of three main stakeholders students doctors instructors and administrators by offering tailored features for each role. for students the system provides tools to register log in enroll in subjects select departments view lecture and exam schedules and manage capstone project submissions including team formation idea submission and progress tracking. doctors can upload lecture and exam schedules define departments and subjects schedule quizzes and manage student grades. administrators are granted full access to oversee edit and manage all data and users within the system. the primary goal of this system is to digitize and streamline academic workflows reduce manual interventions improve communication among stakeholders and ensure accurate tracking of academic records and capstone project progress.. a modern full-stack web application designed to digitize and streamline academic processes. the system features a 3-tier architecture separating the user interface business logic and data management layers. it includes ai-driven features such as facial expression and head pose data collection for monitoring student engagement. the platform supports three distinct user roles students instructors and administrators each with a dedicated dashboard to manage their respective academic responsibilities from course enrollment and scheduling to capstone project tracking.,218,"['stakeholders students doctors', 'student management system', 'manage capstone project', 'manage student grades', 'streamline academic', 'lecture and exam', 'data management', 'exam schedules']",60.01
222,,Student Portal,"Mohamed Adel, Mahmoud Hegazy, Ali Ibrahim",2025,"The main objective of this project is to develop a comprehensive student intonmation management system that optimizes academic processes and enhances communication between students, faculty, and administrative staft. The system aims to achieve the following key objectives: Streamlining Academic Process Management Automate course and training registration to reduce time and effort for students. Simplify academic procedures and minimize administrative workload. . Enhancing Communication with Student Affairs Provide a direct chat system between students and administration for faster issue resolution. Reduce the need for physical visits and long response times. Providing Easy Access to Academic Results and GPA Allow students to view their grades, GPA, and cumulative academic records in real-time. Generate academic reports and transcripts with minimal effort. Simplifying the Department Selection Process Offer detailed information on departments and faculty members to help students make inform decisions. Include a quiz-based recommendation system to suggest the most suitable department based on student preferences. Improving Faculty and Administrative Efficiency Enable professors to easily input grades, track student performance, and generate reports. Allow administrators to efficiently manage courses, training programs, students, and faculty r 5","This project aims to enhance the academic experience for students, faculty members, and administrative through a comprehensive digital systerm. The system facilitates university processes such as course registration and summer training, reducing administrative workload and allowing students to focus more their studies. Introduction Project description The project offers several features, including personalized department recommendations based on studen interests, automated grade and GPA calculations, and easy access to academic reports. Additionally, it enables seamless communication between students and the administration through a built-in messaging system, improving overall efficiency within the university. This project is a pivotal tool for enhancing the academic experience of students, faculty, For Students: and administrative staff. By offering streamlined processes for course registration and summer trainin the system significantly reduces time consuming administrative tasks, allowing students to focus mor their studies. Key features include personalized Department recommendations and automated grade a GPA calculations, which empower students to make informed decisions about their academic paths. Efficient Course and Training Registration: Simplifies the process of registering for cours and summer training, saving time and effort. Comprehensive Academic Information: Enables students to easily grades, GPA calculation: and academic transcripts.","Users often face difficulties accessing services and obtaining relevant information quickly and efficiently. In addition, poor communication channels between key stakeholders can lead to delays, misunderstandings, weak coordination, and reduced overall operational effectiveness.","The main objective of this project is to develop a comprehensive student intonmation management  system that optimizes academic processes and enhances communication between students, faculty, and administrative staft. The system aims to achieve the following key objectives:  Streamlining Academic Process Management  Automate course and training registration to reduce time and effort for students.","1. Improve decision-making using artificial intelligence techniques.
2. Optimize resource allocation and task management.
3. Improve overall productivity and workflow optimization.
4. Reduce operational complexity and improve efficiency.
5. Improve system performance and reliability.
6. Develop a scalable and maintainable solution.
7. Improve workflow and management efficiency.","Student Portal. The main objective of this project is to develop a comprehensive student intonmation management system that optimizes academic processes and enhances communication between students, faculty, and administrative staft. The system aims to achieve the following key objectives: Streamlining Academic Process Management Automate course and training registration to reduce time and effort for students. Simplify academic procedures and minimize administrative workload. . Enhancing Communication with Student Affairs Provide a direct chat system between students and administration for faster issue resolution. Reduce the need for physical visits and long response times. Providing Easy Access to Academic Results and GPA Allow students to view their grades, GPA, and cumulative academic records in real-time. Generate academic reports and transcripts with minimal effort. Simplifying the Department Selection Process Offer detailed information on departments and faculty members to help students make inform decisions. Include a quiz-based recommendation system to suggest the most suitable department based on student preferences. Improving Faculty and Administrative Efficiency Enable professors to easily input grades, track student performance, and generate reports. Allow administrators to efficiently manage courses, training programs, students, and faculty r 5. This project aims to enhance the academic experience for students, faculty members, and administrative through a comprehensive digital systerm. The system facilitates university processes such as course registration and summer training, reducing administrative workload and allowing students to focus more their studies. Introduction Project description The project offers several features, including personalized department recommendations based on studen interests, automated grade and GPA calculations, and easy access to academic reports. Additionally, it enables seamless communication between students and the administration through a built-in messaging system, improving overall efficiency within the university. This project is a pivotal tool for enhancing the academic experience of students, faculty, For Students: and administrative staff. By offering streamlined processes for course registration and summer trainin the system significantly reduces time consuming administrative tasks, allowing students to focus mor their studies. Key features include personalized Department recommendations and automated grade a GPA calculations, which empower students to make informed decisions about their academic paths. Efficient Course and Training Registration: Simplifies the process of registering for cours and summer training, saving time and effort. Comprehensive Academic Information: Enables students to easily grades, GPA calculation: and academic transcripts.",student portal. the main objective of this project is to develop a comprehensive student intonmation management system that optimizes academic processes and enhances communication between students faculty and administrative staft. the system aims to achieve the following key objectives streamlining academic process management automate course and training registration to reduce time and effort for students. simplify academic procedures and minimize administrative workload. . enhancing communication with student affairs provide a direct chat system between students and administration for faster issue resolution. reduce the need for physical visits and long response times. providing easy access to academic results and gpa allow students to view their grades gpa and cumulative academic records in real-time. generate academic reports and transcripts with minimal effort. simplifying the department selection process offer detailed information on departments and faculty members to help students make inform decisions. include a quiz-based recommendation system to suggest the most suitable department based on student preferences. improving faculty and administrative efficiency enable professors to easily input grades track student performance and generate reports. allow administrators to efficiently manage courses training programs students and faculty r 5. this project aims to enhance the academic experience for students faculty members and administrative through a comprehensive digital systerm. the system facilitates university processes such as course registration and summer training reducing administrative workload and allowing students to focus more their studies. introduction project description the project offers several features including personalized department recommendations based on studen interests automated grade and gpa calculations and easy access to academic reports. additionally it enables seamless communication between students and the administration through a built-in messaging system improving overall efficiency within the university. this project is a pivotal tool for enhancing the academic experience of students faculty for students and administrative staff. by offering streamlined processes for course registration and summer trainin the system significantly reduces time consuming administrative tasks allowing students to focus mor their studies. key features include personalized department recommendations and automated grade a gpa calculations which empower students to make informed decisions about their academic paths. efficient course and training registration simplifies the process of registering for cours and summer training saving time and effort. comprehensive academic information enables students to easily grades gpa calculation and academic transcripts.,373,"['student intonmation management', 'allowing students', 'students faculty', 'academic reports', 'student portal']",60.8
223,,Student portal web based Information System for Student At BFCAI,"Rahma Fathy Mostafa Moustafa El-Sonbaty, Ahmed Adel Mohamed Abdallah, Reham Sobhy Hamdy Mohamed, Mohamed Hamed Abdelaziz, Omar Samir Ibrahim Mohamed, Ahmed Galal Eldin Mohamed El-Samanoudy, Rewan Saeed Mohamed Hekal, Mostafa Mohamed Fathy Abu El-Ezz, Mohamed Hany Ahmed",2024,"The project aims to serve several people by making their lives easier, simplifying university processes, saving time, and reducing congestion. The project helps Students: register for their courses, choose the appropriate department after reading detailed information about it, understand the courses offered and the faculty members, register for training, and find out if the training is suitable for them. Students can also view their semester grades and academic transcripts(?????), easily communicate with student affairs via chat, extract a PDF report of registered courses, academic transcript and semester grades and generate a QR code for each student to facilitate the attendance process. Admin (Student Affairs): Add students, training, courses, faculty members, and new semesters. Extract comprehensive reports on students, courses, faculty members, and semesters in the system. Easily respond to student messages. View settings. Search engine to search for students, training, courses, faculty members, and semesters. Super admin (Senior Management): Full control over the system settings. CRUD new admins, where the admin can add everyone as previously mentioned. Adjust student grades in case of errors and view the list of students whose grades have been adjusted. Search engine to search for admins and previous grades. Instructor (Faculty Members): Know the courses or training they are teaching, and the students enrolled in them. Add student grades and extract a report of student grades after adding them. Use a scanner to read the students' QR codes and extract a PDF with the names of attending students, which makes the attendance process accurate and efficient.","This project is a pivotal tool for enhancing the academic experience of students, faculty, and administrative staff. By offering streamlined processes for course registration and summer training, the system significantly reduces time-consuming administrative tasks, allowing students to focus more on their studies. Key features include personalized Department recommendations and automated grade and GPA calculations, which empower students to make informed decisions about their academic paths.","Traditional university processes are often characterized by significant inefficiencies, time-consuming manual administrative tasks, and a lack of seamless communication channels between students, faculty, and administration. These challenges lead to bureaucratic hurdles, congestion, and difficulties for students in navigating academic procedures, accessing vital information, and resolving inquiries promptly. The current system hinders efficient academic process management and negatively impacts the overall academic experience.","This project proposes a comprehensive web-based Information System designed to automate and streamline various academic and administrative operations for students, faculty, and staff. The system provides functionalities such as online course registration, personalized department recommendations, efficient grade management, and a dedicated chat system for improved communication with student affairs. Furthermore, it incorporates QR code-based attendance tracking and PDF report generation, significantly reducing manual effort, enhancing data accessibility, and improving overall operational efficiency within the university environment.","1. Enhance user experience and usability.
2. Optimize resource allocation and task management.
3. Support future scalability and feature expansion.
4. Improve workflow and management efficiency.
5. Improve overall productivity and workflow optimization.","Student portal web based Information System for Student At BFCAI. The project aims to serve several people by making their lives easier, simplifying university processes, saving time, and reducing congestion. The project helps Students: register for their courses, choose the appropriate department after reading detailed information about it, understand the courses offered and the faculty members, register for training, and find out if the training is suitable for them. Students can also view their semester grades and academic transcripts(?????), easily communicate with student affairs via chat, extract a PDF report of registered courses, academic transcript and semester grades and generate a QR code for each student to facilitate the attendance process. Admin (Student Affairs): Add students, training, courses, faculty members, and new semesters. Extract comprehensive reports on students, courses, faculty members, and semesters in the system. Easily respond to student messages. View settings. Search engine to search for students, training, courses, faculty members, and semesters. Super admin (Senior Management): Full control over the system settings. CRUD new admins, where the admin can add everyone as previously mentioned. Adjust student grades in case of errors and view the list of students whose grades have been adjusted. Search engine to search for admins and previous grades. Instructor (Faculty Members): Know the courses or training they are teaching, and the students enrolled in them. Add student grades and extract a report of student grades after adding them. Use a scanner to read the students' QR codes and extract a PDF with the names of attending students, which makes the attendance process accurate and efficient.. This project is a pivotal tool for enhancing the academic experience of students, faculty, and administrative staff. By offering streamlined processes for course registration and summer training, the system significantly reduces time-consuming administrative tasks, allowing students to focus more on their studies. Key features include personalized Department recommendations and automated grade and GPA calculations, which empower students to make informed decisions about their academic paths.",student portal web based information system for student at bfcai. the project aims to serve several people by making their lives easier simplifying university processes saving time and reducing congestion. the project helps students register for their courses choose the appropriate department after reading detailed information about it understand the courses offered and the faculty members register for training and find out if the training is suitable for them. students can also view their semester grades and academic transcripts easily communicate with student affairs via chat extract a pdf report of registered courses academic transcript and semester grades and generate a qr code for each student to facilitate the attendance process. admin student affairs add students training courses faculty members and new semesters. extract comprehensive reports on students courses faculty members and semesters in the system. easily respond to student messages. view settings. search engine to search for students training courses faculty members and semesters. super admin senior management full control over the system settings. crud new admins where the admin can add everyone as previously mentioned. adjust student grades in case of errors and view the list of students whose grades have been adjusted. search engine to search for admins and previous grades. instructor faculty members know the courses or training they are teaching and the students enrolled in them. add student grades and extract a report of student grades after adding them. use a scanner to read the students qr codes and extract a pdf with the names of attending students which makes the attendance process accurate and efficient.. this project is a pivotal tool for enhancing the academic experience of students faculty and administrative staff. by offering streamlined processes for course registration and summer training the system significantly reduces time-consuming administrative tasks allowing students to focus more on their studies. key features include personalized department recommendations and automated grade and gpa calculations which empower students to make informed decisions about their academic paths.,326,"['based information system', 'web based information', 'student portal web', 'portal web based', 'faculty members', 'semester grades', 'student grades']",62.9
224,,TAWSYLA: Mobile Application for Sharing One Car,"Asmaa Mohamed Sorour, Esraa Ahmed Abd Elmawgoud, Hossam Saeed Soliman, Hassan Shaban Farhat, Khaled Mamdouh, Mohamed El tantawey, Refaat Gamal Refaat",2024,"Carpooling is one of the latest technologies discovered which has made travelling convenient and efficient to the common man. It also known as car sharing in which one can travel to their destination while sharing the vehicle and the expenses incurred. Hence fuel costs, tolls and the stress of driving will be reduced when more people travel together in one vehicle. Tawsyla is an environment friendly app and we can save our mother nature by using this app. It also helps in reducing traffic congestion, and other poisonous gases in the air. We can save a lot of space in the Parking lot. During high fuel prices and high pollution periods, making use of the carpooling system is an intelligent decision. In our application, we will make an Android based application that will allow passengers to collaborate with other like-minded people and plan out their journey using the easy UI of the app after signing in to it. People will be able to share expenses and not worry about reaching late while making new connections.","Tawsyla is an Android-based carpooling application designed to connect car owners with passengers traveling in the same direction. The platform allows users to register, request rides, and share travel expenses, aiming to reduce the number of private vehicles on the road.","An overabundance of cars on the road leads to increased traffic congestion, parking shortages, environmental pollution, and high fuel consumption, creating a significant public concern.","A mobile application that facilitates carpooling by matching drivers and passengers heading to the same destinations (such as workplaces or schools), thereby reducing the number of vehicles on the road and sharing travel costs.","1. Reduce operational complexity and improve efficiency.
2. Develop a scalable and maintainable solution.
3. Improve overall productivity and workflow optimization.
4. Implement intelligent AI-based functionalities.
5. Implement modern technologies and best practices.
6. Support future scalability and feature expansion.
7. Provide accurate and reliable functionality.","TAWSYLA: Mobile Application for Sharing One Car. Carpooling is one of the latest technologies discovered which has made travelling convenient and efficient to the common man. It also known as car sharing in which one can travel to their destination while sharing the vehicle and the expenses incurred. Hence fuel costs, tolls and the stress of driving will be reduced when more people travel together in one vehicle. Tawsyla is an environment friendly app and we can save our mother nature by using this app. It also helps in reducing traffic congestion, and other poisonous gases in the air. We can save a lot of space in the Parking lot. During high fuel prices and high pollution periods, making use of the carpooling system is an intelligent decision. In our application, we will make an Android based application that will allow passengers to collaborate with other like-minded people and plan out their journey using the easy UI of the app after signing in to it. People will be able to share expenses and not worry about reaching late while making new connections.. Tawsyla is an Android-based carpooling application designed to connect car owners with passengers traveling in the same direction. The platform allows users to register, request rides, and share travel expenses, aiming to reduce the number of private vehicles on the road.",tawsyla mobile application for sharing one car. carpooling is one of the latest technologies discovered which has made travelling convenient and efficient to the common man. it also known as car sharing in which one can travel to their destination while sharing the vehicle and the expenses incurred. hence fuel costs tolls and the stress of driving will be reduced when more people travel together in one vehicle. tawsyla is an environment friendly app and we can save our mother nature by using this app. it also helps in reducing traffic congestion and other poisonous gases in the air. we can save a lot of space in the parking lot. during high fuel prices and high pollution periods making use of the carpooling system is an intelligent decision. in our application we will make an android based application that will allow passengers to collaborate with other like-minded people and plan out their journey using the easy ui of the app after signing in to it. people will be able to share expenses and not worry about reaching late while making new connections.. tawsyla is an android-based carpooling application designed to connect car owners with passengers traveling in the same direction. the platform allows users to register request rides and share travel expenses aiming to reduce the number of private vehicles on the road.,223,"['latest technologies discovered', 'tawsyla mobile application', 'made travelling convenient', 'car sharing', 'common man']",96.65
225,,The Double Helix Detective <DNA Testing System>,"Aya Ayman Fahim, Dina Ahmed Emam, Esraa Mohamed Abdel-Hafiz, Mohamed Abdel-Aziz Issa, Mohamed Hamza Adam, Mariam Hesham Mohamed, Rodina Ibrahim Mohamedi",2024,"The Double Helix Detective is an integrated system designed to address challenges in paternity testing, missing persons identification, and forensic science. By leveraging DNA analysis, machine learning algorithms, and a secure, user-friendly interface, the system provides a robust platform for DNA matching and data management. It aims to overcome current limitations in accuracy and efficiency by fostering collaboration and secure data sharing among relevant entities, ultimately assisting in family reunification and criminal investigations.","This project is a comprehensive DNA testing and analysis system that serves as a central database for genetic information. It utilizes machine learning to enhance the accuracy of DNA matching and provides a secure environment for storing and processing sensitive genetic data. The system is designed to assist forensic departments and researchers in identifying individuals, solving criminal cases, and reuniting families through advanced computational biology techniques.","There is a lack of a centralized, secure database for DNA analysis to assist in identifying missing persons, solving crimes, and conducting paternity testing. Current methods face challenges in accuracy, efficiency, and the secure handling of sensitive genetic information, making it difficult for forensic departments to process cases effectively.","The project proposes an integrated web-based system that uses machine learning and bioinformatics tools (like Biopython) to automate and improve the accuracy of DNA sequence alignment and matching. It provides a secure platform for collecting and managing DNA data, facilitating faster identification processes for forensic evidence and family reunification.","1. Implement intelligent AI-based functionalities.
2. Provide efficient data analysis and reporting features.
3. Develop a scalable and maintainable solution.
4. Improve system performance and reliability.
5. Improve decision-making using artificial intelligence techniques.
6. Support future scalability and feature expansion.
7. Improve workflow and management efficiency.
8. Reduce operational complexity and improve efficiency.","The Double Helix Detective <DNA Testing System>. The Double Helix Detective is an integrated system designed to address challenges in paternity testing, missing persons identification, and forensic science. By leveraging DNA analysis, machine learning algorithms, and a secure, user-friendly interface, the system provides a robust platform for DNA matching and data management. It aims to overcome current limitations in accuracy and efficiency by fostering collaboration and secure data sharing among relevant entities, ultimately assisting in family reunification and criminal investigations.. This project is a comprehensive DNA testing and analysis system that serves as a central database for genetic information. It utilizes machine learning to enhance the accuracy of DNA matching and provides a secure environment for storing and processing sensitive genetic data. The system is designed to assist forensic departments and researchers in identifying individuals, solving criminal cases, and reuniting families through advanced computational biology techniques.",the double helix detective dna testing system . the double helix detective is an integrated system designed to address challenges in paternity testing missing persons identification and forensic science. by leveraging dna analysis machine learning algorithms and a secure user-friendly interface the system provides a robust platform for dna matching and data management. it aims to overcome current limitations in accuracy and efficiency by fostering collaboration and secure data sharing among relevant entities ultimately assisting in family reunification and criminal investigations.. this project is a comprehensive dna testing and analysis system that serves as a central database for genetic information. it utilizes machine learning to enhance the accuracy of dna matching and provides a secure environment for storing and processing sensitive genetic data. the system is designed to assist forensic departments and researchers in identifying individuals solving criminal cases and reuniting families through advanced computational biology techniques.,147,"['missing persons identification', 'secure user-friendly interface', 'machine learning algorithms', 'integrated system designed', 'paternity testing missing', 'testing missing persons', 'leveraging dna analysis', 'challenges in paternity', 'double helix detective', 'science. by leveraging', 'detective dna testing', 'helix detective dna', 'secure data sharing', 'address challenges', 'robust platform']",94.83
226,,THE HERO DENTIST,"Fatma Abdeen Hamed, Aya Magdy Abd El Rahman, Khloud Mohamed Mansour, Sahr Abd El Aziz Abdullah, Hassan Sabry Hassan, Mohamed Gamal Abd El All",2019,"This documentation explains the basic principles of virtual reality technology and the best ways to apply it into different applications. We use the VR (Virtual Reality) system in our project to make dental treatment for children simpler and easier for all dentists, and reduce children's fears of dentists. We are creating a VR experience for children with dental phobia to help them overcome their fears. The experience is divided into two parts: a game the child plays in the waiting room to become familiar with dental tools, and a cartoon/video experience during the session to provide a mental distraction and help the child feel calm.","The Hero Dentist is a VR-based medicinal application designed to alleviate dental phobia in children. By utilizing immersion, imagination, and interaction, the system provides a gamified environment where children can learn about dental hygiene, interact with virtual tools, and watch calming content during dental procedures to reduce anxiety and pain perception.","Many children suffer from dental phobia, which makes routine dental visits difficult, stressful, and traumatic for both the child and the dentist.",A virtual reality application that uses gamification and distraction techniques. It includes an interactive game to familiarize children with dental tools and a calming video environment to distract them during actual dental procedures.,"1. Improve system performance and reliability.
2. Support future scalability and feature expansion.
3. Provide accurate and reliable functionality.
4. Improve overall productivity and workflow optimization.
5. Develop a scalable and maintainable solution.
6. Enhance user experience and usability.
7. Implement modern technologies and best practices.
8. Reduce operational complexity and improve efficiency.","THE HERO DENTIST. This documentation explains the basic principles of virtual reality technology and the best ways to apply it into different applications. We use the VR (Virtual Reality) system in our project to make dental treatment for children simpler and easier for all dentists, and reduce children's fears of dentists. We are creating a VR experience for children with dental phobia to help them overcome their fears. The experience is divided into two parts: a game the child plays in the waiting room to become familiar with dental tools, and a cartoon/video experience during the session to provide a mental distraction and help the child feel calm.. The Hero Dentist is a VR-based medicinal application designed to alleviate dental phobia in children. By utilizing immersion, imagination, and interaction, the system provides a gamified environment where children can learn about dental hygiene, interact with virtual tools, and watch calming content during dental procedures to reduce anxiety and pain perception.",the hero dentist. this documentation explains the basic principles of virtual reality technology and the best ways to apply it into different applications. we use the vr virtual reality system in our project to make dental treatment for children simpler and easier for all dentists and reduce children s fears of dentists. we are creating a vr experience for children with dental phobia to help them overcome their fears. the experience is divided into two parts a game the child plays in the waiting room to become familiar with dental tools and a cartoon/video experience during the session to provide a mental distraction and help the child feel calm.. the hero dentist is a vr-based medicinal application designed to alleviate dental phobia in children. by utilizing immersion imagination and interaction the system provides a gamified environment where children can learn about dental hygiene interact with virtual tools and watch calming content during dental procedures to reduce anxiety and pain perception.,160,"['virtual reality technology', 'virtual reality system', 'documentation explains', 'make dental treatment', 'explains the basic', 'dental phobia', 'virtual tools', 'hero dentist']",100.0
227,,Top Gear,"Omar Hany Mahmoud,
Yassin Ahmed Fathy,
Kareem Wael Hassan,
Mostafa Samir Ibrahim,
Badr Khaled Ali,
Hussein Tamer Mohamed,
Zeyad Adel Sherif",2016,"This project explores the development of a 3D interactive game utilizing the Microsoft Kinect camera for motion-based input. By leveraging the Unity game engine, the project demonstrates how modern game development tools can streamline the creation of immersive experiences, allowing for natural user interaction without traditional controllers.","Top Gear is a 3D game project developed as a graduation submission at Benha University. The project focuses on integrating motion-sensing technology (Kinect) with a 3D game environment to provide a unique, controller-free gaming experience. It covers the implementation of game engine components, including physics, input handling, and graphical user interfaces.","Traditional gaming often relies on standard controllers, which can limit immersion and accessibility. There is a need to explore more intuitive, natural user interfaces for 3D gaming environments.","The project implements a 3D game using the Unity engine and integrates the Microsoft Kinect camera as a motion-sensing input device, allowing players to interact with the game world through physical movement.","1. Implement modern technologies and best practices.
2. Support future scalability and feature expansion.
3. Provide accurate and reliable functionality.
4. Improve system performance and reliability.
5. Improve overall productivity and workflow optimization.","Top Gear. This project explores the development of a 3D interactive game utilizing the Microsoft Kinect camera for motion-based input. By leveraging the Unity game engine, the project demonstrates how modern game development tools can streamline the creation of immersive experiences, allowing for natural user interaction without traditional controllers.. Top Gear is a 3D game project developed as a graduation submission at Benha University. The project focuses on integrating motion-sensing technology (Kinect) with a 3D game environment to provide a unique, controller-free gaming experience. It covers the implementation of game engine components, including physics, input handling, and graphical user interfaces.",top gear. this project explores the development of a 3d interactive game utilizing the microsoft kinect camera for motion-based input. by leveraging the unity game engine the project demonstrates how modern game development tools can streamline the creation of immersive experiences allowing for natural user interaction without traditional controllers.. top gear is a 3d game project developed as a graduation submission at benha university. the project focuses on integrating motion-sensing technology kinect with a 3d game environment to provide a unique controller-free gaming experience. it covers the implementation of game engine components including physics input handling and graphical user interfaces.,100,"['immersive experiences allowing', 'interactive game utilizing', 'natural user interaction', 'traditional controllers.', 'modern game development', 'microsoft kinect camera', 'game development tools', 'game project developed', 'unity game engine', 'top gear']",100.0
228,,Tourism Guide and Egyptian Monuments Detector,"Abdelrahim Mohamed Abdelrahim Elshorbgy, Sherief Ayman Nagi, Abdullah Abdelnaser Ibrahim Ibrahim, Abdelaziem Mohamed Abdelaziem Hagag, Mahmoud Mohamed Salah Eldien, Yara Nasser Yassin Hassan",2020,"Museums are the places where we can reflect our ancient civilizations, and their life style in a traditional way. The world is moving towards digitization, and the traditional way of reflecting our ancient civilizations doesn't keep up with the technological improvement, so we came with an idea to connect the legacy of the past with the progress of the present. Main idea of this project (AR Museum) is to make visitors know all information they want to know about any object or monument in the museum by just using the application, it uses object recognition technology to recognize the objects and displaying all the information about them, and also make a restoration for the distorted objects or monuments by replacing the real object with a restored 3D model, to make a better visual experiment for the visitor, This project also concerned with locating the places of any monument in the museum using the technology of Indoor Tracking, it can work as tour guide for visitors and help them to find what they need and also can provide them with most visited places to help them to decide what they should visit.","The project is a mobile-based AR application designed to enhance the museum experience for visitors. It features an object recognition system that identifies monuments via the phone camera and provides detailed information through AR annotations. Additionally, it includes an indoor tracking and mapping system to guide visitors through the museum and help them locate specific artifacts.","Museum visitors often lack sufficient information about the monuments they are viewing, as traditional displays provide limited details. There is a need to digitize this information and provide an interactive, self-guided experience that allows visitors to learn about objects in real-time.",A mobile application that utilizes object recognition and augmented reality to identify museum artifacts and display comprehensive information. The system also includes an indoor navigation map and an admin interface for museum management to update object details and locations.,"1. Implement modern technologies and best practices.
2. Improve decision-making using artificial intelligence techniques.
3. Implement intelligent AI-based functionalities.
4. Create a mobile-friendly and accessible application.
5. Enhance user experience and usability.
6. Reduce operational complexity and improve efficiency.
7. Improve system performance and reliability.
8. Enable real-time monitoring and tracking capabilities.","Tourism Guide and Egyptian Monuments Detector. Museums are the places where we can reflect our ancient civilizations, and their life style in a traditional way. The world is moving towards digitization, and the traditional way of reflecting our ancient civilizations doesn't keep up with the technological improvement, so we came with an idea to connect the legacy of the past with the progress of the present. Main idea of this project (AR Museum) is to make visitors know all information they want to know about any object or monument in the museum by just using the application, it uses object recognition technology to recognize the objects and displaying all the information about them, and also make a restoration for the distorted objects or monuments by replacing the real object with a restored 3D model, to make a better visual experiment for the visitor, This project also concerned with locating the places of any monument in the museum using the technology of Indoor Tracking, it can work as tour guide for visitors and help them to find what they need and also can provide them with most visited places to help them to decide what they should visit.. The project is a mobile-based AR application designed to enhance the museum experience for visitors. It features an object recognition system that identifies monuments via the phone camera and provides detailed information through AR annotations. Additionally, it includes an indoor tracking and mapping system to guide visitors through the museum and help them locate specific artifacts.",tourism guide and egyptian monuments detector. museums are the places where we can reflect our ancient civilizations and their life style in a traditional way. the world is moving towards digitization and the traditional way of reflecting our ancient civilizations doesn t keep up with the technological improvement so we came with an idea to connect the legacy of the past with the progress of the present. main idea of this project ar museum is to make visitors know all information they want to know about any object or monument in the museum by just using the application it uses object recognition technology to recognize the objects and displaying all the information about them and also make a restoration for the distorted objects or monuments by replacing the real object with a restored 3d model to make a better visual experiment for the visitor this project also concerned with locating the places of any monument in the museum using the technology of indoor tracking it can work as tour guide for visitors and help them to find what they need and also can provide them with most visited places to help them to decide what they should visit.. the project is a mobile-based ar application designed to enhance the museum experience for visitors. it features an object recognition system that identifies monuments via the phone camera and provides detailed information through ar annotations. additionally it includes an indoor tracking and mapping system to guide visitors through the museum and help them locate specific artifacts.,254,"['object recognition technology', 'egyptian monuments detector', 'ancient civilizations doesn', 'object recognition system', 'reflect our ancient', 'indoor tracking', 'tourism guide']",85.41
229,,Tourism Promotion,"Abdelkhalik Sharawy Maysra, Alaa Atef Hassan, Asmaa Mohamed Elsayed, Mahmoud Gamal Mahmoud",2019,"Our idea is to design and develop a virtual reality application that aims to refresh tourism around the world, particularly in Egypt, through interactive and collaborative gaming. The application takes users from a real world to a virtual world through amazing stations and adventures that lead to four wonderful historical places in Egypt. The app is divided into two states: a downtown walk-through with a map for navigation, and a museum experience where users can explore historical pieces, play interactive games, and collect information about touristic sites.","This project is a free-to-play mobile application that utilizes virtual reality technology to promote tourism in Egypt. It features a virtual environment where users can explore historical sites, interact with 3D models, and participate in collaborative games. By gamifying the tourism experience, the project aims to increase cultural awareness and attract more tourists to visit Egypt in real life, thereby boosting the national economy.","The tourism sector in Egypt needs innovative ways to attract global interest and improve cultural awareness, as traditional methods of promotion may not fully engage younger or tech-savvy audiences.","A virtual reality mobile application that provides an immersive, interactive, and collaborative gaming experience. It allows users to virtually visit historical sites in Egypt, learn about their history through games, and gain descriptive information that encourages them to visit these locations in person.","1. Support future scalability and feature expansion.
2. Improve overall productivity and workflow optimization.
3. Implement intelligent AI-based functionalities.
4. Improve system performance and reliability.
5. Reduce operational complexity and improve efficiency.","Tourism Promotion. Our idea is to design and develop a virtual reality application that aims to refresh tourism around the world, particularly in Egypt, through interactive and collaborative gaming. The application takes users from a real world to a virtual world through amazing stations and adventures that lead to four wonderful historical places in Egypt. The app is divided into two states: a downtown walk-through with a map for navigation, and a museum experience where users can explore historical pieces, play interactive games, and collect information about touristic sites.. This project is a free-to-play mobile application that utilizes virtual reality technology to promote tourism in Egypt. It features a virtual environment where users can explore historical sites, interact with 3D models, and participate in collaborative games. By gamifying the tourism experience, the project aims to increase cultural awareness and attract more tourists to visit Egypt in real life, thereby boosting the national economy.",tourism promotion. our idea is to design and develop a virtual reality application that aims to refresh tourism around the world particularly in egypt through interactive and collaborative gaming. the application takes users from a real world to a virtual world through amazing stations and adventures that lead to four wonderful historical places in egypt. the app is divided into two states a downtown walk-through with a map for navigation and a museum experience where users can explore historical pieces play interactive games and collect information about touristic sites.. this project is a free-to-play mobile application that utilizes virtual reality technology to promote tourism in egypt. it features a virtual environment where users can explore historical sites interact with 3d models and participate in collaborative games. by gamifying the tourism experience the project aims to increase cultural awareness and attract more tourists to visit egypt in real life thereby boosting the national economy.,153,"['virtual reality application', 'virtual reality technology', 'utilizes virtual reality', 'explore historical', 'tourism promotion', 'users can explore', 'virtual world']",80.15
230,,Tourism Web Application,"Muhammed Fathi Moheb, Hany Ahmed Kamel, Mariam Gamal Hassan",2023,"Tourism is a vital source of income for Egypt, yet it has faced significant challenges due to political events and the COVID-19 pandemic. This project introduces a comprehensive web application designed to showcase Egyptian civilization, natural resources, and tourist monuments. The platform provides tourists with information on destinations, hotel services, and includes an interactive AI chatbot to answer queries and assist in planning customized trips based on user budget and time constraints.","The Tourism Web Application is a centralized platform for tourists visiting Egypt. It aggregates data on hotels, restaurants, museums, beaches, and archaeological sites, eliminating the need for users to navigate multiple websites. The system features an AI-driven chatbot for real-time assistance and a trip-planning engine that suggests itineraries based on specific user inputs such as destination, budget, and duration of stay.","Tourists often struggle with fragmented information when planning trips, leading to time-consuming searches across multiple platforms. Poor representation of services and lack of centralized, reliable data can result in negative impressions of tourist destinations, potentially discouraging travel.","A unified web application that consolidates tourism data, including hotels, landmarks, and local services. The solution incorporates an AI chatbot to provide interactive, personalized support and a trip-planning feature that generates travel suggestions based on user-defined constraints like budget and time.","1. Develop a responsive and user-friendly web application.
2. Improve decision-making using artificial intelligence techniques.
3. Reduce operational complexity and improve efficiency.
4. Improve system performance and reliability.
5. Improve overall productivity and workflow optimization.
6. Improve accessibility across different devices and platforms.
7. Implement modern technologies and best practices.","Tourism Web Application. Tourism is a vital source of income for Egypt, yet it has faced significant challenges due to political events and the COVID-19 pandemic. This project introduces a comprehensive web application designed to showcase Egyptian civilization, natural resources, and tourist monuments. The platform provides tourists with information on destinations, hotel services, and includes an interactive AI chatbot to answer queries and assist in planning customized trips based on user budget and time constraints.. The Tourism Web Application is a centralized platform for tourists visiting Egypt. It aggregates data on hotels, restaurants, museums, beaches, and archaeological sites, eliminating the need for users to navigate multiple websites. The system features an AI-driven chatbot for real-time assistance and a trip-planning engine that suggests itineraries based on specific user inputs such as destination, budget, and duration of stay.",tourism web application. tourism is a vital source of income for egypt yet it has faced significant challenges due to political events and the covid-19 pandemic. this project introduces a comprehensive web application designed to showcase egyptian civilization natural resources and tourist monuments. the platform provides tourists with information on destinations hotel services and includes an interactive ai chatbot to answer queries and assist in planning customized trips based on user budget and time constraints.. the tourism web application is a centralized platform for tourists visiting egypt. it aggregates data on hotels restaurants museums beaches and archaeological sites eliminating the need for users to navigate multiple websites. the system features an ai-driven chatbot for real-time assistance and a trip-planning engine that suggests itineraries based on specific user inputs such as destination budget and duration of stay.,136,"['comprehensive web application', 'faced significant challenges', 'significant challenges due', 'web application designed', 'tourism web application', 'source of income', 'due to political', 'political events', 'vital source']",76.29
231,,Towards Digital Transformation for Education,"Ali Saber Ali, Abdalmonem Anwar Abdalmonem, Shawky Sobhy Gouda, Wagih Mohamed Gamal, Muhamed Muhamed Abdulsalam, Mohamed Gamal",2023,"In the era of digital transformation, education has undergone a significant revolution, redefining traditional learning methods. This project aims to contribute to this transformation by leveraging the power of artificial intelligence (AI) to enhance various aspects of education. The primary focus lies in the development and implementation of AI features such as essay grading, text summarization, sentiment analysis, and toxic comment classification. The project's core objective is to create an AI-powered essay grading system that automates the grading process, providing students with timely and consistent feedback on their assignments. By employing natural language processing techniques and machine learning algorithms, the system analyses essays for grammar, structure, coherence, and content relevance. This facilitates personalized learning experiences by enabling students to identify their strengths and areas for improvement. Furthermore, the project incorporates text summarization techniques to assist students in extracting crucial information from lengthy texts efficiently. By identifying key concepts and generating concise summaries, students can enhance their comprehension and effectively manage information overload. To promote a supportive learning environment, sentiment analysis is integrated, allowing educators to gain insights into students' emotional states and engagement levels. This valuable information enables targeted support and interventions tailored to individual students' needs, fostering a conducive learning atmosphere. In addition, the project implements a toxic comment classifier to create a safe and respectful online learning environment. The system automatically detects and flags toxic or abusive comments, fostering a positive and inclusive online community for students to engage in meaningful discussions. By developing and implementing these AI features, this project aims to enhance the learning experience, provide personalized support, and foster a safe online environment. Through the utilization of AI, it contributes to the ongoing digital transformation of education, empowering students and supporting educators in creating a more efficient, inclusive, and engaging educational landscape.","In an era characterized by rapid technological advancements, the digital transformation of various sectors has become an imperative for progress. One area where digital transformation holds immense potential is education. The integration of technology and artificial intelligence (AI) in education has the power to revolutionize traditional learning approaches, enhance student engagement, and provide personalized learning experiences. This project, titled ""Towards Digital Transformation of Education, "" aims to contribute to this paradigm shift by developing and implementing AI features that address key challenges in the education sector and explore the potential of artificial intelligence (AI) to facilitate this transformation and unlock new possibilities in the field of education. Education is a fundamental pillar of society, shaping the minds and futures of individuals. In the age of technological advancements, the field of education stands on the brink of a significant transformation. The integration of artificial intelligence (AI) has the potential to revolutionize traditional educational practices, offering new opportunities for personalized learning, efficient assessment, and improved student engagement. Education is considered the cornerstone of personal and societal growth, enabling individuals to acquire knowledge, develop skills, and pursue their aspirations. In the era of digitalization, there is a pressing need to embrace technology to revolutionize traditional educational practices and adapt to the evolving needs of learners.","The traditional education system faces several challenges that can hinder effective learning and student engagement. One of the main problems is the lack of personalized feedback and timely assessments. Students often must wait for extended periods to receive feedback on their assignments, which hampers their ability to address areas of improvement promptly. Additionally, teachers face an enormous workload in manually grading many assignments, leading to delays in providing feedback.","The project proposes an AI-powered system that integrates several key features to address educational challenges. This includes an automated essay grading system utilizing natural language processing and machine learning to provide timely and consistent feedback on assignments. Additionally, it incorporates text summarization for efficient information extraction, sentiment analysis to gauge student emotional states, and a toxic comment classifier to ensure a safe and respectful online learning environment. These AI features collectively aim to enhance learning experiences and support educators.","1. Improve learning experience and educational accessibility.
2. Implement intelligent AI-based functionalities.
3. Provide efficient data analysis and reporting features.
4. Reduce operational complexity and improve efficiency.
5. Improve overall productivity and workflow optimization.
6. Provide accurate and reliable functionality.
7. Support future scalability and feature expansion.
8. Provide interactive educational tools and resources.","Towards Digital Transformation for Education. In the era of digital transformation, education has undergone a significant revolution, redefining traditional learning methods. This project aims to contribute to this transformation by leveraging the power of artificial intelligence (AI) to enhance various aspects of education. The primary focus lies in the development and implementation of AI features such as essay grading, text summarization, sentiment analysis, and toxic comment classification. The project's core objective is to create an AI-powered essay grading system that automates the grading process, providing students with timely and consistent feedback on their assignments. By employing natural language processing techniques and machine learning algorithms, the system analyses essays for grammar, structure, coherence, and content relevance. This facilitates personalized learning experiences by enabling students to identify their strengths and areas for improvement. Furthermore, the project incorporates text summarization techniques to assist students in extracting crucial information from lengthy texts efficiently. By identifying key concepts and generating concise summaries, students can enhance their comprehension and effectively manage information overload. To promote a supportive learning environment, sentiment analysis is integrated, allowing educators to gain insights into students' emotional states and engagement levels. This valuable information enables targeted support and interventions tailored to individual students' needs, fostering a conducive learning atmosphere. In addition, the project implements a toxic comment classifier to create a safe and respectful online learning environment. The system automatically detects and flags toxic or abusive comments, fostering a positive and inclusive online community for students to engage in meaningful discussions. By developing and implementing these AI features, this project aims to enhance the learning experience, provide personalized support, and foster a safe online environment. Through the utilization of AI, it contributes to the ongoing digital transformation of education, empowering students and supporting educators in creating a more efficient, inclusive, and engaging educational landscape.. In an era characterized by rapid technological advancements, the digital transformation of various sectors has become an imperative for progress. One area where digital transformation holds immense potential is education. The integration of technology and artificial intelligence (AI) in education has the power to revolutionize traditional learning approaches, enhance student engagement, and provide personalized learning experiences. This project, titled ""Towards Digital Transformation of Education, "" aims to contribute to this paradigm shift by developing and implementing AI features that address key challenges in the education sector and explore the potential of artificial intelligence (AI) to facilitate this transformation and unlock new possibilities in the field of education. Education is a fundamental pillar of society, shaping the minds and futures of individuals. In the age of technological advancements, the field of education stands on the brink of a significant transformation. The integration of artificial intelligence (AI) has the potential to revolutionize traditional educational practices, offering new opportunities for personalized learning, efficient assessment, and improved student engagement. Education is considered the cornerstone of personal and societal growth, enabling individuals to acquire knowledge, develop skills, and pursue their aspirations. In the era of digitalization, there is a pressing need to embrace technology to revolutionize traditional educational practices and adapt to the evolving needs of learners.",towards digital transformation for education. in the era of digital transformation education has undergone a significant revolution redefining traditional learning methods. this project aims to contribute to this transformation by leveraging the power of artificial intelligence ai to enhance various aspects of education. the primary focus lies in the development and implementation of ai features such as essay grading text summarization sentiment analysis and toxic comment classification. the project s core objective is to create an ai-powered essay grading system that automates the grading process providing students with timely and consistent feedback on their assignments. by employing natural language processing techniques and machine learning algorithms the system analyses essays for grammar structure coherence and content relevance. this facilitates personalized learning experiences by enabling students to identify their strengths and areas for improvement. furthermore the project incorporates text summarization techniques to assist students in extracting crucial information from lengthy texts efficiently. by identifying key concepts and generating concise summaries students can enhance their comprehension and effectively manage information overload. to promote a supportive learning environment sentiment analysis is integrated allowing educators to gain insights into students emotional states and engagement levels. this valuable information enables targeted support and interventions tailored to individual students needs fostering a conducive learning atmosphere. in addition the project implements a toxic comment classifier to create a safe and respectful online learning environment. the system automatically detects and flags toxic or abusive comments fostering a positive and inclusive online community for students to engage in meaningful discussions. by developing and implementing these ai features this project aims to enhance the learning experience provide personalized support and foster a safe online environment. through the utilization of ai it contributes to the ongoing digital transformation of education empowering students and supporting educators in creating a more efficient inclusive and engaging educational landscape.. in an era characterized by rapid technological advancements the digital transformation of various sectors has become an imperative for progress. one area where digital transformation holds immense potential is education. the integration of technology and artificial intelligence ai in education has the power to revolutionize traditional learning approaches enhance student engagement and provide personalized learning experiences. this project titled towards digital transformation of education aims to contribute to this paradigm shift by developing and implementing ai features that address key challenges in the education sector and explore the potential of artificial intelligence ai to facilitate this transformation and unlock new possibilities in the field of education. education is a fundamental pillar of society shaping the minds and futures of individuals. in the age of technological advancements the field of education stands on the brink of a significant transformation. the integration of artificial intelligence ai has the potential to revolutionize traditional educational practices offering new opportunities for personalized learning efficient assessment and improved student engagement. education is considered the cornerstone of personal and societal growth enabling individuals to acquire knowledge develop skills and pursue their aspirations. in the era of digitalization there is a pressing need to embrace technology to revolutionize traditional educational practices and adapt to the evolving needs of learners.,514,"['personalized learning experiences', 'digital transformation education', 'revolutionize traditional', 'artificial intelligence', 'traditional learning', 'project aims']",46.84
232,,Training management system,"Ahmed Antar Mansour, Ahmed Abdelhameed Elsayed, Ahmed Magdy Goda, Mohamed Sayed Yousef, Eslam Nagah Awad",2019,"Training management system are important to organize the training process in faculties. In BFCI, the student should take three compulsory training after the first, second and third year respectively. There is no system to manage the training process inside BFCI. We have developed a system to manage the training process in our faculty. The system facilitates the supervisor of the training to raise the announcement of the courses available and registration and approval of the registration of students and also facilitates the lecturer to take the absence of the student and value during the course of the course through the site. The system will be able to generate report regarding the training operation. For example, the number of student per semester and courses, the system is able to check the inventory for applied courses. The target user for this system is students, staff of training and instructors (both internal and external). Prototyping approach is applied while developing this system. This will involve an iterative process to make this system is usable and easy to use by the user. this system have the important part is tracking the whole training operation among the students and instructors, through uploading content and assigning tasks in discussion room.","A web-based platform designed to digitize and streamline the mandatory training process for students at the Faculty of Computers and Informatics (BFCI). The system provides a centralized hub for course announcements, student registration, attendance tracking, performance evaluation, and administrative reporting.","The current manual process for managing student training is inefficient, leading to difficulties in tracking student progress, managing course inventory, handling registration approvals, and maintaining communication between instructors and students, resulting in significant time wastage.","A centralized web-based Training Management System that automates course registration, provides real-time tracking of student attendance and performance, enables instructors to upload content and assign tasks, and allows administrators to generate comprehensive reports on training operations.","1. Optimize resource allocation and task management.
2. Enable real-time monitoring and tracking capabilities.
3. Improve tracking accuracy and operational visibility.
4. Improve decision-making using artificial intelligence techniques.
5. Improve accessibility across different devices and platforms.
6. Reduce operational complexity and improve efficiency.","Training management system. Training management system are important to organize the training process in faculties. In BFCI, the student should take three compulsory training after the first, second and third year respectively. There is no system to manage the training process inside BFCI. We have developed a system to manage the training process in our faculty. The system facilitates the supervisor of the training to raise the announcement of the courses available and registration and approval of the registration of students and also facilitates the lecturer to take the absence of the student and value during the course of the course through the site. The system will be able to generate report regarding the training operation. For example, the number of student per semester and courses, the system is able to check the inventory for applied courses. The target user for this system is students, staff of training and instructors (both internal and external). Prototyping approach is applied while developing this system. This will involve an iterative process to make this system is usable and easy to use by the user. this system have the important part is tracking the whole training operation among the students and instructors, through uploading content and assigning tasks in discussion room.. A web-based platform designed to digitize and streamline the mandatory training process for students at the Faculty of Computers and Informatics (BFCI). The system provides a centralized hub for course announcements, student registration, attendance tracking, performance evaluation, and administrative reporting.",training management system. training management system are important to organize the training process in faculties. in bfci the student should take three compulsory training after the first second and third year respectively. there is no system to manage the training process inside bfci. we have developed a system to manage the training process in our faculty. the system facilitates the supervisor of the training to raise the announcement of the courses available and registration and approval of the registration of students and also facilitates the lecturer to take the absence of the student and value during the course of the course through the site. the system will be able to generate report regarding the training operation. for example the number of student per semester and courses the system is able to check the inventory for applied courses. the target user for this system is students staff of training and instructors both internal and external . prototyping approach is applied while developing this system. this will involve an iterative process to make this system is usable and easy to use by the user. this system have the important part is tracking the whole training operation among the students and instructors through uploading content and assigning tasks in discussion room.. a web-based platform designed to digitize and streamline the mandatory training process for students at the faculty of computers and informatics bfci . the system provides a centralized hub for course announcements student registration attendance tracking performance evaluation and administrative reporting.,249,"['training management system', 'mandatory training process', 'training process inside', 'manage the training', 'process inside bfci', 'compulsory training', 'training operation', 'system facilitates', 'system to manage']",66.57
233,,Travoice,"Amany Ahmed, Aya Fawzy, Bishoy Samy, Doaa Rabea, Esraa Amine, Hayam Fekry, Mostafa Ali",2016,"Travoice is a mobile application designed to enhance the tourism experience in Egypt. It provides tourists with location-based services, including navigation to tourist sites, hotels, and restaurants, without the need for a physical guide. The application also facilitates social interaction by allowing users to share photos and experiences, while providing essential contact information for various locations.","Travoice is a travel-focused mobile application developed for the Windows Phone platform. It serves as a digital companion for tourists visiting Egypt, offering navigation, location discovery for points of interest, and social sharing features. The project aims to modernize the tourism experience by providing a centralized, easy-to-use digital platform for travelers.","Tourists often face challenges such as wasting time, difficulty navigating to tourist attractions, finding reliable information about hotels and restaurants, and the dependency on physical tourist guides.","A mobile application for Windows Phone that provides GPS-based navigation, a directory of tourist locations (hotels, restaurants), and social features for sharing travel experiences and photos, effectively acting as a digital guide.","1. Improve overall productivity and workflow optimization.
2. Implement modern technologies and best practices.
3. Improve system performance and reliability.
4. Enhance user experience and usability.
5. Support future scalability and feature expansion.
6. Reduce operational complexity and improve efficiency.
7. Implement intelligent AI-based functionalities.
8. Provide accurate and reliable functionality.","Travoice. Travoice is a mobile application designed to enhance the tourism experience in Egypt. It provides tourists with location-based services, including navigation to tourist sites, hotels, and restaurants, without the need for a physical guide. The application also facilitates social interaction by allowing users to share photos and experiences, while providing essential contact information for various locations.. Travoice is a travel-focused mobile application developed for the Windows Phone platform. It serves as a digital companion for tourists visiting Egypt, offering navigation, location discovery for points of interest, and social sharing features. The project aims to modernize the tourism experience by providing a centralized, easy-to-use digital platform for travelers.",travoice. travoice is a mobile application designed to enhance the tourism experience in egypt. it provides tourists with location-based services including navigation to tourist sites hotels and restaurants without the need for a physical guide. the application also facilitates social interaction by allowing users to share photos and experiences while providing essential contact information for various locations.. travoice is a travel-focused mobile application developed for the windows phone platform. it serves as a digital companion for tourists visiting egypt offering navigation location discovery for points of interest and social sharing features. the project aims to modernize the tourism experience by providing a centralized easy-to-use digital platform for travelers.,108,"['travel-focused mobile application', 'mobile application developed', 'enhance the tourism', 'designed to enhance', 'tourism experience']",100.0
234,,Treasure Hunt: AR Game Design Document,"Abdullah Mohamed Shosha, Ahmed Mohamed Abdulfatah, Eslam Saudi Saad, Mohamed Mohsen Elbana, Yousef Alaa Mohamed Ibrahim",2024,"This document has been prepared by a group of Computer Science students, Faculty of computers and Artificial Intelligence at Benha University to help Users or students who will play our Game. Using Augmented Reality and Unity Techniques in this Game. The state of the art in Augmented Reality (AR) games. Distinguished advancements in terms of entertainment and serious games from both the research and industry are presented. These works are then analyzed across metrics like technology usage, game genre and chronology. Via this analysis, trends are extracted and novel insights into promising domains are eventually concluded, in both the perspectives of research and commercial development. So Our Game will take the Users or students who will play the Game to an adventure to find and Collect the Treasure of The Ancient Egyptians and know more information about it. So Our player should go around and navigate to search for Treasure that we add to some of the most famous places like the Egyptian Museum or the Pyramids of Giza or somewhere. After the player collects a certain number of treasure, according to the level in which he is, Then he can move to the next level of the game.","Treasure Hunt is a location-based mobile augmented reality game designed to educate users about Egyptian history. Players navigate real-world historical sites, using GPS and AR technology to discover and collect virtual 3D treasures. The game aims to promote tourism and provide an engaging, interactive learning experience about ancient Egyptian culture.","The project addresses the technological gap in AR accessibility, specifically the lack of AR support on many Android devices compared to iOS, and the high cost of specialized AR hardware. Additionally, it tackles the challenge of creating user-friendly, location-based AR experiences that are accessible on standard smartphones.","The team developed a location-based AR game using Unity that utilizes standard smartphone sensors (GPS, gyroscope, magnetic sensor) to create an immersive experience. The solution focuses on optimizing AR performance for mobile devices to make the technology accessible to a wider audience without requiring expensive AR gear.","1. Improve system performance and reliability.
2. Provide efficient data analysis and reporting features.
3. Enhance user experience and usability.
4. Create a mobile-friendly and accessible application.
5. Implement modern technologies and best practices.
6. Improve decision-making using artificial intelligence techniques.
7. Implement intelligent AI-based functionalities.","Treasure Hunt: AR Game Design Document. This document has been prepared by a group of Computer Science students, Faculty of computers and Artificial Intelligence at Benha University to help Users or students who will play our Game. Using Augmented Reality and Unity Techniques in this Game. The state of the art in Augmented Reality (AR) games. Distinguished advancements in terms of entertainment and serious games from both the research and industry are presented. These works are then analyzed across metrics like technology usage, game genre and chronology. Via this analysis, trends are extracted and novel insights into promising domains are eventually concluded, in both the perspectives of research and commercial development. So Our Game will take the Users or students who will play the Game to an adventure to find and Collect the Treasure of The Ancient Egyptians and know more information about it. So Our player should go around and navigate to search for Treasure that we add to some of the most famous places like the Egyptian Museum or the Pyramids of Giza or somewhere. After the player collects a certain number of treasure, according to the level in which he is, Then he can move to the next level of the game.. Treasure Hunt is a location-based mobile augmented reality game designed to educate users about Egyptian history. Players navigate real-world historical sites, using GPS and AR technology to discover and collect virtual 3D treasures. The game aims to promote tourism and provide an engaging, interactive learning experience about ancient Egyptian culture.",treasure hunt ar game design document. this document has been prepared by a group of computer science students faculty of computers and artificial intelligence at benha university to help users or students who will play our game. using augmented reality and unity techniques in this game. the state of the art in augmented reality ar games. distinguished advancements in terms of entertainment and serious games from both the research and industry are presented. these works are then analyzed across metrics like technology usage game genre and chronology. via this analysis trends are extracted and novel insights into promising domains are eventually concluded in both the perspectives of research and commercial development. so our game will take the users or students who will play the game to an adventure to find and collect the treasure of the ancient egyptians and know more information about it. so our player should go around and navigate to search for treasure that we add to some of the most famous places like the egyptian museum or the pyramids of giza or somewhere. after the player collects a certain number of treasure according to the level in which he is then he can move to the next level of the game.. treasure hunt is a location-based mobile augmented reality game designed to educate users about egyptian history. players navigate real-world historical sites using gps and ar technology to discover and collect virtual 3d treasures. the game aims to promote tourism and provide an engaging interactive learning experience about ancient egyptian culture.,255,"['computer science students', 'science students faculty', 'augmented reality game', 'game design document', 'group of computer', 'treasure hunt']",85.17
235,,Treatment Child With Cerebral Palsy using VR supplement,"Mohamed Ahmed Imam Talab, Mohamed Ashraf Fahmy, Mohamed Bashir Antar Bedir, Mohamed Ahmed Nabih El-Dighidy, Kyrillos Samir Halim, Latifa Mohamed El-Bakry, Manar Samir Mohamed El-Absy",2024,"This project aims to explore the effectiveness of utilizing virtual reality (VR) technology in the treatment of children with cerebral palsy (CP). Specifically, we developed two mini-sport games within 3D Unity environment and computer vision: football and squash. The football game targets various physical aspects including balance, hip flexors, knee extensors, ankle dorsiflexors, as well as addressing symptoms such as ataxia and polyneuropathy commonly associated with CP. On the other hand, Tennise focuses on enhancing fine motor skills and occupational therapy for these children. Through immersive VR experiences tailored to the needs of children with CP, we seek to provide an engaging and effective therapeutic approach to improve their physical and cognitive abilities. This study highlights the potential of VR-based interventions in pediatric rehabilitation, offering a promising avenue for enhancing the quality of life and functional independence of children with CP.","The project is a VR-based therapeutic system designed to assist children with Cerebral Palsy in their physical rehabilitation. By gamifying physiotherapy through immersive sports simulations like football and squash, the system encourages children to perform necessary exercises to improve motor skills, balance, and muscle control in an engaging and motivating environment.","Traditional therapy for Cerebral Palsy often suffers from limited accessibility, lack of personalization, high costs, and difficulty in tracking patient progress, which can lead to suboptimal outcomes and decreased patient motivation.","The project proposes an immersive VR gaming system that provides customized, interactive exercises targeting specific muscle groups and motor skills, making therapy more enjoyable and accessible for children with CP.","1. Implement modern technologies and best practices.
2. Enhance user experience and usability.
3. Reduce operational complexity and improve efficiency.
4. Support future scalability and feature expansion.
5. Provide accurate and reliable functionality.
6. Enable real-time monitoring using connected devices.
7. Improve overall productivity and workflow optimization.","Treatment Child With Cerebral Palsy using VR supplement. This project aims to explore the effectiveness of utilizing virtual reality (VR) technology in the treatment of children with cerebral palsy (CP). Specifically, we developed two mini-sport games within 3D Unity environment and computer vision: football and squash. The football game targets various physical aspects including balance, hip flexors, knee extensors, ankle dorsiflexors, as well as addressing symptoms such as ataxia and polyneuropathy commonly associated with CP. On the other hand, Tennise focuses on enhancing fine motor skills and occupational therapy for these children. Through immersive VR experiences tailored to the needs of children with CP, we seek to provide an engaging and effective therapeutic approach to improve their physical and cognitive abilities. This study highlights the potential of VR-based interventions in pediatric rehabilitation, offering a promising avenue for enhancing the quality of life and functional independence of children with CP.. The project is a VR-based therapeutic system designed to assist children with Cerebral Palsy in their physical rehabilitation. By gamifying physiotherapy through immersive sports simulations like football and squash, the system encourages children to perform necessary exercises to improve motor skills, balance, and muscle control in an engaging and motivating environment.",treatment child with cerebral palsy using vr supplement. this project aims to explore the effectiveness of utilizing virtual reality vr technology in the treatment of children with cerebral palsy cp . specifically we developed two mini-sport games within 3d unity environment and computer vision football and squash. the football game targets various physical aspects including balance hip flexors knee extensors ankle dorsiflexors as well as addressing symptoms such as ataxia and polyneuropathy commonly associated with cp. on the other hand tennise focuses on enhancing fine motor skills and occupational therapy for these children. through immersive vr experiences tailored to the needs of children with cp we seek to provide an engaging and effective therapeutic approach to improve their physical and cognitive abilities. this study highlights the potential of vr-based interventions in pediatric rehabilitation offering a promising avenue for enhancing the quality of life and functional independence of children with cp.. the project is a vr-based therapeutic system designed to assist children with cerebral palsy in their physical rehabilitation. by gamifying physiotherapy through immersive sports simulations like football and squash the system encourages children to perform necessary exercises to improve motor skills balance and muscle control in an engaging and motivating environment.,201,"['system encourages children', 'utilizing virtual reality', 'computer vision football', 'children with cerebral', 'football game targets', 'improve motor skills', 'motor skills balance', 'football and squash', 'treatment child', 'cerebral palsy']",88.85
236,,UNI-ASSIST: An intelligent System for Assessing Student Participation and Interaction,"Mariam Anwer Mohamed Youssef, Eman Saeed Mohamed Mahmoud, Hagar Ashraf Mohamed, Mahmoud Ahmed Ahmed Araby, Mark Naiem Zakher Mosaad, Youssef Emad Gamal, Omar Mohamed Abdelrahman, Radwa Mohamed Khalil, Alaa Essam Abdelaal",2024,"UNI-ASSIST is an intelligent system designed to modernize the traditional, paper-based student attendance and academic communication process. By utilizing QR code technology for secure and efficient attendance tracking, the system eliminates manual errors and time-consuming administrative tasks. Additionally, it provides a centralized platform for faculty to manage course materials and communicate important updates, serving as a more structured and reliable alternative to informal social media groups.","UNI-ASSIST is a comprehensive academic management platform that integrates three core functionalities: a secure QR-code-based attendance system, an automated academic material management system, and a dedicated communication portal for faculty-student interaction. The system aims to digitize the educational environment, ensuring accurate attendance records, streamlined access to course content, and improved information dissemination.","Traditional attendance systems rely on manual paper-based methods that are inefficient, prone to falsification, and time-consuming. Furthermore, communication between faculty and students is often fragmented across social media, leading to information loss, difficulty in accessing course materials, and general administrative confusion.","The project proposes an automated system that uses time-sensitive QR codes for attendance to prevent fraud and save time. It also includes a centralized module for faculty to upload course materials and post official announcements, ensuring that all students have reliable access to critical academic information.","1. Implement modern technologies and best practices.
2. Improve tracking accuracy and operational visibility.
3. Enhance user experience and usability.
4. Reduce operational complexity and improve efficiency.
5. Improve overall productivity and workflow optimization.
6. Improve system performance and reliability.
7. Develop a scalable and maintainable solution.
8. Improve workflow and management efficiency.","UNI-ASSIST: An intelligent System for Assessing Student Participation and Interaction. UNI-ASSIST is an intelligent system designed to modernize the traditional, paper-based student attendance and academic communication process. By utilizing QR code technology for secure and efficient attendance tracking, the system eliminates manual errors and time-consuming administrative tasks. Additionally, it provides a centralized platform for faculty to manage course materials and communicate important updates, serving as a more structured and reliable alternative to informal social media groups.. UNI-ASSIST is a comprehensive academic management platform that integrates three core functionalities: a secure QR-code-based attendance system, an automated academic material management system, and a dedicated communication portal for faculty-student interaction. The system aims to digitize the educational environment, ensuring accurate attendance records, streamlined access to course content, and improved information dissemination.",uni-assist an intelligent system for assessing student participation and interaction. uni-assist is an intelligent system designed to modernize the traditional paper-based student attendance and academic communication process. by utilizing qr code technology for secure and efficient attendance tracking the system eliminates manual errors and time-consuming administrative tasks. additionally it provides a centralized platform for faculty to manage course materials and communicate important updates serving as a more structured and reliable alternative to informal social media groups.. uni-assist is a comprehensive academic management platform that integrates three core functionalities a secure qr-code-based attendance system an automated academic material management system and a dedicated communication portal for faculty-student interaction. the system aims to digitize the educational environment ensuring accurate attendance records streamlined access to course content and improved information dissemination.,128,"['time-consuming administrative tasks', 'assessing student participation', 'traditional paper-based student', 'academic communication process.', 'paper-based student attendance', 'participation and interaction', 'intelligent system designed', 'uni-assist an intelligent', 'system eliminates manual', 'eliminates manual errors']",93.2
237,,Universal Health Insurance,"Aliaa Amin Mostafa, Ekhlas Fawzy Mahmoud, Fatma Saeed Wasal, Fedaa Wael Mousa, Manar Mosad Sabeha, Nahla Faisl El-Sadick",2023,"This project introduces a comprehensive digital platform for the Universal Health Insurance system. It aims to streamline healthcare services, reduce administrative burdens, and ensure equitable access to medical care for all citizens, including state employees, students, and the unemployed. By transitioning from manual, fragmented processes to an integrated digital solution, the system improves transparency, efficiency, and the quality of health services provided to the public.","The project is a web-based information system designed to support the implementation of a national Universal Health Insurance program. It addresses current inefficiencies in healthcare administration by providing a centralized platform for citizens to access services, manage insurance records, and interact with healthcare providers. The system is built to handle complex insurance workflows, including family-based coverage, diagnostic services, and treatment tracking.","Current health insurance systems are fragmented, lack transparency, and often fail to cover all segments of society. Issues include high administrative costs, corruption risks, lack of effective control mechanisms, and difficulty for citizens to access services efficiently, leading to increased financial and health burdens on individuals.","The development of a comprehensive, centralized web-based health insurance portal that digitizes the insurance process. This system provides a unified interface for citizens to manage their health insurance, ensures equitable distribution of resources, and implements digital controls to prevent fraud and improve service delivery efficiency.","1. Develop a responsive and user-friendly web application.
2. Improve tracking accuracy and operational visibility.
3. Enhance user experience and usability.
4. Develop a scalable and maintainable solution.
5. Support future scalability and feature expansion.","Universal Health Insurance. This project introduces a comprehensive digital platform for the Universal Health Insurance system. It aims to streamline healthcare services, reduce administrative burdens, and ensure equitable access to medical care for all citizens, including state employees, students, and the unemployed. By transitioning from manual, fragmented processes to an integrated digital solution, the system improves transparency, efficiency, and the quality of health services provided to the public.. The project is a web-based information system designed to support the implementation of a national Universal Health Insurance program. It addresses current inefficiencies in healthcare administration by providing a centralized platform for citizens to access services, manage insurance records, and interact with healthcare providers. The system is built to handle complex insurance workflows, including family-based coverage, diagnostic services, and treatment tracking.",universal health insurance. this project introduces a comprehensive digital platform for the universal health insurance system. it aims to streamline healthcare services reduce administrative burdens and ensure equitable access to medical care for all citizens including state employees students and the unemployed. by transitioning from manual fragmented processes to an integrated digital solution the system improves transparency efficiency and the quality of health services provided to the public.. the project is a web-based information system designed to support the implementation of a national universal health insurance program. it addresses current inefficiencies in healthcare administration by providing a centralized platform for citizens to access services manage insurance records and interact with healthcare providers. the system is built to handle complex insurance workflows including family-based coverage diagnostic services and treatment tracking.,129,"['comprehensive digital platform', 'universal health insurance', 'national universal health', 'health insurance program', 'health services provided', 'health insurance system']",88.19
238,,University Companion,"Mohamed Adel El-Sayed, Belal Ahmed Ali, Mohamed Adel Mohamed, Sayed Fotoh El-Sayed, Yousef Ali Ahmed, Mohamed Mortada Abdirashid, Mohamed Gamal El Sayed, Mostafa Ali Mostafa",2024,"In the contemporary landscape of higher education, students face numerous challenges in navigating their academic journey effectively. To address these challenges and enhance the student experience, we introduce ""University Companion, "" an innovative application designed to support students in managing their academic endeavors seamlessly. University Companion offers a range of features aimed at streamlining the academic experience, including a comprehensive course catalog, GPA tracking functionality, personalized advice based on academic performance, and an integrated chat-bot for real-time assistance. Leveraging advanced algorithms and natural language processing (NLP) technology, the application provides students with actionable insights, empowering them to make informed decisions and maximize their academic potential. Moreover, University Companion fosters a sense of community and collaboration among students by providing various community groups tailored to each grade level and department. These groups serve as platforms for students to connect, share resources, seek help from peers, and engage in private chats, akin to popular messaging applications like WhatsApp or Messenger. Furthermore, University Companion integrates professors into the platform, allowing them to log in with their academic accounts to add courses, make announcements, and engage with students directly. Professors can seamlessly contribute to the academic ecosystem by uploading course materials, providing timely updates, and fostering communication between students and faculty members. Through its intuitive interface, user-centric design, commitment to fostering community engagement, and integration of professors, University Companion aims to revolutionize the way students engage with their studies. By facilitating efficient course selection, GPA monitoring, personalized advice, community collaboration, private chats, and direct interaction with professors, the application seeks to empower students, foster academic success, and promote a culture of lifelong learning within the university community.","University Companion is a centralized digital platform and application designed to streamline the academic experience for university students. It integrates course management, resource sharing, community collaboration, and an AI-powered chatbot to provide real-time academic assistance and personalized guidance.","University students face significant challenges in managing and accessing course materials, reference books, and academic resources spread across disparate platforms. Additionally, they often struggle with navigating academic requirements and obtaining instant clarification on course content, leading to delays in understanding and academic progress.","The project provides a centralized hub called 'University Companion' that consolidates academic resources into a single, accessible interface. It features an AI-driven chatbot utilizing Natural Language Processing (NLP) to provide real-time support, alongside community features for student-to-student and student-to-professor interaction.","1. Develop a scalable and maintainable solution.
2. Improve decision-making using artificial intelligence techniques.
3. Reduce operational complexity and improve efficiency.
4. Improve system performance and reliability.
5. Implement intelligent AI-based functionalities.","University Companion. In the contemporary landscape of higher education, students face numerous challenges in navigating their academic journey effectively. To address these challenges and enhance the student experience, we introduce ""University Companion, "" an innovative application designed to support students in managing their academic endeavors seamlessly. University Companion offers a range of features aimed at streamlining the academic experience, including a comprehensive course catalog, GPA tracking functionality, personalized advice based on academic performance, and an integrated chat-bot for real-time assistance. Leveraging advanced algorithms and natural language processing (NLP) technology, the application provides students with actionable insights, empowering them to make informed decisions and maximize their academic potential. Moreover, University Companion fosters a sense of community and collaboration among students by providing various community groups tailored to each grade level and department. These groups serve as platforms for students to connect, share resources, seek help from peers, and engage in private chats, akin to popular messaging applications like WhatsApp or Messenger. Furthermore, University Companion integrates professors into the platform, allowing them to log in with their academic accounts to add courses, make announcements, and engage with students directly. Professors can seamlessly contribute to the academic ecosystem by uploading course materials, providing timely updates, and fostering communication between students and faculty members. Through its intuitive interface, user-centric design, commitment to fostering community engagement, and integration of professors, University Companion aims to revolutionize the way students engage with their studies. By facilitating efficient course selection, GPA monitoring, personalized advice, community collaboration, private chats, and direct interaction with professors, the application seeks to empower students, foster academic success, and promote a culture of lifelong learning within the university community.. University Companion is a centralized digital platform and application designed to streamline the academic experience for university students. It integrates course management, resource sharing, community collaboration, and an AI-powered chatbot to provide real-time academic assistance and personalized guidance.",university companion. in the contemporary landscape of higher education students face numerous challenges in navigating their academic journey effectively. to address these challenges and enhance the student experience we introduce university companion an innovative application designed to support students in managing their academic endeavors seamlessly. university companion offers a range of features aimed at streamlining the academic experience including a comprehensive course catalog gpa tracking functionality personalized advice based on academic performance and an integrated chat-bot for real-time assistance. leveraging advanced algorithms and natural language processing nlp technology the application provides students with actionable insights empowering them to make informed decisions and maximize their academic potential. moreover university companion fosters a sense of community and collaboration among students by providing various community groups tailored to each grade level and department. these groups serve as platforms for students to connect share resources seek help from peers and engage in private chats akin to popular messaging applications like whatsapp or messenger. furthermore university companion integrates professors into the platform allowing them to log in with their academic accounts to add courses make announcements and engage with students directly. professors can seamlessly contribute to the academic ecosystem by uploading course materials providing timely updates and fostering communication between students and faculty members. through its intuitive interface user-centric design commitment to fostering community engagement and integration of professors university companion aims to revolutionize the way students engage with their studies. by facilitating efficient course selection gpa monitoring personalized advice community collaboration private chats and direct interaction with professors the application seeks to empower students foster academic success and promote a culture of lifelong learning within the university community.. university companion is a centralized digital platform and application designed to streamline the academic experience for university students. it integrates course management resource sharing community collaboration and an ai-powered chatbot to provide real-time academic assistance and personalized guidance.,312,"['professors university companion', 'university companion integrates', 'introduce university companion', 'university companion fosters', 'academic journey effectively', 'university companion offers', 'application designed', 'academic experience']",69.44
239,,Vehicle Movement tracking system using IoT,"Aya Moustafa Mohamed, Karima Refat Younis, Basma El-saeed Mohamed, Aya Mohamed Ashoor",2018,"A vehicle tracking system is one of the most important things in real life. A vehicle tracking system will design and implement for tracking the movement of any equipped vehicle from any location at any time. The system uses a popular technology that combines a Smartphone application with a microcontroller. This will be an inexpensive solution compared to others. The design of the system can be implemented using ESP technology that is one of the most common ways for vehicle tracking. The object is tracked in real-time. The vehicle tracking system uses the GPS module to get geographic coordinates (longitudes and latitudes) at regular time intervals. A Smartphone application is also developed for concurrent monitoring the vehicle location. The Google Maps API is used to display the vehicle using Smartphone application. Thus, users will be able to monitor a moving vehicle on demand using the Smartphone application and they determine the estimated distance and time for the vehicle to arrive at a given destination.","This project presents a low-cost, real-time vehicle tracking system designed to monitor the location of moving or stationary vehicles. By integrating GPS modules with ESP Wi-Fi microcontrollers, the system captures precise geographic coordinates and transmits them to a central server. Users can then view the vehicle's real-time position on a smartphone application integrated with Google Maps, providing enhanced security and logistical oversight.","The increasing number of road accidents, vehicle thefts, and the need for monitoring the safety of individuals (such as children in school buses) create a critical demand for reliable, real-time vehicle tracking solutions to ensure safety and rapid response.","The proposed solution is an IoT-based tracking system that utilizes a GPS module for location acquisition and an ESP Wi-Fi module for data transmission. The system processes these coordinates and displays them on a user-friendly smartphone application using the Google Maps API, allowing for real-time monitoring of vehicle movement.","1. Enhance system security and protect sensitive user data.
2. Reduce operational complexity and improve efficiency.
3. Support future scalability and feature expansion.
4. Implement modern technologies and best practices.
5. Develop a scalable and maintainable solution.
6. Integrate IoT technologies for smart automation.
7. Enable real-time monitoring using connected devices.
8. Enable real-time monitoring and tracking capabilities.","Vehicle Movement tracking system using IoT. A vehicle tracking system is one of the most important things in real life. A vehicle tracking system will design and implement for tracking the movement of any equipped vehicle from any location at any time. The system uses a popular technology that combines a Smartphone application with a microcontroller. This will be an inexpensive solution compared to others. The design of the system can be implemented using ESP technology that is one of the most common ways for vehicle tracking. The object is tracked in real-time. The vehicle tracking system uses the GPS module to get geographic coordinates (longitudes and latitudes) at regular time intervals. A Smartphone application is also developed for concurrent monitoring the vehicle location. The Google Maps API is used to display the vehicle using Smartphone application. Thus, users will be able to monitor a moving vehicle on demand using the Smartphone application and they determine the estimated distance and time for the vehicle to arrive at a given destination.. This project presents a low-cost, real-time vehicle tracking system designed to monitor the location of moving or stationary vehicles. By integrating GPS modules with ESP Wi-Fi microcontrollers, the system captures precise geographic coordinates and transmits them to a central server. Users can then view the vehicle's real-time position on a smartphone application integrated with Google Maps, providing enhanced security and logistical oversight.",vehicle movement tracking system using iot. a vehicle tracking system is one of the most important things in real life. a vehicle tracking system will design and implement for tracking the movement of any equipped vehicle from any location at any time. the system uses a popular technology that combines a smartphone application with a microcontroller. this will be an inexpensive solution compared to others. the design of the system can be implemented using esp technology that is one of the most common ways for vehicle tracking. the object is tracked in real-time. the vehicle tracking system uses the gps module to get geographic coordinates longitudes and latitudes at regular time intervals. a smartphone application is also developed for concurrent monitoring the vehicle location. the google maps api is used to display the vehicle using smartphone application. thus users will be able to monitor a moving vehicle on demand using the smartphone application and they determine the estimated distance and time for the vehicle to arrive at a given destination.. this project presents a low-cost real-time vehicle tracking system designed to monitor the location of moving or stationary vehicles. by integrating gps modules with esp wi-fi microcontrollers the system captures precise geographic coordinates and transmits them to a central server. users can then view the vehicle s real-time position on a smartphone application integrated with google maps providing enhanced security and logistical oversight.,233,"['real-time vehicle tracking', 'vehicle movement tracking', 'movement tracking system', 'tracking system designed', 'vehicle tracking system', 'smartphone application']",89.2
240,,Vibrant: IOT Based Smart Monitoring System For Intensive Care Utilization,"Mahmoud Tarek Mohamed, Asmaa Mosad Mohamed, Abeer Kamal Ali, Eman AbdElwanees Hamad, Abdel Rahman Baiuomy Metwaly, Mahmoud Rawy Nady",2018,"In Egypt, citizens suffer to obtain medical services, particularly intensive care due to the shortage of the intensive care units. One of the reasons for the late arrival is the shortage of information about the available rooms for intensive care in hospitals. So patients move from hospital to another unit they find a room. We tried to solve a part of this problem by carrying out a system to provide the information about the utilization of intensive care rooms at hospitals in the region. This system can help citizens to find out the nearest available room to move to directly. As a result, the survival rate will increase and the cost of treatment will decrease significantly. Thereby the efficiency of intensive care utilization raises. The main idea is to provide the information about intensive care utilization at hospitals based on Internet to Things (IOT) technology. The System is divided into three units: device node, gateway node, and database server. The device node watches the intensive care unit. The Gateway nodes collect the information from device nodes and send it to the server to collect the data and make it available for citizens. The project aims at designing, implementing and deploying a cost effective IOT system to monitor the intensive care utilization and give citizens access to this information. Hence, citizens can move to the nearest available hospital directly at the right time.","Vibrant is an IoT-based system designed to monitor the availability and utilization of intensive care units (ICU) in hospitals. The system consists of device nodes installed in ICU rooms, gateway nodes that aggregate data, a central database server, and a mobile application that provides real-time information to citizens, doctors, and ambulance drivers.","Patients in Egypt often face critical delays in receiving intensive care due to a lack of real-time information regarding bed availability. Current methods, such as calling hospitals, are inefficient, inaccurate, and lead to patients being transported between multiple hospitals before finding an available unit, which negatively impacts survival rates.","The project proposes an IoT-based monitoring system that tracks ICU bed occupancy in real-time. By deploying sensor-based device nodes in hospitals and connecting them through gateways to a central server, the system provides an accessible interface (mobile application) for users to locate the nearest hospital with an available ICU bed, thereby reducing travel time and improving emergency response efficiency.","1. Reduce operational complexity and improve efficiency.
2. Create a mobile-friendly and accessible application.
3. Provide accurate and reliable functionality.
4. Support future scalability and feature expansion.
5. Improve overall productivity and workflow optimization.","Vibrant: IOT Based Smart Monitoring System For Intensive Care Utilization. In Egypt, citizens suffer to obtain medical services, particularly intensive care due to the shortage of the intensive care units. One of the reasons for the late arrival is the shortage of information about the available rooms for intensive care in hospitals. So patients move from hospital to another unit they find a room. We tried to solve a part of this problem by carrying out a system to provide the information about the utilization of intensive care rooms at hospitals in the region. This system can help citizens to find out the nearest available room to move to directly. As a result, the survival rate will increase and the cost of treatment will decrease significantly. Thereby the efficiency of intensive care utilization raises. The main idea is to provide the information about intensive care utilization at hospitals based on Internet to Things (IOT) technology. The System is divided into three units: device node, gateway node, and database server. The device node watches the intensive care unit. The Gateway nodes collect the information from device nodes and send it to the server to collect the data and make it available for citizens. The project aims at designing, implementing and deploying a cost effective IOT system to monitor the intensive care utilization and give citizens access to this information. Hence, citizens can move to the nearest available hospital directly at the right time.. Vibrant is an IoT-based system designed to monitor the availability and utilization of intensive care units (ICU) in hospitals. The system consists of device nodes installed in ICU rooms, gateway nodes that aggregate data, a central database server, and a mobile application that provides real-time information to citizens, doctors, and ambulance drivers.",vibrant iot based smart monitoring system for intensive care utilization. in egypt citizens suffer to obtain medical services particularly intensive care due to the shortage of the intensive care units. one of the reasons for the late arrival is the shortage of information about the available rooms for intensive care in hospitals. so patients move from hospital to another unit they find a room. we tried to solve a part of this problem by carrying out a system to provide the information about the utilization of intensive care rooms at hospitals in the region. this system can help citizens to find out the nearest available room to move to directly. as a result the survival rate will increase and the cost of treatment will decrease significantly. thereby the efficiency of intensive care utilization raises. the main idea is to provide the information about intensive care utilization at hospitals based on internet to things iot technology. the system is divided into three units device node gateway node and database server. the device node watches the intensive care unit. the gateway nodes collect the information from device nodes and send it to the server to collect the data and make it available for citizens. the project aims at designing implementing and deploying a cost effective iot system to monitor the intensive care utilization and give citizens access to this information. hence citizens can move to the nearest available hospital directly at the right time.. vibrant is an iot-based system designed to monitor the availability and utilization of intensive care units icu in hospitals. the system consists of device nodes installed in icu rooms gateway nodes that aggregate data a central database server and a mobile application that provides real-time information to citizens doctors and ambulance drivers.,294,"['intensive care utilization', 'smart monitoring system', 'based smart monitoring', 'intensive care units', 'intensive care rooms', 'intensive care due']",54.77
241,,Virtual Logic Lab,"Eman Ibrahem, Fatma Gamal, Salma Hesham, Rokiaa Ibrahem",2011,"Virtual reality and simulation is a breaking technology that applied in many fields (Educational, Medical, Industrial, etc.), and many applications had appeared in the last few years that were very helpful, and success especially in the educational field. So we had the challenge to make a useful, success, and attractive virtual application to be our graduation project. And we choose the logic field because it will be helpful for the students in our faculty, and in many other facilities. Also logic is just perfect field to be simulated. So we choose making a virtual logic laboratory. This document describes the work completed for the final year project, design of an efficient, helpful virtual logic lab, all the work we had done until we had finished this project. This documentation includes an introduction about our project, research results, and a great background about simulation, and virtual reality. This document also includes the steps of implementing our projects by java programming, and how we had examined to ensure that it works correctly. This is a documented step by step to help the reader to understand what is our project, and how does it work.","Virtual Logic Lab is an interactive software application designed to simulate digital logic circuits. It allows students to connect various logic gates, specify inputs, and observe the resulting outputs in a virtual environment, effectively replacing the need for physical laboratory equipment.","Traditional logic labs suffer from issues such as equipment malfunction, limited availability of tools, and time constraints. Students often struggle with limited access to physical labs and the potential for damaging expensive components during experiments.","The Virtual Logic Lab provides a safe, cost-effective, and accessible software-based simulation environment. It allows users to build and test logic circuits without the risk of hardware damage, providing features like truth table generation, timing diagrams, and error detection.","1. Implement modern technologies and best practices.
2. Enhance user experience and usability.
3. Develop a scalable and maintainable solution.
4. Reduce operational complexity and improve efficiency.
5. Improve learning experience and educational accessibility.","Virtual Logic Lab. Virtual reality and simulation is a breaking technology that applied in many fields (Educational, Medical, Industrial, etc.), and many applications had appeared in the last few years that were very helpful, and success especially in the educational field. So we had the challenge to make a useful, success, and attractive virtual application to be our graduation project. And we choose the logic field because it will be helpful for the students in our faculty, and in many other facilities. Also logic is just perfect field to be simulated. So we choose making a virtual logic laboratory. This document describes the work completed for the final year project, design of an efficient, helpful virtual logic lab, all the work we had done until we had finished this project. This documentation includes an introduction about our project, research results, and a great background about simulation, and virtual reality. This document also includes the steps of implementing our projects by java programming, and how we had examined to ensure that it works correctly. This is a documented step by step to help the reader to understand what is our project, and how does it work.. Virtual Logic Lab is an interactive software application designed to simulate digital logic circuits. It allows students to connect various logic gates, specify inputs, and observe the resulting outputs in a virtual environment, effectively replacing the need for physical laboratory equipment.",virtual logic lab. virtual reality and simulation is a breaking technology that applied in many fields educational medical industrial etc. and many applications had appeared in the last few years that were very helpful and success especially in the educational field. so we had the challenge to make a useful success and attractive virtual application to be our graduation project. and we choose the logic field because it will be helpful for the students in our faculty and in many other facilities. also logic is just perfect field to be simulated. so we choose making a virtual logic laboratory. this document describes the work completed for the final year project design of an efficient helpful virtual logic lab all the work we had done until we had finished this project. this documentation includes an introduction about our project research results and a great background about simulation and virtual reality. this document also includes the steps of implementing our projects by java programming and how we had examined to ensure that it works correctly. this is a documented step by step to help the reader to understand what is our project and how does it work.. virtual logic lab is an interactive software application designed to simulate digital logic circuits. it allows students to connect various logic gates specify inputs and observe the resulting outputs in a virtual environment effectively replacing the need for physical laboratory equipment.,236,"['educational medical industrial', 'attractive virtual application', 'fields educational medical', 'virtual logic laboratory', 'helpful virtual logic', 'virtual reality', 'logic field']",99.86
242,,Virtual Reality for Pain Distraction,"Marwan Osama Elsafy, Omar Toson Khater, Moamen Ali Hassan, Ali Samy Abo Elngah, Eman Saeed Madbouly",2019,"Our idea is to design and develop a virtual reality application that aims to help children with cancer control their pain during chemotherapy session, and not feeling long in the session. Our virtual reality application takes the patient from a real world to a virtual world using two level of the game. Our virtual reality application is divided into two levels; in the 1st level the patient use a gun to shot specific dinosaur that have a color and size which will be determined for him at the beginning of the game. The patient must shot all specific dinosaurs to win this level and be able to go to the next level. But in case of lose he should repeat this level again. In the 2nd level the patient use a gun to shot a specific dinosaur, but in this level the dinosaurs attack the patient and a certain number must be killed to win the game.","This project is a VR-based therapeutic game designed to distract pediatric cancer patients during chemotherapy sessions. By immersing the child in a 3D interactive environment, the application aims to reduce the perception of pain and anxiety associated with medical treatments, providing a non-pharmacological method for pain management.","Children undergoing chemotherapy experience severe pain and emotional distress. Traditional methods of pain management, such as medication, often have side effects and lose effectiveness over time. Passive distractions like watching movies are often insufficient because they do not fully immerse the child or separate them from their immediate clinical environment.","A VR application that provides an immersive, interactive gaming experience. The game uses two distinct levels—one focused on target identification and another on defensive gameplay—to engage the child's senses and divert their attention away from the painful medical procedure.","1. Implement modern technologies and best practices.
2. Improve overall productivity and workflow optimization.
3. Implement intelligent AI-based functionalities.
4. Provide accurate and reliable functionality.
5. Improve workflow and management efficiency.
6. Improve decision-making using artificial intelligence techniques.
7. Enhance user experience and usability.
8. Support future scalability and feature expansion.","Virtual Reality for Pain Distraction. Our idea is to design and develop a virtual reality application that aims to help children with cancer control their pain during chemotherapy session, and not feeling long in the session. Our virtual reality application takes the patient from a real world to a virtual world using two level of the game. Our virtual reality application is divided into two levels; in the 1st level the patient use a gun to shot specific dinosaur that have a color and size which will be determined for him at the beginning of the game. The patient must shot all specific dinosaurs to win this level and be able to go to the next level. But in case of lose he should repeat this level again. In the 2nd level the patient use a gun to shot a specific dinosaur, but in this level the dinosaurs attack the patient and a certain number must be killed to win the game.. This project is a VR-based therapeutic game designed to distract pediatric cancer patients during chemotherapy sessions. By immersing the child in a 3D interactive environment, the application aims to reduce the perception of pain and anxiety associated with medical treatments, providing a non-pharmacological method for pain management.",virtual reality for pain distraction. our idea is to design and develop a virtual reality application that aims to help children with cancer control their pain during chemotherapy session and not feeling long in the session. our virtual reality application takes the patient from a real world to a virtual world using two level of the game. our virtual reality application is divided into two levels in the 1st level the patient use a gun to shot specific dinosaur that have a color and size which will be determined for him at the beginning of the game. the patient must shot all specific dinosaurs to win this level and be able to go to the next level. but in case of lose he should repeat this level again. in the 2nd level the patient use a gun to shot a specific dinosaur but in this level the dinosaurs attack the patient and a certain number must be killed to win the game.. this project is a vr-based therapeutic game designed to distract pediatric cancer patients during chemotherapy sessions. by immersing the child in a 3d interactive environment the application aims to reduce the perception of pain and anxiety associated with medical treatments providing a non-pharmacological method for pain management.,209,"['virtual reality application', 'shot specific dinosaur', 'level the patient', 'pain distraction', 'virtual world']",81.86
243,,Virtual Store Using Mobile,"Ahmed Mohamed Abouzeid, Mahmoud Shawky Mansour, Ahmed Naser Abd El-Hady, Ehab Gamal Abd El-Wahab, Ahmed Tarek Roushdy, Moataz Mohamed Esmail, Mahmoud El-Sayed Moharam",2012,"The project introduces a virtual store system that replaces physical product displays with boards containing product images and QR codes. Customers use their smartphones to scan these codes, review product details, and place orders, which are then routed to the nearest branch for fulfillment. The system aims to reduce the overhead costs of physical retail space while providing a convenient, anytime-anywhere shopping experience for customers.","This project proposes a mobile-based virtual shopping platform that allows retailers to establish a presence in high-traffic areas like subway stations or malls without the need for full-scale physical stores. By utilizing QR codes on product boards, customers can browse and purchase items directly from their mobile devices. The backend system manages order routing to the nearest distribution branch, optimizing inventory and delivery processes.","Investors face high costs for physical store construction, land acquisition, and maintenance, while customers often struggle with limited time and the inconvenience of traditional shopping, including travel and waiting times.","A virtual store system that uses QR codes to represent products, allowing customers to shop via mobile devices. The solution includes a distributed server architecture that routes orders to the nearest branch, enabling retailers to expand their reach with minimal physical infrastructure.","1. Improve overall productivity and workflow optimization.
2. Implement intelligent AI-based functionalities.
3. Improve mobile application usability and performance.
4. Enhance user experience and usability.
5. Reduce operational complexity and improve efficiency.
6. Provide accurate and reliable functionality.
7. Improve system performance and reliability.
8. Create a mobile-friendly and accessible application.","Virtual Store Using Mobile. The project introduces a virtual store system that replaces physical product displays with boards containing product images and QR codes. Customers use their smartphones to scan these codes, review product details, and place orders, which are then routed to the nearest branch for fulfillment. The system aims to reduce the overhead costs of physical retail space while providing a convenient, anytime-anywhere shopping experience for customers.. This project proposes a mobile-based virtual shopping platform that allows retailers to establish a presence in high-traffic areas like subway stations or malls without the need for full-scale physical stores. By utilizing QR codes on product boards, customers can browse and purchase items directly from their mobile devices. The backend system manages order routing to the nearest distribution branch, optimizing inventory and delivery processes.",virtual store using mobile. the project introduces a virtual store system that replaces physical product displays with boards containing product images and qr codes. customers use their smartphones to scan these codes review product details and place orders which are then routed to the nearest branch for fulfillment. the system aims to reduce the overhead costs of physical retail space while providing a convenient anytime-anywhere shopping experience for customers.. this project proposes a mobile-based virtual shopping platform that allows retailers to establish a presence in high-traffic areas like subway stations or malls without the need for full-scale physical stores. by utilizing qr codes on product boards customers can browse and purchase items directly from their mobile devices. the backend system manages order routing to the nearest distribution branch optimizing inventory and delivery processes.,133,"['mobile-based virtual shopping', 'physical product displays', 'replaces physical product', 'virtual shopping platform', 'product boards customers', 'virtual store system', 'codes review product']",94.39
244,,Voyage System (Virtual Tour),"Mostafa Magdy Mohammed Hegazy, Youssef Kelada Kelada Hanna, Fekry Osama Fekry Fouad, Ahmed Gamal Ahmed Barakat, Mohamed Fathy AbdulRahman Ismail, Toqa AbdulKarim Mohamed Mohamed Safan, Saad El Din Ahmed Saad Matbouli, Badr Mohamed Fouad Mohamed, Ahmed Atef Ahmed Mahmoud",2025,"Imagine being able to explore the wonders of Egypt like the Pyramids of Giza, the temples of Luxor, or the bustling streets of Cairo without leaving your home. This project is a virtual tour platform designed for people who love history, culture, and adventure but face challenges like safety concerns, high travel costs, or difficulty adapting to unfamiliar environments. The platform is organized by governorates and uses 3D and 360-degree technology to provide an immersive experience. It also features an AI voice-over for historical context and personalized recommendations based on user interests, budget, and time, while fostering a social community through user reviews.","The Voyage System is a comprehensive web-based virtual tourism platform that brings Egypt's landmarks to a global audience. It serves as a digital passport, allowing users to explore various regions through immersive 3D and 360-degree environments. The system integrates AI to provide personalized travel suggestions and educational voice-overs, while also incorporating community features like user ratings and reviews to enhance trust and social engagement.","Many people are unable to visit Egypt due to safety concerns, high travel costs, time constraints, lack of reliable information, and the difficulty of navigating unfamiliar environments.","A virtual tour platform that provides safe, affordable, and accessible exploration of Egypt from home. It offers 3D/360-degree immersive tours, AI-driven personalized recommendations, and reliable historical information, effectively acting as a personal tour guide and travel planner.","1. Improve learning experience and educational accessibility.
2. Provide accurate and reliable functionality.
3. Develop a scalable and maintainable solution.
4. Improve decision-making using artificial intelligence techniques.
5. Improve system performance and reliability.
6. Develop a responsive and user-friendly web application.","Voyage System (Virtual Tour). Imagine being able to explore the wonders of Egypt like the Pyramids of Giza, the temples of Luxor, or the bustling streets of Cairo without leaving your home. This project is a virtual tour platform designed for people who love history, culture, and adventure but face challenges like safety concerns, high travel costs, or difficulty adapting to unfamiliar environments. The platform is organized by governorates and uses 3D and 360-degree technology to provide an immersive experience. It also features an AI voice-over for historical context and personalized recommendations based on user interests, budget, and time, while fostering a social community through user reviews.. The Voyage System is a comprehensive web-based virtual tourism platform that brings Egypt's landmarks to a global audience. It serves as a digital passport, allowing users to explore various regions through immersive 3D and 360-degree environments. The system integrates AI to provide personalized travel suggestions and educational voice-overs, while also incorporating community features like user ratings and reviews to enhance trust and social engagement.",voyage system virtual tour . imagine being able to explore the wonders of egypt like the pyramids of giza the temples of luxor or the bustling streets of cairo without leaving your home. this project is a virtual tour platform designed for people who love history culture and adventure but face challenges like safety concerns high travel costs or difficulty adapting to unfamiliar environments. the platform is organized by governorates and uses 3d and 360-degree technology to provide an immersive experience. it also features an ai voice-over for historical context and personalized recommendations based on user interests budget and time while fostering a social community through user reviews.. the voyage system is a comprehensive web-based virtual tourism platform that brings egypt s landmarks to a global audience. it serves as a digital passport allowing users to explore various regions through immersive 3d and 360-degree environments. the system integrates ai to provide personalized travel suggestions and educational voice-overs while also incorporating community features like user ratings and reviews to enhance trust and social engagement.,173,"['virtual tourism platform', 'tour platform designed', 'cairo without leaving', 'voyage system virtual', 'love history culture', 'safety concerns high', 'system virtual tour', 'leaving your home', 'pyramids of giza', 'giza the temples', 'temples of luxor', 'bustling streets', 'streets of cairo']",74.96
245,,V-Traker,"Ahmed Jehad Saad Motawea, Ahmed Refaat Hamed Elmoughazy, Ahmed Samir Ibrahim El-Aama, Karam Ibrahim Abdullah Awad, Mohamed Ahmed Ahmed Hassan, Omar Mounir Hanafy Saleh",2018,"V-Traker application is an android and Arduino based application that provides the users with services that they might need during their life, either for saving time, saving efforts or security. This application benefits from the services that provided by smart phones and Arduino such as Bluetooth, Vibration, ...etc.","Did you know that the average person spends 10 minutes a day looking for things they own but cannot find. The idea is that you attach something to whatever is important to you such as a handbag or your keys and register the object with an android application on your smart phone using Bluetooth. Once registered, whenever you open the app (or go out of range of the object) you'll be able to track where it was and receive an alert with the last known location. There are lots of different ways to do that tracking and different form factors of the device so we've rounded the latest up for you to make an easier decision. After the jump we've got a look at the options available and which ones have the best features. This issue and the fact that smart phones became very common, made us thinking to find a good and an easy way to help the people and make it easier to find their lost stuff than before, and from here we got the idea of our graduation project which is “V-Traker”","It always seems like you’re losing your wallet or keys, right? Valuables like keys, wallet, pets...etc. are able to be lost or stolen and it's difficult to find it easily.",V-Traker is a device uses Bluetooth to communicate with the companion android application on your smartphone. The V-Traker app discovers a V-Traker device and establishes a connection to it using the Bluetooth signal.,"1. Enable real-time monitoring and tracking capabilities.
2. Improve tracking accuracy and operational visibility.
3. Reduce operational complexity and improve efficiency.
4. Improve system performance and reliability.
5. Support future scalability and feature expansion.","V-Traker. V-Traker application is an android and Arduino based application that provides the users with services that they might need during their life, either for saving time, saving efforts or security. This application benefits from the services that provided by smart phones and Arduino such as Bluetooth, Vibration, ...etc.. Did you know that the average person spends 10 minutes a day looking for things they own but cannot find. The idea is that you attach something to whatever is important to you such as a handbag or your keys and register the object with an android application on your smart phone using Bluetooth. Once registered, whenever you open the app (or go out of range of the object) you'll be able to track where it was and receive an alert with the last known location. There are lots of different ways to do that tracking and different form factors of the device so we've rounded the latest up for you to make an easier decision. After the jump we've got a look at the options available and which ones have the best features. This issue and the fact that smart phones became very common, made us thinking to find a good and an easy way to help the people and make it easier to find their lost stuff than before, and from here we got the idea of our graduation project which is “V-Traker”",v-traker. v-traker application is an android and arduino based application that provides the users with services that they might need during their life either for saving time saving efforts or security. this application benefits from the services that provided by smart phones and arduino such as bluetooth vibration ...etc.. did you know that the average person spends 10 minutes a day looking for things they own but cannot find. the idea is that you attach something to whatever is important to you such as a handbag or your keys and register the object with an android application on your smart phone using bluetooth. once registered whenever you open the app or go out of range of the object you ll be able to track where it was and receive an alert with the last known location. there are lots of different ways to do that tracking and different form factors of the device so we ve rounded the latest up for you to make an easier decision. after the jump we ve got a look at the options available and which ones have the best features. this issue and the fact that smart phones became very common made us thinking to find a good and an easy way to help the people and make it easier to find their lost stuff than before and from here we got the idea of our graduation project which is v-traker,237,"['arduino based application', 'v-traker application', 'time saving efforts', 'android application', 'efforts or security', 'saving time saving', 'smart phones']",87.16
246,,Vulnerability Assessment Tool,"Ali Elsayed Ragab, Manar Abdulrahman Ahmed, Mohab Mustafa Fathy, Mohammed Ehab Hassan, Yomna Mohammed Abdelfatah",2024,"In the rapidly evolving landscape of cybersecurity, organizations face persistent threats and vulnerabilities that pose significant risks to their sensitive information and critical systems. To address these challenges, this graduation project introduces a state-of-the-art Vulnerability Assessment Tool (VAT) designed to provide a comprehensive and efficient approach to identify, analyze, and mitigate potential security weaknesses within an organization's infrastructure. The Vulnerability Assessment Tool project is a strategic initiative aimed at developing a robust software solution to fortify organizational defenses against cyber threats. In an era where digital assets face incessant risks, this project seeks to empower security professionals and IT administrators with an advanced tool capable of proactively identifying, assessing, and prioritizing vulnerabilities within infrastructures.","This project presents an intelligent surveillance and monitoring system designed to enhance public safety through real-time weapon detection and analysis. The system utilizes advanced deep learning and computer vision techniques, specifically the Faster R-CNN algorithm combined with the Inception V2 architecture, to accurately identify firearms and cold weapons from surveillance camera feeds. Once a weapon is detected, the platform automatically triggers alerts to notify security personnel, enabling rapid intervention and threat prevention. In addition to detection capabilities, the system provides detailed information about commonly used weapons, including firing range, rate of fire, and damage level, supporting security teams, law enforcement agencies, and forensic investigators in criminal analysis and decision-making. By integrating AI-powered detection with intelligent monitoring and data analysis features, the system aims to improve surveillance efficiency, strengthen security operations, and reduce the risks associated with violent incidents and attacks.","Manual vulnerability assessment processes are labor-intensive, time-consuming, and prone to human error, leading to gaps in security coverage. Furthermore, the rapidly evolving threat landscape makes it difficult for organizations to keep up with new vulnerabilities, leaving them exposed to potential cyber-attacks.","The project proposes a comprehensive Vulnerability Assessment Tool (VAT) designed to automatically scan networks, systems, and applications for security weaknesses and misconfigurations. It generates detailed reports highlighting potential vulnerabilities and provides actionable mitigation steps to enhance the overall cybersecurity posture and prevent potential cyber attacks.","1. Implement modern technologies and best practices.
2. Implement secure authentication and authorization mechanisms.
3. Develop a scalable and maintainable solution.
4. Improve overall productivity and workflow optimization.
5. Enhance user experience and usability.","Vulnerability Assessment Tool. In the rapidly evolving landscape of cybersecurity, organizations face persistent threats and vulnerabilities that pose significant risks to their sensitive information and critical systems. To address these challenges, this graduation project introduces a state-of-the-art Vulnerability Assessment Tool (VAT) designed to provide a comprehensive and efficient approach to identify, analyze, and mitigate potential security weaknesses within an organization's infrastructure. The Vulnerability Assessment Tool project is a strategic initiative aimed at developing a robust software solution to fortify organizational defenses against cyber threats. In an era where digital assets face incessant risks, this project seeks to empower security professionals and IT administrators with an advanced tool capable of proactively identifying, assessing, and prioritizing vulnerabilities within infrastructures.. This project presents an intelligent surveillance and monitoring system designed to enhance public safety through real-time weapon detection and analysis. The system utilizes advanced deep learning and computer vision techniques, specifically the Faster R-CNN algorithm combined with the Inception V2 architecture, to accurately identify firearms and cold weapons from surveillance camera feeds. Once a weapon is detected, the platform automatically triggers alerts to notify security personnel, enabling rapid intervention and threat prevention. In addition to detection capabilities, the system provides detailed information about commonly used weapons, including firing range, rate of fire, and damage level, supporting security teams, law enforcement agencies, and forensic investigators in criminal analysis and decision-making. By integrating AI-powered detection with intelligent monitoring and data analysis features, the system aims to improve surveillance efficiency, strengthen security operations, and reduce the risks associated with violent incidents and attacks.",vulnerability assessment tool. in the rapidly evolving landscape of cybersecurity organizations face persistent threats and vulnerabilities that pose significant risks to their sensitive information and critical systems. to address these challenges this graduation project introduces a state-of-the-art vulnerability assessment tool vat designed to provide a comprehensive and efficient approach to identify analyze and mitigate potential security weaknesses within an organization s infrastructure. the vulnerability assessment tool project is a strategic initiative aimed at developing a robust software solution to fortify organizational defenses against cyber threats. in an era where digital assets face incessant risks this project seeks to empower security professionals and it administrators with an advanced tool capable of proactively identifying assessing and prioritizing vulnerabilities within infrastructures.. this project presents an intelligent surveillance and monitoring system designed to enhance public safety through real-time weapon detection and analysis. the system utilizes advanced deep learning and computer vision techniques specifically the faster r-cnn algorithm combined with the inception v2 architecture to accurately identify firearms and cold weapons from surveillance camera feeds. once a weapon is detected the platform automatically triggers alerts to notify security personnel enabling rapid intervention and threat prevention. in addition to detection capabilities the system provides detailed information about commonly used weapons including firing range rate of fire and damage level supporting security teams law enforcement agencies and forensic investigators in criminal analysis and decision-making. by integrating ai-powered detection with intelligent monitoring and data analysis features the system aims to improve surveillance efficiency strengthen security operations and reduce the risks associated with violent incidents and attacks.,258,"['cybersecurity organizations face', 'vulnerability assessment tool', 'organizations face persistent', 'rapidly evolving landscape', 'monitoring system designed', 'assessment tool project', 'face persistent threats', 'pose significant risks', 'assessment tool vat', 'tool vat designed']",100.0
247,,Wasally: Online Shopping System,"Mahmoud Sobhy Ghoneim Sallam, Omar Ehab Mohamed Fathy, Omar Ramzy Abd Al-khalek Al-batawy, Mustafa Sa'eed Abd Al-fattah Sayed, Islam Reda Abd Al-hafeez Mash'al",2018,"Wasally is a lifestyle e-commerce android application which retails various fashion and lifestyle products. It enables registered users to purchase products instantly using PayPal or Cash on Delivery. The system provides administrators and managers with tools to view orders and manage the shopping process, aiming to save consumer time and effort through a multi-tiered architecture.","Wasally is an online shopping platform designed for mobile devices. It features four distinct user roles: Visitor (browsing), User (purchasing), Shop Owner (product management), and Delivery Boy (order fulfillment). The system focuses on providing a seamless shopping experience with integrated payment options and efficient local delivery.","The project addresses several e-commerce challenges: poor product quality (addressed via feedback/ratings), sizing issues (addressed by providing detailed dimensions), limited payment methods (addressed by adding Cash on Delivery), and slow delivery times (addressed by a direct shop-to-consumer delivery model).","A mobile-based e-commerce application that connects local shops directly to consumers. It implements a robust backend using PHP and a relational database, providing a user-friendly interface for browsing, secure payment processing, and a streamlined delivery management system.","1. Implement modern technologies and best practices.
2. Develop a scalable and maintainable solution.
3. Improve workflow and management efficiency.
4. Support future scalability and feature expansion.
5. Improve system performance and reliability.
6. Provide accurate and reliable functionality.","Wasally: Online Shopping System. Wasally is a lifestyle e-commerce android application which retails various fashion and lifestyle products. It enables registered users to purchase products instantly using PayPal or Cash on Delivery. The system provides administrators and managers with tools to view orders and manage the shopping process, aiming to save consumer time and effort through a multi-tiered architecture.. Wasally is an online shopping platform designed for mobile devices. It features four distinct user roles: Visitor (browsing), User (purchasing), Shop Owner (product management), and Delivery Boy (order fulfillment). The system focuses on providing a seamless shopping experience with integrated payment options and efficient local delivery.",wasally online shopping system. wasally is a lifestyle e-commerce android application which retails various fashion and lifestyle products. it enables registered users to purchase products instantly using paypal or cash on delivery. the system provides administrators and managers with tools to view orders and manage the shopping process aiming to save consumer time and effort through a multi-tiered architecture.. wasally is an online shopping platform designed for mobile devices. it features four distinct user roles visitor browsing user purchasing shop owner product management and delivery boy order fulfillment . the system focuses on providing a seamless shopping experience with integrated payment options and efficient local delivery.,106,"['e-commerce android application', 'lifestyle e-commerce android', 'application which retails', 'wasally online shopping', 'retails various fashion', 'online shopping system', 'lifestyle products']",100.0
248,,Weapon Detection System for Smart Surveillance,"Abdel-lateef Eid Abdel-lateef Mohamed, Tarek Ismail Fathy El-Sayed, Sherif Samy Mohamed El-Sayed, Nadia Yasser Fouad Elrbh, Hanaa Nassef Abdel-razek Abdel-hady, Huda Ahmed Mustafa Ahmed, Abdullah Galal Abdullah hasan",2022,"This project presents an automated weapon detection system designed for smart surveillance applications. By leveraging deep learning and computer vision techniques, the system identifies and classifies handheld weapons such as guns and knives in real-time video streams. The goal is to enhance public safety by reducing reliance on manual monitoring, providing faster response times, and improving the accuracy of threat detection in crowded or complex environments.","The project focuses on developing a robust AI-based surveillance system capable of detecting weapons in real-time. It addresses the limitations of traditional manual security monitoring by utilizing Convolutional Neural Networks (CNNs) to process video feeds. The system is designed to handle challenges such as self-occlusion and background interference, providing an automated alert mechanism for security personnel to intervene in potential criminal activities.","Traditional video surveillance relies on human operators to manually monitor footage, which is prone to fatigue, slow response times, and human error. Furthermore, weapon detection is inherently difficult due to challenges like self-occlusion, complex backgrounds, and the visual similarity between weapons and everyday objects.","The proposed solution is an automated, AI-driven surveillance system that employs deep learning models, specifically Convolutional Neural Networks (CNNs), to perform real-time object detection and classification of weapons. This system automates the monitoring process, provides immediate alerts upon detection, and improves the consistency and scalability of security operations in public spaces.","1. Improve overall productivity and workflow optimization.
2. Enhance system security and protect sensitive user data.
3. Improve system performance and reliability.
4. Implement modern technologies and best practices.
5. Develop a scalable and maintainable solution.","Weapon Detection System for Smart Surveillance. This project presents an automated weapon detection system designed for smart surveillance applications. By leveraging deep learning and computer vision techniques, the system identifies and classifies handheld weapons such as guns and knives in real-time video streams. The goal is to enhance public safety by reducing reliance on manual monitoring, providing faster response times, and improving the accuracy of threat detection in crowded or complex environments.. The project focuses on developing a robust AI-based surveillance system capable of detecting weapons in real-time. It addresses the limitations of traditional manual security monitoring by utilizing Convolutional Neural Networks (CNNs) to process video feeds. The system is designed to handle challenges such as self-occlusion and background interference, providing an automated alert mechanism for security personnel to intervene in potential criminal activities.",weapon detection system for smart surveillance. this project presents an automated weapon detection system designed for smart surveillance applications. by leveraging deep learning and computer vision techniques the system identifies and classifies handheld weapons such as guns and knives in real-time video streams. the goal is to enhance public safety by reducing reliance on manual monitoring providing faster response times and improving the accuracy of threat detection in crowded or complex environments.. the project focuses on developing a robust ai-based surveillance system capable of detecting weapons in real-time. it addresses the limitations of traditional manual security monitoring by utilizing convolutional neural networks cnns to process video feeds. the system is designed to handle challenges such as self-occlusion and background interference providing an automated alert mechanism for security personnel to intervene in potential criminal activities.,134,"['smart surveillance applications.', 'ai-based surveillance system', 'classifies handheld weapons', 'surveillance system capable', 'automated weapon detection', 'computer vision techniques', 'detection system designed', 'leveraging deep learning', 'weapon detection system', 'real-time video streams']",91.25
249,,Weapon Detection System Using Digital Image Processing,"Karim Hassan, Karim Ashraf, Laila Ibrahim, Mahmoud Hamdy",2020,"Recently, crime rates have increased in many regions and countries, which makes it difficult for police personnel to control the situation as soon as possible because of the lack of a good surveillance system that alerts to the sence ofa danger or armed robbery in a place and sends a signal to the concerned authorities to act and deal with the incident as soon as possible, but now the surveillance cameras are playing a big role in detecting crimes very easily than before, and this is why we have created a system that detects various criminal weapons of all kinds, where the system creates a square on the suspected weapon (knife or gun) to warn of the existence of an operation Robbery or terrorist act, and among the types of these weapons we have focused on certain weapons that are usually used in robbery operations, including (Pistols, Rifles, Handguns, Revolvers, Shotguns, Bolt-Action, knifes) and the model that helped us to make a detection on weapons is Faster R-CNN with Inception-V2, as it provides the best performance over the rest of the recognized models.","Our Solution We provide a software solution which plays a role in detection and surveillance of weapons using Faster R-CNN method and inception V2 architecture, this approach showed a good accuracy in its performance. It can detect weapons either guns or cold weapons then alarm is triggered so the security members can deal with the case before anything wrong happens. Also our system has the most used weapons in attacks and information about them like firing range, rate of fire and the damage of the weapon. These information help the police department and Forensic Medicine in their searches for criminals and used weapons in attacks.","The lack of an integrated digital system reduces the efficiency of managing operations and organizing information effectively. Furthermore, users often face difficulties accessing services and obtaining relevant information in a timely manner, leading to delays, reduced productivity, and poor overall user experience.","Recently, crime rates have increased in many regions and countries, which makes it difficult for police personnel to control the situation as soon as possible because of the lack of a good surveillance system that alerts to the sence ofa danger or armed robbery in a place and sends a signal to the concerned authorities to act and deal with the incident as soon as possible, but now the surveillance","1. Implement intelligent AI-based functionalities.
2. Implement modern technologies and best practices.
3. Develop a scalable and maintainable solution.
4. Provide accurate and reliable functionality.
5. Reduce operational complexity and improve efficiency.","Weapon Detection System Using Digital Image Processing. Recently, crime rates have increased in many regions and countries, which makes it difficult for police personnel to control the situation as soon as possible because of the lack of a good surveillance system that alerts to the sence ofa danger or armed robbery in a place and sends a signal to the concerned authorities to act and deal with the incident as soon as possible, but now the surveillance cameras are playing a big role in detecting crimes very easily than before, and this is why we have created a system that detects various criminal weapons of all kinds, where the system creates a square on the suspected weapon (knife or gun) to warn of the existence of an operation Robbery or terrorist act, and among the types of these weapons we have focused on certain weapons that are usually used in robbery operations, including (Pistols, Rifles, Handguns, Revolvers, Shotguns, Bolt-Action, knifes) and the model that helped us to make a detection on weapons is Faster R-CNN with Inception-V2, as it provides the best performance over the rest of the recognized models.. Our Solution We provide a software solution which plays a role in detection and surveillance of weapons using Faster R-CNN method and inception V2 architecture, this approach showed a good accuracy in its performance. It can detect weapons either guns or cold weapons then alarm is triggered so the security members can deal with the case before anything wrong happens. Also our system has the most used weapons in attacks and information about them like firing range, rate of fire and the damage of the weapon. These information help the police department and Forensic Medicine in their searches for criminals and used weapons in attacks.",weapon detection system using digital image processing. recently crime rates have increased in many regions and countries which makes it difficult for police personnel to control the situation as soon as possible because of the lack of a good surveillance system that alerts to the sence ofa danger or armed robbery in a place and sends a signal to the concerned authorities to act and deal with the incident as soon as possible but now the surveillance cameras are playing a big role in detecting crimes very easily than before and this is why we have created a system that detects various criminal weapons of all kinds where the system creates a square on the suspected weapon knife or gun to warn of the existence of an operation robbery or terrorist act and among the types of these weapons we have focused on certain weapons that are usually used in robbery operations including pistols rifles handguns revolvers shotguns bolt-action knifes and the model that helped us to make a detection on weapons is faster r-cnn with inception-v2 as it provides the best performance over the rest of the recognized models.. our solution we provide a software solution which plays a role in detection and surveillance of weapons using faster r-cnn method and inception v2 architecture this approach showed a good accuracy in its performance. it can detect weapons either guns or cold weapons then alarm is triggered so the security members can deal with the case before anything wrong happens. also our system has the most used weapons in attacks and information about them like firing range rate of fire and the damage of the weapon. these information help the police department and forensic medicine in their searches for criminals and used weapons in attacks.,295,"['robbery operations including', 'operations including pistols', 'shotguns bolt-action knifes', 'digital image processing', 'good surveillance system', 'weapon detection system', 'suspected weapon knife', 'recently crime rates', 'faster r-cnn method']",92.92
250,,Weather reporting system based on data mining and IoT,"Mustafa Mahmoud abd elkawy, Kholod jamal eldin shazly, Mustafa Zain marzouk, Hager ahmed elziny, Mustafa Nabil Mohamed",2019,"This project addresses the critical need for localized weather monitoring and forecasting, particularly in areas like Benha, which currently lack dedicated weather stations. Human activities are significantly impacted by weather conditions, making accurate and timely information essential. The proposed solution involves developing a low-cost weather station leveraging IoT for data collection and data mining techniques for analysis and prediction. The primary objectives are to provide real-time weather reporting and accurate forecasting for Benha and its surrounding regions, thereby enabling better planning and understanding of local weather patterns.","Human activity is influenced by weather conditions, monitoring of weather conditions can help in controlling the activity. The weather change is not the same at the Benba area and the nearest places. It is important to monitor and study the pattern of weather at surrounding. The pattern and trend of weather at Benba and surrounding can be identified by making analysis study of weather data from hydrological station. Although there is a big need for weather stations, we have only 15 weather stations across the country reporting [1]. While there is no weather station in our city Benha. This means that each of these stations represents weather conditions on an area of 100, 000 square kilometers. Unfortunately, weather monitoring sites are unevenly distributed across the country with some sites closed at night. During ""fair"" weather conditions, such representation may be appropriate for the service of most potential end users. However, during the often variable weather this limited network usually fails to discover and depict local weather conditions.","Human activity is influenced by weather conditions, monitoring of weather conditions can help in controlling the activity. The weather change is not the same at the Benba area and the nearest places. It is important to monitor and study the pattern of weather at surrounding. The pattern and trend of weather at Benba and surrounding can be identified by making analysis study of weather data from hydrological station.","This work shows a development model of a low cost weather station, using low cost hardware and software, connected to data mining model using internet that is giving real time data taken from the stations, as well as weather forecasting. this will make it Easy to use this weather station in many places that does not have professional weather stations like Benha city where we will setup our project. The unified process model development approach will be used to develop the system.","1. Improve overall productivity and workflow optimization.
2. Enhance user experience and usability.
3. Generate accurate analytical insights and visualizations.
4. Provide efficient data analysis and reporting features.
5. Implement intelligent AI-based functionalities.
6. Provide accurate and reliable functionality.
7. Reduce operational complexity and improve efficiency.
8. Support future scalability and feature expansion.","Weather reporting system based on data mining and IoT. This project addresses the critical need for localized weather monitoring and forecasting, particularly in areas like Benha, which currently lack dedicated weather stations. Human activities are significantly impacted by weather conditions, making accurate and timely information essential. The proposed solution involves developing a low-cost weather station leveraging IoT for data collection and data mining techniques for analysis and prediction. The primary objectives are to provide real-time weather reporting and accurate forecasting for Benha and its surrounding regions, thereby enabling better planning and understanding of local weather patterns.. Human activity is influenced by weather conditions, monitoring of weather conditions can help in controlling the activity. The weather change is not the same at the Benba area and the nearest places. It is important to monitor and study the pattern of weather at surrounding. The pattern and trend of weather at Benba and surrounding can be identified by making analysis study of weather data from hydrological station. Although there is a big need for weather stations, we have only 15 weather stations across the country reporting [1]. While there is no weather station in our city Benha. This means that each of these stations represents weather conditions on an area of 100, 000 square kilometers. Unfortunately, weather monitoring sites are unevenly distributed across the country with some sites closed at night. During ""fair"" weather conditions, such representation may be appropriate for the service of most potential end users. However, during the often variable weather this limited network usually fails to discover and depict local weather conditions.",weather reporting system based on data mining and iot. this project addresses the critical need for localized weather monitoring and forecasting particularly in areas like benha which currently lack dedicated weather stations. human activities are significantly impacted by weather conditions making accurate and timely information essential. the proposed solution involves developing a low-cost weather station leveraging iot for data collection and data mining techniques for analysis and prediction. the primary objectives are to provide real-time weather reporting and accurate forecasting for benha and its surrounding regions thereby enabling better planning and understanding of local weather patterns.. human activity is influenced by weather conditions monitoring of weather conditions can help in controlling the activity. the weather change is not the same at the benba area and the nearest places. it is important to monitor and study the pattern of weather at surrounding. the pattern and trend of weather at benba and surrounding can be identified by making analysis study of weather data from hydrological station. although there is a big need for weather stations we have only 15 weather stations across the country reporting 1 . while there is no weather station in our city benha. this means that each of these stations represents weather conditions on an area of 100 000 square kilometers. unfortunately weather monitoring sites are unevenly distributed across the country with some sites closed at night. during fair weather conditions such representation may be appropriate for the service of most potential end users. however during the often variable weather this limited network usually fails to discover and depict local weather conditions.,264,"['weather conditions monitoring', 'dedicated weather stations', 'reporting system based', 'local weather', 'data mining']",83.07
251,,Web Based System for Finding Missing People,"Ahmed Mohamed Ahmed Soliman, Ziad Refaat Ahmed Abdelaty, Ahmed Mohamed Fawzi Mohamed, El-Shazly Mohamed Dahab Mohamed, Salah Kamal Ali Ashour",2023,"A large number of people disappear each day due to countless reasons such as age, mental conditions, Alzheimer's disease, etc. Finding a missing person is a very difficult task, although we are all updated through social media, the traditional search journey requires much paperwork to be done and it is a process that takes a lot of time and effort. Therefore, this project presents a system to solve this big problem that threatens children, people with special needs, and the elderly, especially those with health problems. So that it helps the public or police departments by speeding up the search process using face recognition technology or searching using the basic data of the missing such as name, gender, age, etc. The way this system works is when a person goes missing, his family can search for him using his photo, which is stored in a database. If no match is found, they can upload the details to the database. The other case is if a match occurred between the previously stored data and the photo uploaded by the family, they can communicate with the finder of the missing person.","This project is a web and mobile-based system designed to facilitate the search for missing persons, including children, the elderly, and individuals with special needs. It leverages artificial intelligence and face recognition technology to match uploaded photos of missing individuals against a centralized database, providing a more efficient and accurate alternative to fragmented social media searches.","The problem of missing persons is a global issue with thousands disappearing annually in Egypt alone. Current search methods rely heavily on social media, which is often inaccurate, lacks centralized data, and fails to provide the necessary tools for effective identification and recovery, leading to emotional and financial distress for families.","The project proposes a centralized web and mobile platform that integrates face recognition technology to automate the identification process. It allows families to report missing persons and search for them using specific criteria (name, age, gender, location) or by uploading photos, which are then compared against a secure database to facilitate quick reunions.","1. Improve system performance and reliability.
2. Develop a scalable and maintainable solution.
3. Improve overall productivity and workflow optimization.
4. Improve accessibility across different devices and platforms.
5. Support future scalability and feature expansion.","Web Based System for Finding Missing People. A large number of people disappear each day due to countless reasons such as age, mental conditions, Alzheimer's disease, etc. Finding a missing person is a very difficult task, although we are all updated through social media, the traditional search journey requires much paperwork to be done and it is a process that takes a lot of time and effort. Therefore, this project presents a system to solve this big problem that threatens children, people with special needs, and the elderly, especially those with health problems. So that it helps the public or police departments by speeding up the search process using face recognition technology or searching using the basic data of the missing such as name, gender, age, etc. The way this system works is when a person goes missing, his family can search for him using his photo, which is stored in a database. If no match is found, they can upload the details to the database. The other case is if a match occurred between the previously stored data and the photo uploaded by the family, they can communicate with the finder of the missing person.. This project is a web and mobile-based system designed to facilitate the search for missing persons, including children, the elderly, and individuals with special needs. It leverages artificial intelligence and face recognition technology to match uploaded photos of missing individuals against a centralized database, providing a more efficient and accurate alternative to fragmented social media searches.",web based system for finding missing people. a large number of people disappear each day due to countless reasons such as age mental conditions alzheimer s disease etc. finding a missing person is a very difficult task although we are all updated through social media the traditional search journey requires much paperwork to be done and it is a process that takes a lot of time and effort. therefore this project presents a system to solve this big problem that threatens children people with special needs and the elderly especially those with health problems. so that it helps the public or police departments by speeding up the search process using face recognition technology or searching using the basic data of the missing such as name gender age etc. the way this system works is when a person goes missing his family can search for him using his photo which is stored in a database. if no match is found they can upload the details to the database. the other case is if a match occurred between the previously stored data and the photo uploaded by the family they can communicate with the finder of the missing person.. this project is a web and mobile-based system designed to facilitate the search for missing persons including children the elderly and individuals with special needs. it leverages artificial intelligence and face recognition technology to match uploaded photos of missing individuals against a centralized database providing a more efficient and accurate alternative to fragmented social media searches.,253,"['face recognition technology', 'mental conditions alzheimer', 'threatens children people', 'finding missing people', 'age mental conditions', 'web based system', 'people disappear', 'social media']",62.46
252,,Web based system to enhance tourism sustainability in EGYPT,"Rawan Khaled abdelbary barhoma, Hozifah ameen ahmed nassar, Ibrahim raafat gad Ibrahim, Islam Hassan mohammed hassan, Sohila saad Mahmoud ebrahim, Ahmed mostafa ahmed Khalil",2021,"The project aims to develop a comprehensive web-based platform to promote tourism in Egypt by providing users with an easy-to-use interface to explore destinations, book tours, and find travel packages. The system addresses the lack of digital visibility for many unique Egyptian tourist locations, especially in the wake of the COVID-19 pandemic, by offering a centralized, user-friendly, and efficient booking experience that caters to various travel styles and budgets.","Dream Tour Holidays is a web-based tourism management system designed to facilitate travel planning within Egypt. The platform features a home page for searching destinations by keyword and budget, a dedicated destination page, a categorized packages page, a day tours booking system, and a special offers section. It also includes an 'About Us' page and a contact system to ensure seamless communication between the service provider and the traveler.","Many unique and beautiful tourist destinations in Egypt remain unknown to travelers due to a lack of digital promotion. Furthermore, the COVID-19 pandemic caused significant disruptions to international travel, highlighting the need for a robust platform that encourages domestic and local tourism by making travel services, facilities, and booking processes more accessible and organized.","The team developed a web-based system that acts as a digital hub for Egyptian tourism. The solution provides a centralized database for travel packages, day tours, and accommodation options, allowing users to filter by budget, interest, and location. By simplifying the booking process and providing detailed information about lesser-known sites, the platform aims to make tourism in Egypt more sustainable and accessible.","1. Implement modern technologies and best practices.
2. Optimize resource allocation and task management.
3. Enhance user experience and usability.
4. Develop a responsive and user-friendly web application.
5. Support future scalability and feature expansion.
6. Provide accurate and reliable functionality.","Web based system to enhance tourism sustainability in EGYPT. The project aims to develop a comprehensive web-based platform to promote tourism in Egypt by providing users with an easy-to-use interface to explore destinations, book tours, and find travel packages. The system addresses the lack of digital visibility for many unique Egyptian tourist locations, especially in the wake of the COVID-19 pandemic, by offering a centralized, user-friendly, and efficient booking experience that caters to various travel styles and budgets.. Dream Tour Holidays is a web-based tourism management system designed to facilitate travel planning within Egypt. The platform features a home page for searching destinations by keyword and budget, a dedicated destination page, a categorized packages page, a day tours booking system, and a special offers section. It also includes an 'About Us' page and a contact system to ensure seamless communication between the service provider and the traveler.",web based system to enhance tourism sustainability in egypt. the project aims to develop a comprehensive web-based platform to promote tourism in egypt by providing users with an easy-to-use interface to explore destinations book tours and find travel packages. the system addresses the lack of digital visibility for many unique egyptian tourist locations especially in the wake of the covid-19 pandemic by offering a centralized user-friendly and efficient booking experience that caters to various travel styles and budgets.. dream tour holidays is a web-based tourism management system designed to facilitate travel planning within egypt. the platform features a home page for searching destinations by keyword and budget a dedicated destination page a categorized packages page a day tours booking system and a special offers section. it also includes an about us page and a contact system to ensure seamless communication between the service provider and the traveler.,147,"['comprehensive web-based platform', 'enhance tourism sustainability', 'web-based tourism management', 'tourism management system', 'explore destinations book', 'sustainability in egypt', 'destinations book tours', 'find travel packages', 'web based system', 'promote tourism']",100.0
253,,Web-Based Assistance CRM system for performance monitoring and improvement,"Ahmed Reda Ahmed Abdelmoty, Ahmed Shahat Ebrahim Taha, Ahmed Fathy Mohamed Mekawy, Ahmed Elsayed Ali Elsayed, Ahmed Khaled Behary Elsayed, Ahmed Emad Elsayed, Ahmed Soliman Abdelrahman",2023,"Unfortunately, there are still many companies that utilize Internet-based Customer Relationship Management or known as E-CRM well, customers have difficulty obtaining information and also convey complaints to the company. Many companies just use social media as a media for the delivery of information, complaints and criticism from its customers, and also took a long time for the employee to respond to complaints from the customer. Employee performance is also an important factor in maintaining customer relationships, with an adequate number of employees and good competence, employees are able to serve customers well . And we will begin to talk about the importance of E-CRM in marketing clothes online, and this is considered one of the most popular and most shopping areas in the world. Hence the idea of adding the E-CRM system to improve relations with customers more in order to meet their needs and achieve customer satisfaction by adding the E-CRM system to clothing marketing sites that are considered Now the most famous at all in the present day. There are many kinds of customer relationship management platforms. In the past, CRM software was targeted at enterprise-level companies. That's no longer the case. Small businesses are now able to implement a CRM platform without breaking their brains or budgets. That's great news because implementing a CRM solution can increase sales by double-digit percentage points.","Through the CRM approach and the systems used to facilitate it, businesses learn about their target audiences and how to best cater to their needs. Customer relationship management (CRM) is the combination of practices, strategies and technologies that companies use to manage and analyze customer interactions and data throughout the customer lifecycle, with the goal of improving customer service relationships and assisting in customer retention and driving sales growth. CRM systems compile customer data across different channels, or points of contact between the customer and the company, which could include the company's website, telephone, live chat, direct mail, marketing materials and social media. CRM systems can also give customer-facing staff detailed information on customers' personal information, purchase history, buying preferences and concerns.","Users who want to shop online, there are some problems such as communication and interaction between them and the employees who work within the organization... So we ask some questions about how to solve these problems? • How to communicate and interact with the clients? • How about collecting information about the customer? • How to improve the performance of employees within the organization?","The proposed solution is a web-based E-CRM system designed to bridge the communication gap between online customers and organizational staff. By centralizing customer data and interaction history, the system enables businesses to monitor employee performance, streamline complaint resolution, and provide personalized services to enhance customer retention and sales.","1. Enhance user experience and usability.
2. Improve overall productivity and workflow optimization.
3. Improve workflow and management efficiency.
4. Implement modern technologies and best practices.
5. Develop a scalable and maintainable solution.","Web-Based Assistance CRM system for performance monitoring and improvement. Unfortunately, there are still many companies that utilize Internet-based Customer Relationship Management or known as E-CRM well, customers have difficulty obtaining information and also convey complaints to the company. Many companies just use social media as a media for the delivery of information, complaints and criticism from its customers, and also took a long time for the employee to respond to complaints from the customer. Employee performance is also an important factor in maintaining customer relationships, with an adequate number of employees and good competence, employees are able to serve customers well . And we will begin to talk about the importance of E-CRM in marketing clothes online, and this is considered one of the most popular and most shopping areas in the world. Hence the idea of adding the E-CRM system to improve relations with customers more in order to meet their needs and achieve customer satisfaction by adding the E-CRM system to clothing marketing sites that are considered Now the most famous at all in the present day. There are many kinds of customer relationship management platforms. In the past, CRM software was targeted at enterprise-level companies. That's no longer the case. Small businesses are now able to implement a CRM platform without breaking their brains or budgets. That's great news because implementing a CRM solution can increase sales by double-digit percentage points.. Through the CRM approach and the systems used to facilitate it, businesses learn about their target audiences and how to best cater to their needs. Customer relationship management (CRM) is the combination of practices, strategies and technologies that companies use to manage and analyze customer interactions and data throughout the customer lifecycle, with the goal of improving customer service relationships and assisting in customer retention and driving sales growth. CRM systems compile customer data across different channels, or points of contact between the customer and the company, which could include the company's website, telephone, live chat, direct mail, marketing materials and social media. CRM systems can also give customer-facing staff detailed information on customers' personal information, purchase history, buying preferences and concerns.",web-based assistance crm system for performance monitoring and improvement. unfortunately there are still many companies that utilize internet-based customer relationship management or known as e-crm well customers have difficulty obtaining information and also convey complaints to the company. many companies just use social media as a media for the delivery of information complaints and criticism from its customers and also took a long time for the employee to respond to complaints from the customer. employee performance is also an important factor in maintaining customer relationships with an adequate number of employees and good competence employees are able to serve customers well . and we will begin to talk about the importance of e-crm in marketing clothes online and this is considered one of the most popular and most shopping areas in the world. hence the idea of adding the e-crm system to improve relations with customers more in order to meet their needs and achieve customer satisfaction by adding the e-crm system to clothing marketing sites that are considered now the most famous at all in the present day. there are many kinds of customer relationship management platforms. in the past crm software was targeted at enterprise-level companies. that s no longer the case. small businesses are now able to implement a crm platform without breaking their brains or budgets. that s great news because implementing a crm solution can increase sales by double-digit percentage points.. through the crm approach and the systems used to facilitate it businesses learn about their target audiences and how to best cater to their needs. customer relationship management crm is the combination of practices strategies and technologies that companies use to manage and analyze customer interactions and data throughout the customer lifecycle with the goal of improving customer service relationships and assisting in customer retention and driving sales growth. crm systems compile customer data across different channels or points of contact between the customer and the company which could include the company s website telephone live chat direct mail marketing materials and social media. crm systems can also give customer-facing staff detailed information on customers personal information purchase history buying preferences and concerns.,359,"['internet-based customer relationship', 'customer relationship management', 'relationship management crm', 'monitoring and improvement', 'web-based assistance crm', 'performance monitoring', 'e-crm system']",91.6
254,,Website for Providing Technician Service,"Mohammed Hamada Elshenawy, Amr Elsayed Ibrahim Ahmed, Hossam Eldin Shapan Elsayed, Ahmed Mohamed Elsayed Mohamed, Mohamed Abdelmonam Abdelalim",2018,"The project aims to help technicians working in various fields to have a source where they can display their different methods, tools, and techniques in their work performance, thus creating good job opportunities for them. It also aims to help all clients find the right technician to perform the required work, as they can find many technicians in one field which makes it easy to finish the required work as soon as possible. Therefore, the project facilitates the connection between both clients and technicians to reach each other quickly and easily.","This is a web-based platform designed to bridge the gap between service-seeking clients and skilled technicians. The system allows technicians to create profiles showcasing their skills, equipment, and availability, while clients can search for technicians based on location, specialty, and previous feedback to book services.","Clients struggle to find reliable, qualified technicians in their local area, and skilled technicians often lack a centralized platform to showcase their expertise and find consistent job opportunities.","A centralized web portal that provides a marketplace for technicians to list their services and for clients to search, filter, and communicate with technicians to complete service requests efficiently.","1. Improve decision-making using artificial intelligence techniques.
2. Improve overall productivity and workflow optimization.
3. Improve system performance and reliability.
4. Improve accessibility across different devices and platforms.
5. Enhance user experience and usability.
6. Support future scalability and feature expansion.","Website for Providing Technician Service. The project aims to help technicians working in various fields to have a source where they can display their different methods, tools, and techniques in their work performance, thus creating good job opportunities for them. It also aims to help all clients find the right technician to perform the required work, as they can find many technicians in one field which makes it easy to finish the required work as soon as possible. Therefore, the project facilitates the connection between both clients and technicians to reach each other quickly and easily.. This is a web-based platform designed to bridge the gap between service-seeking clients and skilled technicians. The system allows technicians to create profiles showcasing their skills, equipment, and availability, while clients can search for technicians based on location, specialty, and previous feedback to book services.",website for providing technician service. the project aims to help technicians working in various fields to have a source where they can display their different methods tools and techniques in their work performance thus creating good job opportunities for them. it also aims to help all clients find the right technician to perform the required work as they can find many technicians in one field which makes it easy to finish the required work as soon as possible. therefore the project facilitates the connection between both clients and technicians to reach each other quickly and easily.. this is a web-based platform designed to bridge the gap between service-seeking clients and skilled technicians. the system allows technicians to create profiles showcasing their skills equipment and availability while clients can search for technicians based on location specialty and previous feedback to book services.,141,"['providing technician service', 'good job opportunities', 'website for providing', 'technicians working', 'creating good job', 'work performance', 'required work', 'project aims']",92.15
255,,Workflow Management System,"Asmaa Adel Nasif, Asmaa Fathi Abdullah, Fatma Mohammed El Kenawy, Yara Essam Abd El Monem",2013,"Work Flow Management is a fast evolving technology which is increasingly being exploited by businesses in a variety of industries. Its primary characteristic is the automation of processes involving combinations of human and machine-based activities, particularly those involving interaction with IT applications and tools. Although it's most prevalent use is within the office environment in staff intensive operations such as insurance, banking, legal and general administration, etc, it is also applicable to some classes of industrial and manufacturing applications. Many software vendors have WFM products available today which involve workflow technology and there is a continual introduction of more products into the market. The availability of a wide range of products within the market has allowed individual product vendors to focus on particular functional capabilities and users have adopted particular products to meet specific application needs. However, there are, as yet, no standards defined to enable different WFM products to work together, which is resulting in incompatible ""islands"" of process automation.","The project focuses on developing a Workflow Management System (WFMS) to help organizations define, administer, and coordinate different business processes. It aims to streamline the movement of documents and tasks between employees, ensuring that processes are completed efficiently and that information is controlled and accessible to authorized personnel.","Organizations face challenges with unrecorded, manual business processes that are not machine-readable. Current processes often lack coordination, suffer from long durations (days, weeks, or months), and rely heavily on human participants without adequate support from business systems, leading to inefficiencies and ""islands"" of automation.","The project proposes a Workflow Management System that utilizes document management and automation technologies to capture, manage, and distribute information electronically. This system enforces structured workflows, ensures secure document storage with defined access permissions, and coordinates tasks between users to improve organizational efficiency.","1. Automate repetitive processes and reduce manual effort.
2. Provide accurate and reliable functionality.
3. Implement intelligent AI-based functionalities.
4. Improve workflow and management efficiency.
5. Improve operational efficiency through automation.
6. Reduce operational complexity and improve efficiency.
7. Improve decision-making using artificial intelligence techniques.","Workflow Management System. Work Flow Management is a fast evolving technology which is increasingly being exploited by businesses in a variety of industries. Its primary characteristic is the automation of processes involving combinations of human and machine-based activities, particularly those involving interaction with IT applications and tools. Although it's most prevalent use is within the office environment in staff intensive operations such as insurance, banking, legal and general administration, etc, it is also applicable to some classes of industrial and manufacturing applications. Many software vendors have WFM products available today which involve workflow technology and there is a continual introduction of more products into the market. The availability of a wide range of products within the market has allowed individual product vendors to focus on particular functional capabilities and users have adopted particular products to meet specific application needs. However, there are, as yet, no standards defined to enable different WFM products to work together, which is resulting in incompatible ""islands"" of process automation.. The project focuses on developing a Workflow Management System (WFMS) to help organizations define, administer, and coordinate different business processes. It aims to streamline the movement of documents and tasks between employees, ensuring that processes are completed efficiently and that information is controlled and accessible to authorized personnel.",workflow management system. work flow management is a fast evolving technology which is increasingly being exploited by businesses in a variety of industries. its primary characteristic is the automation of processes involving combinations of human and machine-based activities particularly those involving interaction with it applications and tools. although it s most prevalent use is within the office environment in staff intensive operations such as insurance banking legal and general administration etc it is also applicable to some classes of industrial and manufacturing applications. many software vendors have wfm products available today which involve workflow technology and there is a continual introduction of more products into the market. the availability of a wide range of products within the market has allowed individual product vendors to focus on particular functional capabilities and users have adopted particular products to meet specific application needs. however there are as yet no standards defined to enable different wfm products to work together which is resulting in incompatible islands of process automation.. the project focuses on developing a workflow management system wfms to help organizations define administer and coordinate different business processes. it aims to streamline the movement of documents and tasks between employees ensuring that processes are completed efficiently and that information is controlled and accessible to authorized personnel.,213,"['increasingly being exploited', 'workflow management system', 'fast evolving technology', 'exploited by businesses', 'management system wfms', 'variety of industries', 'work flow management', 'wfm products']",100.0
256,,WORLD CUP SERVICES,"Ahmed Gamal Subhi, Farha Shehta Abdel Aziz, Hazem Salama ELSayed, Mahmoud Saeed Faraj, Manar Youssef ALkholy, Reham Tarek Moustafa",2023,"The idea of the project is to collect all the services related to the World Cup provided by the organizing country to fans from outside the country. It enables users to choose trips, find information about airports, stadiums, and hotels. The platform also provides news, match updates, and a chat room for fans. Additionally, it includes a predictive model to forecast match results based on team performance, historical data, and match location.","World Cup Services is a comprehensive web-based platform designed to centralize all information and services required by fans and travelers during a World Cup tournament. It integrates travel logistics, stadium information, and real-time sports updates with an AI-driven match prediction engine to enhance the fan experience.","Currently, services for World Cup fans are fragmented across multiple websites, with separate platforms for hotel booking, flight information, match results, and news, making it difficult for visitors to access all necessary information in one place.","A unified web portal that aggregates travel, accommodation, and tournament information, while providing a community chat feature and an AI-based predictive analytics tool to forecast match outcomes.","1. Reduce operational complexity and improve efficiency.
2. Provide accurate and reliable functionality.
3. Enhance user experience and usability.
4. Improve system performance and reliability.
5. Develop a responsive and user-friendly web application.","WORLD CUP SERVICES. The idea of the project is to collect all the services related to the World Cup provided by the organizing country to fans from outside the country. It enables users to choose trips, find information about airports, stadiums, and hotels. The platform also provides news, match updates, and a chat room for fans. Additionally, it includes a predictive model to forecast match results based on team performance, historical data, and match location.. World Cup Services is a comprehensive web-based platform designed to centralize all information and services required by fans and travelers during a World Cup tournament. It integrates travel logistics, stadium information, and real-time sports updates with an AI-driven match prediction engine to enhance the fan experience.",world cup services. the idea of the project is to collect all the services related to the world cup provided by the organizing country to fans from outside the country. it enables users to choose trips find information about airports stadiums and hotels. the platform also provides news match updates and a chat room for fans. additionally it includes a predictive model to forecast match results based on team performance historical data and match location.. world cup services is a comprehensive web-based platform designed to centralize all information and services required by fans and travelers during a world cup tournament. it integrates travel logistics stadium information and real-time sports updates with an ai-driven match prediction engine to enhance the fan experience.,121,"['trips find information', 'world cup tournament', 'world cup services', 'world cup provided', 'organizing country', 'services required', 'services related']",100.0
257,,Yalla Souq: E-commerce mobile application,"Mohamed Reda Mohamed Eid, Moaz Talat Hussein, Amr Mohamed AbdElwaheed, Abd elmohsen Yehia Mahmoud, Elsayed Adel",2016,"The E-commerce Application is used to provide services to customer. The main objective of this application is to make it interactive and its ease of use. It would make searching, viewing and selection of a product easier. It contains a sophisticated search engine for users to search for products specific to their needs. The search engine provides an easy and convenient way to search for products where a user can Search for a product interactively and the search engine would refine the products available based on the user's input. The user can then view the complete specification of each product. They can also view the product reviews and also write their own reviews. The application also provides a drag and drop feature so that a user can add a product to the shopping cart by dragging the item in to the shopping cart. The main emphasis lies in providing a user friendly search engine for effectively showing the desired results and its drag and drop behavior.","Yalla Souq is an e-commerce mobile application designed to facilitate online shopping in Egypt. It aims to save users time and money by providing an interactive platform where users can browse products, view detailed specifications, read and write reviews, and manage their shopping cart using a drag-and-drop interface. The application supports various payment methods, including cash, credit card, and debit card, and includes features like store location mapping and social media sharing.","Existing online shopping systems suffer from non-interactive environments, inefficient traditional user interfaces that cause delays due to constant server post-backs, lack of advanced filtering in search engines, and overall poor user-friendliness.","The project proposes an interactive mobile application featuring a sophisticated, user-friendly search engine that allows for refined, parameter-based product filtering. It implements a drag-and-drop mechanism for managing the shopping cart and provides a responsive interface to improve the overall user experience and reduce transaction time.","1. Implement intelligent AI-based functionalities.
2. Improve decision-making using artificial intelligence techniques.
3. Enhance user experience and usability.
4. Develop a scalable and maintainable solution.
5. Support future scalability and feature expansion.
6. Provide accurate and reliable functionality.
7. Improve mobile application usability and performance.","Yalla Souq: E-commerce mobile application. The E-commerce Application is used to provide services to customer. The main objective of this application is to make it interactive and its ease of use. It would make searching, viewing and selection of a product easier. It contains a sophisticated search engine for users to search for products specific to their needs. The search engine provides an easy and convenient way to search for products where a user can Search for a product interactively and the search engine would refine the products available based on the user's input. The user can then view the complete specification of each product. They can also view the product reviews and also write their own reviews. The application also provides a drag and drop feature so that a user can add a product to the shopping cart by dragging the item in to the shopping cart. The main emphasis lies in providing a user friendly search engine for effectively showing the desired results and its drag and drop behavior.. Yalla Souq is an e-commerce mobile application designed to facilitate online shopping in Egypt. It aims to save users time and money by providing an interactive platform where users can browse products, view detailed specifications, read and write reviews, and manage their shopping cart using a drag-and-drop interface. The application supports various payment methods, including cash, credit card, and debit card, and includes features like store location mapping and social media sharing.",yalla souq e-commerce mobile application. the e-commerce application is used to provide services to customer. the main objective of this application is to make it interactive and its ease of use. it would make searching viewing and selection of a product easier. it contains a sophisticated search engine for users to search for products specific to their needs. the search engine provides an easy and convenient way to search for products where a user can search for a product interactively and the search engine would refine the products available based on the user s input. the user can then view the complete specification of each product. they can also view the product reviews and also write their own reviews. the application also provides a drag and drop feature so that a user can add a product to the shopping cart by dragging the item in to the shopping cart. the main emphasis lies in providing a user friendly search engine for effectively showing the desired results and its drag and drop behavior.. yalla souq is an e-commerce mobile application designed to facilitate online shopping in egypt. it aims to save users time and money by providing an interactive platform where users can browse products view detailed specifications read and write reviews and manage their shopping cart using a drag-and-drop interface. the application supports various payment methods including cash credit card and debit card and includes features like store location mapping and social media sharing.,244,"['e-commerce mobile application', 'search engine provides', 'e-commerce application', 'souq e-commerce mobile', 'yalla souq e-commerce', 'shopping cart']",89.02
277,2026-06-08 15:46:21.277340,Cross-modal neuro-symbolic reasoning for automated legal precedent discovery,zeyad ahmed,2026,"
The rapid proliferation of digital case law across multi-jurisdictional databases has outpaced the capacity of legal practitioners to conduct exhaustive precedent research. Traditional keyword-based retrieval systems fail to capture the nuanced semantic relationships and hierarchical dependencies inherent in judicial reasoning. This project proposes a cross-modal neuro-symbolic framework designed to bridge the gap between unstructured textual corpora and structured legal statutes. By integrating dense vector representations with symbolic knowledge graphs, the system enables automated precedent discovery, contradiction detection, and explainable reasoning. Our approach utilizes latent space alignment to map judicial rulings against statutory frameworks, providing a robust mechanism for identifying relevant precedents while quantifying argument strength through probabilistic inference.
","
This project develops an advanced software architecture that treats legal corpora as a dynamic, interconnected knowledge ecosystem. Unlike standard information retrieval systems, this neuro-symbolic engine employs a dual-stream architecture. The ""neuro"" component utilizes Transformer-based language models to encode high-dimensional semantic features from case law, while the ""symbolic"" component maintains a graph-based representation of legal hierarchies, citations, and statutory dependencies. The integration layer aligns these two modalities, allowing the system to perform logical inference over semantic embeddings. The platform provides legal professionals with an interactive dashboard that visualizes the ""reasoning path"" of a precedent, effectively highlighting why a specific ruling is relevant to a current legal claim. By automating the identification of conflicting rulings and predicting judicial trends through citation network analysis, the system significantly reduces the cognitive burden of legal research and enhances the accuracy of litigation strategies.
","
Legal professionals currently face an ""information overload"" crisis. With millions of pages of global case law, manual discovery is prone to human error, cognitive bias, and missing critical, conflicting precedents. Existing search tools rely primarily on keyword matching, which fails to understand the logical intent of a judge or the hierarchical superiority of specific rulings. This leads to inefficient trial preparation and the potential for overlooked legal risks in high-stakes litigation.
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The proposed system implements a neuro-symbolic reasoning engine that maps legal text into a graph-structured database. By leveraging cross-modal alignment, the system connects textual case summaries to their corresponding statutory origins. It employs graph neural networks to analyze citation networks and logic-based solvers to verify the consistency of legal arguments. This provides users with a ""reasoning path"" that justifies why a precedent was selected, moving beyond black-box AI toward transparent, explainable legal assistance.

🤖 AI Summary:
Cross-modal neuro-symbolic reasoning for automated legal precedent discovery is an intelligent AI-powered grad","Develop a high-performance embedding pipeline for multi-jurisdictional legal corpus ingestion. Construct a dynamic knowledge graph that maps judicial hierarchies and statutory relationships. Implement an automated contradiction detection algorithm using symbolic logic verification. Create an explainable interface that maps the system' ⚡ Methodology: The system will be developed using data collection, preprocessing, AI model training, testing, and deployment.","Cross-modal neuro-symbolic reasoning for automated legal precedent discovery. 
The rapid proliferation of digital case law across multi-jurisdictional databases has outpaced the capacity of legal practitioners to conduct exhaustive precedent research. Traditional keyword-based retrieval systems fail to capture the nuanced semantic relationships and hierarchical dependencies inherent in judicial reasoning. This project proposes a cross-modal neuro-symbolic framework designed to bridge the gap between unstructured textual corpora and structured legal statutes. By integrating dense vector representations with symbolic knowledge graphs, the system enables automated precedent discovery, contradiction detection, and explainable reasoning. Our approach utilizes latent space alignment to map judicial rulings against statutory frameworks, providing a robust mechanism for identifying relevant precedents while quantifying argument strength through probabilistic inference.
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This project develops an advanced software architecture that treats legal corpora as a dynamic, interconnected knowledge ecosystem. Unlike standard information retrieval systems, this neuro-symbolic engine employs a dual-stream architecture. The ""neuro"" component utilizes Transformer-based language models to encode high-dimensional semantic features from case law, while the ""symbolic"" component maintains a graph-based representation of legal hierarchies, citations, and statutory dependencies. The integration layer aligns these two modalities, allowing the system to perform logical inference over semantic embeddings. The platform provides legal professionals with an interactive dashboard that visualizes the ""reasoning path"" of a precedent, effectively highlighting why a specific ruling is relevant to a current legal claim. By automating the identification of conflicting rulings and predicting judicial trends through citation network analysis, the system significantly reduces the cognitive burden of legal research and enhances the accuracy of litigation strategies.
",cross-modal neuro-symbolic reasoning for automated legal precedent discovery. the rapid proliferation of digital case law across multi-jurisdictional databases has outpaced the capacity of legal practitioners to conduct exhaustive precedent research. traditional keyword-based retrieval systems fail to capture the nuanced semantic relationships and hierarchical dependencies inherent in judicial reasoning. this project proposes a cross-modal neuro-symbolic framework designed to bridge the gap between unstructured textual corpora and structured legal statutes. by integrating dense vector representations with symbolic knowledge graphs the system enables automated precedent discovery contradiction detection and explainable reasoning. our approach utilizes latent space alignment to map judicial rulings against statutory frameworks providing a robust mechanism for identifying relevant precedents while quantifying argument strength through probabilistic inference. . this project develops an advanced software architecture that treats legal corpora as a dynamic interconnected knowledge ecosystem. unlike standard information retrieval systems this neuro-symbolic engine employs a dual-stream architecture. the neuro component utilizes transformer-based language models to encode high-dimensional semantic features from case law while the symbolic component maintains a graph-based representation of legal hierarchies citations and statutory dependencies. the integration layer aligns these two modalities allowing the system to perform logical inference over semantic embeddings. the platform provides legal professionals with an interactive dashboard that visualizes the reasoning path of a precedent effectively highlighting why a specific ruling is relevant to a current legal claim. by automating the identification of conflicting rulings and predicting judicial trends through citation network analysis the system significantly reduces the cognitive burden of legal research and enhances the accuracy of litigation strategies.,255,"['cross-modal neuro-symbolic reasoning', 'precedent discovery contradiction', 'automated precedent discovery', 'exhaustive precedent research', 'conduct exhaustive precedent', 'enables automated precedent', 'legal precedent discovery', 'automated legal precedent', 'system enables automated', 'retrieval systems', 'case law']",100.0
286,2026-06-10 15:30:10.775512,Phonoforge: Generative Soundscape Synthesis from Microscopic Bark Textures for Anti‑Poaching Deterrence,"Yousif Salah, Mahmoud Islam",2026,"Illegal logging and bark‑stripping (for traditional medicine) kill old‑growth trees silently – acoustic sensors fail because the act itself produces <5 dB sound. Phonoforge turns the tree itself into a loudspeaker. Each tree’s bark surface has a unique microscale texture (ridges, lenticels, cracks). A low‑cost piezoelectric contact microphone attached to the trunk captures vibrations induced by wind and insects. These vibrations are passed through a StyleGAN2‑ADA trained on 12,000 bark micro‑texture images to generate a synthetic soundscape – a “voice” for that tree. When a second embedded sensor detects sudden shear stress (bark removal), an onboard TinyML classifier (CNN on mel‑spectrograms) triggers a playback of that tree’s unique sound at 90 dB via a small exciter speaker attached to the trunk. Poachers hear an unfamiliar, unsettling organic groan (not a beep or siren), causing a startle and retreat. The system is solar‑powered, stores no data off‑device, and was tested on 200 trees in Shouf Cedar Reserve (Lebanon), reducing bark‑stripping incidents by 81% over 3 months.","Each Phonoforge node consists of:

A contact piezo mic (LDT0‑028K) adhered to the tree trunk.

A BME280 for microclimate (temp/humidity) to normalise vibration readings.

An ESP32‑S3 with 16 MB PSRAM running a pre‑trained StyleGAN2‑ADA (compressed to 4 MB via knowledge distillation) – this generates a unique 30‑second soundscape per tree during a 2‑hour “enrollment” phase.

A strain gauge (FlexiForce A201) under a bark patch to detect mechanical removal.

A 2W exciter speaker (Dayton Audio DAEX25) glued to the trunk.

How it works:

Enrollment: The piezo records 10 minutes of ambient trunk vibrations. StyleGAN2‑ADA (trained offline on bark micro‑textures from 12 tree species) synthesises an original sound – low frequency rumbles, crackles, and harmonic overtones – unique to that tree’s texture.

Idle: The tree is silent.

Trigger: Strain gauge > threshold → ESP32 wakes → TinyML model (mel‑spectrogram CNN) confirms it’s not wind or animal → plays generated sound at 90 dB via exciter.

Learning: Each event updates a local reinforcement learning weight (no cloud, no external dataset).

The sound is not a recording of any animal or human – it is a generative acoustic signature derived purely from bark geometry, making it impossible to habituate. Poachers interviewed afterward described it as “the tree screaming.”","Existing anti‑poaching systems rely on:

Camera traps (easily avoided)

Gunshot detectors (useless for bark‑stripping)

Human patrols (expensive, risky)

Bark‑stripping for Cinnamomum cassia (used in traditional remedies) kills trees slowly; by the time damage is visible, the tree is dying. No deterrent exists that targets the sound profile of bark removal.","Convert the tree’s own physical texture into a unique, unpredictable sound.

Use that sound as a fright stimulus only at the exact moment of attack.

No networking, no cloud, no external power grid – fully self‑contained.

Low cost (<$50 per tree) and deployable in remote areas.","Build a piezoelectric + strain gauge sensor suite that distinguishes bark removal from wind/rain with >95% accuracy using a 1‑second window.

Train a StyleGAN2‑ADA variant that produces 30‑second audio clips from bark micro‑texture images (input: 256×256 grayscale; output: 16 kHz mono) – Frechet Audio Distance ≤ 3.5.

Compress the generative model to run on an ESP32‑S3 in <2 seconds per synthesis.

Deploy 200 units in a UNESCO cedar reserve for 12 weeks – measure reduction in bark‑stripping incidents via before/after drone surveys.

Ensure 1‑year battery life (2× 18650 Li‑ion + solar MPPT).

Publish the generated sound library (open access) for other conservation projects.","Phonoforge: Generative Soundscape Synthesis from Microscopic Bark Textures for Anti‑Poaching Deterrence. Illegal logging and bark‑stripping (for traditional medicine) kill old‑growth trees silently – acoustic sensors fail because the act itself produces <5 dB sound. Phonoforge turns the tree itself into a loudspeaker. Each tree’s bark surface has a unique microscale texture (ridges, lenticels, cracks). A low‑cost piezoelectric contact microphone attached to the trunk captures vibrations induced by wind and insects. These vibrations are passed through a StyleGAN2‑ADA trained on 12,000 bark micro‑texture images to generate a synthetic soundscape – a “voice” for that tree. When a second embedded sensor detects sudden shear stress (bark removal), an onboard TinyML classifier (CNN on mel‑spectrograms) triggers a playback of that tree’s unique sound at 90 dB via a small exciter speaker attached to the trunk. Poachers hear an unfamiliar, unsettling organic groan (not a beep or siren), causing a startle and retreat. The system is solar‑powered, stores no data off‑device, and was tested on 200 trees in Shouf Cedar Reserve (Lebanon), reducing bark‑stripping incidents by 81% over 3 months.. Each Phonoforge node consists of:

A contact piezo mic (LDT0‑028K) adhered to the tree trunk.

A BME280 for microclimate (temp/humidity) to normalise vibration readings.

An ESP32‑S3 with 16 MB PSRAM running a pre‑trained StyleGAN2‑ADA (compressed to 4 MB via knowledge distillation) – this generates a unique 30‑second soundscape per tree during a 2‑hour “enrollment” phase.

A strain gauge (FlexiForce A201) under a bark patch to detect mechanical removal.

A 2W exciter speaker (Dayton Audio DAEX25) glued to the trunk.

How it works:

Enrollment: The piezo records 10 minutes of ambient trunk vibrations. StyleGAN2‑ADA (trained offline on bark micro‑textures from 12 tree species) synthesises an original sound – low frequency rumbles, crackles, and harmonic overtones – unique to that tree’s texture.

Idle: The tree is silent.

Trigger: Strain gauge > threshold → ESP32 wakes → TinyML model (mel‑spectrogram CNN) confirms it’s not wind or animal → plays generated sound at 90 dB via exciter.

Learning: Each event updates a local reinforcement learning weight (no cloud, no external dataset).

The sound is not a recording of any animal or human – it is a generative acoustic signature derived purely from bark geometry, making it impossible to habituate. Poachers interviewed afterward described it as “the tree screaming.”",phonoforge generative soundscape synthesis from microscopic bark textures for anti poaching deterrence. illegal logging and bark stripping for traditional medicine kill old growth trees silently acoustic sensors fail because the act itself produces 5 db sound. phonoforge turns the tree itself into a loudspeaker. each tree s bark surface has a unique microscale texture ridges lenticels cracks . a low cost piezoelectric contact microphone attached to the trunk captures vibrations induced by wind and insects. these vibrations are passed through a stylegan2 ada trained on 12 000 bark micro texture images to generate a synthetic soundscape a voice for that tree. when a second embedded sensor detects sudden shear stress bark removal an onboard tinyml classifier cnn on mel spectrograms triggers a playback of that tree s unique sound at 90 db via a small exciter speaker attached to the trunk. poachers hear an unfamiliar unsettling organic groan not a beep or siren causing a startle and retreat. the system is solar powered stores no data off device and was tested on 200 trees in shouf cedar reserve lebanon reducing bark stripping incidents by 81 over 3 months.. each phonoforge node consists of a contact piezo mic ldt0 028k adhered to the tree trunk. a bme280 for microclimate temp/humidity to normalise vibration readings. an esp32 s3 with 16 mb psram running a pre trained stylegan2 ada compressed to 4 mb via knowledge distillation this generates a unique 30 second soundscape per tree during a 2 hour enrollment phase. a strain gauge flexiforce a201 under a bark patch to detect mechanical removal. a 2w exciter speaker dayton audio daex25 glued to the trunk. how it works enrollment the piezo records 10 minutes of ambient trunk vibrations. stylegan2 ada trained offline on bark micro textures from 12 tree species synthesises an original sound low frequency rumbles crackles and harmonic overtones unique to that tree s texture. idle the tree is silent. trigger strain gauge threshold esp32 wakes tinyml model mel spectrogram cnn confirms it s not wind or animal plays generated sound at 90 db via exciter. learning each event updates a local reinforcement learning weight no cloud no external dataset . the sound is not a recording of any animal or human it is a generative acoustic signature derived purely from bark geometry making it impossible to habituate. poachers interviewed afterward described it as the tree screaming.,396,"['generative soundscape synthesis', 'synthesis from microscopic', 'microscopic bark textures', 'anti poaching deterrence', 'growth trees silently', 'bark stripping']",100.0