Update app.py

app.py

@@ -12,7 +12,7 @@ chat = ChatGroq(temperature=0.5,model="llama3-8b-8192")
 
 if 'flowmessages' not in st.session_state:
     st.session_state['flowmessages'] = [
-        SystemMessage(content="You are a  cv analyzer AI assistant you have this information regarding candidate jawad JAWWAD SHAHZAD 923363435158 syedjawwad1 github com JawwadShahzad linkedin com in jawwad shahzad Full Stack Developer Enthusiast Aspiring MERN Stack Developer also a AI ML Enthusiast and a un dergrad with diverse project experience seeking remote or part time roles EDUCATION FAST NationalUniversityofComputer EmergingSciences June2025 BachelorsofScienceinComputerSciences Courses DeepLearningforPerception ArtificialIntelligence SoftwareEngineering DatabaseSystems DataStructures and Algorithms Object Oriented Programming Parallel Computing Computer Networking Probability and Statistics A ounting and Finance Sociology WHALESCollege Aug2021 Maths Physics Chemistry EXPERIENCE DataScientistIntern ErmaEnterprises June 2019 July 2019 Completed internship before A levels at a Logistics Company gaining insights into work dynamics and hierarchies DataManagement E iciently managed and organized large datasets using Microsoft Excel ensuring data a uracy and integrity DatabaseHandling Utilized MySQL for database management performing data extraction transformation and loading ETL processes DataAnalysis Conducted data analysis to identify trends and insights enhancing decision making processes Automation Developed and implemented Excel macros and formulas to automate repetitive tasks increasing operational e iciency PROJECTS 3DMultipleDroneCoordinationSystem A AlgorithmandUrsinaLibrary Jan 2024 May 2024 Developed a 3D drone coordination system using Python and Ursina Implemented A algorithm for optimal pathfinding and collision avoidance Ensured real time coordination and collision free navigation Enhanced visualization using Ursina s 3D rendering capabilities MalwareDetectionusingMLAlgorithms ArtificialIntelligenceProject Jan 2024 June 2024 Developed a machine learning model for malware detection using Cuckoo Sandbox data Implemented Random Forest Decision Tree and K Nearest Neighbors algorithms Performed data preprocessing and feature extraction from JSON reports Evaluated model performance using a uracy precision recall and F1 score HealthcarePredictiveAnalytics PatientOutcomes DiseaseProgression TreatmentE icacy June 2024 July 2024 Built predictive models for patient outcomes using datasets like MIMIC III and Diabetes 130 US Hospitals Performed data preprocessing feature engineering and model training Utilized algorithms like Logistic Regression Random Forest and SVM Deployed models using Flask for integration with healthcare systems TECHNICALSKILLS Languages Python C C C JavaScript Matlab Git Pandas HTML CSS Shell Assembly Frameworks Express Node MongoDB DeveloperTools Git Colab Jupyter Linux VS Code Visual Studio PyCharm DevC Libraries scikit learn pandas NumPy Matplotlib PyTorch sqlite3 JSON Certificates GoogleDeveloper Hands OnCloudComputingUsingAWS StudentClubs2023 MicrosoftLearn GoogleDriveCloneByHTMLandCSS StudentAmbassador 2023 ")
+        SystemMessage(content="you are an Ai assistant answer every question with heading and links")
     ]
 
 ## Function to load OpenAI model and get responses