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10,267
https://devpost.com/software/helmprotech
In the making of our machine learning model, this is us testing the helmet/motorcycle detection. The beginning of our responsive web application. This is the home page with a brief introduction to the software and mission. More reasoning on our home page as to why you should use our service :) This is where we're going to have users upload images to be detected, later to be a real time video camera system. This is a section of the results page where users get to see scanned license plates, helmets, motorcycles, and statistics. Inspiration A big problem in countries such as India is the danger on the road due to people not wearing helmets and not wearing the appropriate safety gear. With over 37 million motorized two wheelers representing 75% of the operational vehicles in India, as well as roughly 34 million motorized two wheelers in China, the number of people not wearing helmets and not taking the proper safety precautions has been higher than ever. According to reports from the Indian government, at least 98 two-wheeler riders without helmets have died on a daily occurrence in 2017. That's over 35,000 lives in a full year that could have been saved through just the use of a helmet. Furthermore, according to China's ministry of public safety, from 80% of fatal traffic accidents involving motorized two wheelers, brain injury was the leading cause of death, and wearing helmets can reduce the risk of this fatality by about 60 to 70 percent. What it does Our Flask application take an input of images of motorcycle riders on the street. With these images, we use YOLO to find the number of motorcycles and the number of helmets in the picture and subtract that amount. If we find that there are more motorcycles than helmets (signifying that there are some riders not wearing the proper gear), we scan the license plates and map the plates to the motorcyclist that wasn't wearing a helmet, then use OCR to find and save the license plate which violated the rules. How I built it To analyse the images, we used: YOLO, for finding the objects in the picture. OpenCV, for reading and parsing the images. OCR in UiPath Studios, for reading the license plates. In addition, we created an accompanying web application using: Flask HTML, CSS, and JS TensorFlow, Keras, Scikit Learn Pandas, Numpy, Matplotlib Google Cloud Platform, App Engine Challenges I ran into We were working through different time zones, which made it difficult to coordinate, especially when combining our code at the end. In addition, it was difficult to find working models of license plate identification, especially since the motorcycle license plates were incredibly small. Also, we went through several libraries and models before we settled on reading the license plates using OCR. We also spent a decent amount of time perfecting our data set of detecting motorcyclists without helmets due to a lack of resources and images online. Another big challenge towards the end was figuring out how to deploy our web application. Since our machine learning model files were so heavy, we knew we had to use some heavy web service to deploy our app. This is when we started learning and following documentation on Google Cloud Platforms App Engine, there wasn't the clearest docs on this so it took a lot of trial and error to perfect our config files to support our specific app with the heavy machine learning files on top of it. Accomplishments that I'm proud of We're proud that we were able to create an application which was able to use computer vision to identify motorcycles, helmets, and read license plates. We're also proud to have put our app together within the time frame and create an impactful product for our communities. Another big accomplishment would be our live deployment as we were able to figure out how to utilize Google cloud platform and use it to host our web app. What I learned All of our team members had limited knowledge of OpenCV and YOLO before the hackathon; we used this to expand on our computer vision skills. In addition, three of our teammates learned about how to collaborate on GitHub using version control software Git as well as learning techniques on how to avoid merge conflicts when collaborating on a coding project. Another service we learned was following Google Cloud Platforms docs more efficiently and getting the right information in a shorter period of time. What's next for HelmProtech Our current end product is a proof of concept which is functional, however doesn't have connections to outside security cameras. Our next steps are to make the software work with real-time video cameras and video footage to help law enforcement keep track of riders without proper safety gear. Built With css3 favicon flask google-app-engine google-cloud html5 javascript keras matplotlib numpy opencv pandas python scikit-learn scss tensorflow
HelmProtech
A health web application that detects if users are wearing helmets and captures an image of their license plates for law enforcement in an effort to promote safe transportation.
['Veer Gadodia', 'Agnes Sharan', 'Shreya C', 'Nand Vinchhi']
['Track: Best Advanced Hack - Second Place']
['css3', 'favicon', 'flask', 'google-app-engine', 'google-cloud', 'html5', 'javascript', 'keras', 'matplotlib', 'numpy', 'opencv', 'pandas', 'python', 'scikit-learn', 'scss', 'tensorflow']
9
10,267
https://devpost.com/software/hackathon-submission-nr70dc
TrackMark Logo Inspiration We felt that our runs were starting to become repetitive and boring, so we wanted to develop an app to make runs and walks more fun and interesting What it does TrackMark lets you create checkpoints to reach that motivate you to run or walk How we built it We used Swift UI and X-code to Build TrackMark Challenges we ran into Every new feature we implemented created many bugs and errors and we constantly had to fix them Accessing the users location and sending notifications were challenges Accomplishments that we're proud of We are proud that we finished this app in time with all the features that we wanted. We are also proud that we were able to make the checkpoints disappear when the user is within a certain radius of the checkpoint. What we learned We learned measure the distance between coordinates and other features of locations Built With swift swiftui xcode Try it out github.com
TrackMark
TrackMark, an app that gives your walks purpose by letting you set points to visit
['Yuval Ailon', 'Alyssa Feinberg']
['Track: Best Advanced Hack - Third Place']
['swift', 'swiftui', 'xcode']
10
10,267
https://devpost.com/software/pandemic-pandemonium
Inspiration We were inspired by the Covid-19 Pandemic to create an application that allowed users to more fully understand how a pandemic spreads and how to keep yourself safe. We wanted to use Augmented Reality to create a platform that allowed users to interactively learn about the spread of pandemics and have an activity to do while stuck in quarantine! What it does The application allows you to enter an Augmented Reality Game to simulate the spread of a pandemic. Our goal was to create an application that had multiple levels and different power-ups, such as a face mask or hand sanitizer that helped combat the virus. The object of the game is to avoid the Corona Virus strains and stay safe through the pandemic. With each level, the player would gain a power-up that would help them stay safe. However, each level would become more difficult with a new scenario that helped the spread of the virus. If you got hit with the virus, the game would end and link you to a page displaying local areas to get tested. How I built it We built the game in Unity using echoAR to create game sprites through a cloud-based platform. We used the Android Build Environment in Unity to be able to run the application on our phones. Challenges I ran into Unfortunately for all of us, this was our first time using Unity at all! We first struggled with getting all of the downloads and getting Unity up and running. After that, we struggled with getting the AR objects to move. We struggled with using the echoAR documentation for coding in Unity. However, the sponsors at echoAR helped us debug through our issued and try to get the game up and running! Accomplishments that I'm proud of We are proud of getting the AR objects to be able to move around through the environment. This was really difficult to do but we learned how to create new scripts to move the AR objects and get them to behave a different way. What I learned We learned so much more about Game Development and AR technology. None of us had worked with these technologies in the past! We definitely have a much greater respect for those able to program games using AR technology. Check out our Slides Presentation here: https://docs.google.com/presentation/d/1JqRQQR0K86uMEH6fsoMl3gNxbdvocyf04X5wCOUy_ns/edit?usp=sharing What's next for Pandemic Pandemonium Next, we want to be able to implement more of the gameplay. We did not get to accomplish all the different aspects we wanted to cover. We will try to implement different levels and a certain ability to interact with the environment more. While we have a lot more to do, we accomplished a whole lot in 24 hours! Built With android c# echoar unity Try it out github.com
Pandemic Pandemonium
Learn about the spread of a pandemic using AR technology!
['Mira Jambusaria', 'sunnybunz1', 'Ahmed Abdalla']
['Best use of EchoAR']
['android', 'c#', 'echoar', 'unity']
11
10,267
https://devpost.com/software/techsupport
Inspiration Since the tech industry is predominantly male, I thought about the little microaggressions and impostor syndrome that is prevalent in the workplace. By providing people with a space to report disruptions in the work environment, it can help CEOs improve relations and make the female workers more comfortable in the workspace. What it does Employees can write down any general complaints about the social environment and it will be stored in a database that only the boss can access How I built it I used mainly firebase to store all of the information and the user inputs the information anonymously. Challenges I ran into Storing the data in the realtime database, also had to create the project last minute. My original idea was a 2d platformer where characters had to overcome "doubt" to achieve their goals (medals), and if they reached the end they would become a "true" programmer. Accomplishments that I'm proud of Creating a project last minute despite not having the first idea work out. Making the database functional and learning how to utilize firebase. What I learned I learned how to use firebase and implement it into web apps. I also learned a little bit about unity despite not completing a full platformer game. What's next for TechSupport Working on storing the data locally and fixing the sign in feature. Including motivational messages to empower those who may be discouraged and unconfident. Built With css3 firebase html javascript Try it out supportgirlsin.tech flin1.github.io github.com
TechSupport
An site that seeks to end workplace harassment and microaggressions by allowing users to anonymously report problems in an effort to improve the workplace environment
['Fay Lin']
['MLH: Best Domain Registered with Domain.com']
['css3', 'firebase', 'html', 'javascript']
12
10,267
https://devpost.com/software/ersatzspaghetti
A sample copypasta generated by our model A sample copypasta generated by our model A sample copypasta generated by our model A sample copypasta generated by our model WE'RE LIVE! ersatzspaghetti.space , this is also our domain.com entry! Inspiration According to Urban Dictionary, a copypasta can be defined as "A block of lengthy text repeatedly copy-pasted in an online forum or chat room" or when used on popular streaming site twitch.tv, "Lengthy text that is mindlessly copy-pasted repeatedly in Twitch Chat, often to make fun of something through satire and repetition". As ardent copypasta connoisseurs, we have concluded that it is our moral duty to share our love for terrible textposts with the masses. However, we have only so much time in a weekend, so why not get our computers to do the hard work for us? That's why we've created ersatzspaghetti (ersatz meaning fake or not genuine and spaghetti being the Italian word for spaghetti) to take as many copypasta as we could find and use _ DEEP LEARNING _ to create more for the world to enjoy at their leisure, instead of having to venture into fast-moving and frequently toxic chat rooms on popular twitch.tv steams. These copypasta can than be saved, and we've even added on built in text to speech so you can hear and save amusing accompaniments to our wonderful words. What it does ersatzspaghetti is an app that allows you to generate brand new copypasta on demand using textgenrnn for python3 with the help of a copypasta scraper to make data collection easier. Our specially trained model spits out custom copypasta faster than you can say 'omegalul', and only requires one click to do it! Once the copypasta is loaded, we also used Google Cloud's Text to Speech API to generate an audio clip of your precious pasta being read aloud, which usually is quite amusing. How we built it ersatzspaghetti runs on a python3 Flask server we've deployed to Heroku and hooked up our domain.com domain (ersatzspaghetti.space) to. The Flask server uses our textgenrnn model to generate copypastas when the button on the main page is clicked. Then the generated text is sent to Google Cloud's Text to Speech API which saves a recording of the text being said and is given to the user in the form of an audio player embedded in the webpage. On the back end, our UiPath implementation monitors server activity and checks if the app ever crashes, and when it does it emails us with an image of the error, since the robot we created will be monitoring and refreshing the page to check for crashes or errors. Challenges we ran into -Adding GCP json credentials to Heroku as an environment variable was WAY harder than it needed to be (can't push credentials publicly since they'll get scraped and used for bitcoin mining and then GCP suspends the credentials) - it certainly didn't help that I couldn't get the Heroku CLI working on my WSL Ubuntu shell and gunicorn (which Heroku uses to run the app) only works in Unix-like systems (so not PowerShell). -We had to switch models on Day 2 after our best efforts after using the first one were garbled nonsense (like "minal this mofter seep has own you say it that mouso show pompelt a elgating looked the wadian has to the fevimup that a subhing apponerifade ary mech arate at ofter to this anial hand much the marse subscrobm spams" for example) -HTML was as fiddly and annoying to use as it usually is :) Accomplishments that we're proud of -Getting Heroku to accept the gosh darn GCP json credentials -Being comfortable enough with tensorflow/keras to set up the model without too much trouble What we learned -Avoid json credentials AT ALL COSTS -Text takes longer to generate with machine learning than images (at least in the cases we've used them) which is a bit odd seeming to us What's next for ersatzspaghetti -Improve quality of emotes, and generate more kinds of internet fun things -Make UiPath generate quotes and add it to our file -Make better quotes by experimenting more with machine learning -Make front end mobile friendly Built With css3 domain.com flask gcp google-cloud html5 keras machine-learning python tensorflow text-to-speech uipath Try it out ersatzspaghetti.space github.com
ersatzspaghetti
copypastas on demand thanks to machine learning!
['Drew Ehrlich', 'Farhan Saeed']
['MLH: Best UiPath Automation Hack']
['css3', 'domain.com', 'flask', 'gcp', 'google-cloud', 'html5', 'keras', 'machine-learning', 'python', 'tensorflow', 'text-to-speech', 'uipath']
13
10,267
https://devpost.com/software/meat-your-eat
Inspiration It's always hard to find a restaurant that perfectly suits you, and browsing Yelp right before mealtime can be such a chore. By taking a page out of the e-dating's handbook, we've created Meet Your Eat -- a fun, engaging experience to find a tasty dining establishment nearby that perfectly matches your tastes! Try it out here: meetyoureat.online What it does The app gives you a personalized selection of restaurants, which you can further refine through the tried-and-true e-dating experience. tl;dr Tinder for restaurants How we built it The technology stack was React for the front end and Flask for the back end. Infrastructure ❤ GCP For the persistent datastore, we used Firebase Cloud Storage. For web-hosting, we used Google Cloud Deploy. For a recommendation prototype, we used a Cloud Function. For restaurant information, we used the Google Maps Places API. Challenges we ran into We had different ideas about how we should deploy the different parts of the app. Luckily, our design was modular enough that we could adapt both deployments to fit together cohesively. There was an attempt to make a recommendation system. However, the performance and implementation of the system weren't quite there, so currently nothing in the frontend or backend calls this system. Luckily for us, because we don't call the Cloud Function, it incurs no cost! Accomplishments that we're proud of We're proud that we were able to make a fun, interactive experience in such a short amount of time. What we learned How to deploy an app server and a backend server via Google Cloud How to use React Springs and Gestures for good looking animations on the frontend What's next for Meet Your Eat Implementing a real machine learning framework to learn the types of restaurants the user likes/dislikes. Collect temporal locality (like whether it's nearing a holiday, or nearing supper time) and add that to the recommendation system. Built With api css firebase flask github google-cloud google-maps google-places javascript python react rest Try it out meetyoureat.online github.com
Meet Your Eat
Match up with the perfect restaurant!
['Eric Ye', 'j j', 'Ethan Waite', 'Darryl Yeo']
['MLH: Best use of Google Cloud']
['api', 'css', 'firebase', 'flask', 'github', 'google-cloud', 'google-maps', 'google-places', 'javascript', 'python', 'react', 'rest']
14
10,267
https://devpost.com/software/defhacks-2020-ugpavi
Saucer Dashboard Landing Page Recipe Page Saucer Tanay Biradar, Riley Kong, Ritvik Pandey, Siddharth Nath Def Hacks 2020 Live Demo Click here to preview the app, or visit saucer.tech . Description Every year, "roughly 1.3 billion tons of food, worth nearly $1 trillion, spoils or is thrown away" (Wernick, PRI) . At the same time, "11.1 percent (14.3 million) households experience food shortages at some time during a year" (USDA) . By eliminating food waste, we can provide food to people who need it the most and simultaneously help the environment in the process by conserving natural resources. Saucer is a solution to food waste by recommending users suitable recipes based on the items they already have. To start, input ingredients you have in the kitchen and their expiry dates. With this information, Saucer intelligently recommends recipes that use those ingredients. You can also use the voice recognition feature to conveniently add an ingredient. All of this is wrapped up in a user-friendly website which incorporates Material design and is streamlined to bring a clear recipe. Development $ yarn install # installs dependencies $ yarn serve # compiles/hot-reloads for development $ yarn build # compiles/minifies for production $ yarn lint # lints/fixes files Credentials You must add 2 credentials (for Firebase and Spoonacular respectively) in src/creds . Firebase Add the following code to src/creds/firebase.js : export default { firebaseConfig: { apiKey: "API_KEY", authDomain: "AUTH_DOMAIN", ... } } including your API key and other information specified by the Firebase console. Spoonacular Add the following code to src/creds/spoonacular.js , along with your API key: export default { key: "API_KEY" } Built With firebase firestore javascript speechapi spoonacular vue Try it out github.com defhacks-2020.web.app saucer.tech
Saucer
A comprehensive solution to food waste in the digital world
['Tanay B.', 'Riley Kong', 'Ritvik Pandey', 'Siddharth Nath']
['Script Foundation: Innovation Hack of the Year']
['firebase', 'firestore', 'javascript', 'speechapi', 'spoonacular', 'vue']
15
10,267
https://devpost.com/software/pulse-watch_and_vest
PULSE WATCH AND VEST Problem Background Heart Disease is the leading cause death constituting 31% of the total deaths in the world and therefore early diagnosis is a critical for its appropriate treatment.Some of the early symptoms of any kind of heart diseases are associated with abnormal heart rhythms which cannot be naturally felt by the person himself until it becomes major and affects the body. A regular heart rhythm has a familiar pattern but when your heart beats irregularly then its called an arrhythmia. It doesn't means it's beating too fast or too slow it just means its beating out of its normal rhythm and that can cause problem. The most common problem due to arrhythmia is atrial fibrillation or A-fib and it affects tens of million of people and is leading cause of heart stroke. The challenge is that if we can develop a device that is user friendly and can detect these small variations in heart activity so that degradation in heart health can be detected at an early stage and effective treatment can be taken. Introduction Pulse is a heart rhythm monitoring band and Vest solution for both normal users and heart patients that put the complete mechanism of ECG, PPG - heart monitoring and physical activity tracking together assisted with Machine learning and Cognitive thinking system to collect data on irregular heart rhythms and notify users who may be experiencing atrial fibrillation (AFib), Tachycardia, Bradycardia, Missed beats or any other heart conditions. Pulse Watch & Vest can predict the risk of heart attack, stroke, cardiac arrest and other deadly heart diseases by monitoring various parameters of the heart like Rhythm, Beats per minute, Depolarization-Polarization cycle, blood pumping intensity, recovery rate throughout the day. The system employs Machine learning and becomes smarter and more accurate day by day with usage and number of diverse users. Features Both pulse Watch and Vest are available for the same use but the Vest is specially designed for the already diagnosed heart patients because it provides more accurate data on heart rhythms and gives higher resolution in ECG graphs due to the placement of electrodes near the heart to make sure that even smaller variation will not go undetected. For the patients suffering from arrhythmia the app notifies up to 5 selected people if the user gets sudden heart attack via SMS so that required help can be received within the golden time period. Pulse Watch can be used by normal users to keep check on their heart health and predict the possibility of coronary artery disease. It also features a pill tray which stores the medicine "Sorbitrate" that works is life saver during a heart attack. The devices work by pairing with an android application that displays the health statistics of the user and also give critical notification if the person is suffering from heart disease. Hardware and Software(How to build one?) Let’s get started with the Hardware part first. For the watch and Vest module, I have printed a 3D case which comprises of all the sensors and micro-controllers in an alignment so that it could fit properly and gives better results. The sensors and controller in Watch and Vest module used are :- Teensy 3.2 development board(Watch) Arduino Mini Controller(Vest) 0.96 inch 128x64 OLED display(Watch) 3 small rectangular Copper plates acting as electrodes(Watch) 3 large rectangular Copper plates acting as electrodes(Vest) MAX30105 particle sensor(Watch) AD8232 Single Lead Heart Rate Monitor(Watch and Vest) MPU6050 Accelerometer and Gyroscope(Watch) HC05 Bluetooth module(Watch and Vest) Battery pack Lithium-Polymer(Watch and Vest) Individuals connections of sensors, batteries to controllers could be found easily on simple google search. So that’s not included here. After completing all the connections and fitting components inside the case, you could fire up the Arduino IDE and start the software part of this project. Primarily, you have to load all the libraries given in GitHub Repo below. After loading them, open the final_watch.ino file in the Code section and connect your Teensy board in watch with the computer via a usb cable. Hit the shortcut Ctrl+U or Upload option and the code gets loaded in the board without any errors. If there are any, ask me in Issues. Here the watch part is completed and for the Vest controller repeat the same steps as above in watch but here we use the final_vest.ino file and Vest module will be ready for functioning. Here your software part is also done. Now you open up the Pulse App provided in this project and prior to opening up the app, you have to pair your smartphone Bluetooth with the Watch and same for Vest. Now go back to app and complete the login or registration process after which a connect option is displayed in the app which you have to select and there you have everything setup and able to use Pulse Watch and Vest. Challenges There were not many challenges faced during watch and vest module development but the two major challenges that are worth mentioning are: There was a significant obstacle that came in the development of hardware part. It occurred during the wiring and fitting of the sensors inside the watch as it is a very small casing and there is no space left like it is solid tight. So that was one real time consuming. Another one is the designing of algorithm for everything to work according to the plan. Error solving is not at all an easy job and is the real trouble during any software development part. Inspiration There’s a sad painful story for the motivation to develop this project and it’s about one of my family members who was a heart patient and wasn’t able to live much due to a sudden cardiac arrest. He was my uncle aged 45 years. One day when coming back from the office while in a subway, he experienced a cardiac arrest and he already felt the abnormalities but can’t help it. Doctors said that if he were brought to them 2-3 minutes prior than they could have saved them. After that incident, I started to think what we have a product that is real handy and could keep track of heart conditions in real time and also notify nearby ambulances and loved ones of the user conditions If a sudden heart attack or cardiac arrest took place. Also, the vest that gives more accurate results will help the doctors keep track of their patient’s ECG graph rather than giving appointments for ECG test on a weekly basis. A pill called “Sorbitrate” is really helpful for heart patients during the worse conditions and therefore a pill tray is also incorporated in the watch. Built With arduino autodesk-fusion-360 c++ google-app-engine google-cloud google-cloud-artificial-intelligence google-cloud-sql machine-learning Try it out github.com
Pulse Watch and Vest
Pulse is a heart rhythm monitoring band and Vest solution to collect data on irregular heart rhythms and notify users who may be experiencing any heart related diseases.
['Bharat Sundal']
['Script Foundation: Prototype of the Year']
['arduino', 'autodesk-fusion-360', 'c++', 'google-app-engine', 'google-cloud', 'google-cloud-artificial-intelligence', 'google-cloud-sql', 'machine-learning']
16
10,267
https://devpost.com/software/music-speak
Logo_MusicSpeaks.tech 3D_Model HomePage_Website Arduino Our_Team_NaKesMo Inspiration lack of entertainment inspired us to make something which may be beneficial for the society and also would be entertaining. By using the device, user can enhance its piano skills What it does MusicSpeaks is kind of a mini piano through which different types of musical sounds can be generated by clicking buttons and audio frequency can be adjusted by tilting left to right as it has tilt sensor in it. It is cheap and good source of entertainment for the quarantine period How I built it We did 3D modeling to design the outer part which has holes in it for buttons and for thumb grip. The programming part of the arduino UFO was not that difficult, where we added some buttons, speaker, tilt sensor, some resistors to control the flow of current and battery. The website for the hack was made through bootstrap. Challenges I ran into All the teammates belonged to different time zones so, it was difficult to work at the same time but we divided amount of task and worked accordingly Accomplishments that I'm proud of This was my first time working on 3D model and a hardware hack. I got to know about arduino, its working and also how can it impact our life in a positive way and also it game me tonnes of ideas that can be helpful in future hackathons. What I learned I got to learn about arduino, 3D modeling and using hardware for hackathons. I felt glad that I got to know more about cultures of the countries from where my teammates belonged to and also they got to know more about my country and culture too. What's next for Music Speak We plan to make a platform through which different users can connect and play tones and music together and would give users Musical notes to play different tones. We would be also bringing the tutorial videos for the users and for intermediate users so that they could enhance their skills. Built With arduino bootstrap ufo Try it out github.com naseeb0.github.io
MusicSpeaks.tech
Music speaks louder than words!
['Keshav Majithia', 'Naseeb Dangi', 'Min Min Tan']
['Script Foundation: Best Team of 2020']
['arduino', 'bootstrap', 'ufo']
17
10,267
https://devpost.com/software/healthrific
Contact free basin modified design Actual picture of Basin Actual hardware pic SignIn page SignUp page Forgot Password page Kiosk Test Self Assessment Test Covid 19 Updates Health Tips Results of Self assessment test UV-C todo Built With bluetooth dart firebase flutter Try it out github.com docs.google.com drive.google.com
no
na
['Haripriya Baskaran', 'Mohammed Mohsin']
['Script Foundation: Best Healthcare Solution']
['bluetooth', 'dart', 'firebase', 'flutter']
18
10,267
https://devpost.com/software/fundit-gtqdkb
MoneyQ A platform that democratizes access to capital for small businesses via crowdfunding Built With dart firebase sql square uipath
MoneyQ
A platform that democratizes access to capital for small businesses via crowdfunding
['Rishav Raj Jain', 'Sulbha Aggarwal', 'Rupakshi Aggarwal']
['Script Foundation: Innovation Product of the Year']
['dart', 'firebase', 'sql', 'square', 'uipath']
19
10,267
https://devpost.com/software/tuder-glhfe5
Tuder logo Tuder There isn’t a good professional website dedicated for finding tutors and it is hard to find one in general. Especially during quarantine, students and teachers are driven further and further apart. We created Tuder, an inclusive app designed to bridge students and tutors together. It was built using Android Studio. Tuder is a safe, all-inclusive platform that allows students to find teachers that suit their needs exactly. The app includes 4 main screens: homepage, private messages page, profile page, and settings page. On the homepage, you can search for a specific teacher or you can start swiping to see who is available. The tutors will also be able to swipe tutees that they want to teach. If both the tutee and the tutor swipe right, they will then be able to privately chat with each other. The private messages page allows the student and the tutor to communicate. The profile page shows the basic information about the tutor or the student. Furthermore, you can change the privacy or notification settings on the settings page. More functions will be explained in the video. Tuder is free to use for both tutors and tutees. Students can swipe right (or left!) on as many teachers they wish to. Tutors are limited to swiping right on 5 students every 24 hours. With a premium membership of $10.00/month, teachers are able to swipe right on as many students as they please. Tuder is financed through donations, advertisements on the platform and the premium membership it offers. Advertising partners will be screened for child-friendly content. Tuder was created by a team of 5 incoming University of Waterloo Computer Science students, Annie Chen, Rachelle Dong, Hyeonji Kim, Haley Song and Grace Xu. Built With android-studio java Try it out github.com
Tuder
Tuder is an inclusive app designed to bridge students and tutors together.
['haleysong576 Song', 'Annie Chen', 'Hazel Kim', 'Rachelle Dong', 'Grace X']
['Script Foundation: Female Empowerment Award']
['android-studio', 'java']
20
10,267
https://devpost.com/software/bytes-4-all
Our Logo Home Page Page to select whether you are a food pantry, volunteer, or farm Inspiration Per day 1.5m gallons of fresh cow milk from dairy farms, hundreds of tons of potatoes from farmers in Washington, and even more stock from poultry farms - hog, chicken, euthanized hen - have been crippled and thrown away as waste causing the “anarchic food supply chain” to. This fall is especially hard on minority accountings of immigrant farmers, who have been the worst hit due to their undocumented status that deprives them of any economic relief. As unemployment rates begin to rise due to Covid-19, there are more hungry mouths than ever. This is, no doubt, the toughest challenge the US has faced since the Great Depression. In light of the current events, we stand in solidarity by the sides of those whose lives have been uprooted by unprecedented conditions as a result of Covid-19. We wanted to use our skills to find a way to give people and farms the tools they need to get food on the plates of those in need, rather than in the trash. Thus, Bytes 4 All was born. What it does So, to help farmers gain some relief “in this monopolistic corporate food system that’s designed for profit and market control, not for sustainable or equitable farming and eating” (The Guardian), our team came up with a website that connects food pantries, local farms, and volunteers. Bytes 4 All inputs your email address, username, and password to log on or sign-up and then allows you to choose which type of user you are: farm, food pantry, or volunteer. The web application connects local farms to volunteers in the area to help get the extra food to local food pantries. How I built it We used Glitch to host our project. First, mockups were made in illustrator. Most of the work was done in the front end using HTML, CSS, and JavaScript (with jQuery). The backend was written in Python and used SQL connectivity to create an interface to the local station database. This was attempted using Django as the framework, although futile. A cloud-based database (Firebase, Heroku) was also attempted, but due to time restraint, the setup is incomplete as of now. We also utilized ArcGis, working with maps and geographic information to display the availability of food when clicked on farms/pantries, and utilized user input data to determine the distance connecting farms to nearby pantries. This information is of major use to volunteers, to give them an accurate visual and numerical representation of the work that needs to be done on their end. Challenges I ran into One of the biggest challenges we faced was trying to connect our web app to the cloud. A key aspect of our web app is that it can connect users of all different types, from any location, which is only doable with a database interface like Firebase or Heroku; however, with the time restraints, we were unable to set up a database that could handle multiple types of users as well as food requests. Accomplishments that I'm proud of The team members, despite being from different countries (USA, India) and drastically different time zones, collaborated to create an awesome project. As beginners, we used this hackathon not only as a competition but also as a learning opportunity to use cool tools and play around with the unfamiliar technologies, like Heroku and ArcGIS, that we discovered while researching for the project. What I learned Remote collaboration skills, ArcGis, Heroku, and the devastating impacts of COVID-19. What's next for Bytes 4 All Since we believe Bytes 4 All can make a major impact on our communities, we plan on continuing with this project. We plan on reaching out to farms, as well as pantries to establish a user base. We want to integrate Google Firebase into our web app to establish user data sharing, like food requests and farm availabilities, to connect volunteers to local farms and pantries through the cloud. Also, we plan to add a scheduling feature so volunteers can pick time slots to volunteer at farms to help promote social distancing by adding a maximum limit of volunteers per time slot. We also plan to implement QR codes for hands-free check-ins that send an email to users. Finally, we plan to add location services to calculate distance from farms, pantries, and volunteers, so the web app can offer resources closest to the users. Built With css esri firebase html5 javascript Try it out bytes4all.glitch.me glitch.com
Bytes 4 All
Connecting local farms to food pantries to prevent food waste and help those in need during the Covid-19 pandemic
['Siri Tanguturi', 'Hunter Malinowski', 'Maniya Dahiya', 'Anjali Kumar']
['Script Foundation: Smartest Team']
['css', 'esri', 'firebase', 'html5', 'javascript']
21
10,267
https://devpost.com/software/makes-cents
Landing Page Linking Bank Dashboard Settings Inspiration Social injustice speaks volumes about the world we live in today. Time after time in history, Black lives have been dismissed and systemically targeted in a negative light; we stand in solidarity against repetition of Black oppression in our history. Discrimination towards Black lives must end. We understand that working to abolish the social injustice directed toward the Black community may seem intimidating with the plethora of ways to contribute to the Black Lives Matter movement. We wanted to create a platform that would enable people to contribute to fighting social injustice, no matter how big or small. By creating Make Cents, our goal of helping support human rights and the end of systemic racism is now simple and streamlined. Together, it is our responsibility to cease anti-Black sentiments. Creating an impact can start with baby steps, beginning with something that makes sense. What it does Make Cents provides anyone the opportunity to donate change to various organizations dedicated to fighting racial injustice and supporting black communities. Users start by creating an account and linking it to their bank account through Plaid in a secure and intuitive manner. Users can then search for and select different organizations they wish to donate to, shown with information regarding their causes and links to their websites. Once they have selected their organization preferences, everyday transactions will automatically be rounded up to the nearest dollar, and the spare change will be donated to the respective causes. Via the dashboard, users can see their recent transaction activity and view different statistics on their donations, summed up by a donation activity graph. Users will also be able to add multiple bank accounts/credit cards with each unique one contributing to a different organization. How we built it The frontend was built using React, Ant-Design, HTML, and CSS. The backend was built using Node.js, Express, and APIs for Plaid and Stripe . These two APIs allow us to connect with the user's bank account and keep track of their transactions. We use Firebase to store login information and general user data. Challenges we ran into The biggest challenge with the project was interfacing with the Plaid and Stripe APIs. Having everything work out from the third-party APIs through our backend proved to be tricky, but we were able to figure out and eliminate the bugs we encountered. Accomplishments that we're proud of We're proud that we were able to make a full-stack web application like Make Cents in such a short amount of time. Make Cents combines banking transactions and payment processing on our backend with an intuitive user interface on our frontend. We believe that Make Cents could easily be an application utilized by anyone in order to contribute to fighting social injustice. Our application is simple for anyone to use, making it easy for users to easily find organizations to donate to. We're also proud of how well we adapted to a virtual hackathon. Our team stayed in strong communication throughout the hackathon, constantly staying on both Zoom and Facebook messenger. Coupled with Git for version control, we were able to work efficiently and effectively, despite the fact that we were in separate locations. What we learned We utilized a large amount of technology to create Make Cents and we all learned a lot from working with so much of it. To reiterate, we called several APIs including Stripe and Plaid. In addition, the whole server was tied together with a Node.js, Express, and Firebase backend. On the user side, we designed our application first with Figma. The application was built using HTML, CSS, and Javascript with React being utilized as the front end framework. Finally, as stated before, we utilized less and Ant Design to beautify our application. The large amount of technologies that went into this application meant that this entire project was a constant learning process for all five of us. We had a lot of fun facing the numerous challenges that were thrown at us and we were not scared to get knee deep into documentation. What's next for Make Cents We didn't have a chance to create a system to deduct the change from the user's account. This is the next crucial step to making the website functional. We would also need to set up a payment system to make sure that the user's donations were properly sent to the charities that they chose. Built With ant-design css3 express.js firebase html5 less plaid react stripe Try it out github.com
Make Cents
Be the Change by Donating Change
['Justin Nguyen', 'Thang Phan', 'Henry Chan', 'Steven Steiner', 'Jeffrey Ha']
['Script Foundation: Social Team of the Year']
['ant-design', 'css3', 'express.js', 'firebase', 'html5', 'less', 'plaid', 'react', 'stripe']
22
10,267
https://devpost.com/software/cherub
A behind-the-scenes glimpse of the Firestore database. Website Landing Screen Website Empty Search Screen Website Contact Screen Website Results Website Search Specific Results Door Selection Computer Vision in Action 1 Computer Vision in Action 2 Inspiration These past few weeks, we've all had the experience of going to the store only to have to cue up outside because the store was at capacity. As we speak, more businesses are opening, but many are restricting the number of customers that can be in the building at one time due to the pandemic. For one, it's hard to track the number of customers in large buildings, such as malls. Moreover, even when the number is being tracked, it isn't always available to consumers unless they physically go to the store. Even when it is, the crowd information for many different stores is rarely aggregated in one place to allow customers to make an educated decision about where/when it is safest to shop. What it does Using cameras and CCTV in public places, CHERUB provides real-time information about crowd levels to users. As an added bonus, CHERUB also provides users with information about mask restrictions. The user can search for locations by a specific category and their location and CHERUB will provide them with a list of places sorted by proximity. This information is all available at https://cherub-9df2c.web.app/# . How we built it The project involves the interaction of a javascript website front end with a python backend and Google Firestore to communicate between them. The python script takes continuous video footage and uses a detection-tracking algorithm to find people. Pedestrians are found using OpenCV with a pre-trained detection algorithm and are tracked with DLib to reduce computation time. If a person crosses the border of a door, they will either be counted as entering or leaving the location based on where they walk. From there, if the number of people changes by a significant amount (e.g. by 5), the Firestore database will be updated. Whenever the database updates, our Cherub website updates its information to be presentable. On the website end, when the user searches by location and category (e.g. entertainment, food, etc.), a list of applicable locations that have signed up with us will appear to the user. Additionally, to make it user friendly for the store owner, an additional python script was written to allow them to easily set up bounding boxes for entrances. In layman's terms: A script run on an onsite device continuously analyzes video footage to determine when people enter and exit the location. A live count of the number of people in the place is stored in the cloud. When a user accesses the CHERUB website, the website queries the database for the type of place the user is looking for (entertainment, restaurant, grocery store, etc) and displays those that are geographically closest to the user. Challenges we ran into On the database end, integrating Firebase with python and connecting it with Firestore was quite challenging. For the computer vision algorithm itself, tracking where people move and associating movement with entering and exiting a building was somewhat difficult. Determining geographical points based on zip code was also somewhat tricky. As in these cases, if one aspect took longer than expected, a major challenge was developing a way for everyone to keep working even if the parts were interdependent on each other. As for the setup itself, coordinating ourselves without any physical communication was somewhat difficult, as was hyping each other up even when we weren't able to high five each other in person. Accomplishments that we're proud of We've had quite a few great moments of victoriously jumping up and down behind our screens, and shouting over each other in the Zoom call. For one, when we first got the Computer Vision algorithm to read in a sample YouTube video we found and count the number of people in and out. Another great moment was bridging the website to the firebase to the computer vision. We were working in four different houses and as many different languages, but we managed to tie everybody's piece together. Completing the user-end website was also exciting because it meant that if we set up our code at a store, via a device like the CHERUB Box described below, it can immediately start benefiting the community. We found a problem in our lives and communities, and we developed a solution that actually fixes it! We're very proud of that. What we learned On the computer vision side, we learned how to track and count the number of people entering/exiting an area. In data storage, we learned how to use Google Firestore and host a website on Firebase. On the JS side, we learned how to debug as a team via video call. One of the main learning experiences was how to manage a multilingual project (Major components in JS and Python), and quickly design an overarching structure with everyone working on their strong points. What's next for Cherub How it will impact the world CHERUB can be used in an almost unlimited number of situations. First, it can help promote preemptive social distancing in various locations including stores, malls, theaters, restaurants, and more. The stores simply install CHERUB to run on their CCTV footage. Individuals can access the CHERUB website to determine which locations have low traffic and are safe. However, that's just the tip of the iceberg. Stores and offices can use CHERUB locally, without sending the information out to the public, to determine high traffic times of day, when social distancing policies should be more rigorously enforced. The CHERUB Box, a black box installation of CHERUB, can be set up outside small spaces such as meeting rooms and bathrooms to provide information about the crowd level inside. This could be accomplished via a small light on the box that would blink red if the room was at capacity. CHERUB Box can also be set up locally at schools to count the number of students in and out, so that in the event of an emergency evacuation, teachers can quickly determine whether every student has left the building. Additionally, CHERUB can be applied to manage protests. When many people are moving in and out of an area at the same time, it can be difficult to determine the general trend. CHERUB does the counting for you. It can determine when there are too many people in an area to maintain safe social distance so that the people in the area are aware that it's best to spread out. TL;DR: Amongst other uses, Project CHERUB promotes the "new normal" by allowing people to plan for social distancing and safe public outings. Visit us at https://cherub-9df2c.web.app/# . Improvements to the algorithm The main improvements to the algorithm would be to make it a more user-friendly experience for the store owners. To do this, an intuitive and easy set-up script can be written to walk them through the initial steps. If CHERUB becomes easy to install and get started with, it would promote usage which would ultimately help the community. The detection of when a person enters a building can also be changed and improved. Our current model only checks whether a person is inside the bounding box of a doorway but this can be problematic if the camera is placed in front of a clear window that is not the entrance (since people inside could be mistakenly counted as leaving the store). Solutions can be to use projective geometry techniques such as the cross-ratio to better determine distances or use cameras from multiple angles to achieve the same purpose. The pre-trained model used for CHERUB can also detect much more than people. Because of this, it can have applications in other locations. In parking garages, CHERUB can detect the number of cars in or out, letting the user know which garages are full, and which have open space. On a farm, CHERUB can be used to quite literally count sheep (or any other livestock), so that farmers can ensure that all of their animals are safely in for the night. The CHERUB Box While some places such as stores currently have live video footage of their entrances and exits, CHERUB doesn't need to be limited to these locations. A small black box computer containing the CHERUB software and linked to an onboard camera can allow CHERUB to be easily set-up and operated anywhere in the world. We aim to partner with the commercial sector and the public to make CHERUB available everywhere where running totals of people in an area could prove useful. In the era of "new normal," the world needs a way to easily incorporate social distancing into their lives. CHERUB is here to help. And even after COVID-19 is defeated, CHERUB will be here to continue serving the world. Built With bash css3 dlib firebase geopy github html5 javascript opencv python Try it out cherub-9df2c.web.app github.com
Cherub
Know the crowd level in a public place before you even leave home. Project CHERUB promotes the "new normal" by allowing people to plan for social distancing and safe outings.
['Neil Kale', 'Vinnie Jeyakumar', 'ToyeshJayaswal Jayaswal', 'Harsh Patel']
['Script Foundation: Jugaad of the Year']
['bash', 'css3', 'dlib', 'firebase', 'geopy', 'github', 'html5', 'javascript', 'opencv', 'python']
23
10,267
https://devpost.com/software/datapaneer
Our image recipe reverse engineering result Web app demo with the style mask applied to dish DataPaneer DefHacks 2020 Submission | GitHub | YouTube | Collaborators : Vikram Sambamurthy , Siddhartha Datta The goal of our project is find new ways to titillate the taste buds of our users and keep them entertained during the onset of COVID-19. Cooking at home is a fulfilling way to spend time, and we wanted to make this accessible for anybody by recommending to them different recipes that they could try, which are not out of their skill level or taste. How it works Users enter the site, filter dishes based on their dietary or nutritional needs. Users can select among a gallery of dishes, and clicking a dish will return variations of that specific dish. Variations can be generated by neural style transfer or generative adversarial networks (cycleGAN), based on physical appeal. Users can click the dish they wish to cook, and based on a multi-input-multi-output model trained on (images, [ingredients, recipe]) pairs, we can reverse-engineer the steps needed to recreate the dish. Roadmap to this product Scraped food data (image, ingredients, health information) from allrecipes.com Recipe recommendation engine Food style/variations generation (food style transfer) Recipe generation (image → list of ingredients reverse engineering) Web app Weights and Data Weights can be downloaded from here . Data for training CycleGAN: [food] Food Style Transfer Style weights stored in ./fast_neural_style_transfer/models . CycleGAN Place data in ./datasets/ with image set pairs as trainA and trainB for training. Development server Run python server using python app.py command Built With css html javascript jupyter-notebook python Try it out github.com
DataPaneer
Putting the spice in data
['v97']
[]
['css', 'html', 'javascript', 'jupyter-notebook', 'python']
24
10,267
https://devpost.com/software/covid-19-tracker-2-0
Inspiration The inspiration came in regards to the level of uncertainty this pandemic has instilled in everyone. I figured to keep everyone educated as much as possible about COVID-19 and become more aware of the subtle and direct factors involved, it would be a great indicator of whether or not one will be infected with COVID or not. What it does What the app will do is take into account the following factors... Your location (your town of residence, your county, your state; the scope can be adjusted) Your overall health (any underlying conditions, any habits, etc.; mark all that apply) Who you've interacted with How long you've been outside Sanitization habits (gloves, masks, disinfecting surfaces, etc.) Upon filling out the following information, you will be given a percentage that determines your likelihood of being infected by COVID-19. The mathematics involved is based on independent event probability. How I built it Actually, Tobi and Anish helped build the app (Anish will explain in the video demonstration). I just provided a theoretical mathematics-based framework from which the app is based on. Challenges I ran into One particular challenge was getting Python and HTML to interface with one another so that should data be input and output, it will display itself (sounds useful as a mobile app). But it was thanks to Anish that we decided to use Flask to get it to run since it runs on Python and operates for a web framework. Also, Tobi had provided a general HTML template with which to work from. Another challenge is fleshing out the mathematics of the probability the user would be infected by COVID-19. After some scouring on the internet, I realized it would take too long to research and test out. Hopefully, someone can take the app's mathematics and continue where I started. Accomplishments that I'm proud of I'm proud of having encountered this team and being able to learn at least a little bit of what they have done so that I may implement it into my own skillset as well. What's next for COVID-19 Tracker 2.0 What's next for COVID-19 Tracker 2.0 is that it would be run on a server, not locally (not like as shown in the video demo). Furthermore, the mathematics I proposed should be used (mostly probability) would be fleshed out so that way Anish and Tobi's respective Python and HTML work can be complete. Built With flask html python Try it out github.com
COVID-19 Tracker 2.0
To continually educate people in how COVID-19 works and assuage fears in this pandemic, this app will determine the likelihood at which each individual will be affected via a variety of factors.
['Eric Graham', 'Anish Karthik']
[]
['flask', 'html', 'python']
25
10,267
https://devpost.com/software/unocode
I didn't actually create this during the jam, I made it before. I didn't know what to create, or what to expect from a hackathon. It is completely my code however. I was thinking of making a solo game during coronavirus to enjoy, and I made Uno. Next hackathon, I will probably collaborate more with others and ask for assistance on ideas and coding. Built With python Try it out github.com
Uno Card Game Code
My project was creating Uno in python, with you playing against 1-7 "computer" players.
['Lukas Tomita']
[]
['python']
26
10,267
https://devpost.com/software/cardar
C# scripts Using Unity to create AR project Inspiration We wanted to make playing cards more available to everyone during COVID-19 using Android or iOS. So, that's why we decided to make PlayAR Cards to be playable using AR technology. That's the main objective of PlayAR Cards What it does It uses Unity Game Engine and Vuforia AR tech to create an immersive experience of playing cards right from mobile, as well as echoAR to stream the card models. It requires only the app to get the AR experience in which the player will start to like when he/she starts to play! How we built it It required immense planning, and assumed the objective of the player on how the cards will be played, shuffled etc. By this technique, we managed to get an overview. So, we used C# for the functionality and linked textures onto the card model. Challenges we ran into Some of us are new to Unity and hence it is a challenging problem. We had to go through each and every tutorial to learn Unity during the hack and then implement what we learned. Another challenge was implementing the AR engine into the app. What we learned Well, some of us learned how to use Unity, basics of C#, applying textures, making the model into AR project, using the Vuforia AR engine What's next for PlayAR Cards We hope to continuously expand our library with more card games to be played for family fun with everyone. Warning! Project is yet to be completed, Sorry for that, though! XD Built With c# echoar git unity vuforia Try it out github.com
PlayAR Cards
PlayAR Cards brings any card game right to your phone
['Steven Shlimoon', 'Aadhitya A', 'Rebecca Chu', 'Stew Esho']
[]
['c#', 'echoar', 'git', 'unity', 'vuforia']
27
10,267
https://devpost.com/software/papr-light-5kf3gw
............... Try it out devpost.com
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['Mohamed Hany', 'Salma H.Gamal']
[]
[]
28
10,267
https://devpost.com/software/corona-chill-zone-dvsozm
Inspiration + What it does As a result of the recent Covid-19 outbreak, countless people around the world lose out on social interaction. One of the best ways to remedy this is to chat online. Hence, our creation that runs on a server, connecting users around the world to have access to means of social interaction as well as a fun and interactive game. How I built it Using a combination of various resources found on the internet (basic syntax, functions, etc.) and prior experience in other coding languages Built and shared on Repl.it Challenges I ran into At first, we tried to create a multiuser website without a server. However, the website glitched and refused to function properly. We spent hours debugging, but in the end we just decided to scrap the website and start anew. Accomplishments that I'm proud of Creating a functioning server Adding game graphics A moveable character What I learned HTML, JS, CSS - Basic syntax, Styling, EventListeners Express - application framework Socket.io - Host servers, emit function, socket.on(event...) What's next for Corona Chill Zone enhance gameplay and graphics in the game Built With css html javascript node.js Try it out github.com menu--kevintan8.repl.co
Corona Chill Zone
A multiuser platform where users can choose to play a game or chat.
['Jillian Xu', 'Kevin Tan']
[]
['css', 'html', 'javascript', 'node.js']
29
10,267
https://devpost.com/software/securenote
SecureNote A BlockChain Based Textual Content Sharing Application Abstract:: The Textual content sharing system serves as a major backbone for resolving problems and providing security. Unfortunately, there are some issues with the existing system which can be solved using blockchain technology.Nowadays this application can be used for contact tracing of a particular person infected with the virus by updating the contact detaIis of a person like his travel history. In India, most health complaints of people are not solved and even if the complaint gets registered, most of the higher officials are unaware of the complaints as most of them are being manipulated in between. This kind of problem can be solved using a decentralized platform for people to register their queries, which all the officials in that particular zone can access and take action immediately without means of altering the message. Working Model:: When a user enters a complaint, it gets registered into one of the blocks in our blockchain system in a systematic manner. Once all the Blocks are mined, the list of complaints is made visible to everyone over the network. As the content provided by the user is stored in an individual block which is then attached to the blockchain networks makes it impossible for anyone to alter the content. SOFTWARE RQUIREMENTS :: PYTHON 3.6 Flask==1.1.1 Flask-Admin==1.4.2 Flask-Cors==3.0.3 Flask-Migrate==2.0.0 Flask-Script==2.0.5 Flask-SQLAlchemy==2.1.0 blockchain 1.4.4 Built With css flask html javascript python Try it out github.com
SecureNote
A Decentrilized content sharing platform
['chaitanya kotcherlakota']
[]
['css', 'flask', 'html', 'javascript', 'python']
30
10,267
https://devpost.com/software/defhacks2020-98nhco
defhacks2020 I did this project for a Hackathon, I will update the code once a while if I need to. I wanted to create an interactive map that has all kinds of information regarding covid19. I was out of time and didn't have time to complete everything but ideally it would also have testing centers, death tolls, hospitals that allows walk-ins, and places that are still open, places that offer contactless service etc. Please read the README to run the code! It uses libraries and modules that requires download! I hope you guys enjoy. Built With html javascript Try it out github.com
Covid19 In Massachusetts
A short project for Covid19
['Brian Jung']
[]
['html', 'javascript']
31
10,267
https://devpost.com/software/covidthinktank
Home page with project posts from other users Submit your idea page, form for project submissions on the site Submit your idea page with a sample project's information COVID Think Space logo Inspiration Several developers across the world are working on solutions to address the COVID-19 pandemic. During the past few months, most hackathons on Devpost have been centered around creating innovative products for the virus. While these are great mediums to create solutions and improve your own coding skills, the typical 24-36 hour sprint to create a prototype limits functionality and discourages many developers from continuing their project after the closing ceremonies are over. Further, hackathon participants tend to reuse ideas that have already been tried at previous hackathons when under pressure to develop a functioning product in such a short amount of time. Our team values continued innovation through tech against the pandemic. For this reason, we created the COVID Think Space platform for users to come together and work on COVID-19 related, long term projects, overcoming the temporary hackathon project mindset. What it does COVID Think Space is a collaborative web app that allows users to keep track of innovative, ongoing projects that address problems caused by COVID-19. Users can add posts about current projects that they’re working on using the “Submit your idea” feature. These posts include the project name, description, and links to the project. Other members of COVID Think Space can upvote project posts that they are interested in, allowing developers to garner a wide audience of developers interested in helping out with the project. By creating a safe and welcoming online community for COVID-19 innovation, our team hopes to increase the turnover rate of project ideas into physical solutions. Through its open format, COVID Think Space helps reduce duplicate ideas and maximize efficiency so that developers across the world are able to focus on projects that matter. How we built it Our team built our web app using the React.js framework. We stored the data that users submitted in their posts (name, title of project, description of project, and link to project) in a database using Firebase and accessed this data to display on our web app. Challenges we ran into Since some of our team members were completely new to React.js, it was challenging to understand our more experienced teammate’s code during the hackathon. However, we were able to overcome this challenge by working with React.js to add features to our web app. Watching tutorials and seeing examples on the web was also really helpful in helping us become more comfortable using React.js. Accomplishments that we're proud of We are proud of our team’s collaboration on COVID Think Space and the functionality that we were able to achieve during this 36 hour hackathon. We were in frequent communication with each other over our team’s Discord server and the teammates that were more experienced with the technologies we used would always offer to help the teammates who were newer to React and Firebase. What we learned A couple of our team members were complete beginners at React.js, so we learned a lot about how components work through adding features to our web app as well as tutorials on YouTube. In addition, our team learned how to integrate Firebase services into our web app for the posting functionality. What's next for COVID Think Space Our team firmly believes that COVID Think Space is a sustainable platform for developers and has the potential to output a ton of innovative solutions for the COVID-19 pandemic. In the future, we hope to integrate login capabilities into COVID Think Space so that users will be able to build up a following for their projects. In addition, to help facilitate team collaboration, we are looking towards implementing chat rooms for each different project so that users will be able to talk to each other more easily. Another interesting feature we were thinking about was to link COVID Think Space to other platforms such as Trello and GitHub to encourage innovation and clear methodology for these projects. Even when the pandemic is over, the platform that we created is flexible to repurpose towards another important cause, such as poverty or environmental sustainability. Built With css firebase html javascript react typescript Try it out covid-thinktank.web.app covidthink.space
COVID Think Space
A platform for developers to collaborate on COVID-19 related projects.
['Alayna Nguyen', 'Shubham kirve', 'Topik Miller']
[]
['css', 'firebase', 'html', 'javascript', 'react', 'typescript']
32
10,267
https://devpost.com/software/grocery-list-app-8kwc7b
Our team met on Slack, and this our first time working together. We are located in Washington State, Texas, and China. When deciding on an app to build together, we first looked at what our individual skills were and where we wanted to improve. Zachary had prior experience with web development and Samuel wanted to learn from him, so they focused on front-end development together. Daniel was adept at back-end development with Flask, so he focused on back-end and implemented our authentication system. Deepayan had experience with Azure and wanted to learn more about computer vision, so he implemented our nutrition label OCR solution. We decided to build a grocery app to help users easily track the nutrition of the foods they buy for two reason. First, it provided a good challenge for us to develop our skills. Second, obesity is a growing problem around the world, and an app like this provides a convenient way to scan nutritional details without the need to manually enter information. Our biggest challenge was working together when we're located thousands of miles away and in different time zones. Connecting the front-end, back-end, and OCR was difficult. To solve this, we used GitHub to sync our work and used modular design so that each component could be developed independently. For example, Deepayan built his OCR tool as an API which could by an http-endpoint. Daniel used a placeholder for nutritional information before the API, and then used the API once it was ready. Built With azure c# css flask html php python Try it out groceryreader.com github.com
GroceryReader
Track your diet by scanning nutrition labels
['Deepayan Sanyal', 'Zhongxuan Wang', 'Samuel Jayagaran', 'Zachary Katz']
[]
['azure', 'c#', 'css', 'flask', 'html', 'php', 'python']
33
10,267
https://devpost.com/software/mlhacks-dgtz
MLHacks-DGTZ Team Members - David Yu, Gursharan Grewal, Tinh Le, Zubin Singh. Major league hacking COVID fighter game COVID Defender is a game developed as a Java Applet, where the player plays a role where they use a vaccine to destroy invading Covid-19 viruses. The game takes input from the player's keyboard, allowing for the vaccine to have horizontal movement, while simultaneously shooting the cure at the disease. As most are currently at home during quarantine, COVID Defender allows for the opportunity to escape the boredom of the lockdown and have fun while also having a light-hearted theme that incorporates the virus. Built With java Try it out github.com
MLHacks-DGTZ
Major league hacking covid fighter game
['Gursharan Grewal', 'iZub1n', 'Tinh Le', 'David Yu']
[]
['java']
34
10,267
https://devpost.com/software/forget-me-not-r9yp6l
Launch Screen Main page Workout reminder page to set time to workout and select the days you would like to workout Sleep schedule reminder page to set sleep time Display of setting alarm Display of sleep schedule with time selected Water Intake reminders page with checkbox to keep track of how much water the user drinks Wash your hands with a 20 second song clip to help prevent spread of COVID-19 Inspiration Our app is made for students, by students. We took inspiration from ourselves! We are all incoming first-year university students who are looking forward to the next chapter of our lives. But along with the excitement, comes challenges as part of our newfound independence. As university students, we know we will have to find a balance between our studies and self-care, and maintain it. We know how hard it can be to build solid routines, let alone turn them into habits, so we decided to create Forget-Me-Not! What it does Forget-Me-Not is an app that reminds students to take care of themselves, users have one app to track all their important healthcare needs. With personal customizations of preference, students will get daily reminders to help them keep track of their water intake, maintain a workout routine, consistent sleep schedule, and wash their hands! How we built it Forget-Me-Not was built on Android Studio, and will soon be integrated into Flutter for iOS development. Challenges we ran into Our biggest challenge in developing this app was finding an efficient way to collaborate on code simultaneously. For many of us, it was our first time using GitHub, Flutter, and Android Studio. We had to quickly familiarize ourselves with the branches and the push/pull features. We ran into issues with committing, pushing, and cloning. However, after hours of research, trials and errors and team-work, we successfully managed to push our code from the editor software onto Github. Accomplishments that we're proud of Our most valued accomplishment is how much we’ve learned and improved in terms of application development through this challenging process We learned and became comfortable with repositories using Github. We were able to successfully create our app with functional buttons. We are also proud of how well we worked together and how much we accomplished in less than 36 hours as beginner hackers. What we learned We learned that Google is our friend! Many of the issues we ran into were solved through some quick research. We discovered many helpful online resources just as tutorials and documentation that helped us create our app. We learned many new Java commands in Android Studio and discovered new design techniques when creating our user interface. What's next for Forget-Me-Not In the future, we would like to implement many new features such as a resources section where we share links to health and wellness blogs, food recipes, and lifestyle tips. We also hope to include a profile section where people can create community groups for users to interact with. Our next big step would be to integrate our work onto Flutter for iOS. Best Domain Hack: http://forgetmeenot.tech Built With android-studio flutter github java Try it out forgetmeenot.tech github.com
Forget-Me-Not
Helping students build healthy habits - made for students by students
['nadine pigida', 'Maryam Afshar', 'Angela Zhou', 'Shahrzad Islami']
[]
['android-studio', 'flutter', 'github', 'java']
35
10,267
https://devpost.com/software/webloom
Inspiration The idea behind Webloom is to help close the gap of knowledge transference between social workers who work with children with special needs, and their parents. What it does It is essentially a records database that keeps all of the student's important information that is needed as well as having the ability to quickly create logs of milestones or certain events with a child. How I built it Webloom is being built using HTML, CSS, JavaScript, Node.js, Mongoose, and Express. Challenges I ran into Some of the challenges I ran into were just limitations to using JavaScipt to build our content management system, as well as implementing a database to store student information. Also, the amount of work needed to be completed within our time limit was a lot more than we had anticipated. Accomplishments that I'm proud of I'm proud that my team and I were dedicated to working hard on a project that acknowledges the very real struggle for social workers, and that our vision was one that was dedicated for helping the social good. What's next for Webloom What's next for Webloom is implementing Flask into our project, to help scale back the amount of work needed to be done within our time constraints. I would like to thank my amazing teammates for the work that has been done and for the effort that has been committed towards our hack. Built With css express.js html javascript mongoose node.js Try it out github.com
Webloom
An app to bridge the gap of communication between social workers and parents of children with special needs.
['Nicholas Santos']
[]
['css', 'express.js', 'html', 'javascript', 'mongoose', 'node.js']
36
10,267
https://devpost.com/software/covid-19-geo-location-population-density-system
Inspiration Inspired by the need of covid 19 What it does Takes the location of people through a website platform and calculates population density How I built it Back end on c++, front on NodeJS Challenges I ran into Connecting the C++ to NodeJS Accomplishments that I'm proud of Making something relevant to the world What I learned Making real things that help people is hard What's next for Covid 19 Geo-location Population Density System Making it work and better functioning Built With c++ Try it out github.com
Covid 19 Geo-location Population Density System
Find the population density of geographic regions to lower the risk of coming in contact with COVID-19
['scottydosentknow Tornquist']
[]
['c++']
37
10,267
https://devpost.com/software/corondoc
Inspiration When all of us watched a viral video of a nurse in NYC sharing her experience having to see so many patients lose their lives in front of her, we knew there had to be something we can do. It's so hurtful to think that while the whole world is social distancing, doctors and nurses have no option but to face the coronavirus, battling all odds only to save humankind. This was our inspiration - if there was some way for them to be able to monitor these patients without having to interact with them, they, too, could social distance. What it does CoronDoc is a band that one can wear around their limbs and chest. In these times, this band is worn around the chest, and the electrodes extract real-time images of the lungs, connected to a monitor. This monitor is then connected to a dashboard for access by a doctor, who is able to analyze this live scan and even compare them. How I built it This is done by using numerous electrodes and sending small frequencies of current from each one. When this is done, the other electrodes experience a changing equipotential, and at the intersections of the frequencies from each electrode, a tomographic image is created. Coupled with machine learning models we wrote, we are able to extract these images into real-time footage of the lung, which expands and contracts as the user breathes. Challenges I ran into It was incredibly tough for us to be able to come up with a successful model of this, given that we did not have much background. For this reason, we each split up to handle one aspect, with one of us doing the machine learning research, two of us experimenting with the hardware available and one of us researching the feasibility of this technology and creating the demo Accomplishments that I'm proud of In the end, we are so excited to share that we were able to create fully functioning technology! Our technology actually works, and can easily be integrated into hospitals. What I learned We learnt the importance of "if there is a will, there is a way" - we all had a passion to help those who are helping us, so we put in blood (figuratively), sweat (literally) and tears (literally) to make this happen. We are so excited to see what this does What's next for CoronDoc We hope to pitch this to investors to get funding and mentorship so that we can actually see it in action in hospitals, helping doctors and nurses around the world. Built With django electrical gcp impedance keras tensorflow tomography Try it out corondoc.space github.com
Best Undergraduate Hack - Machine Learning - CoronDoc
In times when the world needs to socially distance, we haven't been able to come up with ways to help doctors and nurses do the same.
['Anupam Tiwari', 'Anushka Purohit']
[]
['django', 'electrical', 'gcp', 'impedance', 'keras', 'tensorflow', 'tomography']
38
10,267
https://devpost.com/software/imascstore
Inspiration Our inspiration is the problematic of the difficulty in getting access to certificate and safe masks, this was caused by an extreme demand on health supplies. Our app mission is to allow everyone to have health supplies at their disposal by exposing places where they are being sell. What it does Our app provides a tool to connect health suppliers with anyone who needs protection due to the actual situation. It gives us pharmacies and stores near our location that are selling mask. The user can also see the type of mask they are selling, their address, their prices and their stock. How we built it We connected our frontend made in react and our backend in python with react. To store the information we use a MongoDB database. Challenges we ran into We had different challenges in trying to use google API to get different information about different stores around the user location. We also had difficulties in connecting our database with the backend and trying to also connected to our frond end. And our final challenge was to store the app in google cloud, that gave us a lot of problems to the point that we almost missed the deadline. Accomplishments that we're proud of We were able to connect every element of our webpage despise every error we got. We also were able to have great communication as a team giving us a fun experience. We also were able to make our webpage responsive so people can use it on the go! What we learned In the programming are we were able to learn a lot of useful technologies in the web development that we can use i the future. We also learned how to use mongoDB database and how to use google API to get information that e needed. And outside the programming area, we also learned a lot of information of covid-19 pandemic that can helps us prevent in our communities. What's next for imascstore Find local (or even worldwide) stores and pharmacies that can list their inventory in order to make imacstore bigger and do promotion so people can use it and decrease the peak of cases of covid-19. Built With flask google-cloud javascript mongodb python react Try it out PaginaInsumos--estefaniajim.repl.co github.com imasc-store.tech paginainsumos-lfkfda7m2a-uc.a.run.app
imascstore
A mask at reach for everyone
['Estefania Jimenez', 'Edgar', 'Iván Morett', 'Erick Eduardo López Nava']
[]
['flask', 'google-cloud', 'javascript', 'mongodb', 'python', 'react']
39
10,267
https://devpost.com/software/hackathon-quiz-app
Hard Question Example (Answered; Dark Mode) Home Screen (Dark Mode) Home Screen (Light Mode) True/False Question Example (Answered; Light Mode) Expert Level Question Example (Dark Mode) Hard Question Example (Light Mode) Easy Question Example (Dark Mode) Wrong Question Example (Light Mode) Quarantine Quiz App by Alexandra & Ari Stassinopoulos Welcome to the Quarantine Quiz App! Our app is a fun place to learn accurate information about COVID-19, infectious diseases and recent medical history. To play, pick a difficulty level, press start and let the game begin. Why is the Quarantine Quiz App important? Despite the dangers COVID-19 poses to everyone, information is being used not to create solidarity, but as a weapon. Quarantine is hard. It's lonely. And it's difficult to isolate yourself if half of the internet is calling the pandemic a hoax. There's nothing more infuriating than having your glasses fog up from your mask or your hands sweat under your gloves only to walk past a large group of people who are (willfully) not social distancing. You can't force other people to social distance. And, as much as you would like to, you cannot pull that stranger's mask over their nose where it belongs. What you can do is stay informed. Our quiz bank contains questions that range in difficulty from easy to expert and even the most knowledgeable player will walk away more informed than before. Our Question Difficulty Easy — Is COVID-19 confusing? Not sure if your information is accurate? These easy questions are for you. This level will help you learn basic information and then some about the pandemic. Hard — Think you know all there is to know about COVID-19? This is your level. Let's find out how well you've been keeping up with the news these past few months. Expert — Graduated college with Bachelors of Science? Did your Ph. D. in Chemistry? These questions are for you...rumor has it that some have even stumped doctors! Information Sources In an effort to make our questions and answers as accurate as possible, we have fact-checked the information we use in our app. These measures include confirming our information through reliable Public Health or news institutions such as the CDC, New York Times, or New England Journal of Medicine. Additionally, our questions have been read and approved by an infectious disease doctor with 20+ years of experience and a chemist currently working in the forefront of developing COVID testing. HOWEVER the pandemic is rapidly progressing and scientists are making new discoveries every day. So, if you find information that is inaccurate or outdated, please let us know and we will update our question bank as soon as possible. Very important disclaimer: we are not doctors; do NOT treat our app as medical advice! If this app is your only source of medical information, you deserve whatever happens to you. Built With excel pandas python swift Try it out github.com
The Quarantine Quiz
Welcome to the Quarantine Quiz App! Our app is a fun place to learn accurate information about COVID-19, infectious diseases and recent medical history.
['Ari Stassinopoulos', 'Alexandra Stassinopoulos']
[]
['excel', 'pandas', 'python', 'swift']
40
10,267
https://devpost.com/software/ourscioly-space
Inspiration We love Science Olympiad and we've been a part of it since middle school. But, things get messy. Emails, emails, and more emails. Too many sites with information. Google drives, so many resources. Meeting information. So many events. What it does So we wanted to make one site specifically for our school where we would post everything. All recent updates, upcoming events, resources, contact info, links to useful sites, etc. How we built it We used html, css, and javascript. For the data visualization, we used the D3.js library. Challenges we ran into We were all beginners, and we weren't that familiar with making full fledge websites, so we had to do a lot of research and figure out how to make everything come together. We were new to the D3.js library, so there was a multitude of trial-and-error involved in trying to make graphs. Accomplishments that we're proud of With the help of google and a lot of videos on youtube, we were able to make a website with some basic functionality and links to different pages. Additionally, we're proud of the classified data visualization for viewing scores - by event subject and visualizing the best results. What we learned We learned so much over this process, not only through the basics of HTML, CSS, and Javascript, but also working with a time-limit through the hackathon. We made button functionality and have one page link to another page, which demonstrates our knowledge of visualizing data through structures like charts in an interactive way. What's next for OurScioly.space We want to make everything completely work in the end. We want to use this in the upcoming year for Science Olympiad. Then we would continually update the site and have all the club members use this. If/when we pull this off, it would be extremely helpful for everyone. We might even add a calendar functionality and more. Built With css html javascript Try it out github.com
OurScioly.space
We love Science Olympiad but sometimes things get messy. Emails, emails, emails. Different websites. Google drives. Presentations. So this is our way of keeping everything organized in one place.
['krits29 s', 'conanlu Lu']
[]
['css', 'html', 'javascript']
41
10,267
https://devpost.com/software/sherwood-stock-sharing-app
Inspiration As an avid day trader, I spend a lot of time on Stock Trading Forums and Live Streams. Every day, in these groups, fellow traders will post about stocks that they are watching or about to invest in. However, due to an oversaturation of information, it can be difficult for traders to go through all of this information. What it does I realized that it would be significantly more convenient if these stock recommendations and watchlists were compiled in one place. This is accomplished in our app, Sherwood. Our app allows users to add up to five stocks on their profile. Afterward, other users can scroll through these profiles and add some of these stocks to their own profile. All of this information is stored in a database for each user. The app will also show the top 5 trending stocks for each day, based on how popular a certain stock is among users. How I built it We used android studio version 4.0 to create our application. Firebase was used to create registration and login page. We hope to use Yahoo Finance API in the future development of our app to display real-time information on individuals stocks. Challenges I ran into We ran into challenges in connecting the Firebase Cloud Database. This took a significant amount of time because it was our first time using the platform. We were also unable to finish our chat and live stock information feature. Accomplishments that I'm proud of We are proud of our log in system because we spent a lot of time on it. We also are super proud of how our UI looks. We really like our design and are excited to finishing implementing the features of our app so that we can release it on the Google Play Store. What I learned We gained a lot of new experience in applying OOP concepts to mobile app development. It was very rewarding to create this app in android studio, and we are glad that this hackathon encouraged us to learn more about creating Android apps. What's next for Sherwood Stock Sharing App Well, we definitely need to finish implementing our features. We plan on working hard these next two weeks in finishing it. Once we finish, we hope to publish our app on the Google Play Store. Built With android-studio java Try it out github.com
Sherwood Stock Sharing App
This app makes it easier for day traders to find stocks and etfs that are trending on the stock market. Our app will allow users to post stocks that they are following and share them with others!
['Abhi Vinnakota', 'Hari Kumarakrishnan']
[]
['android-studio', 'java']
42
10,267
https://devpost.com/software/covid-19-priority-queue
Inspiration Queues are unorganized and people are dying because of it. What it does Sorts patients by priority based on their symptoms, age, previous conditions. How I built it HTML, CSS, JS Challenges I ran into No previous knowledge of web development Tried E-mail bot and failed to connect script Could not create a database Could not show results Were not able to film demo video in time since it was never completed What I learned Stress management How to create e-mail bots What's next for COVID-19 Priority Queue Implementing database in order to sort patients. So far only form and priority generator script are complete. With more time we could've had much better results. Try it out github.com
COVID-19 Priority Queue
A system hospitals can implement in order to control the inflow of patients to decrease exposure of patients while they wait for medical attention. It is an electronic queue based on priority..
['Mapt04 Apt']
[]
[]
43
10,267
https://devpost.com/software/covidstation
Inspiration During quarantine, we were struck with the inspiration of creating a dynamic, interesting and easy-to-understand method for people to practice the necessary safety measures to prevent COVID-19. To accomplish this, we decided to create an AR application that blends with your home to bring you the latest updates and tips to keep you and your family safe. What it does The CovidStation project has two different stages: the Home Kit and the Countries Section. By downloading the CovidStation Home Kit from our webpage, you can count on a multitude of tools to help you fight COVID-19. For example, by pasting the sanitizer sticker onto your home sanitizer bottle, you can easily scan the sticker using EchoAR to get a reminder of how to use the sanitizer best. On the Countries Section, you can download a picture of the flags of the countries you want to keep a tab on. Then, by scanning the flag with EchoAR, you can obtain an up-to-date analysis of the number of cases, deaths and recoveries caused by COVID-19 according to WorldMeter. What's next for CovidStation While this first prototype has many areas of opportunity, we hope to one day be able to work side-by-side with EchoAR to make an easy-to-access app for scanning our stickers. Built With bootstrap css echoar html5 Try it out rveavwxtgvrpigzczrq69a-on.drv.tw github.com
HomeARKit
A kit for obtaining reminders of tips and an up-to-date analysis on the most recent statistics from COVID-19.
['Martin Dieck', 'Alejandro Daniel Gonzalez Carrillo']
[]
['bootstrap', 'css', 'echoar', 'html5']
44
10,267
https://devpost.com/software/mindtrack
Landing Page Login Screen Mindtrack Keep your mind on track! What is Mindtrack Mindtrack is a project organization platform designed to set you up for success! Mindtrack accomplishes this by walking the user through the SMART goals processes, ensuring that all the goals set are broken up into smaller more manageable pieces Inspiration Ever had a large project or goal you needed to achieve, but didn't know where to start? We ran into this situation a lot during, for example, events like hackathons! We noticed that we tend to be more successful in accomplishing the goal if we plan out the project before we start. However, when we "plan out" the project it usually involves sending large text walls to each other and tends to become more unorganized overtime. We created this app to solve these issues as well as create more clear and focused steps How we built it The project is a prerendered, JAMStack-ready single-page application built with Vue and NuxtJS. On the frontend we used, Nuxt.js on top Vue.js to create a SPA web app. We used buefy/bulma to create the user interfaces which communicate with an API. Frontend Repo On the backend, we created the API through express.js and stored the data in a MongoDB Atlas instance. Sessions are handled through JWT Backend Repo Accomplishments that we're proud of We created a fully working SPA web app with :) Signups & Logins are fully up and running and we finished a lot of what we wanted to do with Mindtrack, (Dashboard, Editor) What we learned We learned about creating apps with Nuxt.js as this was the first time we really used the framework! What's next for MindTrack We want to add more advanced features to Mindtrack such as things like media uploads, categories as well as live editing through WebSockets. We also really want to nail in more features on the goal creation side. For example, making the goal making process more in-depth/aligned with the SMART goals system Feedback and Suggestions are appreciated!! Built With buefy bulma css express.js html javascript jwt mongodb node.js nuxt typescript vue vue-router vuex Try it out github.com github.com
MindTrack
Keep your mind on track.
['Raghav Misra', 'Lehuy Hoang']
[]
['buefy', 'bulma', 'css', 'express.js', 'html', 'javascript', 'jwt', 'mongodb', 'node.js', 'nuxt', 'typescript', 'vue', 'vue-router', 'vuex']
45
10,267
https://devpost.com/software/h-to-o
Welcome to H to O! The Shopping List Page, allows you to choose the items you need so that the app can show you the store with those items in stock. The tips page gives you a variety of tips on saving water and some facts. The Maps Page, showing you stores around you. Landing Page: Home Inspiration In all times of crisis such as floods, natural disasters and pandemics like the one we are experiencing now, essential supplies are in large demand. In such a time it is very important for people to be able to get access to these supplies. We wanted to build an app that allowed people to quickly and efficiently find the stores which had the supplies they needed, basing the ideas off issues we all personally felt during these troubling times. What it does H to O is a comprehensive app, which allows people to find the essential supplies closest to them. When you open the app you are greeted with an interactive map that shows you nearby stores that carry the supplies you need. You can see the inventory by clicking on the store's icon and clicking the popup with the inventory automatically shows the directions to the store. The Shopping List page allows you to add the items you require and when you click to confirm, it efficiently runs through every nearby store's inventory and finds the closest one that meets your demand and shows you their location on the map. Finally, a Tips page educates users on the water crisis, raises awareness, and directs them to resources where they can learn more about it! How we built it We built H to O using Flutter , a relatively new SDK backed by Google that harnesses Dart . We chose to stick with Google for the database as well, opting with Cloud Firestore to house each store's inventory. We used the Google Maps API for the map which provided us with the tools necessary to make a very appealing map that any user can navigate around and understand. Using an API like Google Maps which is still in Developer Preview was an interesting experience. Challenges we ran into Storing data in Firestore and then populating it as markers on the map was challenging. Getting the type of item the user wanted and then animating to maps page and showing the store was also challenging. Reading data from and writing data to the database was quite challenging as we had to keep track of each document and make sure we were pulling from the right parent. This was only our second time using Flutter to make an app, so we ran into many syntax related issues due to us being relatively new to it. Furthermore, the Maps API for Flutter is still in active development and we were running into many issues that the development community was unable to solve as well. Accomplishments that we're proud of Given our short history with Flutter Development and little to none with Firestore and the Maps API, we are very proud of what we were able to accomplish in such a short period of time. From the get-go, we were organized and approached the intimidating task with an optimistic mindset that helped us persevere through bugs and issues that seemed almost impossible to solve. NotUniversityHacks has provided us with an amazing opportunity to learn and develop our skills, and we had a blast talking and connecting with like-minded individuals in the Discord server! What we learned This was a very rewarding experience for us as we used technologies we were not very familiar with. Everything we did teach us a little more about what we were using and how we can apply it in the future. We used the Google Maps API for our project which we were completely new to and had to learn how to use it as we went along. Using Google Maps API for the first time taught us a lot about using maps, formatting of markers, populating data on the maps from an external database. Moreover, Cloud Firestore means that in the future we have a reliable database to store information, and now we know how to read and write to the database. What's next for H to O As a concept, we kept H to O limited in the number of items the user is able to search, and the locations nearby. The database is fully capable of expansion, so in the future, we plan to expand this data to include more stores around the world. We hope that we will be able to help those in need of essential goods during times of crisis and be successful in our mission to spread awareness. We also hope that local business owners will see this app as an opportunity to boost sales and keep essential items in stock for the betterment of the local community. We can't wait to see where H to O goes! Our Submission for the domain.com Prize: We built a landing page for our Flutter app: http://h2go.tech/ . Hopefully you'll be able to visit the site, the DNS rerouting was tricky. The pictures of the landing page are in the gallery. Built With android cross-platform dart firebase firestore flutter google-cloud google-maps ios Try it out github.com
H to O
An efficient cross-platform app that allows you to request essential supplies and quickly find out which nearby stores have it in stock!
['Ashish Selvaraj', 'Philip Choi', 'Mashrur Chowdhury']
[]
['android', 'cross-platform', 'dart', 'firebase', 'firestore', 'flutter', 'google-cloud', 'google-maps', 'ios']
46
10,267
https://devpost.com/software/litera
📝 Usage You can try out Litera at litera.cf . Make your own account or just use ours: Username : rgbhack Password : rgbhack 💡 Inspiration We wanted to address the general lack of visual-based learning tools in our textbook education system. 🚀 What it does Litera displays an object in augmented reality and the user (probably a young child) has to type out what the object is. 🛠 How we built it We developed Litera in TypeScript using Node.js . The augmented reality is handled by EchoAR . Custom 3D models were created in Tinkercad and then exported as GLB files for EchoAR . 🧪 Challenges we ran into 3D models weren't being rendered 3D models had no color Responsiveness & Mobile compatibility Git merge conflicts 🏅 Accomplishments that we're proud of This was our team's first augmented reality project and we think it went really well. We see the value of augmented reality and hope to do more AR projects in the future. 🧠 What we learned We learned a lot about AR and 3D modeling. Additionally we learned how to use Node.js and Typescript. 🎓 What's next for Litera Redo frontend with React to use the virtual DOM Add more objects/words Make a Litera mobile app Dynamic model adding Note: two of our members were not able to record their part of the voice over for the video due to audio issues, so we just had the other two members take over for them. Built With echoar express.js javascript node.js typescript Try it out litera.cf github.com
Litera
📖 An AR app to aid young visual learners in vocabulary and spelling.
['Raadwan Masum', 'Aadit Gupta', 'Safin Singh', 'Rohan Juneja']
['echoAR business plan']
['echoar', 'express.js', 'javascript', 'node.js', 'typescript']
47
10,267
https://devpost.com/software/covid-19-v3tydf
Everything is found in the documentation: https://docs.google.com/document/d/1PTxzlAtlnqfPPiZl34LC8W5pLfNNtzWdku9ql4VlvfM/edit?usp=sharing Today, there is no vaccine for COVID-19, so is there any way to make some decisions and understand the risks posed by a pandemic? Planning for the future as well as anticipating some of the challenges is important to use resources wisely and efficiently. In order to do so, computer modeling with machine learning can make educated predictions based on current data. Moreover, in this project we examine the relationship between tests and positive cases. This specific analysis enables us to make justified decisions on the importance of investing more resources toward testing. Built With excel jupyter-notebook ml python sheets Try it out github.com docs.google.com
COVID-19 ML Training Model
https://docs.google.com/presentation/d/1UFwml0gpLTeqaAULpz7gvuOJVK49lMfPjbBvbnqxKdY/edit?usp=sharing
['vivekanand k']
[]
['excel', 'jupyter-notebook', 'ml', 'python', 'sheets']
48
10,267
https://devpost.com/software/tetris-2z1m7b
Inspiration Tetris is a classic game fun for multiple generations. I thought that it would be fun to make it myself so I could learn about breaking down a project.. What it does The user can play Tetris from the command prompt with arrow keys. How I built it I used python and Tkinter to implement Tetris. Challenges I ran into I first tried to make an app in Swift. I ended up finishing it (it's a 2-tabbed app that's essentially a random text generator), but I felt that I could push myself to do more. So I changed projects halfway through the hackathon. I had to do some debugging and read up on the Tkinter documentation. This was especially necessary for moving blocks and clearing rows. Clearing rows proved to be especially tricky because I had to keep track of the block IDs as well as their coordinates (which are unfortunately separate in Tkinter). Accomplishments that I'm proud of In school I have done some projects, but they already had the functions outlined and students just had to fill in the code. Given that this is my first Hackathon and that I changed projects, I think I did well. What I learned I learned how to start a project on my own, decipher the necessary functions and implement them from start to finish. What's next for Tetris A scoreboard and more visual effects such as a highlighted area where the shape will drop! Built With python tkinter Try it out github.com
Tetris
Bored in Quarantine? Indulge in some enrapture nostalgia with Tetris!
['Kathleen Chiu']
[]
['python', 'tkinter']
49
10,267
https://devpost.com/software/coronaguard
Logo Cloud Firestore Inspiration Our given prompt for our project was to create something that either helps to fight COVID-19, or to make the lives of people in quarantine easier. As lockdowns begin to be lifted, our goal is to help people to stay safe while also enjoying their community What it does CoronaGuard uses bluetooth and location to notify users if they are too close to a user that has stated themselves as infected or symptomatic. CoronaGuard also helps you visualize the location of nearby users on a map, which allows you to see if there are many people in a certain location (ie. grocery store) that may have declared themselves to be symptomatic or otherwise. The locations of our users are not their exact location, but merely a self-reported estimate of where they have been, as to not breach their privacy. When the user clicks the button, they can make their location at that moment seen. For example, if a person who has reported themselves as symptomatic goes to get groceries, they can notify their neighbourhood that they were there recently if they were to change their status to diagnosed. How I built it We built the app by using flutter as the frontend and firebase for the backend. The main screen uses the google maps API to display a map on the screen and show general locations of users who have updated their status as either infected or symptomatic. The app gets this information from each user profile when the user logs into the app and updates firebase with that information. Challenges we ran into Not having Flutter setup on every computer. (installation errors) Minimal firebase experience from some of our team members Connecting Flutter with Firebase for the Android app data to connect to the real-time database Accomplishments that I'm proud of Learning and utilizing the Google Cloud Suite of Services Creating a functional app with an aesthetic UI and Google login feature What I learned Flutter and Dart: All 4 of our team members were completely new to flutter and Dart. Firebase: We were also new to firebase cloud firestore and Firebase authentication. Google Maps API: Showing google maps on a screen in our Flutter app and adding custom markers. Git/Github: 3 out of 4 of our team members were new to Git version control. What's next for CoronaGuard The main next step for our app would be to add bluetooth compatibility for push notifications. Our goal was to detect other devices in your vicinity, and send a push notification if a person with a “symptomatic” or “diagnosed” status is nearby. We found the process for connecting notifications with the backend to be quite difficult as there were several details to Firebase Cloud Messaging to send notifications to a particular device based on changes in the database. In our demo, we currently have sample locations of users on the front-end. Based on the detection of nearby bluetooth devices, areas where there are high concentrations of “symptomatic” or “diagnosed” people would have red circles on the map, and show the user areas not to go. Built With cloud-messaging) dart firebase-(authentication firestore flutter google location maps Try it out github.com
CoronaGuard
This app detects nearby devices and notifies you if a person nearby has a status of “symptomatic” or “diagnosed”. These devices will be shown on a map to help you stay away from these areas.
['Haashim Rehan', 'Akshay Khale', 'Ethan Abraham', 'Muhammad Muizz Zafar']
[]
['cloud-messaging)', 'dart', 'firebase-(authentication', 'firestore', 'flutter', 'google', 'location', 'maps']
50
10,267
https://devpost.com/software/defhack
Home Page Details Other information Portfolios Team Members Contact Facemask detection (with mask) Facemask detection (without mask) Inspiration Due to the global pandemic, the situation of the world is getting worse day by day. So we decided to take the challenge and provide the world with a solution to reduce and control the situation. What it does We created a face mask detection web application that uses the webcam of your device and detects the face is with or without the mask. How we built it We built it using Machine Learning, where we trained a model with a dataset and we put it on the HTML code then we used it to build the web application. Challenges we ran into It was a tough job to be done because firstly training the model with the perfect datasets was difficult, then accessing the webcam of the device was a tough job. Accomplishments that we're proud of We are proud that we have successfully completed the face mask detection system and the application. What we learned We learned to train new models and work with different frameworks. What's next for Defhack We look for participating in such kind of hackathons arranged by Defhack. hi Built With css html5 javascript machine-learning mysql php python Try it out ynawz7z9v2glufjpy9nuxw-on.drv.tw
FMD (Post-COVID)
The more we code, The less people get Covid affected
['Tirthadeep Basak', 'Arijit Saha Ray', 'Nilavro Seal', 'Ritam Dey', 'soumya0208 Bhattacharjee']
[]
['css', 'html5', 'javascript', 'machine-learning', 'mysql', 'php', 'python']
51
10,267
https://devpost.com/software/antyvyrus
AntyVyrus Logo (from UNICEF) AntyVyrus Web Searching Logo (from FORBES) AntyVyrus Home Page AntyVyrus's mission is to make crucial information more accessible in times like this. People around the world shouldn't have to worry about searching around for the latest data. AntyVyrus makes this easier because they can access all the data in one place. It is also very fast and easy to use, with sliding menus improving the UI. As shown in the video, this project uses a web scraping tool called ParseHub to search the web for the latest COVID-19 data. Once a user asks for a country, it responds with deaths and cases. Not to mention, it is super fast. This project was built using a web framework called Flask. Using python, we built a web scraper. It takes an API token from ParseHub and returns a JSON file with all the cases. Then, our program iterates through it to find the data that the user wants. Some challenges we ran into, were using the API token to return valid data. However, using some libraries, like requests and JSON, we are able to return the data. We also had trouble, because the data was taking a long time to return. But, after debugging, we optimized it so that the user doesn't have to wait once they ask for a certain country. We are proud because this is our first hackathon. This is also our first time making web app project. We are proud that we were able to create a full web app with web scrapping abilities within 36 hours. It has been a great experience since we learned so much about web design and web scrapping. None of us had ever created a web app or created a web scraper before this event. Hopefully, we can add more features in the future to AntyVyrus. One feature that would improve the UI, would be voice recognition. This way the user doesn't have to scroll through the list of countries, and can just ask the program instead. All in all, this has been a great experience and we have learned a lot throughout the process. Built With flask html parsehub python Try it out github.com
AntyVyrus
A Flask project using web scraping to show users updated cases and deaths from any country around the world.
['Maahir Sachdev']
[]
['flask', 'html', 'parsehub', 'python']
52
10,267
https://devpost.com/software/insidevoice-g6n2lr
Video Call Screen Inspiration Whenever I did a Zoom call with family, it always kept getting increasingly louder and it was impossible to talk to just one person. Thus sparked this idea that would solve this problem and make it more like a virtual social gathering rather than a video call. What it does The purpose of InsideVoice is to allow users to communicate with each other efficiently on an online platform. Users can control the volume of others to make the others voices as low or high as they want. Even though InsideVoice can hold only two users at a time currently, our goal is to involve a much larger number of users in one video call. How I built it We built InsideVoice by following various tutorials related to React and Socket.io. To build the platform, we used React and Socket.io. The purpose of React was to develop the webpage with functionalities, while the Socket.io was used to allow the chatting feature. Along with that, we used both HTML and CSS. The CSS was used to style the website. Specifically, the background, fonts, and border outlines. Challenges I ran into We ran into several challenges. This includes allowing more than 2 users in a call at the same time and allowing users to set up their usernames for the calls. Our biggest issue was finding a working base to work off from regarding a conference call website, this took most of our time and caused a lot of issues for us. Secondly, as we used Socket.io, we faced difficulty in changing the Id names to the users names. Accomplishments that I'm proud of We are proud to have created this video-calling platform to make group calls more efficient. As we are beginners, we became team mates who help each other to overcome our shortcomings so that we can all become better programmers. What I learned We learned how to use Socket.io and further developed our skills in React. We also learned to manage our time better and cooperate to reach our common goal. What's next for InsideVoice We plan on making InsideVoice more user-friendly and get InsideVoice to its full functionality. We think it is a great idea that should be finished. Moreoever, we would like to update the CSS styling of the platform. We want to build in the functionality of allowing higher numbers of users in one call, and also want to find a way to allow each user to create a username rather than being assigned a randomly generated ID. Built With css html react socket.io Try it out github.com
InsideVoice
A video calling platform that allows users to control the volumes of others.
['Aditi Parekh', 'Noah Sapire', 'Verah Torres']
[]
['css', 'html', 'react', 'socket.io']
53
10,267
https://devpost.com/software/schedulebuilder
ScheduleBuilder Making schedules for high school students (one of counselor's job) The Corona Virus introduced many problems to the world. One of them includes how schools must make new schedules that abide with social distancing. As a team, we learned how to use GitHub better and solve problems and fix errors cooperatively. We built this program using Eclipse. The main challenge was that the code was too complex for our level. The time didn't allow us to evaluate the errors properly. As beginner programmers, we did not have experience making websites, databases, nor applications. However with this program, teachers and students are able to fill out their desired courses and courses they are teaching and link it with the program for it to distribute classes. An interesting feature include adding a minimum and a maximum amount students allowed in one class. Built With java Try it out github.com
ScheduleBuilder
Making schedules for high school students (one of counselor's job)
['Hanson Lau', 'AndyFromAllState Ly', 'JKHackathon Kim']
[]
['java']
54
10,267
https://devpost.com/software/fchores
Inspiration There is always an argument between family members related to home chores. And due to COVID, many households were facing such problems. So we decided to come up with a solution that is fair and works for everyone. What it does Here you can assign chores to the family without any problem or confusion or argument and check who all completed their work. Further, you can enjoy games and try to beat each other's high score while listening to an amazing playlist How I built it We used to bootstrap along with custom css to design our website. Then the javascript part was coded to enable user input. We were not able to link out java algorithm to the website so we coded the entire algorithm in JS. Challenges I ran into No more than 2 members of our team knew the same coding language yet we were able to create a partially finished product. Even though we were not able to link it we created the database and backend of the website. But due some errors we had to shift the entire code to JS and we still made it work Accomplishments that I'm proud of We were a diverse group facing participating in the competition for the first time and yet we pulled through with sheer willpower and determination. What I learned A team with diverse knowledge can still put together a project if they will it. What's next for FCHORES In the near future, this product can host separate logins for each family member. This will enable multiplayer gaming with their loved ones that are far away. We even aim to embed a video call so that you can make the best of your time together. To further personalize the experience we even plan to make the chores entered randomize on their own every morning and then send notifications to every member. In the near future members can choose to request if they want to exchange their tasks with some other family member. Further, a timestamp for when the chore was complete can also be incorporated. But we are not limited to just households. Our code can also be reformated to ensure no worker gets night duty multiple times a week. Or office work is efficiently assigned. Built With bootstrap css3 html5 javscript Try it out aadityayadav.github.io
FCHORES
Create a family friendly product that is of use to every diverse member of the house. The services range from entertainment to providing an outlet to keep the house in order.
['Tara Garg', 'Aaditya Yadav', 'William Xu']
[]
['bootstrap', 'css3', 'html5', 'javscript']
55
10,267
https://devpost.com/software/def-hacks-mcxzhb
<<<<<<< HEAD This project was bootstrapped with Create React App . Available Scripts In the project directory, you can run: npm start Runs the app in the development mode. Open http://localhost:3000 to view it in the browser. The page will reload if you make edits. You will also see any lint errors in the console. npm test Launches the test runner in the interactive watch mode. See the section about running tests for more information. npm run build Builds the app for production to the build folder. It correctly bundles React in production mode and optimizes the build for the best performance. The build is minified and the filenames include the hashes. Your app is ready to be deployed! See the section about deployment for more information. npm run eject Note: this is a one-way operation. Once you eject , you can’t go back! If you aren’t satisfied with the build tool and configuration choices, you can eject at any time. This command will remove the single build dependency from your project. Instead, it will copy all the configuration files and the transitive dependencies (webpack, Babel, ESLint, etc) right into your project so you have full control over them. All of the commands except eject will still work, but they will point to the copied scripts so you can tweak them. At this point you’re on your own. You don’t have to ever use eject . The curated feature set is suitable for small and middle deployments, and you shouldn’t feel obligated to use this feature. However we understand that this tool wouldn’t be useful if you couldn’t customize it when you are ready for it. Learn More You can learn more in the Create React App documentation . To learn React, check out the React documentation . Code Splitting This section has moved here: https://facebook.github.io/create-react-app/docs/code-splitting Analyzing the Bundle Size This section has moved here: https://facebook.github.io/create-react-app/docs/analyzing-the-bundle-size Making a Progressive Web App This section has moved here: https://facebook.github.io/create-react-app/docs/making-a-progressive-web-app Advanced Configuration This section has moved here: https://facebook.github.io/create-react-app/docs/advanced-configuration Deployment This section has moved here: https://facebook.github.io/create-react-app/docs/deployment npm run build fails to minify This section has moved here: https://facebook.github.io/create-react-app/docs/troubleshooting#npm-run-build-fails-to-minify Def-Hacks Def Hacks 2020 project! 7694d1f0c5f3e73b87602ae0c6fd4c278204a43b Built With css html javascript Try it out github.com
Def-Hacks
Def Hacks 2020 project
['Danny Chen', 'Angel Li', 'Aryan Kalia', 'Ethan Wang', 'Esha Maheshwari']
[]
['css', 'html', 'javascript']
56
10,267
https://devpost.com/software/covid-19-izgb5h
This MATLAB app has a simple user interface to take two piece of information, what the user wants to graph and for what country. The app then goes through large data sets to create a line graph with the required data. There are many COVID-19 tracking websites online, but this is different to those because it tracks how the outbreak started and how it developed. The purpose of this app is to be used to compare different countries to one another to see how they handled the corona virus pandemic and to use this information to find correlations and causations to other events. The next step will be to connect news articles from similar time periods to see how precautionary methods were implemented to prevent the spread of the virus. Also, a graph of the stock market such as the S&P 500 alongside to the outbreak in the relevant country could be useful to see how COVID-19 affected different things. Overall, the app is designed to show the outbreak of COVID-19 in a simple manner to connect to other events that occurred worldwide to see how this pandemic affected the world. This hackathon was a fun experience and I learned how to use MATLAB app developer to create a UI which was simple and elegant to provide the user with the data they are looking for. It was tough to import the data and format in a way easy to manipulate, but with practice and the help of forums/people online I was able to overcome the challenge and create a working app. Built With excel matlab Try it out github.com
COVID-19 Outbreak Tracking
Covid outbreak graphed for different nations since January 22, 2020 to compare how the pandemic affected other events such as stock market changes.
['Harsh Hemlani']
[]
['excel', 'matlab']
57
10,267
https://devpost.com/software/scam-prevention-ai
Inspiration Many donation sites popped up due to COVID-19 and Black Lives Matter, but it is difficult to tell which ones are scams and which ones are real. What it does The model takes the inputted description text and classifies it as fake or real based on the training data. How we built it We used Google Cloud AutoML Natural Language to take in a dataset of GoFundMes (and similar donation sites) and to create a model based on that. Challenges we ran into There is no existing dataset of fake and real GoFundMes and donation sites, so we had to create it ourselves. Also, we've never done ML before, so it was a huge learning experience. There was a lack of documentation. Accomplishments that we're proud of We are proud that we were able to create a dataset and use ML to train the model properly. What we learned We learned how to use ML since we've never worked with it before. What's next for Scam Prevention AI We want to train the model on a larger dataset so that its accuracy is even higher. Thank you, Rachael and Vivek Built With automl flask google-app-engine google-cloud json python Try it out github.com
GoFundMe Busters
Artificial Intelligence that detects scam donation sites based on their description text
['Rachael H', 'Vivek Sreenivasan']
[]
['automl', 'flask', 'google-app-engine', 'google-cloud', 'json', 'python']
58
10,267
https://devpost.com/software/quarantine-corner
About us Our names are Preesha, Annie, Mabel, Rona, and Katarina, and we’re all grade 12 students from the Greater Toronto Area. In the fall we will begin our studies at the University of Waterloo with a major in computer science. Inspiration Quarantine life impacts millions around the world today. Although many desire to stay productive during this time, many end up drifting through the abyss of the internet. We decided to make a google chrome extension that makes life in quarantine significantly easier by being your one-stop-shop to the date and time, your to-do list, COVID-19 updates, and ideas for keeping busy during quarantine. How we built it The extension is written in html, css, and javascript while utilizing node.js to extract covid data in real time. We chose to create an extension over creating a website because an extension is so much more convenient. Instead of having to visit several web pages, the user can conveniently access all the information they need simply by opening a new window or tab! Challenges we faced Our team consisted of 5 grade 12 students who had very basic knowledge in java. While making this application, we had to learn html, css, javascript, node.js and how to make a google chrome extension in 24 hours. There was definitely a learning curve but by working together we were able to solve our problems. How to install To install the extension, simply upload the folder on chrome’s extensions page using developer mode by clicking the “Load Unpacked” button. Built With css html javascript node.js Try it out github.com
Quarantine Corner
Quarantine Corner helps you plan your days so that you can maximize efficiency and use this extra time to learn something new while staying up to date on the latest Covid-19 stats for your province.
['Rona Fang', 'Preesha Ruparelia', 'Mabel Kwok', 'Katarina Makivic', 'Annie Sun']
[]
['css', 'html', 'javascript', 'node.js']
59
10,267
https://devpost.com/software/blmcontact
Users select their district on the interactive map and then they will be directed to the following page There is information about the representatives and senators. Users click a link to get an auto-generated email with the addresses pre-filled Inspiration A revolution is occurring across the nation and virtually on social media: the Black Lives Matter movement. Due to the pandemic, many people are hesitant to go outside to protest, but that should not stop them from protesting. We wanted to contribute more to the cause, so we decided to make a platform for people to easily get involved and have access to a range of information. Our two main focuses is to end qualified police immunity in the country and to get universities to pay more attention to racism on campus . As incoming college students, this is especially important to us, and it is upsetting to hear the stories of so many students finally voicing the hardships that they have faced. We want to put an end to this, and the best way we felt to make this happen is through web development. What it does Our website is an easy to use platform for users to send emails to New Jersey Senators/Representatives, and to colleges expressing their desire for change . Users can hover over their respective district and click it to receive information about their representative and senators and click a link that will auto-fill an email expressing interest in ending qualified immunity. The email addresses are pre-filled so users do not need to worry about looking for this information. We did the research, so it is a convenient way for them to express interest in seconds. Our second part addresses ways to reach out to colleges and schools to end racism in schools. We have provided links to various resources including petitions to get colleges to match donations, donation links, interest forms, and other means of support to these organizations fighting against racism in these campuses. And unfortunately, a lot of schools are not taking much action, so we decided to make a pre-filled email generator for this part too, expressing interest in what the school is doing to combat this issue, and how we can get involved. It shows schools that we as students are interested in what they are doing, but also helps students help cultivable a better learning environment. How we built it We used HTML, javascript, and css to build out interactive site. We collaborated through visual studio. Challenges we ran into We really wanted to incorporate the google-maps-api for javascript and other apis to make it more feasible for users to enter their location and get their senators/representatives. We wanted to use the AddressToRepresentative feature that the api offered but we were having trouble with interpreting the java script and the backend components involved with ruby and jekyll . We plan to expand this site in the future and put in on a domain, and will implement these features for a more user friendly experience. Accomplishments that we're proud of We used the map tag for the first time in html and it was a cool feature that we implemented successfully. We also were able to style the site to be user-friendly in the time that we had. We also spent a lot of time with APIs this weekend, specifically the google maps APIs . Although we were not able to implement all of the feature from it in the time being, we spent time reading about other backend features like jekyll and ruby installer and this was new to us. We came out with a strong understanding of web development and using github, but also how to move forward with our idea. We want to implement APIs into this site to make it more user friendly, but also take advantage of other features such as the AddressToRepresentative feature that makes it more easier for users to type in their address to get required information. What we learned We learned a lot about backend development this weekend. We were not able to incorporate every feature that we would have liked due to the troubleshooting costing a lot of time, but in the end, we understand how to leverage the apis that google has to offer and implement them more effectively. For example, we understand the use of jekyll to make this process effective and this was new to us at the beginning of the competition. What's next for blmContact We would like to use the AddressToRepresentative feature in the google-map-API javascript and use that to make an effective way for users to get information in one step. We also want to style the website better and then put it on a domain to get people we know involved! Built With bootstrap css github html5 javascript visual-studio Try it out github.com
blmContact
An interactive platform for users to get pre-filled emails to automatically send to senators and representatives to end qualified police immunity, and to send to universities to fight racism on campus
['Nandita Kathiresan', 'Manasi Soman']
[]
['bootstrap', 'css', 'github', 'html5', 'javascript', 'visual-studio']
60
10,267
https://devpost.com/software/my-quaranmini
Inspiration For many, these have been turbulent times. In light of this, we chose to create a light-hearted iOS app that would support healthy lifestyle choices. What it does Successfully launches an app in an iOS iPhone simulator. In the app, the User is encouraged and enabled to press a heart button to express love for their virtual pet. There's also a menu of items at the bottom of the screen that represent the various healthy activities that the User could engage in to support themselves and their pet. How I built it After thorough studying of the Flutter beginner/first application tutorials, we created our own Flutter app using their base, and altered the main.dart file and others. Challenges I ran into Initially the scope of the project was too large, and it was difficult for us to properly address all of our intended measures because of our relative lack of experience with the relevant technologies (i.e. echoAR, iOS development in general). This, in combination with compatibility issues on some of our software installations, resulted in a project of significantly smaller size. Accomplishments that I'm proud of We were able to brainstorm and develop an entire User Story for the app that we intended to make, and conceptually, we feel that it was a success. What I learned It was interesting to get exposed to iOS development tools such as Xcode and Flutter, and to try and experiment with technologies such as Unity, echoAR, and Firebase. What's next for My QuaranMini There are many features that could be implemented to have our prototype more fully approach our desired product; these include actually inserting a virtual pet avatar, progress bars, a character customization screen, incorporating augmented reality and user data into the app processes. Built With dart flutter Try it out github.com
My QuaranMini
An app meant to promote mental health in times of quarantine with a cute virtual pet.
['May Li', 'Olivia Xu']
[]
['dart', 'flutter']
61
10,267
https://devpost.com/software/hand-detection-using-opencv-and-mlpack-in-c
Inspiration We drew inspiration for this project while we were searching for an interesting topic and we all expressed interest in computer vision and artificial intelligence and stumbled upon a similar project and thought it would be interesting to give it a try our selves, despite having no prior knowledge in any of these areas. What it does The program starts by identifying the users hands and then it will identify the shape of the hand How we built it We looked at many guides and different ideas and methods that could be used to accomplish the same task before settling on what we were going to do. We used opencv to first identify the hand and get the main points of the hand, from there we used mlpack to run the points through a knn function to sort the current position of the hand into one of the possible configurations. Challenges we ran into The first challenge we ran into was a lack of C++ knowledge as some of our members were not very familiar with the language, this caused a lot of confusion and slowed us down considerably. The next problem we ran into was a difficulty installing libraries to Visual Studio. For example we tried to use the Shark library before the mlpack library but we could not get it to work. Accomplishments that we are proud of We are proud that we were able to learn so much from this event, especially the opencv and mlpack libraries that we learned. What we learned We learned a lot about c++ in general as some of us were not very well versed in the language. We also learned considerable amounts of opencv as we had to do much more advanced operations than we had previously experienced. Finally we learned a lot about machine learning and how the different algorithms work. What's next for Finger Detection and Tracking using opencv and mlpack in C++ The next step for our project would be to identify sign language. Built With c++ mlpack opencv visual-studio windows Try it out github.com
Finger Detection and Tracking using opencv and mlpack in C++
A combination of opencv and mlpack that is able to detect and track fingers and hands that would make it possible to determine how many fingers you are holding up or even help translate sign language.
['KN AH', 'Lance Ellis']
[]
['c++', 'mlpack', 'opencv', 'visual-studio', 'windows']
62
10,267
https://devpost.com/software/sociiz-pd3kyn
website interface google maps api Inspiration It is said that those who have stronger social connections not only are mentally and physically healthier, but might also have an advantage to living a longer life. However, during times like these where social distancing has become the new norm, people of all ages are struggling to find balance between taking care of their mental and physical health. Our goal here at sociiz is to help facilitate socialization in a manner that is both safe and fulfilling. What it does Sociiz is a web application that allows users to observe the density of people at any location at any given time. This type of information is vital as users are able to gauge how safe a location is to visit based on how many people are currently there. When visiting a new area, users will indicate when they get there, what time they leave, and the number of people in their party, if applicable. For the case where a certain location has not yet been listed, users will also have the opportunity to input that location. This promotes greater user interaction and rapid growth of the application. There are individual pages for each location, containing information regarding the operating hours, the number of people present, reviews, as well as descriptions. An exclusive feature available to all users of Sociiz is the innovative local-text component, which sends a text message to individuals within the geographical area when it exceeds a predetermined “safe” population number. Users can then choose to remain or to depart at their own discretion. How I built it The interactive map that is featured prominently on our website was designed through the use of the Google Maps API. This allowed for the seamless integration of geographic data into our backend code, greatly enhancing the user experience. Our data input page was developed using the Flask Python package, which allows for the use of Python functions and code in HTML files. The data collected from this page is then organized for greater ease of access with the use of the numpy python package and is moved to a database for further use. The graphs were developed with the ChartJS library. Information saved to the database included time, obtained using the python time package, user information and population values, allowing for easy interpretation by users. The graphs also all have the option to remove specific data sets, allowing for future expansion in the form of a greater series of potential data sets, like age for instance. We also managed to include SMS capabilities into our project. Using the numpy package, we are able to track sharp increases in population at our various locations. Substantial increases are noted, and a message will be sent to all users currently at or on the way to one of these locations. Twilio was used to develop this aspect of the project. The pages on this site were all developed from scratch using HTML. Great care was taken to ensure the pages were both visually appealing while also being functional in nature. Users can find a wealth of information on potential meeting sites and are greeted with helpful reviews left by other site users. Challenges I ran into Though it may not be apparent on the surface level, there were challenges associated with almost all aspects of this project. Some of the most notable ones were incorporating real-time data, learning how to use the Google Maps API, working with flask and having python functions operating on a javascript web base. Accomplishments that I'm proud of Throughout the process of creating this project, each and every single one of us gained substantial knowledge in various coding languages, and were even able to implement some of what was taught in the Machine Learning seminar. More specifically, we were inspired to use the numpy python package in order to organize the data collected from the data input page. One of our proudest accomplishments includes the ability for our application to reflect real-time data, which was considerably difficult to execute. Most of all, we were able to make decisions quickly and effectively when attempting to solve any issues that arose. What I learned Beyond the technical elements related to creating sociiz, what was truly imperative to producing the final product was the teamwork our members displayed throughout these past two days. Individually, there is no doubt that the skills are there, however without the exceptional synergy of our team, it is without a doubt that we would have been able to succeed. We also learned that it is possible to create solutions to relevant issues using the emerging technologies of today. What's next for sociiz Sociiz is currently in its infant stages, however it undoubtedly has the potential for unprecedented growth and significant impact. Expansion towards a mobile app is one of our next goals, in order to be even more accessible towards users. Using Sociiz could then be as easy as simply linking location data from a user’s phone to the app, which can update information without ever needing the user to lift a finger. Built With css flask google-maps html javascript numpy pandas python twilio Try it out github.com
sociiz
An easy way to facilitate social distancing, while still having fun!
['Ryan Tsang', 'Rocky Wang', 'Fion Zheng', 'Celine Chung', 'Nathan Kim']
[]
['css', 'flask', 'google-maps', 'html', 'javascript', 'numpy', 'pandas', 'python', 'twilio']
63
10,267
https://devpost.com/software/defhacks2020-c7wz4q
LineTracker Home Page LineTracker is a crowd-sourced web map that aims to reduce the amount of time consumers wait in line during the pandemic. Many businesses employ social distancing lines to minimize the density of people in the store, but these lines often cause long queue times. If users are notified of estimated wait time and line sizes, they can make better decisions of where to shop. It is especially important that we minimize the time spent outside the home, as families want to stay away from public places. On the other hand, we have witnessed firsthand the grim effects the pandemic has had on small businesses. We believe this product will help these businesses get back on their feet as they will often not have lines, compared to larger businesses. Thus, it serves as a marketing tool for these smaller businesses. Our app uses the Yelp business search API to get a list of all relevant businesses within your area and displays it on an interactive map. On the left side, there is a search button, a radius slider, and a location finder. The search button allows you to search for businesses. The radius slider limits your search from 1km to 40km. And the location finder centers the search around your location. This was by no means an easy task. Our group of four invested our entire weekend into learning MongoDB, PHP, and HTML/CSS, using Python as our integrated language. We used many different APIs including IP API and Yelp API, which were quite difficult to implement. One of the most difficult things was coordinating our work through Git’s version control system. We were used to working alone on Git but having four members all committing code was quite difficult to manage and resolve merge conflicts. At the end of the day, we are proud of our final product and we believe there is room for further improvement and automation. We learned how to communicate our ideas clearly and concisely. There are many hardships of working remotely in a team. For instance, answering someone is more difficult than answering someone in person. We helped mitigate this by sharing our screens. Whenever one of us had an issue, we would share our screens to the other group members so they could see and answer our problem. One notable challenge we faced was the fact that we were completing a five man project with a four man team. One of our group members dropped out after we delegated roles to each member, increasing the burden upon each remaining member. To overcome this, we stayed up later than usual. Another difficulty was our spotty Internet connection - something out of our control. Built With css html ip javascript mongodb python yelp Try it out github.com
LineTracker
LineTracker facilitates the decision-making process consumers make when deciding where to shop. It reduces the amount of time spent idling in line, while also bringing attention to smaller businesses.
['Kevin Hu', 'Brian Hu', 'Jason Tao', 'Stephen Luu']
[]
['css', 'html', 'ip', 'javascript', 'mongodb', 'python', 'yelp']
64
10,267
https://devpost.com/software/remote-machine-repair-assistance
Inspiration During these sensitive times, we need to maintain social distancing. However, there are times when we cannot do that, For example, An important machine breaks down in a hospital, the engineer who will come down to solve the problem and hence will be extremely vulnerable due to the hospital environment. Hence we aimed to build a solution where an engineer can remotely help even less skilled people in fixing that machine by providing AR based remote instructions step by step. What it does It provides an AR-based annotations lobby where two people can connect.One can point their camera to the region of the problem and the other can remotely guide them how to solve it without actually being there.They can guide them by means of 3D models,drawings and steps. How I built it Built it on UNITY3d for the game environment and Photon/Agora.io for network. Challenges I ran into It was a challenge to implement and integrate screensharing. We found a workaround but we aim to optimize this Accomplishments that I'm proud of Providing jitter proof AR experience What I learned A lot about how lobbies work and how video camera feed can be fiddled around with What's next for Remote Machine Repair Assistance Optimization and more tools. Built With agora arfoundation blender c# photon unity vuforia Try it out drive.google.com
AR Remote Assistance
A augmented reality based app that allows remote assistance and guidance using interactive models
['Vaibhav Suri', 'Ashit Mehta']
[]
['agora', 'arfoundation', 'blender', 'c#', 'photon', 'unity', 'vuforia']
65
10,267
https://devpost.com/software/interactive-covid-simulation
Inspiration My team realized a really important demographic that might be left out when it comes to knowledge about Covid-19—and that is children. So we wanted to create an interactive simulation to educate them on this virus. What it does Users can play the game and see how Covid-19 transmits and how to prevent it by placing people in isolation and using hand sanitizer. How I built it My team and I used various methods and classes to put this together. Challenges I ran into Figuring out how to work toward an ambitious timeline and prioritizing our tasks. Accomplishments that I'm proud of Pushing out our prototype What I learned How fun a hackathon is What's next for Interactive Covid Simulation More interactive components so our audience can have a better understanding of Covid-19 Built With java Try it out github.com
Interactive Covid Simulation
We have created an interactive simulation that teaches people how Covid-19 spreads, how to lower transmission, death rate etc.
['ROSA LI', 'Eren Cim']
[]
['java']
66
10,267
https://devpost.com/software/illuminate-ay3qrt
Illuminate The creators behind Illuminate understand the daily struggle of keeping motivated and active during quarantine. This web app aims to uplift its users with light humour as well as provide an opportunity to track their progress in learning new skills while challenging friends to do the same. Inspiration Due to COVID-19 and strict social distancing measures, we were inspired to create a website that keep users motivated with daily challenges and self improvement. What’s next for Illuminate? There were many more functionalities that the creators wanted to implement, however, were not able to due to lack of experience in those areas, as well as shortness of time. Our wish is for Illuminate to continue to grow as a web app as it’s creators improve on their skill. Some next steps for Illuminate would be for user having the ability to connect with with their friends and sharing their current progress in their skills as well as challenging their friends in activities. Built With bootstrap css html mysql php Try it out github.com
Illuminate
Illuminate is a website that can brighten up your day with daily jokes and challenges.
['Sydnie Chau', 'Molly Xu', 'Kitty Li', 'Cecilia Qiu']
[]
['bootstrap', 'css', 'html', 'mysql', 'php']
67
10,267
https://devpost.com/software/caretaker-simulator-2020
Main App Icon App main title background mascot Inspiration After being isolated for months, we have all had our shared experiences with family members struggling in one way or another from the affects of the current world. We thought and worried about those directly affected by the pandemic by having to take care of their sick family. Some people like us worry what if our grandparents or family get Covid. This app helps us to practice, remember, and keep up to date with best practices not only for us but for them. So that if the time comes we are ready. What it does This application guides our users through the delicate nature of nurturing our beloved family members through this unprecedented time. By using accurate simulations with nostalgic inspirations we combined a household classic with a now modern reality. You can put your selves in the shoes of the totally possible and with a little humor get the basics and important practices when it comes to taking care of your family member during the pandemic. How We built it We used flutter in combination with android studio to build it. Challenges We ran into We had to study and learn mobile development and the flutter framework. Accomplishments that We are proud of Learning how to make a mobile game within the time constraints of a hackathon. Learning how to develop using Flutter with no prior experience. What We learned flutter, android development, mobile game concepts What's next for Caretaker Simulator 2020 Adding smoother animations, and adding a scheduler function so that it can also be used as a gamified scheduler for helping take care of those in our lives who may be at risk. we also plan to expand the feature set and add other intractables to further the interactivity of our Covagotchis. Built With android-studio dart flutter kotlin Try it out github.com
CoviGotchi
A simple mobile game that demonstrates proper practices for taking care of friends and family who may be at risk due to Covid19.
['Ivan Zabrodin', 'Dustin Smith', 'Sammie~ ♫']
[]
['android-studio', 'dart', 'flutter', 'kotlin']
68
10,267
https://devpost.com/software/statify-game-stat-discord-bot
Apex Legends Stats CS:GO Game Stats Fortnite Game Stats Hypixel Game Stats League of Legends Stats Warzone Stats Inspiration We found that there were no practical and easy to use tools to get stats for several games. Each game had its own individual website or Discord bot to find your stats, so we felt like it would be very useful to combine a multitude of games into one place. What it does After inviting the bot to your server, typing the ".s" command followed by the game and username will make the bot send back a bunch of useful information about the user. How we built it Built using Node.js and Visual Studio Code. What we learned Prior to this Hackathon, we were inexperienced with JavaScript and with using APIs. Using these in our project greatly improved our knowledge in these fields. What's next for Statify: Game Stat Discord Bot Ironing out bugs and adding more games! Link to add it to your Discord server: https://discord.com/oauth2/authorize?client_id=723412441475580065&scope=bot&permissions=265216 Built With discord.js javascript node.js request riotgames-apis steam-api trn-api Try it out github.com
Statify: Game Stat Discord Bot
Easy to use Discord bot to quickly access video game stats for Fortnite, CS:GO, Apex Legends, League of Legends, Hypixel, and Call of Duty: Warzone.
['Andrew Kulakovsky']
[]
['discord.js', 'javascript', 'node.js', 'request', 'riotgames-apis', 'steam-api', 'trn-api']
69
10,267
https://devpost.com/software/puqabi
It is a section for changing password. In this screen, you write you current password. It is a section changing name of account. It is a profile section which have some account informations. It is a Splash Screen with special up and down animation. It is a wheel that rotating. It is a chat with us. It is a registration page. It is wheel graph that has 2 button: rotate and submit buttons. It is a login page. This is a settings section. In this section, users can contact with us and change their infos. It is a section about our payment and balance info. It is a section for changing email. For this purpose, you must write your password. It is a first part of Settings section. It is a chat with us. It is a time when wheel is stopped and your task determined by wheel. Inspiration As we know, many people in our world need money and many people cannot earn money because they are disabled. If we express them in numbers, 6.4 billion people in the world are poor and 1 billion are disabled. Given that about 70% of this population owns a smartphone, these people can make money using only one hand and one eye. I think we are all human and no one wants humanity to go hungry. Yes, it can be questionable for you,but today technology make it possible for entrepreneurs for changing world to positive. We have passion for changing the world. Because we do not want to other youth lives like us. We live in Azerbaijan and in this country, there wide gap between private and public high schools. In details, I can say in Azerbaijan only private high school students have a chance to attending competitions. We are attending this competition, because we want to change our community. We want to be idol for young entrepreneurs in our country. For this purposes, we want to solve first problem of us which about poverty. In Azerbaijan, most of the youth can not go to schools due to economy of family. We will change it! We think that everybody must have chance for going to schools and attending competition. If you want to give chance to this young children in poorest zones, only support us. Let's change the world thanks to the PuQaBi application. What it does Most of the people think that why app developers pay amount to users. We make special system for using new world faculties for benefiting poor people. You know that in other app users watch ad and app developer gain money from this ads. But we want to make an app that make money for both of them. For this purposes, we make special app advertising system. In this system, user rotate wheel and get task from the wheel. Then, users submit the task to us, and we control with the help of the image. When we approve that user do task correctly, he or she gain 0.05 USD. He make first rotate without watching the ad, but he or she watching ad for every new rotate chance for graph. I want to mention this situation with store, imagine that there is Karim and he is disabled. He want to earn money, because of this purpose he find our app and starting doing our task. He everyday publishes about us in Facebook, Instagram and Youtube. With this method, he make 50.00 USD for two days. We also gain money for companies which want to advertise their app or product in our app. When companies want to advertise their product in our app, we give task about this companies. For example, user always share about our companies which give us money for making this task about them and advertise them. We think that this system is very excellent! Because we can gain money, also making life of poor people easier. How we built it In this section, I want to speaking about technical aspects of our application. Although we have not got good computers, we want to advance our mobile app. Firstly, I want to speaking about design of app. We use special UI/UX design and special animations for app. For example, we make splash screen with animation and this aspect make it astonishing for the users. Also, we use Firebase Database, Firebase Storage and Firebase Authentication. With this faculties, we can save user text, values, image and account info in our database. In our app additionally, has chat with workers from company. We make chat layout for this reason and it make our app complicated and comfortable for users. Also, there is special AI system which control payments system. Although it is a demo app for idea, I think that this app is ready for publishing in Play Store. We make this without sleeping. Going into deeper of this section, our app suitable for all of the android devices and it make app more comfortable for users. We want to show all of the our potential with our resources. Do not forget, we make everything from zero to hero. Challenges we ran into As we can see from the achievements we have mentioned, we have never been number one. Because we study in an ordinary poor village school. In competitions, students from strong universities and fee-paying schools are given more importance. So we have repeatedly failed to be number one due to the injustice of the judge. It should also be noted that our computers are very old and weak, so they turn off and we have to write the code or information that we wrote once. Despite these problems, we have always wanted to go to the United States and study there. That's why we were treated like naughty children in the village. But we never changed our minds. In 2019, while researching education in the United States on the Internet, we found a competition called Genius Olympiad and decided to join it. We went to the final round of that project and we were required to come to the United States. We needed $ 6,000 to go to the United States. When we told our parents, they said they could not afford it. No one can understand the tears flowing from our eyes at that moment :(. We thought and decided that somehow we should earn money and go to the United States. So we went to the city to look for investment and started working as a waiter in a cafe. During the day looking for investment and at night. We worked in a cafe. We had a month and we collected the money to go to the United States. Now, because we participated in this competition, our parents rebuke us not to sit behind an empty computer. We believe that you will appreciate our struggle with these difficulties. Accomplishments that I'm proud of Our team consist of two member who educate in poorest and rural schools, but we have many accomplishments about our skills. Because we always want to improve us and make us best for changing world and making world good place for us. Now, I want to speaking about our accomplishments: 3rd place in the Line follower category at the 1st Inter-School Robotics Olympiad. Participant in the 7th republican competition "Scientists of Tomorrow". 2nd place in the Line follower and Sumo categories at the 2nd Inter-School Robotics Olympiad. 3rd place in the 3rd acceleration competition of Barama Innovation and Entrepreneurship Center. Participant in the "Entrepreneurship Conference" organized by the Barama Innovation and Entrepreneurship Center. 7th place in the selection round of the 2nd World Robot Olympiad in Azerbaijan. 4th place in the 8th republican competition "Scientists of Tomorrow". 4th place at TechFest 2019. Participant in the selection round of the 3rd World Robot Olympiad in Azerbaijan. Finalist and 3rd place at the Genius Olympiad 2019 in the United States. Finalist in Hack the Northeast 2020. You see that although we live in poor country, we make everything greater and now we educate most of the young student about CS and entrepreneurship. We want to change their life, and write new history in our community! What we learned Thanks to this competition, we learned to achieve more in less time, to work together, to work as a team and to be friends. Because we had less time, we worked faster and more accurately, which taught us to focus on one thing and not focus on anything else. What's next for PuQaBi We have future plans for realizing this idea into real. Firstly,we will share it in the play store and App Store. We will create a website. As a result, the editors will understand that we are a serious company and will direct our application to more people.We will find festivals and present our project to as many people as we can at festivals. As we know, in order for users to earn money by watching ads, they have to perform random tasks on the wheel. There are certain tasks on the wheel to make people's application reach more people. For example; Share the application on your social media account and take a picture of the screen and send it to us, give the application 5 stars in the Play store, take a picture of the screen and send it to us, and finally send the application to 5 friends on whatsapp and take a picture and send it to us. Each of the 1,000 people from social media will bring 5 more people with them, which means that the people who download the application will bring 5 people with them to the station, so by this logic we will save more than 100 million people from poverty. All of this about marketing aspects of our idea, but I want to focus our force behind it. We want to realize this app, because most of the people in our town think that we crazy people and only dreaming about future. We wan to prove that we are not only dreamer, we are also maker and developers with this way we can educate more people. When we are successful in this app, we can open new club in our town and we make people from town believe that their sons or daughters can change the world. It is not dream, it is a product of hardworking. Built With ai android android-studio firebase Try it out github.com
PuQaBi
The application was created for freeing people from poverty. Thanks to the application, people can earn $ 48 in 8 hours without the need for any education.
['Huseyn Aliyev', 'Rasul Aliyev']
[]
['ai', 'android', 'android-studio', 'firebase']
70
10,267
https://devpost.com/software/flexclinic
Our Logo! Our Privacy Policy! Our NLP Data Set! Inspiration During the COVID-19 pandemic and quarantine, physical activity in the world has gone down. During these times of isolation, it’s important for everyone to stay physically active due to the benefits that it offers: ease of muscle strain, relief of mental tension, improves blood circulation, and improves overall well-being. According to PhysioPedia, a renowned physiotherapy website, physical activity during COVID-19 is extremely important as it reduces the risk of several chronic diseases, such as cardiovascular disease and diabetes. As passionate students with an interest in maintaining physical health and well-being, we sought to create an application that helps people stay physically active. We believe that our platform can help people stay active and stay healthy during these unprecedented times! What it does This mobile app aims to reduce the burden on the medical industry during the COVID pandemic. It does this by offering exercises one can do for aches and pains. We believe this is a helpful app because at home it’s easy to stay in bed all day and not stretch, so pains are expected. Our physiotherapy platform, FlexClinic, helps people stay active and healthy during this quarantine. We provide various exercises, stretches, and routines to keep people fit and relaxed. Our machine learning algorithm detects key points on the user’s body and guides the user through exercise sessions. How it does The app collects data (symptoms) from the user to detect which parts of the body are sorest. From this information, an ML model picks a class of exercises for the user to complete. Then it uses the camera to trace key points on the body for several exercises targeting the user's injuries, step-by-step. After a hardcoded number of reps, it takes the user to the next exercise. How we built it We identified the strengths within our team and divided the work amongst ourselves to develop FlexClinic. We used Java for our back-end and Android Studio for both our front-end and back-end. In addition, we used Fritz.ai, and the MonkeyLearn API to build the machine learning and artificial intelligence components of our application. Challenges we ran into Throughout the development of our product, our main challenge was changing our technology and software stack to suit our requirements. We initially started using React.js, Tensorflow.js, and Bootstrap but we realized that several components and features we wanted to include were incompatible. After brainstorming and researching more about different technologies, we decided to use Android Studio and Fritz.ai as they worked best to implement our plan. Also, navigating between pages on the front-end of the Android app was tricky. The back-end was also difficult because we have little experience using Java so coding classes in the realm of machine learning and computer vision involved a lot of debugging. Accomplishments that we're proud of Our team is composed of a variety of students: 2 high school students from the United States and 3 university students from Canada. We are most proud of the collaboration we’ve had and we developed interdisciplinary solutions because we had people from different backgrounds. What we learned Practically speaking, while we were brainstorming ideas, we noticed the massive amount of benefits derived from physical activity but were stunned by the dip in rates of physical activity during the times of COVID-19. After doing some research about how people can be guided to stay physically fit, we found that an AI/ML approach of physiotherapy. Technically speaking, we developed our skills with Android Studio, React.js, Java, and using various ML repositories. We also learned a lot about augmented reality by experimenting with AR/VR technology as well. What's next for FlexClinic In the future, we would like to add more exercises for users and spread awareness about staying physically active in these isolated times. In addition, we would like to add a hospital/patient rerouting feature to our application to reduce patient traffic. Another idea we have is a clinical outreach program, which allows users to connect with licensed therapists and seek medical advice. Built With android-studio artifical-intelligence fritz.ai java machine-learning monkeylearn-api Try it out github.com
FlexClinic
AI/ML Powered Application for Guided Digital Physiotherapy Exercises in Quarantine
['Suraj P', 'Hardit Singh', 'Noah Caleanu', 'Vishal Desh', 'Arash Rizvi']
[]
['android-studio', 'artifical-intelligence', 'fritz.ai', 'java', 'machine-learning', 'monkeylearn-api']
71
10,267
https://devpost.com/software/sleepappnea
SleepAPPnea is a program run and displayed from the terminal Inspiration More than 22 million Americans suffer from Obstructive Sleep Apnea (OSA), which is a condition that is most often treated by Continuous Positive Airway Pressure (CPAP) therapy. This CPAP therapy is typically facilitated by a compact CPAP machine used during sleep. Most patients who consistently use their CPAP machines experience better sleep, more alertness during the day, and a reduction in apnea events. However despite the incredible success and benefits of CPAP therapy, many users have poor adherence to CPAP usage guidelines. They may not use their CPAP for long enough each night or fail to clean it properly and frequently. One proposed way to encourage sleep apnea patients to develop good habits with their CPAP machines is through gamification, which is what this program aims to do. What it does The program works by rewarding users for completing CPAP usage requirements, such as cleaning machine components or wearing the CPAP mask for more than 4 hours in a night. When a user marks one of these tasks as completed, they are awarded a chance to play Treasure Hunt. How I built it I built SleepAppnea using Python on VS code. I started by building the treasure hunt game and then integrating it into a program for the more serious sleep apnea good habit tracker. Challenges I ran into I have never done a hackathon before and I don't think I quite had a good understanding of how little time I had/ how to use it most effectively. I really wanted to make a GUI for this and have a bunch more features but I quickly had to scale down my project. Accomplishments that I'm proud of This was my first solo project! I'm really proud of how it turned out given the time and experience I had. I am especially proud of my use of OOP in the Treasure Hunt game because OOP is something I have struggled to wrap my head around ever since I first learned it. What I learned Hackathons are CRAZY. I There are a lot of features I wanted to implement in this project, but I ran out of time. I even ran out of time to do some of the debugging haha. I'm really glad What's next for SleepAPPnea Where to start... after debugging and completing what I already have, I would like to learn how to better permanently store values like the number of games earned so that it doesn't reset every time the program is opened. I would also like to use matplotlib to implement some sleep analytics and maybe a mood tracker! There are a lot of possibilities! Eventually as I learn more, I would love to create a UI for this app Built With python Try it out github.com
SleepAPPnea
The real treasure is better sleep
['Claire Konz']
[]
['python']
72
10,267
https://devpost.com/software/lyricnet
Inspiration We really wanted to help artists to improve the process of creating lyrics for their songs, we wanted to give them more inspiration, and help them make our world more beautiful. In order to do that we decided to see what went on in the minds of the most successful music artists of our time, like Taylor Swift and Drake. We wanted to see what makes these people so unique and share it with everyone else. Of course, we couldn't pick at their brains and get them to write lyrics for us, so we decided to build an AI-powered web application to do that for us. What it does Auto-filling lyrics in the style of an artist given a few starting lyrics (artists include those that are pre-trained by us, and custom artists that can be trained on the spot using song lyrics pulled from the genius API) Answers questions in the style of a chosen artist given a question Generates a full set of lyrics based on a style of a specified artist How we built it We built the web application using React for the front-end and Flask for the back-end. We used Flask over Node.js since we were using Python for the machine learning part of the project, so having the same language compatibility made it easier for us to develop the project. To generate lyrics, we used a LSTM (Long Short-Term Memory) along wiht RNN (Recurring Neural Netrok) with Markov Chains and a rythming library. To auto-complete lyrics, a RNN was used to memorize sequences of characters from a specific song, which allowed for prediction of the next most probable character in a sequence. Since the sequences are specific to each artist, the lyrics are generated in a style of different groups and people. Finally, for the question-answering feature, we trained a BERT (Bidirectional Encoder Representations from Transformers) model to answer a question given by a user. Challenges we ran into The biggest challenge for us was utilizing the Google Cloud Platform (GCP). It was a new experience for all of us since we've never deployed anything using the tools provided by GCP. Furthermore, coordinating with others virtually is something we collectively found to be difficult. Since our group members have different skill sets, it was difficult for some to coordinate tasks and understand concepts. However, through using certain tools such as Github (issue board, version tracking), we were able to efficiently assign and complete tasks which resulted in a working, successful project. Accomplishments that we're proud of The biggest accomplishment for us was the successful completion of our project, and getting our platform running online. This milestone means that we have actually achieved our goal and gave people a new source of inspiration and a new tool for creating music and poetry, we did our contribution to the beauty of this world. On the technical side, the biggest achievement for our group was getting the React-based front-end to communicate with the Flask API, which recieved the model output and allowed the user to interact with the API in a friendly manner. It was satisfying to see the different parts of our system run smoothly and efficiently with minimal error. We are also proud to have come together on such short notice to create such fun and interesting project. It was amazing for us to see how quickly we were able to come up with ideas and use our different skill sets to develop an interesting, fun project in such a short period of time. What we learned We certainly learned quite a bit while building the project, especially when it came to professionally deploying projects. Using Google Cloud's platform was quite a daunting task as nobody in our group had deployed a project to the platform before. We learned how to use buckets for the front-end, compute engine for the Flask back-end and AI Platform for our machine learning needs. Additionally, we learned how to configure and use a custom domain (using domain.com) which will certainly help us individually in the future. What's next for LyricNet We plan to fine-tune the question-answering feature to provide more complex answers to the many questions that users may ask. We also want to fine-tune and add a lot to our other models to make our platform work even better! Built With css flask github google-cloud html natural-language-processing python react react-router Try it out www.lyricnet.tech github.com
LyricNet
Generate lyrics just like your favorite artists.
['ladanuzhna', 'Mahesh Natamai', 'Matvei Popov', 'Anish Govind', 'Harsh Topiwala']
[]
['css', 'flask', 'github', 'google-cloud', 'html', 'natural-language-processing', 'python', 'react', 'react-router']
73
10,267
https://devpost.com/software/smartbuy-i2fhve
home-page seller-sign-in buyer-signin buyer-homepage buyer-placeorder-1 buyer-placeorder-2 buyer-placeorder-3 seller-homepage seller-homepage-withmenu seller-product-details seller-product-bid Inspiration During the beginning of lockdown it was really hard to find paper towels, sanitizer or masks in one’s nearby departmental stores. Visiting different departmental stores in search of items was impossible due to the risk of the widespread of COVID-19. All the major suppliers of these items were distributed to major departmental stores which go out of stock very quickly. Moreover, over the quarantine period the instable source of income made it a little riskier to purchase expensive necessary products and finding coupons and deals online was another big task too. In the midst of these problems brought up the idea of ‘SmartBuy’. What it does SmartBuy helps/guarantees a way in which people can get necessary products that are running low in supply in the market. You might be wondering how does it do this? Well, once a buyer requests for a product SmartBuy requests the buyer to wait for certain time period and during this time period SmartBuy collects data other buyers the state who have requested for similar product. The frequency of the product state-wise is displayed to the seller. As the seller is getting a bulk order it is easier for the seller to contact manufacturer for bigger order, also due to it being a bulk order the seller would likely reduces the price of the item (helping buyers financially too); however, this data is showed thousands of sellers. Hence, there would be a bid price placed for item’s order (of a particular state) and which seller hast lowest bid before the waiting time period would get the order. Once successfully bidding the lowest price, SmartBuy notifies the details of item and seller to the buyer. It also sends the list of the buyers with their corresponding address to the seller. It is then the seller’s responsibility to send the items to the buyers. How we built it We built this web application using Angular for the front end of the web application with Python used for the backend. Moreover, we attempted to use MongoDB for storing all the details of the buyers, sellers and the items offered on SmartBuy. During the process we also realized having a UI/UX ready before programming would give us clarity on what do we exactly want to achieve and help us achieve our goal faster. Hence, to build the UI/UX we used AdobeXD. Challenges we ran into One of the major challenges we ran into was to find a way in which it would be easier for the seller to accept bulk order. Moreover, translating this in backend and structuring the data in a way which would be easier for the seller to view was one of the major challenges we ran into. We originally decided to use Angular.js but as it was our first working with it we ran into a lot of problems and settled to use Angular instead. Accomplishments that we're proud of The major accomplishment we’re proud of is how we were able to translate our knowledge we gained in our Data Structure class in real life and more importantly impacting the society in a positive manner. We feel very accomplished to be able to use Angular and Python for the first time to create a web application implementing a simple powerful idea that would help people in difficult times. What we learned We learned a lot about the importance of UI/UX design which brought a lot of clarity to us while we were translating our idea into reality. Moreover, working with Python and Angular together to create a web app for the first time helped us understand the entire lifecycle and how everything is structured in an efficient way. After this hackathon we can proudly say we are confident and comfortable working in the world of angular and python environment as opposed to before Hackathon. What's next for SmartBuy We think there are is always room for perfection and more complexities to the hack we made. We would be love to work on them after Def Hacks and explore different areas and horizons. We would take feedback from different people in order to improve my hack Built With adobe-xd angular.js mongodb python Try it out github.com shorturl.at
SmartBuy
Get the best price for best products
['Vedant Dulori', 'Neel Patel']
[]
['adobe-xd', 'angular.js', 'mongodb', 'python']
74
10,267
https://devpost.com/software/how-s-life
How’s life Have you ever wondered what would happen to you if you are isolating yourself, dealing with economic challenges along with decreased access to community and religious support, and other daily disruptions? This is exactly what billions of people around the world are going through right now. Scientists believe that suicide and anxiety rates will increase due to the pandemic. This app was originally going to be an app for students to test their knowledge and help reduce the summer slide in education (the loss of knowledge over summer). But after some iterations of the design process, we shifted the focus from education to mental health and ended up using some of the basic functionality we already had in the previous version of the app. This app focuses on the people who are isolating themselves due to the pandemic and teens in general since suicide rates are going up within the teen age-group. This app was made to guide them and help them through the rough times. With features such as meditation, allowing you to release anxiety and forget about it, as well as the depression quiz if you want to know if you are depressed (populated with questions from the National Suicide Hotline) which will give you suggestions on the user's current situation. This app is your companion; Whenever you need support the app can help you, by either suggesting you to talk to family members, or in extreme cases, calling the National Suicide Hotline or various other organizations. Throughout the project, we had multiple challenges and learning moments. First, there was the UI. It did not look professional or attractive and it took us a long time to fix. We did so by adding backgrounds and working on constraints as well as the buttons and their diameters. In the midst of our difficulties, we realized it was not just about the UI but also the meditation part of the app. When we would try and find the .mp3 from the raw file it would say the system was not resolved. The way we fixed it was by changing the song name from a capital letter to a lowercase. As we are beginners, this was our first time using Android Studios and using Google Vision Cloud. We learned the difference between relative layout and constraint layout as well as what the Manifest is and .xml vs .java and dependencies. We basically learned all the essentials on how to build an app with our previous knowledge of Java. In summary, this Hack-a-Thon was a great opportunity for us to bond with each other and to feed our passion for coding. Built With android-studio firebase google google-vision java json mlkit sdk sdk-29 xml Try it out 1drv.ms
How's life
An app dedicated to reducing the risks of depression during social isolation
['Rishabh Venkatesan', 'Aaryan Jain', 'Mohmmad Mendahawi']
[]
['android-studio', 'firebase', 'google', 'google-vision', 'java', 'json', 'mlkit', 'sdk', 'sdk-29', 'xml']
75
10,267
https://devpost.com/software/road-path-arranger
Inspiration I want to build a customized road with AR. What it does Add road within real life. I can add the model via the website I created, and then I can use my phone to project road model in real life. How I built it I created a website with Flask and echoAR. I create an Android mobile app with Unity and echoAR. Challenges I ran into Cannot initialize multiple items correctly. It is time-consuming for configuration set up. Accomplishments that I'm proud of Manage to make a basic demo. What I learned It is hard to work alone. AR is fun. What's next for Road Path Arranger Debug to make multiple items created successfully. Make UI better. Allow mobile to save the built road and save it into echoAR. Built With c# python unity Try it out github.com
Road Path Arranger
Arrange road to traffic simulation
['Alex Wang']
[]
['c#', 'python', 'unity']
76
10,267
https://devpost.com/software/uber-for-anything
Log-in Page Available Jobs Job Details Job Accepted Confirmation Completed Jobs User Profile Inspiration COVID-19 inspired us to find a solution to help the elderly do tasks and get help. From that we came up with ErrandHelper, an on-demand gig service like Instacart but for everything. Here you can request general help such as "I need my TV set up" all the way to "I need someone to drop off a package for me." Our solution not only brings jobs that many have lost but also helps those who need to do things such as drop a package off and can't because of underlying health conditions or other extenuating circumstances. What it does We'd like to describe this app as Uber, but for everything! The app has a log-in page where you create an account to either post a job or do a job. Suppose you are looking for a gig, you will find gigs based on your skill-set and region on the main page and can accept anytime. You can also post a gig such as "I need someone to drop a package off for me," post your ideal pay rate and a time of urgency of the job and people within a certain radius and matching skill-sets with high ratings will be notified of your posting. The app works instantaneously and works on a first-come-first-serve basis How we built it We used Flutter and VS Code to code our app. Challenges we ran into We had trouble integrating with Firebase as we were new to app development with a database. Accomplishments that we're proud of We are proud to have finished a basic working app that we can use to show the features and how it could be launched in the real world. We came into this project with almost zero knowledge of building apps with Flutter so this was an amazing learning experience What we learned How to use Flutter, how to work with people in various time zones!! (from USA to INDIA!) What's next for QuickErrand We think this could be launched into a startup and could have potential- we got this idea from people complaining how they needed to do something but were scared of catching something such as COVID-19. Built With dart flutter github vscode Try it out github.com
QuickErrand
Need help with something? Just Post and Someone Will Help!
['Vaibhav Prasanna', 'Varun Joshi', 'Saaket Poray']
[]
['dart', 'flutter', 'github', 'vscode']
77
10,267
https://devpost.com/software/anonymous-story
Home Page Stories View Page Story modal Write story modal Inspiration It's been a crazy year for the whole world and everyone needs to share their thoughts are higher than ever. When discussing controversial and sensitive ideas, some people tend to shy away from social media since it exposes their identity and some more unpopular idea might be get buried without much attention. That's why we build this platform to solve all of this. What it does How we built it Challenges we ran into Accomplishments that we're proud of What we learned What's next for Anonymous Story Built With cloud-function firestore google-cloud react serverless Try it out confesison-280206.ue.r.appspot.com
Anonymous Story
Share your thoughts without the social pressure
['Khoi Le', 'phan-minhhoang']
[]
['cloud-function', 'firestore', 'google-cloud', 'react', 'serverless']
78
10,267
https://devpost.com/software/food-review-scraper
Inspiration We have always struggled with making a decision when ordering food at a restaurant. This is why we created the Food Review Scraper. What it does The Food Review Scraper searched through restaurant reviews and finds the dishes that are most popular. How we built it It was made in python. We used BeautifulSoup and The Natural Language Toolkit to analyze user reviews and generate recommendations. Challenges we ran into Our biggest challenge was finding a website with easily accessible data to use. Accomplishments that we're proud of This was our first Hackathon and we are proud that we made it through the whole thing. What we learned We learned how to use the Natural Language Toolkit. What's next for Food Review Scraper We want to build on this project by adding in menu support for restaurants so that our recommendations are specific menu items Built With beautiful-soup nltk python Try it out github.com
Food Review Scraper
Our application scrapes reviews from the TripAdvisor website and finds which menu items were most popular among customers.
['Naqia Zaveri', 'Taher Calcuttawala', 'QasimAli0']
[]
['beautiful-soup', 'nltk', 'python']
79
10,267
https://devpost.com/software/star-script
The home screen of the application Inspiration We love Computer Science(Duh) and like most other developers we never realized our greatest gift. We might not realize but our vision plays a huge role in what we do. I can't imagine debugging a code where I could not spot a missing semi-colon with my eyes. Growing up we had pseudo-languages/games that engaged us in the core concepts of programming. We had turtle, scratch etc. But what about kids with visual impairments ? How are they going to experience the same joy that we do ? Will the text editor's cold mechanic text to speech voice and hours of debugging break their morale ? Are we missing out on Genius minds just because they don't have the tools to start learning at a young age? These are the questions we asked ourselves. With all this in mind we got the inspiration needed to create this project. What it does Star Script is a coding platform that is targeted towards kids with visual impairment but can be used by everyone. Start our windows application , press space bar to enter audio command release it to send it for processing, it's as simple as that. It deploys an audio command system that allows user to create blocks in the editor. All one needs to know is which block represents which function. To make the platform truly inclusive for people we have also used speech recognition in combination with NLP(Natural Language Processing) to make the platform a hands free experience for all. Not just that, the more it is used , the more it learns and the better experience you get. The user can navigate and code on the platform using voice commands like "start", "run", "undo", "clear", "repeat 5 times", "add", "plus", "loop 5 times", etc. With this platform you don't need to learn those boring old syntax, our program understands the 'context' of your speech, so go ahead just talk to it. The platform also includes documentation with text-to-speech enabled, thus anyone can understand the purpose of the various coding blocks. Navigating through pages is also made for our target audience so whenever you open a new screen you will get an audio prompt. How I built it We designed various screens in photoshop and then implemented them in Unity. We used wit.ai for NLP and voicerrs to convert the output of programs into audio. Challenges I ran into Training wit.ai took a long time with the variety of options that we give it became really important to train it a lot. Further saving audio and sending it to wit.ai was trickier than expected. Also, unity doesn't support mpeg or mp3 format so we have to search a lot for an api that gave 'wav' format text to speech result. Accomplishments that I'm proud of We created something that is going to help a lot of young minds and we are really proud of that. What I learned We learned using Wit.ai with Unity and a lot of Unity fundamentals. What's next for Star Script The future for Star Script is to become more inclusive. Currently the platform is compatible only with the English language. We plan on making the platform multilingual thus enabling us to become inclusive of people across the globe. Built With photoshop unity voicerrs wit.ai Try it out github.com drive.google.com
Star Script
A revolutionary program for introducing Computer Science to kids with vision impairments.
['Akash Jha', 'Abhijeet Swain']
[]
['photoshop', 'unity', 'voicerrs', 'wit.ai']
80
10,267
https://devpost.com/software/connectmed
Inspiration Corona Virus and the lack of people working in offices right now who are very busy. This eliminates the person to person interaction that takes time from secretaries and patients to schedule an appointment. What it does Online scheduler for patients and doctors that makes booking a doctor's appointment easier than ever. With our online scheduler patients can book an appointment with their doctor when they want, whenever they want to. Doctors can also set the times that they would like to see patients and see any symptoms that the patient may have so they can prepare beforehand what they may need to ask or what tests they may need to perform on the patient. How I built it We separate two groups: the front and the back to build this app. The frontend uses React, the backend uses Express and MongoDB. We built them separately and then deploy it on two different places and connect them with AJAX Challenges I ran into -Using firebase for deployment which we had never done before. -working in different languages and combining them together at the end -time restrictions-time zone differences -not a lot of sleep or no sleep for some Accomplishments that I'm proud of -finishing our project -working as a team -communicating well -having good efficiency with the different skills that we had -learning from each other about new things and how to do things in a different way What I learned -how to use new technologies. -changing files to different languages -how to work under pressure -how to split up assignments -working with new people -what a hackathon is like What's next for ConnectMed Built With css express.js html5 javascript mongodb mongoose node.js react Try it out defhacks2020-179fa.web.app
ConnectMed
Doctor's appointments made easy
['VIRAJ DOSHI', 'Yingqi Chen', 'Christian Lee', 'Pranav Swaminathan']
[]
['css', 'express.js', 'html5', 'javascript', 'mongodb', 'mongoose', 'node.js', 'react']
81
10,267
https://devpost.com/software/spellingtutor
Inspiration: My parents hate having to read spelling words to my brothers so they can practice for their spelling tests. It takes up their time and it's incredibly boring. I wanted to create this app to make their lives just a little bit easier. What it does: SpellingTutor goes through a list of words by reading them to the user. The user then enters what they think is the correct answer for each word in the list. At the end, the app shows them what fraction they got correct, what words they got correct, and what words they got incorrect. The user can create their own list of words, or there is a hardcoded list. How I built it: I used the Java programming language and Android Studios to create this app. Challenges I ran into: I have never used Android Studios before, and I have a basic knowledge of Java. It was hard to learn so much new information in such a short span of time, but it was so much fun! Accomplishments that I'm proud of: I am really proud that the app actually works! It was my first hackathon, so I wasn't sure that I would even be able to create a project (especially because I am coding by myself). I'm so glad I decided to work hard and try. What I learned: I learned a lot about the basics of Android Studio, and I learned a little more about Java. Also, the workshops were so informative and they were a lot of fun to listen to! I can't wait to start using ReactJS and I signed up for a machine learning course so I can learn even more. What's next for SpellingTutor: First of all, I would like to store spelling lists and allow for users to access previously created spelling lists. Secondly, I would love to add a second "mode" to the app. I currently have a test mode, but I would like to have a practice mode as well. This would tell the user what they got correct or incorrect in the moment, and it would continue to repeat the spelling words they got incorrect until all words were entered correctly. Thirdly, I want to allow users to make a note on a word with a tip or trick on how to remember the spelling. These notes would become visible in the practice mode if the user answers that word incorrectly twice in the same session. Finally, I would like to make the app more aesthetically pleasing. Built With android-studio java Try it out github.com
SpellingTutor
Practicing for a spelling test used to be a two person job... until now! SpellingTutor gives a spelling test to the user by speaking words in a list, and checking the user's answers for correctness.
['Elodie Wardle']
[]
['android-studio', 'java']
82
10,267
https://devpost.com/software/fight_against_covid
Inspiration Our inspiration for our website came from Apple and Microsoft. We wanted to mimic their performance that was developed onto their own website as well as the features that are embedded. Additionally, we created an app that will send notifications every 30 minutes. Our inspiration for our app came from the daily life routine of parents and teenagers as people are on their phones. With the download of an app, we remind people to wash their hands. What it does The website that we created provides information about the details of Covid-19. We wanted to inform readers who aren't taking this epidemic seriously and we found that using a website would be the best way to do it. The website includes a game feature that reflects today's society of social distancing. Additionally, we have added a facts page that goes more in detail about Covid-19. Our app shows examples as well as gives details about Covid-19. Our app helps provide knowledge of the current information of the virus as well as a notification system that informs you to wash you hands. How we built it The website was built using VSCODE. Both Atharva and I are comfortable using VSCODE as it has a useful feature of live-sharing. This is how we contributed together as we wrote the program together and collaborated using Face-time. The website was built using html, css, and Javascript. We implemented JavaScript for the interactive game. Additionally, we added html for the basis of the website and css for styling and making it visually appealing. For the app, we coded the app using Swift in Xcode. Challenges we ran into The challenges we ran into during the website was the interactive game. As we are beginners, we wanted to exceed our expectations and really challenge ourselves. We wanted to stand out and we implemented a game on our website. We took the knowledge that we have learned and worked around the challenges of the game. We had a tough time with the scoring factor of the game. Additionally, with our teamwork, we worked through the challenge of styling. We had a tough time fixing some mistakes, but we managed to create a website that is both attractive and useful to the public. For our app we had the challenge of repeating the notification of wash your hands every 30 minutes; however, we figured out the mistake and quickly finished our app project. Accomplishments that we're proud of The accomplishments that we are proud of is overall the game. With our knowledge, we are not too advanced in game development. Seeing others on Slack working hard inspired us to challenge ourselves and build an efficient game as well as a multi-form factor website. We are proud of the website that we have created over the course of this hackathon. Additionally, we are most proud of the app as it completely works on the notification intervals. We were struggling on that aspect, however, we figured out our mistakes and pulled through. What we learned Throughout the course of hackathon, we learned how animation brings clarity into the website and attract viewers. We found some cool features that we could add using Javascript as well as how to make the website very noteworthy. We also learned how to use CSS in a way that it makes the website more natural and lively. What's next for Fight_Against_Covid The next steps for Fight_Against_Covid is to add a login page. We want to establish a platform on this website and add more features onto the game that will attract more attention. Our goal as we created the website is to spread awareness and not to take Covid-19 as a joke. Our next steps will be to add features and make the website more user interactive as well as add design elements for attractiveness. Finally, we want to add more features to the app and add more attractiveness that will attract people toward the app. Built With css html javascript Try it out github.com charanvengatesh.github.io github.com
Fight Against Covid
The idea of the project is to show potential risks and alert people the dangers that is current with COVID-19.
['Charan Vengatesh', 'Atharva Gupta']
[]
['css', 'html', 'javascript']
83
10,267
https://devpost.com/software/covid-19-bed-availability-tracker
Home page Your application for a bed space in a hospital First Page Inspiration Inspired by the situation in Delhi, India, wherein people who get the report of "COVID-positive" are expected to visit a hospital, queue up for a chance to get a bed at the hospital. If they do not get a bed, they go to another hospital, queue up for hours, and hope for a bed there too. This movement of COVID-19 positive patients from hospital to hospital, queueing up is troublesome in two of many ways. Firstly, this movement increases the risk of spreading of the virus itself as these patients visit many different hospitals in the hope to get a bed, thereby infecting so many different places. Secondly, these patients do not get immediate care, and are forced to spend time waiting in queues. An added problem arises in beds being booked by people in power and those that can pay the highest for that bed. A news report featured a shocking amount asked by a COVID-19 patient of 1 lakh INR (£1061) per bed per night. During the current times of pandemic, corruption in healthcare must be condemned. Beds must be allotted based on case severity and not on the amount of money. What it does What if we could automate this system of "queueing-up" for a bed? What if we could have a system wherein COVID-19 positive patients would know exactly which hospital to go for a guaranteed bed , at the ease of their phone? Keeping this in mind, we created a mobile application that lets: 1) COVID-19 patients look at bed availability in hospitals nearby, 2) COVID-19 patients send one e-application (through the app) for a bed to hospitals within 10km radius, by filling in details (such as age, past illnesses, travel history etc.) and attaching COVID-19 positive report scan, 3) The Machine Learning algorithm predicts and ranks the severity of the case/e-application using these details per bed space, 4) Based on the results of the ML model, hospital officials can be suggested on who the bed should be allotted to instead of allowing officials to indulge in allotting the bed to the highest bidder (the one with most money) 5) A hospital then allots an available bed to the most critical case/application after which the case/application is marked as "Treated" on the database of applications, which would signal to other hospitals that this particular case has already been catered to 6) The person who has been allotted the bed, gets a notification and a set time to arrive at. In other words, we are creating a database of beds and the applications for those bed spaces, which are then ranked on the basis of severity using questions answered by the patient. The most severely ranked case gets a bed. This process brings about transparency and helps cater to those who need it most. It would aid in removing any corruption that exists in allotting bed spaces. How I built it Upon research, we figured out the exact process of a COVID 19 patient being tested positive, to the patient being allotted a bed. We then tried to imbibe this procedure in the form of an app, with all the questions that a patient would be asked by a doctor, in order to decide bed allotment. Challenges I ran into Oddly enough, downloading the twilio framework was a bit of an issue this time around. Building the JavaScript code for sending a message to the patient who has been allotted a bed. Accomplishments that I'm proud of Creating the app design, fixing most bugs of the JS code. What's next for COVID-19 Bed Tracker We are hoping to completely integrate the ML model with the app. Also, we hope to automate the notification being sent after a bed is allotted, as currently it requires a prompt to run the code which then triggers a notification. Built With adobe javascript machine-learning node.js python twilio Try it out github.com
COVID-19 Bed Tracker
Allowing hospital bed spaces to be allotted to those in need.
['Arun Venugopal', 'Arushi Madan']
[]
['adobe', 'javascript', 'machine-learning', 'node.js', 'python', 'twilio']
84
10,267
https://devpost.com/software/xpand-agmt79
Finished Website Browsing Page BEGINNING Home Page Final Home Page Logo Pitch Xpand is the soapbox for small businesses, the bond between communities, and the spotlight for an important movement. Don’t let that round-the-corner family hustle drown - especially not now. Inspiration The main inspiration for this project was seeing the impact that the current economic state had on small businesses. Due to COVID-19, the economic state of small businesses is dire, so they need the opportunity to make valuable, long-lasting connections within their community and increase their own brand awareness. Not only this, but many people who have skills in app development, web development, etc. find it hard to get in contact with small businesses who may need some help. It is to be discoverable on larger social media networks such as Instagram and Linkedin which makes it harder to compete with larger corporations, especially in saturated markets. Also, Xpand provides opportunities for community initiatives, such as youth councils or local events, to collaborate with small businesses. As members of youth councils ourselves, we know how meaningful these connections can be, for both parties. What it does Xpand connects small businesses with members of the local community through an online website. Businesses can input their information which will then be taken into our database, and posted onto our website instantaneously. Members of the community can then search for businesses based on location and easily contact these communities. How I built it Small businesses or anyone wanting to get help promoting their business/service will be able to fill out a simple registration form in which they will provide their city, business name, and other contact information. This data will be sent to our SQLite database, which will then be used to create a custom page for that business. Any new business will be able to register on our site. The pages of these businesses will then be accessible to youth groups, smaller organizations, or just anyone looking for local businesses to help. By choosing their city, they will be led to a page with all the registered small businesses in that area and will be able to contact them directly. This can be done by filling out the built-in email forum or calling the Challenges I ran into We’re all beginners in terms of web development and it was our first time designing websites from scratch. Therefore, we all had to learn HTML, CSS, and any other language that we needed to incorporate into the website through crash courses, tutorial videos, and learning from websites. We needed to understand each language’s syntax and implementation. Before this hackathon, most of us only had minimal experience in back-end development, therefore making this hackathon a whole new learning experience. Making a website from scratch was challenging because we had to write the code ourselves without using templates or sample code. A few of the challenges we ran into included formatting all the pages to look alike, linking all pages of our website together on the same project (also including attaching the database, emailing, and registration forms). A challenge that we are grateful for running into was learning how to use GitHub to collaborate on our website together. If we were not placed in an online workspace we probably would have never thought to use this beneficial tool. The most challenging part of our whole development process was implementing the SQL database to hold all the business registrants information which would then generate a new page for that business. We also struggled implementing flask which resulted in many issues such as our CSS styling not displaying on our HTML files, but after troubleshooting the issue, we were able to fix that problem. Accomplishments that I'm proud of Having a finished final created website in two days despite only being introduced to front-end and web development was a massive feat for us. We can all agree that learning and becoming comfortable with a new language in just two days is something to be proud of. Some of the achievements we accomplished were being able to set up an efficient, multi-page website that is easy for users to navigate, learning how to webhook, and create a functioning site. Though all of these achievements were practical skills learned to help us in the future with web development, the greatest and most valuable attainment was understanding that it is not too late to start coding and proving to ourselves that anyone can learn to code. What I learned This was our first Hackathon and thus a HUGE learning experience for us. Since the four of us are beginners with programming, most of our website is created from concepts learned during these past two days. We learned many new languages used for Web Development including HTML, CSS, Python, Flask, Javascript, and SQL. Not only did we have to learn the syntax, data structures, and implementation, but we also had to become competent in combining all the languages to enhance the features of our website. Additionally, the task of developing a collaborative technology project, given the circumstances of sharing files and integrating various features through an online setting posed an interesting challenge. Merging everyone’s ideas and formats to create one final synchronized project while working remotely. The biggest challenge we faced individually and as a team was getting solutions to many of our ideas. We all had grand ideas but were limited to what we could learn in 36 hours. If one idea didn’t work, it was necessary for us to change our approach to the problem to arrive at a solution that would best satisfy our goal. We did this by breaking our problems into smaller steps and how to approach challenges. What's next for Xpand As a team, we would like to continue to develop and “expand” Xpand. We would like to develop an algorithm that allows users to be able to select certain categories of interest so that the businesses can be more filtered towards them. Furthermore, we want to implement a “save” feature in which users will be able to save/bookmark certain businesses that interest them. Also, we would like to further emphasize the importance of two-way communication by having a chat function on the website for users to contact businesses directly. To further develop the idea of two-way communication, we would also want small businesses to be able to contact individuals on the website directly, if the business is looking to be a sponsor or looking for some form of marketing. Currently, small businesses enter information in the SQL database when they register, but we want to implement the option for businesses to edit their own profiles. Impact Currently, there is not any website that is able to connect small businesses with local customers. Introducing a website that is exclusive to smaller businesses, allows them to market in a network where there are no larger corporations. This would have a positive impact on small businesses, especially due to the fact that the state of the economy is very poor because of COVID-19. It is harder, at this time, to market and retains customers which is why this marketing stream is vital for the growth and survival of many businesses. The registration and access to all the features within this website are free for all small businesses. Furthermore, customers would now have a website in which they would be able to find local businesses and get into contact with them. Another example of the positive impact that this website would have is for youth groups and student-run organizations. It can be difficult for student-led organizations to contact businesses for sponsorships and to build relations. However, through the two-way communication, this website enables, customers and other groups would now be able to discover and contact local businesses which in turn increases the sales revenue and improves the brand awareness of the business. Creativity The idea of Xpand is unique because there is no other website like it. Starting a business with no means of promotion or ways to grow will usually take years with little success. Xpand targets a niche market of small business owners to connect with sponsors, organizations, and youth councils in one place. This is a unique target market that is unexploited by many individuals and an area where people really need help. Our website tries to target people who may still not be able to get jobs but want to volunteer in the community to gain experiences. It is welcoming to all people who want to help and a good way to get the community involved. Additionally, it also lets students and people of all ages ask questions, get answers, and gain relevant work experience regardless of their qualifications Effectiveness This website is very user-friendly and provides instructions??? The problem that we wanted to solve is the lack of ability for small businesses to create platforms and reach interested customers, and this website does exactly that! The program is able to run without any underlying issues and the approval for businesses. Reusability Xpand will be able to fill a niche in the market as there is a clear need for this website for small businesses. The implementation of Xpan is feasible as the basic prototype of the website Built With css flask html javascript python Try it out github.com
Xpand
Search Your Way to Success
['Guneet Bola', 'Udy Ding']
[]
['css', 'flask', 'html', 'javascript', 'python']
85
10,267
https://devpost.com/software/musicbox-c74ksa
Inspiration Music collaboration is a struggle for teams of creators during these times of working from home. As a team of creators ourselves, we saw a problem within the industry where we have no easy way to share our content seamlessly. What it does At the moment, we are working on creating a unified location for all team members to access their centralized database files. In the future, we plan on implementing a realtime collaborative space for the team to work with these files. How I built it We are using a React web application connected to a firebase database that allows users to make database calls on. Challenges I ran into We had a big challenge while learning the paradigm of how React works after we initially coded part of the frontend with standard HTML/CSS. Accomplishments that I'm proud of We are proud of the fact that we picked up React from not having any experience with it and being able to create an application from it in such a small time period. What I learned I learned a lot about React as well as much more about how the development process works from ideation, design, research, learn, then build. What's next for musicBox We plan in the future to implement real time collaboration functionality once we have a way to upload and interact with uploaded files on the webpage. Built With firebase javascript react react-boostrap Try it out github.com
musicBox
Your go to portal for bands and artists to store music project files and collaborate in realtime
['Aaron Cho', 'rteshima Teshima']
[]
['firebase', 'javascript', 'react', 'react-boostrap']
86
10,267
https://devpost.com/software/circle-19
Home Screen Circle Screen QR Code Scanning Screen Alert Settings Inspiration We all have our circles, friends we interact with on a daily basis, family members and other close ones. Common connections are bound to happen between different people. However it is close to impossible to track who all one has been in contact with. This application bridges this gap and allows me to check if someone in my circle has the chance of contracting the virus, in turn helping me determine when it is safe to interact with this person or it is time to quarantine. What it does The user can set his status to one of four options (Quarantining, Unaffected, Tested Positive, Showing Symptoms). If the user marks himself in Danger, subsequent COVID circle (Covicles) are updated to show where the risk of infection might arise from. Vice-versa, if someone else marks themselves as in "Danger", you get alerts and can make the decision to self-quarantine or get tested. In order to add someone to your interactive circle, all you need is to scan their QR code. How I built it In order to build the IOS application we used Swift and SwiftUI components. The back-end that performs User Login Authentication uses Firebase and the data of the user and the people in his server are stored in a database managed in Firestore, also a part of the Firebase back-end. Challenges I ran into The biggest challenge we ran into was not knowing how to write mobile applications for Swift. Another problem we faced was the continuous syncing of COVID circles to update status. Accomplishments that I'm proud of Coded an application using SWIFT without any prior knowledge Created an application that could potentially be used as a tool to fight one of the deadliest diseases faced by mankind. What's next for Covicle The next step for Covicle is testing the application with a large user base and see whether using such a tracker helps prevent the spread of the virus. Also certain bugs need to be fixed. Another major goal is to expand this to android applications and web-app in order to tend to a wider user base. Built With firebase firestore swift Try it out github.com
Covicle
Covicle is novel way of keeping track of which interactions are safe for you during the times of covid-19. You can add people you recently met into your covicle (COVID circle) and mark your status.
['Shubham Bhokare', 'Shantanu Thube']
[]
['firebase', 'firestore', 'swift']
87
10,267
https://devpost.com/software/coronavirus-vs-game
Inspiration We were inspired by the current coronavirus pandemic going and decided to make a fun game that a cell fighting against coronavirus. What it does One player controls the cell and another player controls the virus. They fight against each others in a 1000x1000 square to see who can finish the other first. They have an attack and a pull they can use against each other. The health is displayed on the top left of the screen. How we built it We built it using Java on repl.it and Eclipse Challenges we ran into We initially couldn't get the boundaries working but we found a way to code it. We also initially, couldn't get the ranges of the attacks correct but we also figured it out. Accomplishments that we're proud of We are proud of building our first game and learning new ways to solve problem along the way What we learned We learned how to work collaborative and how to implement JFrame in a real program. We also practiced our logic using the if statements What's next for Coronavirus VS game We are going add more obstacles and add more abilities Built With awt graphics java jframe swing util Try it out github.com
Coronavirus VS game
A cell faces off against coronavirus
['Vikranth Nara', 'Harshit Pottipati']
[]
['awt', 'graphics', 'java', 'jframe', 'swing', 'util']
88
10,267
https://devpost.com/software/mednet-12ryge
A diagram representing the flow of data within the MedNet system The landing page Creating a stethoscope request The request finder An example of a SMS request A portion of the Twilio flow that executes during an SMS conversation A portion of the sample CSD document used to query for departments and contacts in the demo The OpenHIM mediator transaction page Login Info for Judges Email: tyler@tylerl.in Password: mednet Inspiration We made MedNet to address two major issues in modern healthcare: a lack of interoperability (transfer of data between disparate health systems) and a lack of physical equipment for workers. Because different hospitals use different electronic health records and health worker registries (HWRs), it is often impossible for hospitals to exchange health data that would be very useful for testing and communication purposes. We are aware of this problem, so we wanted to give MedNet users the ability to link their HWR and automatically connect their workers to the system, preventing the need to manually write data to a worker database. Furthermore, in the age of COVID-19 especially, personal protective equipment (PPE) such as respirators, ventilators, and masks are being used at an extraordinarily high rate, which inspired us to create a system that connects hospital departments in need of equipment to hospitals with resources to provide. What it does MedNet allows hospitals in need of equipment to register on the website by inputting the hospital name and the link to the data store for their health worker registry. After signing up, hospital department representatives may text the MedNet text line to ask for as much equipment as they need and set how urgent the request is. It was important that MedNet communicates over text, as hospitals in less-developed area generally have more access to mobile devices than computers. This information is sent to the website, which displays all current requests in order of urgency. All requests include the address, phone number, email, items in need, description, and urgency. Now, hospitals that have equipment to donate can browse through the requests and arrange donations with the requesting department via phone or email. How we built it MedNet was made in accordance with the Care Services Discovery (CSD) profile . Hospitals that register input the link to the data store for their health worker registry, a.k.a. their "Care Services InfoManager", as well as the XML document to query from. Here is an example HWR document. An OpenHIM mediator periodically fetches data from the HWR and sends to a Google Cloud MySQL database in JSON format via a PUT request to a RESTful API made in Node.js and Express. Therefore, when workers text the MedNet text line, we can check their phone numbers against the API to match the numbers to their respective owners and departments. The text line itself is made with Twilio's Programmable SMS service . When a worker finishes a text request, the request information is sent to a Google Cloud Firestore database via a request to another RESTful API made with Flask. Finally, the MedNet website retrieves requests from Firestore and updates its listings accordingly. The website and both APIs run on a Google Cloud Compute Engine Virtual Machine instance on Ubuntu. Registering and logging in are handled with Google Firebase Authentication . Challenges we ran into Figuring out how to create a Twilio SMS flow and connecting it to the Firestore database Setting up an API with Flask Initializing the development environment (OpenInfoMan and OpenHIM) Managing permissions in the Google Cloud project Connecting to the Cloud MySQL server Opening ports on the Compute Engine Virtual Machine Accomplishments that we're proud of Establishing an organized plan Figuring out how to add requests to Firestore after finishing a Twilio conversation Fetching data from Firestore from the website Creating a RESTful MySQL API with Express Making the website look good Successfully creating an OpenHIM mediator with orchestrations What we learned How to use Google Cloud Virtual Machines Firestore/Firebase MySQL Flask Javascript Bootstrap Twilio API Web design What's next for MedNet There are many things we would like to add to MedNet if given the opportunity to do so. We would like to add support for more Health Worker Registry managers—currently, MedNet only supports the OpenInfoMan . We could further promote interoperability by allowing hospitals with private HWRs to participate by installing OpenHIM and the mediator themselves. The overall security of the system is also something we would like to work on in order to prevent possible data breaches and assure hospitals that their information is safe. Additionally, as MedNet is meant to be a global effort, we want to work on translating the service in the future so that all hospitals can participate, no matter what they speak. Finally, we will aim to make the process of fulfilling requests easier by providing contact information and email templates. Built With apache bootstrap css3 express.js firebase flask google-cloud-firestore google-cloud-sql google-compute-engine html5 javascript jquery mysql node.js openhim openinfoman python twilio Try it out github.com mednet.space
MedNet
An interoperable and scalable mobile-phone based communication system that connects hospital departments in need of equipment to donors.
['Yuhwan Lee', 'Aditya Balasubramanian', 'Benjamin DiMarco', 'Mohamed Benalla', 'Tyler Lin']
[]
['apache', 'bootstrap', 'css3', 'express.js', 'firebase', 'flask', 'google-cloud-firestore', 'google-cloud-sql', 'google-compute-engine', 'html5', 'javascript', 'jquery', 'mysql', 'node.js', 'openhim', 'openinfoman', 'python', 'twilio']
89
10,267
https://devpost.com/software/racial-bias-test
Inspiration In recent months, we've been exposed to the incredible realization that police brutality in the US is primarily driven by racial bias. In an effort to address this, we have attempted to develop a racial bias test through Unity. What it does How I built it Challenges I ran into Initially, we hoped to incorporate AR into this. However, considering this was our first ever experience with AR, it was very difficult for us to understand how to implement it through Unity and use EchoAR. Accomplishments that I'm proud of What I learned What's next for Racial Bias Test Built With c# echoar google-poly unity
Racial Bias Test
In recent months, we've been faced with the unsettling realization that racial bias is an engrained part of the United States Police. Our application is meant to be a racial bias test for police.
['ssuman33 Suman', 'Ninny O']
[]
['c#', 'echoar', 'google-poly', 'unity']
90
10,267
https://devpost.com/software/connectify-new-connections-more-impact
Paragraphs introducing the project Map which shows the location of volunteers and those who need assistance Log in page Connectify The most vulnerable members of our community during this pandemic are the people who we require the greatest amount of protection. This population includes but is not limited to: the elderly, those with a suppressed immune system, and/or underlying illness. Therefore, we wanted to create a program to help them during these unprecedented times. In order to limit the amount of time spent outside by the vulnerable for essentials, we aimed to build a website as a means for the vulnerable to connect with volunteering youth, who are able to make grocery trips. If you are in need of assistance, all you need to do is create an account with Connectify and provide your grocery list and contact information. If you are a volunteer, all you need to do is create an account with Connectify and you will be able to see vulnerable individuals that need your help. Contact the person(s) of your choosing, then pick up their essential goods at a store of their choice, and deliver them to their home. Together, we can all make a change and positively impact our community. Architecture The website is built off of the WordPress content management system with added HTML, CSS, and PHP for additional functionalities. The site is hosted off of HostGator and employs features such as the Google Maps Javascript API and user and chatroom libraries to store and display user information. This allows registered users to discover others around them to receive or provide aid and makes communication easy through the built-in chat system on the website. View the code on https://github.com/diyang100/Connectify Software HTML CSS PHP Google Maps API HostGator WordPress Nothing is Ever Easy We faced the challenge of having imported libraries and plugins fail on us due to importing issues and compatibility errors. This caused us to have to restart the project and debug to narrow down the specific errors that occurred during the deployment process. Learning Through Failure Through this experience, we learned more about the composition of the back-end of websites and how libraries and plugins are integrated. We needed to modify the plugins to be compatible with each other while reducing web load times. Our next step would be to try to implement these features without relying on many of the pre-built features. Built With css google-maps html php wordpress Try it out connectify.website
Connectify: New Connections. More Impact.
A website to connect volunteers to those who need assistance, bridging people to reduce the risk of vulnerable individuals contacting COVID-19..
['Armeen Talwandi', 'Di Yang', 'Angela Du', 'Neysa Patel']
[]
['css', 'google-maps', 'html', 'php', 'wordpress']
91
10,267
https://devpost.com/software/socialdistancepathgen
'' Built With c# css html javascript Try it out github.com
socialDistancePathGen
Safely generated walking paths with social distancing logic
['Braden Everson', 'Sung Jae Bae', 'Rohit Jammula']
[]
['c#', 'css', 'html', 'javascript']
92
10,267
https://devpost.com/software/add-on-x5icga
ADD PLAYERS! Placeholder: Inspiration At gymnasics we would play this game called Add On almost every day right before practice started. From two to six players we would create a cumulative trampoline routine that would grow larger and wilder with every player's turn. We ended up inventing new 'moves' Enjoyment w. wil How to play Typically, each player plays his/her turn by: Recording a move that he/she wants to add to the routine Preform the routine with the move he/she added If the player failed to hit all the moves, he/she will be 'out'. To demonstrate how the begining of the game with two players might be played: Player one starts the round with a dab He/she then records the move into a database & preforms the whole routine in front of the camera (there is only one move in the routine rn) Player two follows by choosing to add a whip to the routine. He/she records the whip and preforms the whole routine (consisting of a dab then a whip ) Player one follows by adding a wild-card move where he/she scratches his/her armpits & dances like a monkey. Again he/she records the move and preforms the routine ( dab whip monkey move ) ... the pattern follows with [record, preform, evaluate] until one player has failed to do all the moves in his/her preformance. How we built it Charles started by programming server.js Aayush started with finding an Image Recognition Software to extract a _ skeleton _ representation of the player Dominik started with visuals for the front end Julien started with the front end By 3pm on Sunday we all came together to syncronize the project, help eachother adress minor issues, and complete files like acessing the user's camera that we still needed to begin. Challenges we ran into Due to time restraints, we were unable to debug our backend in time so we resorted to creating a whole new local backend 'main' script that would control the entire game within the last two hours of the event. We debugged the new script just in time. Accomplishments that we're proud of & What's next for Add On We are pleased with our functioning game but we hope to host the game online later on. What we learned We learned about machine learning & cyber security from the mlh workshops and we improved our programming skills. Built With css es6 express.js flask html javascript node.js python Try it out github.com
Add On
Horse + Simon says = Add On, an engaging game originally developed by gymnasts where players take turns remembering, adding to, and preforming a routine of any type. From sign language to tiktoks...
['JulienToons Owhadi', 'Dominik Soós', 'Aayush Sheth']
[]
['css', 'es6', 'express.js', 'flask', 'html', 'javascript', 'node.js', 'python']
93
10,267
https://devpost.com/software/productivity-app
A Productivity App Coded By Helen Xia and Tracy Dong What Inspired Us Over the quarantine, my friends and I have all struggled with keeping up with schoolwork and setting deadlines for due work. It often became overwhelming to decide on which classes and assignments to focus on first. As a result, for this hackathon, our team decided to create a productivity app that would create a schedule for you, such that you accomplish the most important tasks first and maximize your productivity. What We Learned In this project, the two main components were the interactive Tkinter interface, as well as the back-end where we used the Scheduling Algorithm to determine which tasks were the most important and quickest to complete. Over the course of this hackathon, we explored the various Tkinter functions, as well as experimented with different ways to manipulate user data. Challenges We Faced Since this was our first hackathon as high school students only experienced in Python, it was challenging to come up and produce an application that would help people in their day-to-day lives while still being able to complete the project within the given time frame. On the front-end side, it was a challenge to learn the various intricacies of Tkinter, as I was not very experienced in that library before starting DefHacks. Tracy: On the front-end side, it was a challenge learning the various intricacies of Tkinter, as I was not very experienced in that library before starting DefHacks. One of the main challenges that I experienced was organizing the large amounts of variables required as well as using class inheritance to build multiple screens, something that I did not know how to do beforehand. Helen: While working on the back-end of this program, I've encountered various challenges. One main problem I had encountered was understanding the logic data parsing and iterations. While programing some functions, I felt logically stuck when iterating through data structures. However, as a visual learner, I resolved this issue by drawing a storyboard. This hackathon has taught us a lot about the importance of staying organized and clear communication when collaborating together and has really sparked our interest in attending more hackathons in the future. Built With python tkinter Try it out github.com
An Algorithmic Productivity App
An app that calculates the optimal schedule to complete all of your tasks using the Scheduling Algorithm.
['tracy dong', 'Helen Xia']
[]
['python', 'tkinter']
94
10,267
https://devpost.com/software/defhacks2020
DefHacks2020 In America, politically charged news stations such as Fox News, CNN, and even the President, are not great sources of information. There are a lot of people in America who know very little about COVID-19, and there even exists people who think COVID-19 is a democratic hoax to impeach the President. Most websites that provide basic information on COVID-19 are a little dense, so we wanted to provide an easy to read website that gives families a general idea of what to do and what not to do during quarantine. We used bootstrap to lay the foundation of our website, then tweaked it using html, css, and javascript. This is our first hackathon, and it was my first project using html, css, and javascript. Since my partner and I live far away from each other, we had a bit of trouble coordinating the website and communicating in general. Built With bootstrap css html javascript jquery Try it out github.com
DefHacks2020
Our project is a static website designed to provide basic information on COVID-19 as well as help people stay healthy and happy during quarantine.
['Kunal Jangam', 'Kashif Peshimam']
[]
['bootstrap', 'css', 'html', 'javascript', 'jquery']
95
10,267
https://devpost.com/software/tempo-g0uazk
Inspiration We were inspired by the pomodoro technique, which theorizes that people are more productive when they separate their work in periodic intervals with breaks in between. We decided that these breaks can be short workout routines created by an algorithm. This seems as relevant as a subject matter as any, since so many people are stuck working at home because of the coronavirus. What it does Our application creates a workout for users based on their individual preferences and the equipment they have at their disposal. Workouts are created periodically and the users are prompted to complete them after an interval of time. Users can also choose to view their past workouts and study how much they have worked out in total. How I built it We used the MEAN stack with electron to build all of our codebase. Challenges I ran into The main challenge we ran into is the communication between components when creating the app with electron for the first time. Connecting electron with angular.js also revealed itself to be quite problematic. Accomplishments that I'm proud of. We are proud to be able to create a full-fledged application using electron for the first time, with a project that is so relevant to the current state of living that many are stuck in. What I learned We have learned to use many new libraries such as electron, and learned how to make efficient connections to the database, as well as deploy an application. What's next for Tempo For tempo, we plan on adding many more features, including videos, a more personalized interface for each user, as well as achievement points to motivate users workout. We also plan to make the UI smoother with better styling. Built With angular.js electron express.js mongodb node.js Try it out github.com
Tempo
Get fit at home using a exercise-at home generator, geared towards your interests
['Andy Yu', 'Andre Law', 'Simon Wang']
[]
['angular.js', 'electron', 'express.js', 'mongodb', 'node.js']
96
10,267
https://devpost.com/software/trendit-pyl38f
Our logo, symbolizing how fast information can travel during this day and age Home screen of our website, where you can process either a trending topic (default values 1 month, worldwide), or your own keywords When a result is finished loading, it'll bring you to a new page, where the articles found are summarized, with the link underneath Example search Inspiration The state of our world and its rapid growth inspired us to create Trendit, a web application designed to keep you in the loop. There are many important social causes and events taking place in our world right now and staying well-informed empowers us to make educated decisions. There were times in our own lives where we felt clueless about a large pop culture event and wished there was an easy way to learn about it. Modern pop culture can oftentimes be riddled with references and inside jokes that are confusing to navigate. We wanted to help people stay in touch despite the confusion and change occurring in everyone's lives at the moment. What it does Trendit is a web application designed for the user to research and catch up on any topic of choice. Using data from search analytics and an NLP summarizer, the user is provided relevant information in a concise manner with other links for additional reading. Trendit grabs information from a diverse range of sources to provide the user with a varied and sophisticated understanding of the topic at hand. How we built it We built Trendit with HTML, CSS, JS, Flask, and a variety of Python libraries. The UI was designed to be simple and pleasant. To create the logo orbiting animation, we used JS with some mathematic functions. To retrieve URLs and to show currently trending topics, we used the PyTrends library. To make Google searches, we used requests, and to parse them we used beautifulsoup. To create summaries, we used the newspaper module. Finally, to communicate with the frontend, we used Flask. Challenges we ran into We were all new to Flask, which we used in order to connect the front-end website with our back-end, where we scrape, summarize, and process the data to be delivered. During the first few hours, we spent our time getting accustomed to Flask, following along with YouTube tutorials, and setting up our Github Repo and PyCharm environment. In order to deliver our content, we scraped data from websites which proved to be a more complicated task than initially anticipated. Issues such as sending too many requests and optimization required us to perform additional research and to be more ingenuitive with our approaches. We also dealt with an issue where our webpage was returning ERR_Empty_Response. Utilizing monkey wrench we were able to properly manage the threaded processes and prevent this error from reoccurring. Accomplishments that we're proud of We are proud of learning an entirely new web framework - Flask - in 36 hours and still being able to create a useful and innovative project. We learned how to use many different libraries and built-in features to enhance our project. In addition, we are proud of our strong teamwork and dedication allowing us to create a fully-fledged project while all in quarantine. What we learned This project taught us about web scraping and the intricacies between balancing efficiency and stability. In addition, we learned how to utilize an array of python libraries to summarize articles, manage datasets, and find trends. Through this hackathon, we learned how to incorporate Python with HTML (backend and frontend) to create a website with more unique and advanced functions. During this hackathon we learned about: -Flask -HTML, CSS & JS -BeautifulSoup -Newspaper3k -Pandas Dataframe -Pytrends What's next for Trendit We hope to lower the time needed for processing and deliver more accurate results for more obscure searches. In terms of visual improvements, in order to make the processing time a little more clear cut, we also would've liked to have the moon orbiting while it loads. Built With beautiful-soup css flask html5 javascript newspaper3k python pytrends Try it out github.com
Trendit
A processing engine that returns the most relevant links given keywords searched
['Justin Lu', 'Justin Zhu', 'Kenneth Ruan', 'Ronald You']
[]
['beautiful-soup', 'css', 'flask', 'html5', 'javascript', 'newspaper3k', 'python', 'pytrends']
97
10,267
https://devpost.com/software/tinylaw
Home Page Search Setup Page Sub-Category TinyLaw TinyLaw is simple safety tool for some of life's most difficult and potentially life-threatening moments. Whether you need quick tips on navigating a sticky immigration situation or you want to stand your ground at a protest, TinyLaw's locally hosted information can come in handy. With no internet connection needed, you can always reduce the risk of being tracked, which can serve you quite nicely in many dangerous scenarios. Information TinyLaw sources information from reliable sources such as the ACLU and the National Domestic Violence Hotline. Information is provided for scenarios such as getting pulled over by police officers or being detained while protesting to handling workplace discrimination cases and living with and escaping domestic violence. Multi-Language Support TinyLaw supports six different languages. All the same, reliable information is available in English , Spanish , Chinese , Korean , French , and Arabic . Search Function Seamlessly search within the app to quickly find exactly the scenario you are in or would like to prepare for. There's no need to sift through various categories looking for information; the most relevant page (if found) will pop up immediately! Emergency Mode Additionally, the app features an Emergency Mode , which will allow you to silent and discreetly record your surroundings and and alert an emergency contact that you are unsafe, while ensuring that your phone remains silent and the screen turns off. Built With adobe-xd android-studio java json xml Try it out github.com
TinyLaw
TinyLaw is simple safety tool for some of life's most difficult and potentially life-threatening moments.
['Adam Kadhim', 'scedanquah Eshun Danquah']
[]
['adobe-xd', 'android-studio', 'java', 'json', 'xml']
98
10,267
https://devpost.com/software/carepackages4u
Summative project Built With arduino
Personal Fan
TEJ3M
[]
[]
['arduino']
99
10,267
https://devpost.com/software/surgeon-simulator
Inspiration As essential workers in the medical industry are in the forefront in today's world, we wanted to make a game that would help students that are aspiring to be in this career to progress through their studies. To do this, we wanted to make a game that would try to simulate the pressures that come with being a surgeon without being in the operating room. What it does Our game is a text-based quiz, consisting of three levels of increasing difficulty that quizzes the user on the methods that need to be used to help a patient with a given ailment. The game rewards players who answer the multiple-choice questions quicker, as it demonstrates their ability to work under pressure. If a player makes a small mistake, the game continues, but points will be deducted from the end score. If the player makes a big mistake, however, the level will restart after a game over screen is displayed. At the end of the game, the score of the player is shown along with a gauge of how well they did overall. How we built it We used Java for the code, implementing object-oriented programming, including inheritance. We also used a little bit of Python to help with the timer. We used JavaFx to display the graphics. Challenges we ran into In each question, we have a group of radio buttons and a confirm button to select the desired answer. We were having trouble determining which of the radio buttons was selected after the confirm button was clicked and using this information to determine the score that was given to the user based on their choice. Additionally, we had a bit of trouble transitioning from one level to the next. Accomplishments that we're proud of We are proud of the graphics that we implemented throughout the project because all four members in the group were relatively unfamiliar with GUIs prior to this hackathon, but as we progressed, we learned more and more about how to use graphics in our code and are very pleased with the result. Also, we are proud of the structure of our code. We used inheritance to avoid duplicating code and we think that as a result, our code is more concise, intuitive, and was easier to edit than if we had used a different method. Lastly, we are simply proud of the fact that we were able to finish everything that we wanted to finish and even create a few extra aspects of our code before the deadline. What we learned We learned how to better implement GUIs We learned how to use a GitHub repository as a way to collaborate on code. We learned the importance of commenting as it was necessary towards the end of the project in order to understand parts of our code that were written much earlier. What's next for Surgeon Simulator Next, we will implement visual interaction in order to complete the steps of surgery. This will better simulate the process of the surgery to the students. Built With java python time Try it out github.com
Surgeon Simulator
An Interactice Text-Based Game To Help Prepare Future Surgeons
['Adrien Bekker', 'Vijay Sreenivasan', 'Kaiyang Zhu', 'Evan Tompkins']
[]
['java', 'python', 'time']
100
10,267
https://devpost.com/software/yogasherpa
YogaSherpa A Flutter based application that acts as a partner for your quarantined Yoga sessions. Helping users gain a healthy lifestyle in stay-at-home quarantine days, or just providing the user a partner for social distancing yoga days! Detects yoga poses of the user using PoseNet architecture, transfer learned to detect yoga poses. Built With dart firebase flutter text-to-speech Try it out github.com
YogaSherpa
A Flutter based application that acts as a partner for your quarantined and social-distancing Yoga sessions.
[]
[]
['dart', 'firebase', 'flutter', 'text-to-speech']
101
10,267
https://devpost.com/software/weather-music
Screenshot 3 Screenshot 2 Screenshot 1 Weather-Music For the Def Hacks 2020 Virtual Hackathon Group members: Jenna Wang, Mayeen Ayoub, Emily Qin, Anna Wang, and Christina Zhang A simple website that offers music matching the vibe of the weather. We made a website that offers music to match the vibe of the weather. Due to the stress and isolation in quarantine, we wanted to build something that would emulate the beautiful days outside through music. To spread our vision in a quick and simple way, we decided to make a website so that this idea could be easily accessible through the web. During this process, we learned that there are a lot of different things to consider when inserting audio into a website. We learned that it takes patience to build something extraordinary and we learned that certain functionalities needed to be prioritized to get things done. We built the site collaboratively through repl.it multiplayer and that allowed us to divide the work and get things done efficiently. First we worked on how our website would look through HTML and CSS code. While that was being done, our other teammates went around looking for melodies and sounds to embed into our website. After that we focussed on the JavaScript portion to get all the buttons to work. We faced a few challenges. There were a few times when things didn't work out perfectly the first time. We thought of several solutions and then put the most efficient one to work. We had a lot of fun designing and building this website and we hope you'll enjoy our submission as much as we did making it. Built With css html javascript Try it out github.com
Weather Music
A simple website that offers music matching the vibe of the weather.
['Jenna Wang', 'Christina Zhang', 'Mayeen Ayoub', 'Emily Qin']
[]
['css', 'html', 'javascript']
102
10,267
https://devpost.com/software/medbee
Inspiration dummy What it does dummy How I built it dummy Challenges I ran into dummy Accomplishments that I'm proud of dummy What I learned dummy# What's next for Medbee
Medbee
test
["Jason N'Guessan", 'Bianca Lena']
[]
[]
103
10,267
https://devpost.com/software/medication-list-zboamd
Picture of the Email Received by the Pharmacy ## INSPIRATION I really wanted to help out anyone during these times through my knowledge of computer science. I am a beginner in computer science, but I think that one basic problem during COVID-19 is uneasy access to medication, and this can be easily solved if there was a simple way for the patient to order what they need at the touch of their fingertips. They do not have to navigate themselves through a complex website to order what they need. The user just has to use my code, and a confirmation email is sent to the pharmacy with the patient's order.  ##WHAT IT DOES My program asks for the user to enter in the name of the medication, in addition to the quantity of the medication. Then, my program sends an email to the pharmacy with the user's order. The user enters the pharmacy of their choice.  ##HOW I BUILT IT It was initially very hard for me to build this program because I had no idea how to implement HTML code into a Python development environment. I also had no idea how to send an email through Python. I started off by writing basic code with if statements, loops, and print statements. I started off by asking the user whether or not they wanted to place an order. If they said yes, then I asked them for the quantity and name of the item. If they said no, I quit the program. I also had to learn some HTML along the way, so I could format the header and body of the email message, and that HTML knowledge helped me to send the email after the user was done entering. The user can also choose which email they want to send the order to.  ##CHALLENGES I RAN INTO I ran into many challenges. First, I had started off by creating a website that would include current information about COVID-19. My initial intention was to have different tabs on the website. If you clicked on one of them, you would be able to order your medicine. But, I tried to use Flask; however, I could not get my Python code to connect with the HTML that I used to build the website. However, I am still very grateful for the fact that my back end code works. Even through writing the back end code, I had challenges. I had to figure out where to put what HTML code, since I am a complete beginner at website development or HTML coding in general. Another issue I ran into was that sometimes, the email would send; however, there would be no content in the body of the email.  ## ACCOMPLISHMENTS I'M PROUD OF I am proud of the fact that my code works in the first place! It took me a long time to develop it, but I eventually got it working. I am glad that I am now more familiar with HTML, and I am proud of the fact that the algorithm for my code works.  ##WHAT I LEARNED I learned how to work with many languages and interact with all of them in my Integrated Development Learning Environment. I learned how to search on Google, and StackOverflow is a very helpful website. I also learned to keep trying my code and fix it through whatever I think may work, regardless of the fact that I am a beginner, because the output, when I fixed the code, was the most beautiful thing ever. ##WHAT'S NEXT FOR MEDICATION LIST I will build a web application where users can enter their medications and submit it to their pharmacy. Built With html python smtp Try it out github.com
Medication List
This is an easy way for anyone to quickly order any medication online to a pharmacy of their choice. This product is incredibly necessary especially in these times of COVID-19.
['kanchankrishna Krishna']
[]
['html', 'python', 'smtp']
104
10,267
https://devpost.com/software/supply-me
Landing Page Map - Page where users can visualize the supply chain in action About Us - Page where users can get knowledge on the functionalities of the website Contact Us - Page where users can ask any questions/concerns to our team Register - Page where users can register their company into the supply chain map Inspiration Going into this hackathon, our team thought about going into this hackathon: “How can we help the now disrupted supply chain?” As of this question, along with our passionate interest in innovative technology, is what lead to the groundbreaking solution that is Supply Me. Our team, during the Coronavirus pandemic, has noticed the issues regarding the production of peculiar products such as produce, which includes vegetables, milk, and other produce. We not only see this but as well the underproduction of goods such as personal protection equipment from companies such as 3M. It was a growing concern our team saw, in which the loss of grip and control in overproduction has led to significant food wastage, and many medical institutions undersupplied with PPE. It’s dangerous in the manner that while so many people are in need, food is being thrown, and medical institutions are in trouble. We were surprised to see a real multi-million-dollar problem under the radar, especially in times like these. We felt compelled to create a solution. Something that would support everyone, including producers, warehouses, and end consumers, but yet also provide a clean and simple user experience at the same time. What it does Supply Me is an organized supply chain web application that brings users seeking to find/manage their supply/demand for their company/organization. This includes personal protection equipment manufacturing companies, farms, significant warehouses, hospitals, or even small grocery stores that need to express how much supply of a product is necessary. The system works because a user completes a simple registration form where they upload their company credentials. The credentials would include the name of the company, product type, the number of products needed/stored/manufactured, the general type of the company (producer, warehouse, or retail) and finally, the specific type. After verification, the company (3M, for example) will be placed on a map where supply and demand will be shown. By being placed on the map, the smart route systems will then funnel resources from the producers to the storage (warehouse) and finally to the consumers (stores/restaurants). The intelligent route system, utilizing the Google Map API, can calculate the shortest, fastest route possible for both producers and consumers, thus no more delay time. Furthermore, Google Map API gives more options for customization, agile experiences that bring the real world to our app with static and dynamic maps, Street View imagery, and 360° views. We give users the best way to get supplies and products from A to Z with high-quality directions and real-time traffic updates. To add on, it can determine the route a vehicle travels to create more precise itineraries. Last but not least, the Google Map API lets users discover the world with rich warehouse location data for over 100 million places. Producers can find specific areas using phone numbers, addresses, and real-time signals. A user can also go on our about us page to learn more about the website and its features. Last but not least, they can go on our contact us page to provide the team with any comments or questions to make the platform better over time. How we built it We started with a frontend. We had multiple people develop frontends, and we chose the best one. After this, we utilized AWS and MySQL to create a database for the backend. The AWS API used Lambda, and the actual method was written with Python 2.7. We also used AWS to host a remote MySQL database. This way, everyone could access it. The frontend was built with XD, HTML, Javascript, and CSS. We used Ajax to communicate with the backend. Challenges we ran into We had a few problems throughout the project, one of the most notable being a partner who was also a part of another team. We managed to work around this by divvying up the roles that we gave him. Another problem was syncing a MySQL database across multiple computers. We were able to tap into our resources and utilize AWS for our backend needs. Another issue we came across was Domain.com and Github's display of HTML files. Sometimes it would work and sometimes it wouldn't. We fixed this issue by discussing the problem with the mentors. Knowledge was also a problem, as we didn't know everything we needed to know for this project. However, we all persevered and learned everything we needed to learn. We also didn't know each other before the hackathon, but we got to know each other throughout the course of the project. This also helped us work together more efficiently. Accomplishments that we're proud of We're proud of how we managed to work together efficiently. We are all high schoolers (ages 14-15) who didn't know each other well before this hackathon, but thanks to the hackathon, we were able to meet each other and work on a fantastic project. We also learned a lot in order to complete this hackathon, and these skills will definitely come in handy in the future. What we learned We learned a lot more about Javascript, HTML, AWS, CSS, and MySQL. These skills are incredibly useful in computer science-related careers, and we're glad we got this opportunity to learn a bit more about coding vanilla web apps, without using any external frameworks. What's next for Supply Me As Supply Me gets more datasets from different other companies, we will be implementing a filtering system, making browsing the supply chain visually more convenient and portable. Supply Me will have to find a way to get a revenue source, such as annual plans for companies, warehouses to purchase. It would benefit the companies by getting more premium services from Supply Me regarding their supply chain system. Domain Name supplyingnotdying.online To view the map on the website please use Moesif CORS chrome extension Built With amazon-web-services css google-maps html javascript json node.js sql Try it out github.com
Supply Me
A supply chain visualization platform
['Sohil Athare', 'Andrew Yang', 'Raeed Azom']
[]
['amazon-web-services', 'css', 'google-maps', 'html', 'javascript', 'json', 'node.js', 'sql']
105
10,267
https://devpost.com/software/defhack2020
DefHack2020 - MedHero Inspiration Have you ever gone to the doctor and almost forgot why you were there? You can’t seem to recall when your symptoms occurred or how severe they were? Well it happens to us and then right after we leave the office it all comes rushing back to us. We say no more, with our application MedHero. Short Description MedHero is a web application that allows users to register & login to their account and track the medications they are taking and the symptoms they have. This allows the user to keep an updated list of all their medications, makes it easy to track if and when they took their medication, and also allows them to track their symptoms. This application is meant for anyone to use regardless of age and there are a variety of features to keep everyone happy. Features Dashboard: The Dashboard has a useful overview of all current medications and the last five medication logs. This lets users see what medication they took recently and a short list of all the Medications they are taking Medication Tracking: The application has a page for the overview of all current medications. The user can create medications and view the current medication and the following stats for each medication: what the medication is treating, common side effect of the medication, dosage, and whether the medication is taken in the morning, midday, evening, at bedtime, or any combination of the four. Another page allows the user to track their Medication Log. They can see the date, time, and number of doses that they took. Symptom Tracking: The user can log their symptoms, date, severity, and duration. They can also update the symptoms they want to track and view all their logs. Symptom tracking is useful to know if the medication is working, monitor possible side effects, and identify new symptoms that are developing, perhaps indicating a new disease/disorder/ailment. Often people are not aware that they are experiencing side effects and should explore other options. Furthermore, it tells the patient if it is a side effect or a sign or another medical issue. Graphical Data: The logs are displayed graphically for easier viewing and to see trends. Medication Reminders: be reminded to take your medications if they haven't been logged My Heros: The My Heros page is a social aspect to this application. It allows the user to add friends, family members, and their doctors to the app. The user can then chose to share certain information with them. The user can enable notifications to friends to remind the user to take their medications. The user can see friends current symptoms to understand what they are going through and be better to help them out. The doctor can monitor the medications and symptoms of their patient. Are you far away from a loved one and want to make sure they are staying healthy? Add them to your network and create a community of caring! Achievements: Want to be patted on the back for being healthy and see your statistics! Who doesn't? The achievements page will further motivate the user to stay healthy and use the app. Accomplishments That We're Proud Of! Getting so far in developing our prototype! What's Next For MedHero Improve the UI/UX Add more security Finish developing the social aspect and achievements Make more data analytic tools available Opt in for research purposes Setup reminders with email and text using an API like twilio Domain and Web Hosting Android/IOS/Microsoft Applications Built With bootstrap css django html javascript openfda python sqlite zingchart Try it out github.com
MedHero
A Community of Caring
['Nabeel Saud', 'Jonas G']
[]
['bootstrap', 'css', 'django', 'html', 'javascript', 'openfda', 'python', 'sqlite', 'zingchart']
106
10,267
https://devpost.com/software/covied
Inspiration We wanted to make a website that informs about COVID-19, all in one place. Sometimes, it can be distracting and confusing with all the updates about new policies and regulations, research, and statistics. Therefore we wanted to create a concise and informative website, just about what the COVID-19 is. What it does The website consists of information about COVID-19, ways to prevent, quotations from experts, statistics about the current confirmed cases, informational video, and the symptoms of COVID-19. How we built it We used HTML, CSS, and JavaScript Challenges we ran into Coming up with a project idea was a challenge for us. In the beginning, we were going to create an Android app that sends an alert when someone nearby does not follow the social distancing rule. However, a similar idea was already made by Google and Apple, therefore we had to quickly change our project idea. Accomplishments that we're proud of We are proud that we were able to work together even though we had a difference in time zone (India and Canada). What we learned We learned all the different features and settings in HTML and CSS. What's next for COVIED The next steps for COVIED are cleaning up the UI/UX and adding additional information. We want to expand on this, therefore COVIED has some outstanding features that other websites do not have. Built With css3 html5 javascript Try it out github.com covied.tech
COVIED
Informs and educates people about COVID-19 all in one place.
['Ikshita Yadav', 'Ashish Kumar Panigrahy', 'Judy Yeonghyeon Ham']
[]
['css3', 'html5', 'javascript']
107
10,267
https://devpost.com/software/fortnight-mastery
Opening Splash Page Fortnight Mastery Tracks Fortnight Mastery Mental Health Resources Contact Us Section Inspiration Fortnight Mastery was created because I realized that a ton of people have tons of time and want to learn new skills but they might not know where to start. I've curated a bunch of resources and created multiple step by step 14 day tracks to help users master a skill or multiple skills, ranging from coding to graphical design to business. With this new website, users can be well on their way to emerging out of the COVID19 pandemic with a new skill. What it does A website that offers users multiple tracks to follow and master a skill in 2 weeks. Includes a step by step plan along with resources to learn the skill. Mental health section and resources are also provided during the COVID19 pandemic as many of our users could be struggling. Tracks can be duplicated as a template in Notion and users can track their progress and take notes on the revolutionary Notion platform. How I built it I built this project with HTML and CSS, and minimal amounts of Javascript, on a Github repository! I published the project with Github Pages and a domain from Domain.com. Challenges I ran into Some challenges that I ran into include: Learning how to use Github properly for the first time, seeing that I had to share my code in the end Narrowing down my idea from something that was much larger in scale but I knew I couldn't get done in the length of the hackathon Setting the domain name and pointing it to my Github repository was also quite difficult and I panicked having waited for at least 2 hours for the domain to kick in Filming the demo video also took a lot longer than I anticipated Finishing everything in the time given, this is in a sense the first hack that I developed on my own! Accomplishments that I'm proud of This is the first hack that I've worked on by myself and in my opinion, for my first solo hackathon, I did pretty well! I learned how to come up with an idea and execute it in less than 36 hours, which was absolutely exhilarating! This is also the first time I used Github properly for a project and I'm really glad that I finally learnt how to use it and publish a project with it! What I learned Applied what I learnt from my freeCodeCamp Responsive Web Design Certification Learned to use Github for the first time properly Learned to create my first hack with pure code, HTML/CSS (not just website builders or Wordpress) Reaffirmed that Google's your best friend when you're having difficulties or troubles! Forums and other articles are usually amazing, because if you have a problem, most likely someone before you has had the same problem, oftentimes already have a solution on the web! What's next for Fortnight Mastery Brushing up on the UI/UX Setting up a login/user system Creating subpages for the tracks, I didn't know how to do that and with the time constraints, I didn't get a chance to Possibly expand to offer our own course offering Possibly adding on a free volunteer tutor service Potentially non-profit incorporation Built With css html javascript Try it out fortnightmastery.space kevin-liu-tech.github.io github.com
Fortnight Mastery
A website designed to help you master a skill in a fortnight (2 weeks)
['Kevin Liu']
[]
['css', 'html', 'javascript']
108