hackathon_id int64 1.57k 23.4k | project_link stringlengths 30 96 | full_desc stringlengths 1 547k ⌀ | title stringlengths 1 60 ⌀ | brief_desc stringlengths 1 200 ⌀ | team_members stringlengths 2 870 | prize stringlengths 2 792 | tags stringlengths 2 4.47k | __index_level_0__ int64 0 695 |
|---|---|---|---|---|---|---|---|---|
10,384 | https://devpost.com/software/mindtracks-9ow2sc | Inspiration
Music can have a huge impact on our mood and mindset. MindTracks supports emotional and physical well-being by enabling users to identify their current mood or activity level and plays curated music accordingly.
What it does
A user can register, login, and identify their current mood or activity level on a scale and playlists will be curated accordingly.
How we built it
Front-end: HTML/CSS/JavaScript/Bootstrap //
Back-end: Python/Django, SQLite //
Tools: Spotify Embed Widget
Challenges we ran into
We had difficulties in utilizing the Spotify API to bring in the playlists and the login portal to our homepage. Providing users with their average mood rating for additional insight through the database was another challenge.
Accomplishments that we're proud of and what we learned
Open communication among team, frequent discussions through meetings and flexibility to adjust or change direction of project when necessary. Being in the 'New Student' Category, we were able to successfully experiment and implement with tech stacks we had no prior experience in.
What's next for MindTracks
Bring in more functionality from Spotify by utilizing its Web API, provide meaningful user data with mood ratings, and implement other ways to deliver more specific playlists to users.
Built With
bootstrap
css
django
html
javascript
python
sqlite
Try it out
mind-tracks.herokuapp.com
github.com | MindTracks | A web app which provides users with a categorized playlist based on their current state of mood and activity level to support their well-being. | ['Alex Shin', 'Dustin Walkup', 'David Lee'] | [] | ['bootstrap', 'css', 'django', 'html', 'javascript', 'python', 'sqlite'] | 6 |
10,384 | https://devpost.com/software/weigh_to_go-8csw50 | GIF
Weight to Go
The Weigh to Go project was a success. We had great team communication, and we met our initial goal. We learned a lot as a team through extensive research on Flask, HTML, and GitHub.
Additional features to include in Weigh to Go in the future would be a visual representation of the needed weight plates, a workout tracker to create and save workouts, and a social component to share progress and workouts with friends.
Built With
bootstrap
css
flask
git
github
html
python
pythonanywhere
Try it out
kaa.pythonanywhere.com
github.com | Weigh to Go | The user inputs their desired barbell weight. The web app calculates and displays the weight plates necessary for each side of the barbell. | ['Alan Hernandez', 'Kevin Bower', 'Amy Salley'] | [] | ['bootstrap', 'css', 'flask', 'git', 'github', 'html', 'python', 'pythonanywhere'] | 7 |
10,384 | https://devpost.com/software/osu-hackathon0920 | Our Team's Goals:
Machine learning solution to food nutrition data
Wanted to make nutrition tracking easier
Needed to choose a data set that would be easiest given the time frame
What We Achieved:
A website application in Flask that uses Python code to take an image that a User uploads, recognizes the fruit that is in the photo based on the Google Vision API, then uses the FruityVice API to return basic nutritional facts of that fruit to the user.
Built With
css
html
python
Try it out
github.com
docs.google.com | osu-hackathon0920 | A machine learning based nutrition information provider | ['Marissa Castillo', 'Samuel Kinkade', 'Anthony Robinson'] | [] | ['css', 'html', 'python'] | 8 |
10,384 | https://devpost.com/software/ikaizen | Landing Page
About Page
Sign Up
Log In
Dashboard: in progress...
Dashboard: pre-selected habit options
Inspiration
Our inspiration came from the Japanese philosophy of kaizen. Kaizen philosophy teaches that continuous and incremental changes to behavior add up over time, creating substantial growth and lasting change. We aim to empower users to participate in their own personal growth and lifestyle changes.
What it does
iKiazen works by providing a platform for users to track their daily habits, goals, and moods over time. In an effort to understand why healthy habits are so easy one day, and out the window the next, we have brought human emotion into the kaizen equation. Even when experiencing temporary unpleasant moods, our graph features help you to view your overall growth and progress from a long-term perspective.
How we built it
We used a MERN tech stack, JSON API, Javascript, React-Bootstrap, Heroku for web hosting, and MongoDB Atlas for database hosting.
Challenges we ran into
Version control merge conflicts, difficulty choosing between wants vs needs, time constraints, testing and debugging the back end, completing the front end, difficulty learning new technologies including Node.js and React, and deploying on Heroku.
Accomplishments that we're proud of
Functioning back-end, UI design, we finally got it deployed on Heroku!
What we learned
React, routers, the importance of planning ahead, implementing user authentication on the front-end, and learning by doing is more effective than watching tutorials. It's amazing how much four students can accomplish with a goal, a deadline, and very little sleep!
What's next for iKaizen
Complete the front-end, specifically our Dashboard page so users can log their emotions and save habits in the database. We'd also like to create charts and graphs to display user's input over time.
Built With
express.js
javascript
mongodb
node.js
react
rest
Try it out
ikaizen.herokuapp.com
github.com | iKaizen | iKaizen is a web application that helps its users implement kaizen philosophy for personal growth and healthy lifestyle changes by tracking daily habits, goals, and moods over time. | ['Ashley Owens', 'SantiagoMonleon Monleon'] | [] | ['express.js', 'javascript', 'mongodb', 'node.js', 'react', 'rest'] | 9 |
10,384 | https://devpost.com/software/spaceship-you | Dashboard
Inspiration
CGP Grey's Spaceship You concept:
https://www.youtube.com/watch?v=snAhsXyO3Ck
What it does
Let's you allocate time to Working out, being creative, relaxing (couch), and Sleep
How I built it
React.js and Node.js (originally Django + Python Backend)
Challenges I ran into
Backend compatibility issues with Django.
Accomplishments that I'm proud of
Getting graphs to look like and fetching data from backend from them.
What I learned
A lot about React class components.
What's next for Spaceship You
Adding more functionality of watching shows and tv shows.
Built With
node.js
react
Try it out
spaceship-you.herokuapp.com | Spaceship You | Live through quarantine like an astronaut | ['Phillip Bindeman'] | [] | ['node.js', 'react'] | 10 |
10,384 | https://devpost.com/software/which-way | Which Way?
Which Way? is an app made as part of the OSU Hackathon project, Sept 10-13th.
OSU Hackathon
OSU Hackathon Slack:
http://osu-hackathon.slack.com
Hacathon page on DevPost:
https://beaverhacks-fall-2020.devpost.com/
The focus on the hackathon is "health" which I took as promoting a healthy lifestyle by encouraging fitness and getting outdoors. This app addresses the issue of not being able to find the golf flag (or pin) while on a course. Sometimes there are hills, trees, or other obstacles that block view of where exactly the pin is located and you as the player don't know where to hit the ball. This helps the golfer orient toward the flag.
Team
AnnawanDev (aka Ed Wied)
Technologies used
Swift
App overview
The app is divided into three sections:
hole finder
about
admin screen
Hole Finder
The user chooses a course, followed by a hole, then they are taken to a page where they can see the distance to the pin and get a 3d orientation on where to hit toward.
In practice, the holes would be maintained by a golf course admin who would mark the GPS locations of the holes using the app.
A 3D marker is placed in the augmented reality view, but the actual orientation is not updated. This was unfinished.
About
The about us page simply presents information about the app
Admin Screen
The admin screen allows an admin to add/update hole GPS positions. Golf courses regularly change the hole position on the green, so this would enable an admin to update GPS locations over time.
Demo
TBD
Technologies learned
This hackathon was a great opportunity for some deep diving on technologies. I focused on the following areas:
Core Location for iOS
ARKit for iOS
Future direction
Hole information either persisted locally or using API to load and store off-app (or both).
Move away from using singleton pattern for sharing data - useful but can be difficult to maintain/scale, possible source of bugs later.
Admin authentication off-app (must).
Admin web site to add/manage admin users
Golf course choices are for show only. The hole data is not linked to a particular course. Need to tie different hold GPS data to different courses. Need back-end API to save data.
Add MapKit to give overview view of where player is in relation to pin
Add test coverage with unit tests
Challenges:
Can overlap button on top of ARSceneView, but buttons weren't responding to touch events - need to move toward making ARSceneView full screen.
Getting the orientation to destination - major purpose of the app
(Annoyance)Using AR means you can't use the simulator and so you have to constantly build to device to test
Feature Rundown:
Get device location: :white_check_mark:
Ability to add destination GPS locations: :white_check_mark:
Ability to tell direction from user to destination: :white_check_mark:
Ability to add 3D Augmented Reality marker on screen: :white_check_mark:
Ability to render and update AR marker toward destination: :x:
Ability to persist/retrieve data remotely: :x:
Final thoughts
Adding CoreLocation was easy. I found it pretty straightforward to get the current device location. I dived into some
AR (augmented reality) tutorials on Udemy
and found it a lot easier than I thought to add AR. The real tricky part was getting the bearing to the target location and then constantly updating that visually in the screen. That'll have to be a future todo in fleshing out this project post-hackathon. The other thought is that the data is not persisted, so while it's fine for a hackathon, you need a real back-end system to store the data. Altogether it was a fun couple days of coding.
Built With
swift
Try it out
github.com | Which Way? | An iOS app that helps golfers with live GPS location data and augmented reality. Promotes exercise and healthy lifestyles | ['Ed Wied'] | [] | ['swift'] | 11 |
10,384 | https://devpost.com/software/beaverhacksfall2020 | The main menu
Timer screen
What it does:
This app is a timer for
high-intensity interval training
that lets you select the amount of and duration of 'high intensity sets', as well as the duration of the 'low intensity sets' that follows each high intensity set. Tapping on the timer allows you to pause/continue the timer.
Runs on Windows and Android.
How we built it:
Language: Python
Framework: Kivy
Tools:
PyInstaller (to make the .exe),
Buildozer (to make the .apk)
Challenges we ran into:
Learning Kivy and using it to build a GUI with multiple 'screens'
Packaging the project
Users can't run the .py without having Kivy installed
Packaged into .exe file, but still must be in a folder with many other files to run.
Learning how to use GitHub for version control with multiple people updating code .
What's next for HIIT Timer:
Adding warmup and cooldown rounds
Adding presets, saving user preferences
Options to toggle sound on and off
Single .exe file
How to run:
PC:
(Kivy does not need to be installed for this method.)
1) Download HIIT Timer.zip from GitHub
2) Extract 'main' folder (All files must be in this folder!)
3) Run HIIT Timer.exe
Android:
1) Download HiitTimerv2.apk from GitHub
2) Run app!
Built With
kivy
python
Try it out
github.com | HIIT Timer | A timer for a HIIT workouts! | ['Shane Yen', 'Vi Phung'] | [] | ['kivy', 'python'] | 12 |
10,384 | https://devpost.com/software/healththeremind | Inspiration
It can be difficult to keep track of all the appointments and prescriptions you need to take, especially as an elderly person. To help remind them, we built an app that can record all upcoming appointments and prescriptions so that you never forget or miss out.
What it does
It is like a logbook that records all appointments and prescriptions that you need to keep track of.
How I built it
The app is built with Android Studio using Java and XML language programming. The Lambda backend is programmed in node.js and served via API Gateway. The Lambda handles the logic for the API requests to update data in the DynamoDB database. For the login, we used Firebase authentication.
Challenges I ran into
It was challenging when we found out that we couldn't use an Express app to host our backend as it couldn't communicate with our Android app due to network complications. We switched over to using Amazon Web Services which took some extra work. For most of us, Android Studio was a new experience and it was our first time tackling it.
Accomplishments that I'm proud of
We're proud of the things we learned and that we could apply it to a fun project.
What I learned
We learned how to program in Android Studio using Java.
What's next for HealthTheRemind
We will add notification reminders that show up on your phone when an appointment or prescription reminder is coming up.
Built With
amazon-web-services
android-studio
firebase
Try it out
github.com
github.com | HealTheRemind | An app that helps you keep track of your prescriptions, appointments and other medical information. | ['Jonathan Macias', 'Adam Graneto', 'Crypto :)'] | [] | ['amazon-web-services', 'android-studio', 'firebase'] | 13 |
10,386 | https://devpost.com/software/smart-garage-by-the-brogrammers | ultrasonic sensor
system low angle
close up
system
firebase structure
activity log
open button
user that is not set up
share page
Inspiration
We really wanted to create a project that was useful. Obviously the smart garage is super powerful and a great project idea. Compared to some other useful project ideas this one we were most confident in because it is the perfect mix of complicated and being achievable in one weekend.
What it does
Simply you can control the garage by pressing the button and it will open the garage. It also will read the garage status.
How we built it
We built it using a flutter app. The app then connects to firebase. When the button is pressed it updates a variable in the cloud(firebase). The ESP8266 then recognizes that change and activates the garage opener. Finally the garage opens.
For the status the ESP8266 reads from an ultrasonic and if the garage is open the distance is about 35cm otherwise it is a couple of feet. So then if the status changes it will change a variable in firebase which will update the status. The flutter then reads and displays that data.
Challenges we ran into
ESP8266 communicate with garage motor
Slow flutter build times
Getting share form to work
ESP8266 with firebase
Flutter connect to firebase
TIME
Accomplishments that we are proud of
Pressing garage button and having garage open/close
Showing current status of garage
Connecting to firebase
What we learned
How to work with firebase
How to work with a team on github
Proper way to write code when working together
What's next for smart garage - by the brogrammers
Create an edit tool - allows you to remove or edit permissions of people who can open your garage
Login/signup page and 2-factor authentication for security
A settings page to allow users to customize their experience
Allow users to easily set up their garage through the app with the hardware included
We are interested in maybe even doing a
kickstarter
(once the app is more solidified)
Built With
dart
esp8266
firebase
flutter
Try it out
github.com | smart garage - by the brogrammers | We made a smart garage that from anywhere in the world you can control and view status! You can also give permission for anyone to open your garage. | ['Mason Horder', 'Trenton von Sosen'] | ['1st Place', 'Best Community Hack - $200 Bugsee Credit x 4'] | ['dart', 'esp8266', 'firebase', 'flutter'] | 0 |
10,386 | https://devpost.com/software/depthsense | Inspiration
Modern luxury cars often provide gesture control systems for their hardware and sound, that transform driving from just a necessity to an enjoyable experience. Our aim was to make a platform to expand these features into a universally compatible standard. DepthSense is designed to work seamlessly with any car, and will revolutionize the way we drive. DepthSense has significant advantages over voice control due to its extremely intuitive nature.
What it does
It is a mobile application that uses AI and camera vision to control basic smartphone functions such as playing music or making calls using hand gestures while driving. DepthSense uses advanced neural network models (TensorFlow.Js in a
MOBILE APP
) to estimate the hand pose in 3d space, and detect the corresponding gestures. It provides the following features:
Answering incoming calls
Making calls to predefined priority phone numbers.
Playing, pausing and skipping music on Spotify.
Listing phone and slack notifications.
How we built it
React Native with Expo for the mobile app.
Tensorflow.js with react native for the hand estimation models.
Spotify and Slack APIs with OAuth2 authentication.
Figma for UI design.
HTML + Vanilla Js for developing and testing gesture algorithms
Challenges we ran into
Getting TensorFlow.js to run our models on React Native was a significant issue that we solved by doing a custom WebGL driver configuration.
Getting the Spotify OAuth2 sign in to work seamlessly.
Doing lots of debugging in a short period of time.
Accomplishments that we're proud of
Getting extremely sophisticated and accurate machine learning models to work on a mobile app.
Creating a clean and responsive UI that is compatible with both Android and IOS.
What we learned
Pose estimation models with Tensorflow.js
Advanced React Native functionality
OAuth2 authentication flow.
What's next for DepthSense
Integrating with facetime and google duo.
Making it run as a background app, because many people who drive have google maps open.
Publishing it on the App store.
Built With
react-native
spotify
tensorflow
Try it out
github.com | DepthSense | A reimagined, gesture-controlled car experience. | ['Veer Gadodia', 'Nand Vinchhi'] | ['2nd Place', '2nd Place - HyperX RGB Alloy Core Gaming Keyboard', '2nd Place: Developer Category'] | ['react-native', 'spotify', 'tensorflow'] | 1 |
10,386 | https://devpost.com/software/warn | Inspiration
Recently, there have been numerous amounts of wildfires on the west coast of the United States. Over 150,000 acres of land and over 80 people have been lost due to the number of wildfires that have been happening recently. This problem is causing an unusual amount of deforestation in local areas. WARN helps solve this critical problem by providing a simple way to inform civilians of their surroundings to benefit their health. This mobile app can be used during this unprecedented time and after.
What it does
WARN is a mobile app that creates awareness for wildfires. The user can log in/register into the application which is powered by Firebase’s user authentication to make the authentication secure. The user can view the latest news about wildfires in real-time. They can also check their notifications in which they can view the air quality and the amount of pollution around them.
The user starts at the authentication where they can register or sign in if they have an account, powered by Firebase’s user authentication.
Dashboard Screen:
Once the user logs in, they can view their dashboard which will show their current location, the air quality outside and how good or bad it is, temperature, and heat maps of where wildfires have occurred, how bad the air quality is around you, the pollen in your area, and pollution around you.
Notifications Screen:
If the user selects the bell icon in the bottom navigation tab, they can view their notifications if there are fires near them, how the air quality is, if it’s pollen season, and if there's an abundance of pollution
Nearby Fires Screen:
Here the app automatically asks the user for their location and uses the location of the device to fetch from the fires BreezoMeter API and then listing out the results of the response array in the application in the UI presented there.
News Feed Screen:
Users can go to the news feed tab at the bottom, and view the latest news about wildfires in real-time. Users can view the articles and a modal will pop up showing the news article. Once it’s opened the user can share it with others who may find it useful or close it by tapping the X in the top left corner.
How we built it:
React Native
for the frontend
Firebase
for user authentication
Expo Workflow
for over-wifi deployment
Expo Location API
to retrieve the user’s location
Expo Reverse Geocode API
to receive the user’s location and retrieve relevant information
Breezometer Fire API
to retrieve information and data about wildfires in the country
Breezometer Air Quality API
to obtain the quality of air around the user
Breezometer Pollen API
to fetch where the pollen levels are high
Breezometer Pollution API
to acquire the level of pollution around the user to make sure it’s safe to go outside
Figma
for UI/UX design
Challenges we ran into
We ran into many challenges and technical bugs, but that is what programming is all about. The first challenge we ran into was creating a modal for the users to view the articles, as we haven’t used it before. Another challenge we ran into was figuring out how to display the data into a heatmap.
Accomplishments we are proud of
We are proud of so many things. We made use of this project to the best of our abilities in the allotted time. We got to use several different APIs, which is something that we haven’t dabbled in too much. After seeing how much information they provide, we plan on using it more often. Additionally, we combined all of our skills to create a mobile app that has multiple features and we are proud of this app. We love the UI/UX and we love the backend. Finally, we are proud of the amount of work we pulled off in the given time. We would have never thought we could accomplish this much in such a small amount of time.
What we learned
Displaying data in heatmaps
Retrieving a user’s location to display relevant information
Script
INTRO
Recently, there have been numerous amounts of wildfires on the west coast of the United States. Over 150,000 acres of land and over 80 people have been lost due to the number of wildfires that have been happening recently. This problem is causing an unusual amount of deforestation in local areas. WARN helps solve this critical problem by providing a way to inform civilians of their surroundings to benefit their health.
LOGIN/REGISTER
When the user visits the app, they can choose whether they would like to login or register. After they login/register, they get to the dashboard where they can view numerous things such as their location, air quality, temperature, and heatmaps of fires near them, the air quality around them, how high the pollen level is, and the level of pollution near them.
DASHBOARD
This is where you. can navigate to the area that pertains to you most. Additionally, it shows your current address and details regarding AQI using BreezoMeter API. Additionally, there are four heatmaps which are a great visual graphic for things like pollution, congested areas with fires, and pollen concentrations. Additionally, you are able to access details such as health recommendations and other such features shown in the video pertaining to AQI.
NOTIFICATIONS
If you select “Notifications”, the user can view their notifications, which they set, if there are fires near them, how the air quality is, if it’s pollen season and if there's an abundance of pollution.
FIRES NEARBY
Once again, using the location services from your phone the app automatically uses your longitude and latitude and fetches the API request using that particular longitude and latitude, From there, the results are retrieved and displayed in front of you within a matter of seconds.
NEWS FEED
For the news feed tab, we are automatically presented with the most reliable and latest news in relation to wildfires to help users become more informed regarding what is happening around them. This includes the ability to find fires reported nearby and find guidance through the news from your local authorities.
Users can go to the news feed tab at the bottom, and view the latest news about wildfires in real-time. Users can view the articles and a modal will pop up showing the news article. Once it’s opened the user can share it with others who may find it useful or close it by tapping the X in the top left corner.
CONCLUSION
In conclusion, if this project was implemented it can help many civilians by allowing them to benefit their health and save lives in the process. Thanks for reviewing our project!
Side Notes
Due to merging and issues with GitHub we were having initially, we used google drive. It only shows one commit because my teammate and I were collaborating over Google Drive.
Built With
breezometer
expo-location-api
expo-workflow
figma
firebase
google-cloud-messaging
native-base-ui
react-native
Try it out
github.com | WARN | Where people get warned about fires | ['Srikar Kusumanchi', 'Om Joshi'] | ['3rd, 4th & 5th place'] | ['breezometer', 'expo-location-api', 'expo-workflow', 'figma', 'firebase', 'google-cloud-messaging', 'native-base-ui', 'react-native'] | 2 |
10,386 | https://devpost.com/software/icensor | iCensor
extension
Inspiration
As more and more people are using the internet more content gets released. This content may be offensive, mean, or just fake. The goal of iCensor is to make sure that you will be happy with the content that you see.
What it does
iCensor is a chrome extension that filters inappropriate content on the pages you see. It will automatically censor all slurs, swears, etc. You are also able to customize what it should censor. It also provides a blacklist that you can customize.
How I built it
I used the chrome-api to be able to build chrome extensions. I then used html/css/js and interactions to the chrome-api to build the extension.
Challenges I ran into
The largest challenge I ran into was making sure that the content on the page gets replaced without a noticeable delay. I eventually figured it out using regex.
Accomplishments that I'm proud of
I am proud of completing my first working chrome extension.
What I learned
I learned how a chrome extension works and how to utilize the chrome-api to make the extension interact with the user's DOM.
What's next for iCensor
Currently iCensor censors inappropriate words/phrases, but in the future I would want iCensor to also be able to censor images/videos if they are found to be inappropriate.
Contact me
Contact me through email at
denniszax32@gmail.com
Or on discord DedS3t#8252
Built With
chrome
css3
html5
javascript
regex
Try it out
github.com | iCensor | Make sure you are happy with the content you see! | ['Dennis Z'] | ['3rd, 4th & 5th place'] | ['chrome', 'css3', 'html5', 'javascript', 'regex'] | 3 |
10,386 | https://devpost.com/software/q-up | Select a place of your choice to Q UP with real time updates of people waiting at stores
Q UP by issuing a ticket!
Get your ticket scanned to enter and exit at the store
Access all your tickets in one place with live updates of your spot in the Q
Inspiration
Recovering and returning to normal in the face of COVID is not easy, especially when we now have restrictions on customer occupancy in stores. People will have to wait in long lines outside, thereby putting themselves at risk. Q-UP was made to solve this problem.
What it does
Q-UP lets you wait virtually using our mobile app within the comfort and safety of your home or car. To do so, a customer can book themselves a spot in a virtual queue and simply enter the store using the generated ticket when it's their turn!
How I built it
Built with ❤️ using Dart, Flutter and Firebase.
Challenges I ran into
Our app considers both the customer and the business. Therefore testing the app with two phones (one to generate customer ticket, and the other to scan the ticket as done by a business) was challenging.
Accomplishments that I'm proud of
Getting real time updates to work with Firebase was intense, to say the least and is something we are proud to have accomplished :)
What I learned
Learned a lot about thinking about an app from different perspectives since we had to take into account about the customer as well as the business.
What's next for Q UP
We would love to scale up this app and prove its worth beyond the context of pandemic by enabling people to make their waiting time productive!
Built With
dart
firebase
flutter
google-cloud
Try it out
github.com | Q UP | Your phone waits in line so you don't have to. Virtual Queuing in the age of covid is necessary to ensure safety of customers, and even beyond the pandemic by making your waiting time productive! | ['Adithya T. Praveen', 'Dhruv Duseja'] | ['3rd, 4th & 5th place', 'API World 2020 Overall Winner', 'Best Use of Google Cloud - COVID-19 Hackathon Fund'] | ['dart', 'firebase', 'flutter', 'google-cloud'] | 4 |
10,386 | https://devpost.com/software/pathfinder-yw78fq | SplashActivity
LoginActivity
RegisterActivity
HomeActivity
LocationsActivity
Inspiration
We were inspired by local small businesses, some of them run by friends of ours, and how they were dealing with many challenges due to the COVID 19 pandemic. We wanted to help them recover from the economic recession, so we came up with this app.
What it does
Our Android and IOS app, PathFinder, small businesses and delivery drivers to maximize revenue by minimizing delivery times through route optimization.
How we built it
This project was built using a variety of tools. Our main app was made using React Native and Javascript in order to allow for cross platform functionality. This allowed us to create the different activities seen in our app and display all the different information we needed. We also used React Native maps to display routes and locations, which implements google maps for android and apple maps for IOS. Then, bing maps and open street maps were used to develop and algorithm to find the most efficient route for a delivery driver to take based on the start and endpoint (which would be the restaurant) as well as the stops along the way. The backend we used was a LAMP stack where we wrote php code to interact with the mysql database. In our React Native app, we sent various requests to the backend which were stored in the database for later data retrieval, which is how we stored things such as user info. We also used many unique tools to write cleaner code. For instance, we used OOP for the different activities, which allowed for easy manipulation of related code.
Through the project, we learned a lot about the different strategies to efficiently code and this allowed us to gain a better understanding of React Native apps and LAMP stacks.
Challenges we ran into
We are a new team, and we ran into a couple challenges early on in the project. The first challenge was when we had to set up a user database, which we did using mySQL and PHP. Databases are very complex, so it took a while before we got the hang of it and got the backend up and running. Another challenge we faced was using React Native. It is our first time using React Native to implement cross platform functionality, and we had some trouble making sure the Android and IOS version of the app acted in the same way with similar functionality and interactions. In addition to this, we struggled with many components in our app including the list views. Sometimes the list views were not displaying what we wanted it to display, and the refresh button wasn't working, so that took a lot of debugging before we finally solved the problem. React Native UI was a very big problem we had while developing our app, as there are so many different ways to style and format your interface, and not all of them work in harmony. The React Native maps also took some time to set up, as it needed to take information from the database in real time, and provide users with optimal routes using the algorithm we derived from open street maps and bing maps spacial data services. These challenges took us hours, and some maybe even days, to overcome.
However, we worked around the clock to ensure our product has the polish to meet the high quality standard we set for ourselves, and we are glad to present our app to you all.
Accomplishments that we're proud of
Since we are a new team, there was a lot to be proud of after finishing this project. This hackathon has given us so many opportunities we previously did not have. We were able to seize these opportunities, and achieve what we set out to do. Many of us are beginner hackers, and were not confident we would be able to produce a product of such vast scale, so finishing it was a great attainment for us. Another one of our biggest accomplishments was to set up a working database, which was extremely efficient in storing user information. This made sure our algorithmn was able to give us accurate routes, as well as the most efficient route. Our algorithmn as a whole is what we would say is our biggest achievement, and the entire app revolves around it to give users the best possible experience.
What we learned
We learned many valuable skills in the process of developing our app. We learned how to use SQL Databases to store user and app data and how to use Adobe XD to implement and design professional UI. The most important thing we learned was how to use spacial data services provided by bing maps as well as open street maps to derive a sufficient algorithmn to provide users with a crucial tool in their delivery services.
What's next for PathFinder
Due to the limited time frame we were given, there are still so many more features we would like to add to our app. First off, we would like to implement a profile page for delivery drivers and other restaurant workers/managers in order to connect them within their business. We also plan to implement a system where restaurant owners and managers will be able to sign up for a different type of account and view the various delivery drivers working for them, and check how those drivers are doing by viewing driver location on the React Native Map and account for any mishaps along the way. The restaurant owner/manager will then be able to more accurately supervise delivery of their meals or products, which will overall boost revenue as well as customer satisfaction and loyalty.
Built With
adobexd
bing-maps-spatial-data-services
expo.io
git
github
javascript
json
lamp
linux
ngrok-tunneling
npm
oop
open-street-maps
php
phpmyadmin
react
react-native
react-native-maps
sql
yarn
Try it out
github.com
github.com | PathFinder | Leading the way for small businesses | ['Ryan Teoh', 'larry zhi', 'Aaron .', 'Andrew Zheng'] | [] | ['adobexd', 'bing-maps-spatial-data-services', 'expo.io', 'git', 'github', 'javascript', 'json', 'lamp', 'linux', 'ngrok-tunneling', 'npm', 'oop', 'open-street-maps', 'php', 'phpmyadmin', 'react', 'react-native', 'react-native-maps', 'sql', 'yarn'] | 5 |
10,386 | https://devpost.com/software/patient-health-history-record-system-9synzk | We have developed a project for the public health area that aims to serve the poorest population. The project deals with the management of historical patient data. The idea is to develop a Data Lake (a repository of structured, semi-structured and unstructured data) that stores patient data. The advantage of Data Lake is that it is possible to associate with structured data (an existing database), unstructured data such as exam images, etc. In addition, it is possible to apply machine learning techniques to this data. It is a data integration environment without all the cost of multidimensional databases such as Data Warehouses and Data Marts. From that Data Lake, the plan is to develop a system that is able to manage / query the data. In short, an updated, reliable, secure and managed database with data and information by patients and their doctors. The use of Data Lake technology means that this project can be used anywhere in the world in the same way. Finally, we can use public health in disease control in a coordinated way worldwide and directly help those who need it most in times of pandemic, in addition to being able to project future disease outbreaks through artificial intelligence and mathematical projection models.
Built With
blockchain
datalake
flutter
sql
Try it out
github.com | Patient Health History Record System | Take your life wherever you go | ['Jose Alexandro Acha Gomes'] | [] | ['blockchain', 'datalake', 'flutter', 'sql'] | 6 |
10,386 | https://devpost.com/software/safehealth-cnaib8 | Inspiration
Because we are in a pandemic by covid-19, we built this project to help other people stay informed about covid-19. SafeHealth was created to let people be aware of which locations have high covid-19 risks as well as how to stay protected.
What it does
We have created a website called SafeHealth that helps with the efforts to control the pandemic by guiding the community to maintain hygiene like handwash, awareness of daily cases and spread across the nation, listing the must-have items to be safe during covid-19.
How we built it
We have used HTML, CSS, and Javascript to develop this website. It requires users to signup and login to have access.
Challenges we ran into
It was a challenge to design and implement a login page to add a feature that lights up the box when the user clicks on it.
Accomplishments that we're proud of
We are round to help the community and enhance our learning and ability to achieve website development.
What we learned
We learned how to create a login page and sign up page.
What's next for SafeHealth
We would like to add more features like new recommendations from the CDC and progress on the vaccine development and distribution.
Built With
css
html
javascript
Try it out
github.com | SafeHealth | SafeHealth is an website/app that guides everyone to be aware of how to stay safe during covid-19. | ['Sanjitha Manivelan'] | [] | ['css', 'html', 'javascript'] | 7 |
10,386 | https://devpost.com/software/mdhackshacks | Overwrite/Existing. Part 1
Overwrite: Enter students names to input into text file
Enter in students names that were present
Display present and absent students. Also display students that aren't supposed to be in the class
Students text file
Inspiration
We wanted to build something on education, and then one of our team members came up with the idea to build an attendance system, that could be later expanded upon to google meet so teachers can easily mark their students present.
What it does
At first the user is prompted with a message to use an existing file or overwrite the current file to write a new one. Overwriting a file will write the names that the user inputs into a new students text file while choosing "existing" will grab the text file with the students name written in it. Then the user is prompted to enter the names of students that were present during the class. Using the information from the students text file the program then calculates which students were absent, present, and not part of the class.
How we built it
We programmed this program using repl.it
Challenges we ran into
We were faced with multiple exceptions that we didn't recognize so we have to do a lot of researching to be able to find the problem and solve it.
Accomplishments that we're proud of
We're proud of being able to solve different errors that we haven't run into and get our code to successfully compile and run.
What we learned
We've learned about reading and writing to files using Java, it was a new concept that we wanted to experiment with that went pretty well.
What's next for MDHACKSHACKS
We want to later expand it to turn it into some type of GUI that can then be used by google meets to make attendance easier for teachers in this world of online learning.
Built With
java
Try it out
github.com | MDHACKSHACKS | A simple attendance checking system to be used by teachers. Teachers can create a new file to save their students names too and then during school teachers can check which student as present or absent | ['Tobi Ijiyemi', 'Visu Vasa', 'Yash Santhosh'] | [] | ['java'] | 8 |
10,386 | https://devpost.com/software/classtasks | The main page of the site
The sign in page
Inspiration
In this world of virtual school, many students have trouble managing work and the different platforms they are on. Our web app,
What it does
ClassTasks allows students to put all of their assignments and classes in one easy to find place. Our app allows students to track their assignment progress and keep track of their work to make sure they get it done on time. Tasks are sorted into their respective classes and sorted by their status, making it easy to keep on top of schoolwork.
How I built it
When building ClassTasks, we utilized React.js for the front end and Firebase for the backend. Within Firebase, we used cloud functions for data handling, firestore for data persistence, authentication for managing users, and hosting for hosting our web app. We also used React.js to make the UI which consists of many pages for displaying the data and user management. We also used the Firebase SDK for connecting to the backend for using https callable functions.
Challenges I ran into
We ran into several bugs while making this project, and the complexity of the project often made them difficult to resolve. Troubleshooting issues such as tasks disappearing or not staying deleted required watching what was going on in both the front-end code and the back-end code and Firestore storage.
Accomplishments that I'm proud of
We are proud of the appearance of the website, getting the styling to look good and clean took a lot of work. We are also proud of how well the to do part of the site works, with lots of functionality in addition to a user based data storage system.
What I learned
During this project, we learned about React.js and Firebase. We learned how to use React.js as the frontend for a multipage website with fairly complex functionality. We also learned how to use Firebase to store data, host a website, and handle authentication of users. Using React and Firebase together was also something we’d never done before and was able to learn through this project.
What's next for ClassTasks
In the future, we would like to add integrations with existing education applications like Microsoft teams. Being able to automatically import assignments and have a schedule system, for example, are two ways we might do this. We would also want to add more features for teachers, like allowing them to invite students to a class and automatically give all their students tasks.
Built With
cloud-functions
firebase
firebase-hosting
firestore
node.js
react
Try it out
synthackstodo.web.app | ClassTasks | A to-do app with tasks split into classes designed for students. | ['Maxwell S.', 'Sammy Taubman', 'Ashley Redhead'] | [] | ['cloud-functions', 'firebase', 'firebase-hosting', 'firestore', 'node.js', 'react'] | 9 |
10,386 | https://devpost.com/software/quick-leisure-ebm3dc | Tips
Quotes
Jokes
Fun Facts
Inspiration
We were inspired to make our webpage because our friends always complain that they have nothing to do during this quarantine. This gave us the idea to make and website where people can chill in their quick breaks
What it does
Our website gives random quotes, jokes, facts, and tips for the user to see.
How we built it
We built it using HTML, CSS, and javascript on repl.it
Challenges we ran into
Some challenges we faced were how we were going to store all our data. We decided at the end of the day to store it in variables.
Accomplishments that we're proud of
We are proud that we have made a functioning website in less than 48 hours.
What we learned
We learned more functions in javascript and more features in HTML and CSS.
What's next for Quick Leisure
We will try improving how our data is stored and try using a real database.
Built With
backplane-javascript
css
css3
html
html5
javascript
repl.it
Try it out
quickleisure.repl.co
github.com | Quick Leisure | Our web page is a place where one can go to when they are taking a break and want to have some entertainment. It provides a user with jokes, motivational quotes, daily tips, and fun facts! | ['Ronit Patel', 'Neev Saraf'] | [] | ['backplane-javascript', 'css', 'css3', 'html', 'html5', 'javascript', 'repl.it'] | 10 |
10,386 | https://devpost.com/software/tutorone-pw7a5s | Simple UI/UX
Childish look to encourage the children to use it
Shows users how to draw each letter
Uses advantage of inbuilt scanner to scan the letters
Inspiration
I have been reading a lot of articles that have highlighted the effect that technology has on the motor capabilities of the hand. Toddlers are struggling to hold pencils properly and I decided that I should code something that help toddlers hold a pencil and teach them how to write alphabets. This will give them a foundation to their basic education at a very early age! The app helps them transition from the tech world to more physical world with paper and pens.
What it does
The app basically lets you chose an alphabet and then shows you how to write/draw the alphabet. After you draw it, you can scan it and the app will detect if you did it right or not. The app aims to challenge toddlers into attempting to learn alphabets. There are multiple animatic, cartoonish-looking alphabets to chose from and tutorials are slow and repeating so that the toddlers can easily follow without struggling.
How I built it
I used the google UI tool kit, flutter. I also used dart to code the back end and the interface as a whole. The app works on android OS and is in apk format. I had to use multiple plugins and import them to my
.yaml
file such as
camera
. The assets I had were all fair use and saved locally in my
assets
folder. I had to import them through my
.yaml
as well.
Challenges I ran into
Android is a very tricky ecosystem to work. I soon learnt that a lot of settings had to be tweaked to make certain lines of code work. Also, I had to update multiple files to make sure that my API number is high enough to run the code I needed it run. The app was also quite unstable at first and I had to code
on_exception
and other types of code to stop it from crashing and running into dead ends all the time. I also faced a lot of problems from the app permission and how to configure my
androidmaniest.xml
file.
Accomplishments that I'm proud of // What I learned
This is the first time I have completely a hackathon alone and I am very proud!
My understanding of android, dart and flutter also significantly increased. This app particularly thought me on how to sync the front end to the back end effectively and limit the amount of processes happening at one time so that the app can run smoothly.
What's next for TutorOne
I will be updating the app frequently to make sure the app is optimized and will also pursue many other features.
I want to add more key features into the app such as:
Numbers
Reward System
Tutorials detailing how to hold a pencil.
Built With
android
camera
dart
flutter
Try it out
github.com | TutorOne | Paving your toddler's road to success one letter at a time! | ['Sarvagya Somvanshi'] | ['Best Education Hack - Wolfram Pro account x 4'] | ['android', 'camera', 'dart', 'flutter'] | 11 |
10,386 | https://devpost.com/software/candidate-comparison-zr7awj | Resources Page
Comparison Page
Home Page
Inspiration
Our inspiration for the project was the 2020 Presidential Election. We wanted to provide a space where voters could look deeper into both presidential candidates.
What it does
The website provides a simple program which provides the candidates' stances on five specific topics. There are a number of linked resources to share more information.
How I built it
The base of the page is built with HTML and designed with CSS. The comparison portion is built using Python on Repl.It.
Challenges I ran into
We ran into the challenge of time. Life has been hectic, but we made it work.
Accomplishments that I'm proud of
We're proud of the aesthetic of our website.
What I learned
We learned more about the specific ideas of both Donald Trump and Joe Biden.
What's next for Candidate Comparison
We can update this website for future elections and expand beyond just presidential candidates.
Built With
css
html
python
Try it out
github.com | Candidate Comparison | This is a site created before the election to encourage voters to find the candidate that aligns most closely with their personal views. | ['amelia-otto otto'] | [] | ['css', 'html', 'python'] | 12 |
10,386 | https://devpost.com/software/universal-a-secure-and-powerful-data-transfer-repository | The Website Sign In Page
Organization Transfer Code Authentication Screen
Website Dashboard for Organizations
Mobile Sign Up Page
Inspiration
The occurrence of the COVID-19 pandemic has had an immense impact on our reality. Safety and hygienic measures have been heavily implemented throughout all public settings ranging from workplaces, restaurants, to even medical facilities, though one common form of communication remains to be safely conducted. Our team was intrigued by the idea that information transmission currently consists of a strong amount of physical contact, increasing the risk of transmitting the virus. Filling out forms has become a frequent and repetitive process with consistent requests usually based around details such as; Name, Phone Number, Email, etc.. . Often the information is then typed into an online software by an employee at the facility, which is a very ineffective approach to keeping track of visitors.
What if we could share essential forms of input through a united application/web platform, enabling a safe and efficient way of transferring details through a request-based system. Consisting of a powerful thoroughly authenticated process, we can revolutionize the world of data transfer, and potentially prevent an uncountable amount of people from contracting the virus.
What it does
Universal is an immersive & easy-to-use platform allowing the transfer of personal data to required services through a third-party request system. Utilizing two-factor authentication with the assistance of Google Firebase, every individual on the platform has a unique code identifier (UCI) which automatically updates on a 30-minute interval system to ensure the highest level of privacy. As a request for information is made, the user must input their UCI into the alert field and all of the required details will be automatically transferred to the request maker’s screen. Any additional information required will appear on the user’s device prior to data submission and can be conveniently filled out through one’s personal device.
The concept exceptionally eliminates all forms of contact, heavily reduces wait times & lineups, and overall is the perfect solution to increasing safety in our communities.
How we built it
For wireframing, our group used Figma, Dribbble and other design tools and inspirations. Universal was mainly built with standard HTML, CSS and JS. Our group was quite familiar with these technologies and was able to use them quite well. Our group also utilized Google Firebase’s JavaScript SDK for Authentication and Cloud Firestore for user management and database use. Finally, to develop our mobile app, we utilized Adobe Phonegap to build with standard web development technologies.
Challenges we ran into
One challenge our group faced was during the ideation process. Our group formed many quality ideas that were worthy of use. However, while analyzing the ideas we encountered many flaws which caused us to have to reevaluate our options. In order to form the best idea, extensive brainstorming was required which was very time-consuming. Also, we found it difficult to prioritize the screens that needed to be coded over other screens and also faced difficulty in predicting the tediousness of our front-end phase.
Accomplishments that we're proud of
Our group is quite proud of our web app and mobile app’s design and fluidity of user experience. We are also proud of our use of Firebase, since 50% of our team is new to development and had to learn how to utilize Firebase through the JavaScript SDK from scratch. Finally, what we are likely most proud of is our ability to finish our project in time for submission and have a final project to show for our work.
What we learned
Our group learned many new features for HTML, CSS and JS, but most importantly we learnt how to work well as a team and also how to divide our time and work for the most efficiency. Before we were working as four solo members but once we realized that we were behind schedule we learned that we needed to work as a team in order to finish off our application. We also learned that the divide and conquer method would be the most efficient method to finish off the project. So we divided up the different components of the project and assigned it to each member.
What's next for Universal - A Secure and Powerful Data Transfer Repository
In the future, Universal will be supporting employees and individuals on its web platform as well as its mobile version. This will allow easy access for employees to connect to their respective organizations or places of work. Also, we plan to work on integrations that will allow organizations to analyze and take their customer/employee data from Universal and move it to other analytical and storage software.
Built With
bootstrap
css3
firebase
html5
javascript
Try it out
github.com | Universal - A Secure and Powerful Data Transfer Repository | Filling out paperwork is ineffective, and frankly dangerous in COVID-19 times. That’s why Universal acts as your go-to data repository that can transfer information in a safe and secure format. | ['Yadushan Thurairasa', 'Harshith Latchupatula', 'Yash Kapoor', 'Vishnudev Poil', 'Vikram M'] | ["People's Choice", 'Second Overall'] | ['bootstrap', 'css3', 'firebase', 'html5', 'javascript'] | 13 |
10,386 | https://devpost.com/software/covid-policy-recommender | Inspiration
COVID policy decisions are typically tainted by public opinion and personal desires. Even rich and well established governments have had trouble containing the spread of COVID-19. This AI model is able to make policy decision based on what has been optimal at lowering infection rates.
How I built it
This Neural Network was coded from scratch in java using only a matrix multiplication library. Nine data points are taken to represent a country's given COVID situation. These input values are scaled between -1 and 1 and are then fed through the network.
The loss function is computed using infection rates 10-14 days after a given policy is enacted. This optimizes the network to minimize infection rates through its policy decisions.
Challenges I ran into
I had to spend the majority of time formatting data. It would have liked to give the model more training time.
Accomplishments that I'm proud of
Our neural network was successful at general tests like XOR and MNIST.
Our neural network was able to make sensible policy recommendations based on a county's COVID data.
In the future I want to continue running tests to gauge the models accuracy. I also would like to train it for longer and with more data.
Code can be found at:
https://github.com/ttenneb/Covid-Policy-Recommender
Built With
java
Try it out
docs.google.com | COVID-19 Policy Recommender | A Neural Network that takes in data about a country's current COVID-19 situation and makes objective and optimal policy recommendations. | ['Ben Garcia', 'Danielle Mangabat'] | [] | ['java'] | 14 |
10,386 | https://devpost.com/software/scanlator | Inspiration
Many ingredients in cosmetic products are harmful but not banned by the FDA. We want to create an app that can inform the consumers about the potential dangers of the ingredients in the products they are using, so they can make the best choice that suits their personal needs.
What it does
This app has a user-friendly interface.
To use, as soon as you open the app, you will have options to choose one out of three categories shows on the home screen.
After you choose your option, the app will redirect to your device camera, where you can take a photo of the ingredients locating on the back of the product.
The app will then scan those ingredients, find information from trusted articles on the web, and use natural language process to determine whether they are good or not.
Base on your preference, you can learn which ingredient is good, neutral, or needs some caution when using.
How we built it
We used various Python libraries for web scraping and natural language processing like Vader sentiment and newspaper. We used flutter and dart for app development, google vision API and Firebase Machine Learning kit for text recognition.
Challenges we ran into
We used vision API and ML Kit for the first time, so there were some technical difficulties in integrating that in our flutter app.
What we learned
It was our first time using natural language processing and firebase ml kit. We learned to work as a team, troubleshooting the problems together, and utilize each person's strengths and weaknesses during this hackathon.
What's next for Wassgood
We are considering adding more features to the app:
Increase the number of options for the consumers to choose from.
Allow user import the photo from existing photo library.
Built With
android-studio
dart
firebase-ml-kit
flutter
google-vision-api
python
Try it out
github.com
colab.research.google.com | Wassgood | Know what to put on your skin or body with just a click (What is good?) | ['Akanksha Singh', 'Himanshu Janmeda', 'My Linh Do'] | ['1st Place - AirPods'] | ['android-studio', 'dart', 'firebase-ml-kit', 'flutter', 'google-vision-api', 'python'] | 15 |
10,386 | https://devpost.com/software/supply-spot | Inspiration
Due to the coronavirus pandemic, It is mandatory to follow social distancing measures. Not to mention, some countries went under complete lockdown. The phenomenon of the drop in voluntary donation has been noted in many countries across the globe. In Saudi Arabia, hospitals noticed a significant drop of 40% in blood bank-based collections.
In light of this, we have built a mobile app that provides an immediate blood supply to urgent situations.
What it does
2 user interfaces:
Blood donor:
enter his/ her information such as contact information, blood group, and distance he/ she is willing to travel to donate blood
Blood bank:
register on the app and send a push notification whenever they're in need of blood
Blood donors will receive notifications according to their blood type and location
Features
Users can to register for an account or log in
Users will need to upload their blood donation document for blood type record
On the home page, users can indicate their geographical locations and blood type
If a user wants to donate blood, he/ she can create a post by filling in the details accordingly.
How we built it
High fidelity wireframe and UI designing using Figma,
After finalizing the features and pages that we wanted, we used Figma to plan out what our application looks like.
Kodular for mobile app development
One of our developers created all of the presentational components, styling, navigation, and created the logic which stores and retrieves information into Firebase.
Firebase + Google Cloud Platform for back-end development
Firebase is backed up by GCP's very secure storage and is used to store a user's login credentials, profile, and settings
Challenges we ran into
Time zone was a challenge, as we have 3 different time zones and not all developers are awake at the same time. However, we are able to overcome this through effective communication and planning.
Accomplishments that we're proud of
We have completed the
UI design
and built a fully
functional app.
What we learned
We learnt a lot using firebase for back-end development, android app development and enhanced coding skills. Also We Learnt TEAM WORK
What's next for Supply Spot
Future Updates
Making the project available to all platforms to target a greater audience
Adding new features like geographic API and enable GPS location tracking
Built With
figma
firebase
google-cloud
kodular
Try it out
www.figma.com
drive.google.com
drive.google.com
github.com | Supply Spot | Facilitating immediate blood supply to urgent situations | ['Ava Chan', 'Keshav Majithia'] | [] | ['figma', 'firebase', 'google-cloud', 'kodular'] | 16 |
10,386 | https://devpost.com/software/girls-in-tech-the-game | Inspiration
As a leader and a member of our school's Girls Who Code club, we wanted to make a project that was both fun and informative, bringing to light the unique experience of being a girl in the tech industry. The stark gender gap in representation of women and men in tech(25% versus 75%) results in a myriad of both internal and external challenges for the minority. As a result, we created this website and game to bring awareness to the often-unspoken struggles faced by female programmers, both to validate their uphill battle, and to enforce the notion that they are extremely resilient, strong, and talented.
What it does
We built an interactive html webpage describing the context and impact of the game, with headers along the side that allow the user to navigate to different sections. On one tab, there’s a processing graphics-based game embedded that the user can play. The game itself employs use of the keyboard arrows to move and dodge obstacles falling from the top of the screen. There is a score counter, and the speed of the blocks increases as the count gets higher, and there is a replay option triggered by a keyCode function. The site itself brings awareness to the struggles faced by girls in tech, and acknowledges them.
How we built it
As Cordy had more experience with html, and Marissa had more experience with Processing, we combined our strengths by dividing and conquering. Individually Cordy built the website’s base and stylized it in html, while Marissa made the game’s foundation in Java Processing. Marissa then converted the game into p5.js so that Cordy could embed it on the website, and we tested it for bugs. Lastly, we worked together to research and write up the text for the sections of the website.
Challenges we ran into
We ran into a few difficulties as we created this project, both individually and when it came time to combine our two pieces. On the game end of creation, Marissa originally wrote the program for the game in Java, but then realized as she looked for a way to embed it, that she needed it to be in Javascript. Thus, she had to spend time figuring out how to translate the code into the new language, and ran into troubles when things did not map over directly. On creation of the website, Cordy struggled to get pictures into the webpage, but eventually figured it out. When it came time to embed the game, we weren’t sure how to resize it, but with help from the internet and some creative problem solving, we worked it out!
Accomplishments that we're proud of
As we mentioned before, it was difficult to combine our two aspects of the project, and it took a lot of work on both ends to figure it out. At one point, we almost considered just making the game a separate link, but in the end, we got it to work! Now, the game is directly embedded into the webpage, seamlessly and functionally, which is very cool. Neither of us had done anything like that before and so we were both excited to learn something new and make something that looks great and works well.
What we learned
We learned much from a strictly technological standpoint, Marissa learned how to translate code from one language to another, and she worked with Javascript for the first time during this hackathon. She learned the differences in syntax and functionality, and how to use online reference libraries when working with a new language. Additionally, Cordy learned how to embed iframes and images in html, and how to resize them to fit the screen. She employed use of online tutorials and tech websites to figure out how to do this and succeeded in embedding the game and multiple images. From a research standpoint, we also learned more about the struggles faced by girls in tech, as some of them we, as girls in tech, hadn’t known about before.
What's next for Girls in Tech: The Game
Once you play the game a lot of times, it gets a little boring, but overall, there are a lot of directions we could take to make the game more complex, fun, informative, and interesting. One way the game could be improved would be by not just focusing on dodging the negative struggles, but also focusing on collecting the positives. We would make a function that allows you to collect good squares that reference real-life benefits of being a girl in tech, while still avoiding the bad ones. We could also make a life-counter, that allows you to be hit a certain number of times before dying. Another route we could take would be to make the game have more levels based on obstacle and player speed, and we could include different types of obstacles to keep the players satisfied and engaged. The players would then have to learn different strategies to be at each level. We could also, at some point make it a two-player game so that it teaches group work, or add a timer by which the game must be completed within. If we wanted, we could even turn the whole project into a mobile app.
Built With
atom
html
javascript
p5.js
processing
Try it out
github.com | Girls in Tech: The Game | Did you know only 25% of the tech industry is female? Girls in Tech: The Game is a project that seeks to raise awareness of the challenges that women in technology face and to lift up girls in tech! | ['Marissa Shaffer', 'cordelia pride'] | [] | ['atom', 'html', 'javascript', 'p5.js', 'processing'] | 17 |
10,386 | https://devpost.com/software/social-distancing-alert-70e2kf | Social Distancing Alert Recognizing People and Warning to Maintain Distance
Inspiration
During the Covid-19 situation, getting outside is a rarity. With the continuation of rising Covid-19 cases, the importance of social distancing, when we do go outside, is rising as well. In enclosed spaces and rooms, including doctor's offices, school classrooms, malls, and more, there is limited ventilation and limited space making it more difficult to maintain social distancing and one may not even notice when someone is less than six feet away from them. The problem worsens as winter approaches. As we enter flu season, our immunity levels are lower from spending most of our time at home for the past few months, putting people in a higher risk for getting Covid-19 from others. The only way to reduce this risk is to social distance and this problem inspired me to build Social Distancing Alert to help people stay safe and maintain social distancing.
What it does
Social Distancing Alert is an application that can be run on one's phone as soon as they enter a room. The application will connect to a camera in the room and monitor the room. As it monitors the room, the application provides 2 alerts. Based on the size of the room, the application will calculate the largest amount of people that can be in the room and maintain social distancing. After this calculation, the application will count the number of people in a room and send an alert when the number of people in the room cross the threshold. Another task the application completes as it watches the room is to monitor the room for social distancing. The application calculates the distances between people in the room, as soon as a person moves closer than 6 feet to another person, the application sends an alert that warns to maintain social distancing.
How I built it
I built Social Distancing Alert with Python using OpenCV.
Challenges I ran into
I ran into trouble with merging the back-end, the OpenCV aspect, and the front-end, the website. However, I was able to research and find out how to implement both through using Flask.
Accomplishments that I'm proud of
I am proud that I was able to create a project that helps towards the efforts of staying safe and isolated during the Covid-19 situation. Although I couldn't create a website, I was also proud that I was able to learn and implement skills that included merging a website, for front-end, and python code, for back-end, to produce this project.
What I learned
As mentioned above, I learned more about the capabilities of OpenCV as well as how to implement it with front-end.
What's next for Social Distancing Alert
I would like to further improve Social Distancing Alert by optimizing the program to detect social distancing between people in larger and more open spaces. I would also like to improve the project so that when the camera does detect people that aren't social distancing, it sends a signal only to the two people who aren't social distancing and not to everyone that has the app open. Furthermore, I would like to implement this project as an app as well as a website to allow for more convenience for users.
Built With
opencv
python
Try it out
github.com | Social Distancing Alert | Maintaining Distance and Building Community | ['Diya Dinesh'] | [] | ['opencv', 'python'] | 18 |
10,386 | https://devpost.com/software/covid-19-tracker-e2b0ga | Home page
Inspiration
Having alot of data being collected about covid-19 cases and not having it displayed for people to view from different countries
What it does
It displays the information about the covid-19 active cases, deaths and recoveries in realtime from different countries around the world
How I built it
I used reactjs to build the frontend and an external api to provide the data
Challenges I ran into
I faced a challenge with some bugs in the reactjs libraries used
## Accomplishments that I'm proud of
I managed to complete the project fully
## What I learned
I learnt to not give up even when i have challenges
## What's next for covid 19 tracker
Next is to provide location to where to take people for treatment of covid-19 in respective countries
Built With
react
Try it out
covid-19-app-17f14.web.app | covid 19 tracker | This is a project that aims at providing real time information about the covid-19 active cases, deaths and recoveries for each country around the world | ['Oburusule Dunstan'] | [] | ['react'] | 19 |
10,386 | https://devpost.com/software/e-commerce-online-shopping | Item detail page
Home Slide Show
Cart Page
Order Page
http://onlineus.info/MDHACK/detail/22
Home Slide Show
Shop online at any time. You don't need to struggle before buying thins you want.
Nowadays because of the workload on certain people. Make online shopping available can really alleviate some task from their daily plans. Some people do not get time to go shopping or need something urgently but cannot step out in hat particular moment. Online shopping and delivery can be of great help. Just search through, pick and order.
I used Laravel 8,php,mysql,bootstrap ,html to build this project.
When hosting it, I face some challenges but with the help of stack-over-flow i came victorious.
Getting to understand some tricks about uploading Laravel project to server.
Laravel, php, MySQL.
What's next for E-commerce Online Shopping. I am planning upgrade this one with some additional features and add a mobile version that can be used to order from mobile phones.
Built With
bootstrap
html5
javascript
laravel8
mysql
php
Try it out
github.com
onlineus.info | E-commerce Online Shopping App | My ideas about this project is to design a platform for online shopping. Stores can customized this web app to fit their needs in terms of expending their hands to hands selling to online selling. | ['nyonouglo koffi'] | [] | ['bootstrap', 'html5', 'javascript', 'laravel8', 'mysql', 'php'] | 20 |
10,386 | https://devpost.com/software/videofolio | Inspiration
A lot of people have lost their jobs in the pandemic. With the cut-throat competiton to get a new job, we need to stand out in recruiters' eye. We build videoFolio to overcome this problem in a very creative way. VideoFolio makes it easy to generate a video resume from your linkedin and github profiles.
What it does
It essentially generates your digital video resume. For that you only have to fed in your github username and linkedin profile link. VideoFolio will do all the heavy lifting for you and output a nice looking personallized professional video resume, all with your data.
How we built it
We have basically two systems. One data service takes the input from the user and gets the data from linkedin and github. Other service is render services, which takes the data passed from data-service and renders your personlized video resume.
Challenges we ran into
Getting the data and rendering it in considerable time. We tried a lot of options, and went for the best ones. We used multiple services to support the architecture of the whole software. Getting the data from linkedin was tough due to the rate boundings, same was the case with github api. We learned to overcome those and we were able to reduce the time.
Rendering the video was also the second tough part. We tried a lot of different libraries and finally settled for node-canvas. Learning how to put text on the template videos was the very fun part of learning.
Overall, we learned about APIs for linkedin and github, rendering videos, developing and calling multiple services running on different platfroms using REST apis.
Accomplishments that we're proud of
We are proud that we were able to complete this project in such limited time. We are glad that we made a project that will help all the fellow hackers and developer out there in the world to put their best work in front of the world.
What we learned
Learned how to use apis, and get profile data from github and linkedin accounts.
Also developed microservices on flask and node to support the architecture, and calling services using REST endpoints.
What's next for videoFolio
We are planning to scale this service to the large level, so that it can serve more users.
Built With
canvas
ffmpeg
flask
github
github-api
linkedin-api
node-canvas
node.js
python
Try it out
usevideofolio.netlify.app
github.com | videoFolio | Generates video resume from just github/linkedin username | ['Vishal Kumar', 'Vivek Shah', 'Avina Vekariya'] | ["'Hacking is Art' Prize", '[Wolfram] Top 15 Teams'] | ['canvas', 'ffmpeg', 'flask', 'github', 'github-api', 'linkedin-api', 'node-canvas', 'node.js', 'python'] | 21 |
10,386 | https://devpost.com/software/corona_care-jsodfm | Inspiration-
The SARS-CoV-2 pandemic has created a global health crisis that has had a deep impact on the way we perceive our world and our everyday lives. On January 30, 2020, the WHO declared the COVID-19 (SARS-CoV-2) outbreak a global health emergency and on March 11, 2020, as a global pandemic. Since the initial outbreak, SARS-CoV-2, has spread to 216
countries around the world. It has been responsible for millions of infections globally, causing
hundreds of thousands of deaths.
Life during this pandemic has been boring and even stressful for some.
Checking various sites to know about coronavirus has been difficult for some people.
What it does?
corona_cARe is an all in one website. It includes all the information regarding corona virus.
The website also shows live statistics of the virus in various countries. We have also
included a world map showing the statistics of the virus. We have included Play zone in our
website where various games are available. This might help to reduce your stress.
How we built it?
We have used HTML, CSS, JavaScript, Bootstrap and Firebase for the website. Some
games were made using HTML, CSS and JavaScript. Some games were made using unity
and echoAR. We have used echoAR to create some more fun elements for the website.
Challenges we ran into
This was our first time to work with echoAR. We had many bugs from the starting. We
weren't even familiar with Firebase.
Accomplishments we are proud of
Despite all the obstacles, we are really happy that we could incorporate all our ideas into our
website. We even learnt many new things and we are proud of ourselves!
What's next for corona_cARe
We will try to include more things like a community feature, in which people can talk to each
other and share things. We also want to include a face mask detecting model. If possible we
will add more AR ideas
Built With
api
ar.js
bootstrap
css3
firebase
html5
javascript
unity
webgl
Try it out
sushreesatarupa.github.io
corona-care-4753c.web.app | Corona_Care | Interactive AR based COVID statistics and information providing web-app with an addictive covid game | ['Arpita Mohanty', 'Dibyansika Biswal', 'Sushree Satarupa'] | [] | ['api', 'ar.js', 'bootstrap', 'css3', 'firebase', 'html5', 'javascript', 'unity', 'webgl'] | 22 |
10,386 | https://devpost.com/software/green-ride-e08ctn | Inspiration
Smog and Air pollution is a main reason of global warming. Smog and Air pollution comes from cars and can damage the earth seriously. Hence I sought for a way to make driving more sustainable
What it does
Green Ride allows for two things. Rider: Can carpool and find carpool mates near them and ride with them Can find drivers near them and ride
Drivers: Can find customers who want a ride Can Earn points with which they can buy rewards if they use sustainable practices
How I built it
flask, html, css, python, javascript
Accomplishments that I'm proud of
First time using javascript
What's next for Green Ride
Would like to promote or partner it with small companies or environmentally active organizations
Built With
css3
flask
html5
python
Try it out
github.com | Green Ride | Helping promote ecofriendly driving practices through various strategies and incentives | ['Neeral Bhalgat'] | [] | ['css3', 'flask', 'html5', 'python'] | 23 |
10,386 | https://devpost.com/software/cov-urgency | Inspiration
Due to the COVID-19 Pandemic, news channels begin to spread awareness to get some emergency products but due to lockdown in almost all countries, it became difficult for everyone to go out and buy themselves emergency goods. As food delivery apps/software collaborates with local restaurants to deliver food, the same way, we came up with an idea, following the same principle, to deliver needy products to the users! So, we decided to work on a website and an app that solves problems of many, also within a day.
What it does
COV-Urgency is an all-in-one emergency product delivery software that delivers needy products to the users. Some of its features are:
Delivers products within a day
Ensures safety when delivering product; zero contact delivery
Providing all the necessities asked by the user
Provides volunteers to people/organizations in need
How we built it
The website was created using bootstrap studio
Android app was made using Kodular
Used google as a source of images
Challenges we ran into
We had some issues building our website as we were new to backend so it was a learning process throughout and we hope we would learn more in the future.
Accomplishments that we're proud of
Enhanced our skills with programming
Tried Backend programming for the first time, I would love to learn more in backend and would try to implement in real-life projects
COV-Urgency could employ people from different parts of the world to deliver products.
COV-Urgency may increase the profit of local store owners by collaborating with them and by bringing their products online.
COV-Urgency is Vocal for Local
What we learned
Backend programming
Team Work
What's next for COV-Urgency
The website needs some improvements like UI improvement and backend fixes.
We would introduce iOS app for COV-Urgency so that more people can get the benefit.
We would try to Collaborate with some local stores so, we may implement the project in real life as soon as possible
We would try to employ people as much as possible so that it would we beneficial for society.
Built With
css
css3
figma
github
githubstudentdeveloperpack
html
html5
repl.it
vscode
Try it out
github.com
keshavmajithia.github.io
drive.google.com
drive.google.com | COV-Urgency 2.0 | Helping those who need the most! | ['Vishrut Grover', 'Keshav Majithia'] | [] | ['css', 'css3', 'figma', 'github', 'githubstudentdeveloperpack', 'html', 'html5', 'repl.it', 'vscode'] | 24 |
10,386 | https://devpost.com/software/aashray-qez1dc | .
Built With
html5 | . | . | [] | [] | ['html5'] | 25 |
10,386 | https://devpost.com/software/xcrowme | logo
user dashboard
Inspiration
A lot of big problems in the world revolve around money, specifically earning it, transporting it, and storing it. Sending money around the world is not fast or cheap in any way
.
The fraud cases: According to the report, a total of 37,817 fraud cases stood at N38. 93 billion were reported in 2018, over 11,000 more than the 26,182 recorded fraud cases amounting
to N12.01 billion in 20172
.
What it does
Xcrowme is thus essential to adopt online safe trade as an innovative instrument for financial
inclusion, job creation, private sector development, and
poverty reduction. The Solution is used to facilitate cross-border transactions and payments using peer-to-peer technology. The solution also handles peer-to-peer bitcoin trading where buyers and sellers are peered based on their personal preferences like currency, location, etc.
masses across the continent to fundamentally help alleviate poverty, boost economies, and create jobs in Africa.
How I built it
Xcrowme was built with a team of 4 programmers
Challenges I ran into
Funding the project
Accomplishments that I'm proud of
Onboarded 200 users and facilitated transactions worth more than $2000
What I learned
What's next for Xcrowme
Expanding to other African countries
Built With
blockchain
css3
html5
python
sql
Try it out
xcrowme.com
github.com
xcrowme.com | Xcrowme | Free yourself from hyperinflation, financial exclusion, and arbitrary government control. Transfer money internationally at low cost, while making a profit on trades | ['Oluwaseyi Whyte Akinlolu', 'Tech Trobes', 'Toheeb Fasasi'] | [] | ['blockchain', 'css3', 'html5', 'python', 'sql'] | 26 |
10,386 | https://devpost.com/software/birdwatch-hb8kvi | Flowchart of how our system works
The user takes a picture of the animal and it is displayed on the app.
Our app using our AI model to propose the classification of the input image ranked by likelihood. The user chooses the most similar one.
The app returns the IUCN status of the bird and a link for more info. Authorities are alerted and all the bird data is sent to our database.
Inspiration
According to the United Nations, approximately 150 species go extinct every day. The leading causes of extinction are the loss of habitat and overhunting. Before human interference, this extinction rate was estimated to be 1000 to 10000 times lower.
The National Wildlife Federation says the best ways to protect endangered species are to raise awareness and identify endangered species’ habitats. However, a big challenge faced by experts working to preserve endangered species and protect their habitats is the difficulty of finding the species, with their ever-dwindling numbers.
Moreover, existing animal identification apps only identify animals from images, but they don’t educate users or alert local authorities if the user has found an endangered species.
What it does
BirdWatch is a fast and easy app for eco-tourists to classify the bird species they find, learn about their endangerment level, and crowdsource their findings to improve the app and notify local authorities of endangered species in an area.
It uses a deep learning model based on MobileNetV2's architecture to classify the species of a bird taken by the phone camera and display the top 5 matches. With a tap, the user confirms which bird it is and then receives information about the endangerment level of the bird and a link to additional articles. This is how BirdWatch improves ecotourism and teaches users about their environment and raises awareness through sustainable experiences.
Behind the scenes, the bird's image, species, and location are sent to Firebase where the model will continually train and
improve
on an ever-growing, crowdsourced dataset. By adding to published data, the system makes the model even more representative of a wide variety of bird images.
Local authorities can use the web app we created to see a map displaying markers on the locations where birds were found. In this manner, if an endangered bird is found, authorities will get notified and know the area the bird was located in, thereby being able to preserve the natural environment and protect these species.
How we built it
We used a dataset of 225 birds and trained a custom model with a modified MobileNet V2 architecture to identify the bird species. We then converted the model into a TensorFlow Lite model and exported it to the android app. To get the endangered level of species, we wrote a web scraper to get their IUCN status.
Combining the machine learning model and web scraper output, we linked these elements together in a Linked Hash Map. In the android app, we took the input of the user for the picture and ran it through the model. This gave us the probability that the bird was a particular species for each of the 225 bird species.
We used this to generate a list of the top 5 candidates and display their information in a ListView so that the user could select an option. After the user selected a bird, we used the LinkedHashMap to get the endangered status of the bird and display it to the user with additional information.
We implemented a feature to retrieve the location (at the permission of the user), time, and the bird classification and added it to our Firebase Database. We made API calls to the Database to retrieve the data to put onto an interactive map with filtering in our web app.
Challenges we ran into
Our biggest challenge during this project was exporting the machine learning model so that we could use it to predict images in our mobile app. At first we used pytorch, but there were problems in exporting the model to a mobile-compatible version. Then we used Tensorflow, but training failed at first because Google Colab, a free online Jupyter notebook, had a RAM limit which restricted us from creating the TensorFlow lite model at the level we wanted it to be. We also had problems with figuring out how to export certain models since the documentation was difficult to find. We solved this by training and exporting our model from google cloud instead.
Accomplishments that we're proud of
We're proud of getting a working model loaded into android studio and it being able to predict with the same accuracy as previously predicted
We're proud to create a mobile application that takes a picture of a bird as input, then classifies it, displays results to the users, and crowdsources the data so that the app can continue to learn.
We're proud of the web scraping application we used to load in the conservation status of each bird rather than having to manually look up and input the data for 200+ birds
We're proud of training a machine learning model that can classify so many different classes with such a good accuracy
We're proud of a web application that integrates all the data together in a clean and sleek way.
What we learned
We learned different ways to do transfer learning so that it is much easier to do train a model on a numerous number of classes
We learned how to make our android app interact with firebase databases and how to send the data from the model's prediction to the database
How to take the list of confidence values received by the model's prediction and turn it into a picture array
We learned how to use integrate firebase database with react.js
What's next for BirdWatch
To build upon the app, we can train the model on animal species as well so that it can identify a broader range of endangered species. Additionally, using Google App Engine will allow for the model to be hosted and trained online in the cloud allowing for automatic scalability as more users crowdsource their image data. We could also improve on the web interface to provide more relevant information and statistics.
Built With
android-studio
firebase
java
keras
react
tensorflow
Try it out
github.com | BirdWatch | An AI-based mobile app that combats species extinction through computer vision and crowdsourcing. | ['Ishaan Javali', 'Kanishk Garg', 'Madhu Sharma'] | ['1st Best Hack', 'Best Innovation Hack'] | ['android-studio', 'firebase', 'java', 'keras', 'react', 'tensorflow'] | 27 |
10,386 | https://devpost.com/software/voice-shop-voice-enabled-shopping-assistant | Inspiration
The day to day process of navigating to websites and then adding products to the cart is time-consuming. So We thought of making a voice-enabled shopping assistant which can search and add products to the cart just with a voice command.
What it does
It can search and add products to the cart just with a voice command. It is also capable of performing a day-to-day activity such as playing music, opening applications, etc
How I built it
We have built it in python using the selenium library and performing web automation
Challenges I ran into
Web automation was really tough
Accomplishments that I'm proud of
The final product which performs on voice command is an accomplishment.
What I learned
I have learned many new skills like web automation, python libraries, etc
What's next for Voice Shop - Voice-enabled Shopping Assistant
Built With
python
selenium
Try it out
github.com | Voice Shop - Voice-enabled Shopping Assistant | A daily use voice enabled shopping assistant | ['Esha Goel', 'Vidhi Garg'] | ['Best Voice Project'] | ['python', 'selenium'] | 28 |
10,386 | https://devpost.com/software/ar-tourist | Inspiration
The COVID-19 pandemic has compelled us to stay indoors. Although some industries were able to adjust to the circumstances, it has been very difficult for Tourism Industry. We at AR-Tourism have created an app where you will be able to visit some famous monuments and world heritage sites from your home. And we all know how bored we are staying at home and go out on a vacation. But here we brought the vacation to you.
How our Project uphold equality
Even in the normal pre-covid times not all stature of persons were able to visit and enjoy the Rich Heritage of our world, so we decided to bring the happiness to their fingertips. We built a free of charge application where one and all from across the world will be able to Go Around The World Virtually without spending a penny.
What it does
AR-Tourist is an AR-based tourism app. We give you a lifetime experience of travel from your home. Get our app to experience yourself all at the cost of nothing. You will be able see and learn about the history of monumental world heritage sites. You can also visit our websites to read travelling blogs and prepare yourself for an exhilarating journey after the pandemic.
How I built it
We build the AR components using EchoAR and Unity. I summoned the models from poly google and sketch-fab. I built the website with the help of wix.com
Challenges I ran into
There was a huge time constraint. And I had to manage a lot on my own. Finding the required models was an headache. However I was able to track down some famous monuments and display them. Using wix to create a website was completely new for me, did run into some problems but managed to overcome them.
Accomplishments that I'm proud of
We successfully used EchoAR to create the project. We also were able to create a fully functional user-friendly app. I am happy that I was able to use wix to build a website.
What I learned
We learnt the use of EchoAR. And was able to get familiar with wix. The learning was priceless.
What's next for AR-Tourist
We plan to develop and showcase more such monuments. We also plan to collaborate with travel agents and get you connected with them to make your experience a more exquisite one.
Try out the website:
https://paulpallab1112.wixsite.com/artourist
Built With
apk
c#
echoar
unity
wix
Try it out
github.com
paulpallab1112.wixsite.com | AR-Tourist | Go Around the World Virtually | ['Pallab Paul'] | ['Best EchoAR Hack'] | ['apk', 'c#', 'echoar', 'unity', 'wix'] | 29 |
10,386 | https://devpost.com/software/i-sight | Inspiration
Looking at how people treat each other, let aside the ones who really need help, humanity feels nothing more of a global scarcity. With the progressing technology there should be applications which help the people who really are in need and it would be better for people to atleast have technology which they can trust rather than being at nature's mercy. So we thought of building an application which would act as an in-person navigator and along with navigation also give out every detail a visually impaired person needs to know about his/her surrounding, keeping them safe.
What it does
With our project I-Sight, we intend give these people with a disturbed vision a
trustworthy and reliable source to depend on when they walk out any place
which makes them feel endangered due to their disabilities. This application is in
itself a personal guide who’d rather hold one’s hand and walk them to wherever it
is they want to go. This application would act as one’s vision as well as a navigator
on the streets which would be far better than any human eyes could calculate or
predict. All this application requires is an android device with a camera.
Features:
COMPLETE NAVIGATION:
The user can use voice commands on the application and speak out the desired
location they want to reach, the application will then set a course from the users'
current location to the desired location and guide the user through the path
making use of various other features in the application.
OBJECT DETECTION/RECOGNITION:
While moving the user has to keep the phone in his hands with the camera facing
in front, this application is running on an DL model which will detect and
recognize all the objects, moving and at rest, in the line of sight of the camera and
inform the user of all the objects which are present on his/her path.
DISTANCE ESTIMATION:
This application will not only detect the objects in the vicinity but also estimate
the distance between them and the user and convert it into the number of steps
the user would require to get to any object present around the user.
INTERMODAL ROUTING:
Along with guiding the user through the pedestrian route our app also has a feature
of public transport guidance. If the path of the user is long the application automatically
guides the user to the nearest public transport waypoint to help the user reach their
destination, which also includes multiple changes in the transport journey if required.
Some of these public transport waypoints include city rail stations ,metro stations, bus stations etc.
TIME TO COLLISION ALERT:
This application also provides a feature of alerting the user in order to prevent
any sorts of accidents or mishaps on the path of the user. This feature calculates
the time and the distance between the user and any obstruction or vehicle in it’s
on going path and alerts the user accordingly.
How we built it
I-Sight is built using the power of Deep Learning models for object detection. It heavily relies on Tensorflow lite Mobile Net v1 model for fast, low latency and performant model and HERE SDK for the features of in-time navigation, Geolocation and the intermodal routing. For Voice Interaction it uses Android's Text To Speech API.
Challenges we ran into
The implementation of tensorflow lite model in android as well as the implementation of HERE SDK required a bit of research. The merged output of both technologies was specifically challenging to achieve.
Accomplishments that we're proud of
We are proud of being able to put together two such robust technologies in HERE SDK and Tensorflow and making them work together effortlessly. Along with that, we are also proud of providing our contribution to the society by helping visually disabled people to find there own way making them independent of others.
What I learned
We learned to implement light weight mobile nets and usage of tensorflow lite models. We also learned about the amazing HERE SDK which provides various robust features for geocoding, routing and LIVE Sense.
What's next for I-Sight
Another enhancement would be an addition of AI danger heuristic for safer travel.
Built With
android
here
mobilenet
tensorflow
Try it out
github.com | I-Sight | Making visually disabled people independent | ['Chinmoy Chakraborty', 'Vishwaas Saxena'] | ['RUNNER-UP', 'Best Seeing Eye Project'] | ['android', 'here', 'mobilenet', 'tensorflow'] | 30 |
10,390 | https://devpost.com/software/bema | Inspiration
After conducting a research study for Black and POC college students, 88% of respondents stated that they felt the safest when surrounded by other POC, allies, friends, and family. 81% stated that they felt the most afraid when they were alone, in an unfamiliar place, or in a situation where they’re being threatened.
What it does
Bema allows anyone to place a marker on a map at their current location, alerting anyone around them with the app that they need someone for the situation they’re in, particularly in cases of police brutality. Bema was made for Black people and the allies who want to help.
Creating a chat room syncs with the user's own location pin on the map, directing them to a chat room for their situation and activating the pin. We understand that users will not have time to make a long post so the only thing users would have to input is a short title about the situation. Allies of Bema get alerted if a marker was placed on the map within their 10-mile radius, allowing them to view the post. They can click right away to notify the poster that they’re on the way. Or if they cannot make it, they can send them advice about what to do in the pin’s chat room.
For Black people, Bema brings attention to us when we need it the most; alerting other people of our community to stand beside us when we need them. They can also quickly view their rights in the top right corner.
For allies, Bema allows you to become a non-passive ally, using your privilege to help where you can and do the right thing.
How we built it
We used React Native for our frontend and Firebase for our backend. We also wanted to credit
link
for part of our demo video.
Challenges we ran into
We had time commitments due to school, but we were able to talk through our challenges as a group and modify our plans to meet our goal.
Accomplishments that we're proud of
We were successful in implementing both the map backend and chat room backend.
What we learned
We learned that time management, clear communication, and consistent teamwork is the key to success for a hackathon.
What's next for BEMA
Our hope with Bema is to encourage active allyship in order to alleviate the fear that Black people face due to police brutality, starting with college campuses.
Built With
firebase
react-native
Try it out
github.com | BEMA | Bema (standing for "Be My Ally") is a location-based mobile app that helps college students become active allies to their fellow Black college students. | ['Liya Mulugeta', 'Aileen Pongnon'] | ["People's Choice"] | ['firebase', 'react-native'] | 0 |
10,390 | https://devpost.com/software/heard-helping-eliminate-all-racial-discrimination-app | GIF
Shared GitHub with
info@dubhacks.co
Inspiration
Despite the Civil Rights Act, Black Americans still face brutality and unequal conditions today.
Black Americans suffer a higher rate of fatal police shootings than any other ethnicity at 30 shootings for every one million Black Americans.
Black households have 1/10 The median net worth of white households
Black Americans are living in poverty at twice the rate of their white counterparts
Black Americans constitute a higher percentage of COVID-19 Deaths
Black Americans are incarcerated in state prisons at 5.1 times the rate of their white counterparts
Once convicted, black offenders receive longer sentences compared to white offenders.
Studies have shown that people of color face disparities in wage trajectory following release from prison
While people of color make up about 30 percent of the United States’ population, they account for 60 percent of those imprisoned. According to the Bureau of Justice Statistics, one in three black men can expect to go to prison in their lifetime.
As a minority myself, as in many countries, many of have know, seen or been one discriminated based on our differences and other people and this is cause that still has not been reduced to an optimal level. With all of these points in consideration, I felt as it is my responsibility to use my productive coding skills in order to develop a high level application in order to help people be heard, avoid and act against forms of racial discrimination.
Main Features of the App
First here is the news feed in the home page tab. It allows end user to obtain powerful, unbiased and truthful sources speaking regarding the topics of race, discrimination and protests in regards to real world events and the ability to quickly view if you choose. Here you see:. Overall this section helps inform the user and spread awareness.
Here is the Petitions Tab where users are able to choose a petition they would like to support in order to help take action for those respective reasons. Some of these include justice for Ahmaud Arbery and other such incidents. Here you see: This will help users quickly take action with the quickest approach rather than scavenging the web for petitions. You can click the view button and it. Overall, this section helps the user take action against racial discrimination.
Here in the Statistics tab where you can view all the numbers the app is calculating behind the scenes to provide data in order to take action. Here you see: ... More specific data stored behind the scenes can be provided to local lawmakers, legislative officials and the towns to push for actions in those areas to help improve society as a whole. Overall, this section helps the user take action against racial discrimination.
Now we move to our search tab where we have a maps UI displaying our locations. Due to some constraints, I am not able to use a physical phone. Hence this Iphone 11 simulator displays the default San Francisco location header on the map, where otherwise it would show your location. Here, we have a text input where we can type in a location and enter to see various results. Based on the location input, we find data regarding the amount of complaints in this city. Since this app has not published any complaints yet we see 0. Using a custom algorithm with multiple data points from various apis, it estimates the amount of potential occurrences of acts of discrimination. We also see a risk level in order to help you make a decision whether you are going to avoid this location or not. We also see the amount of people in help status, which is a status you can enable in order to alert people nearby in your city to help you. Additionally, their icon will come up on the map. End users will end up seeing it and this will help others respond by going to their location and responding in numbers to that act of racial discrimination. Additionally, we see how many HEARD users there are in this city to see others in support. Over hear we see a button we can click in order to send a data point to the app to show we have avoided the location we typed in, incrementing data counters by 1 to track it. If we go out, we see this button in order to go into “help” status. Overall, this helps users avoid certain locations based on multiple data points.
Now to the last part of our app.
Here is the complaint submission form where you can submit a complaint regarding a person, individual, location and specify details regarding an act of racial discrimination. Additionally, the user can attach a photo in order to identify the person who discriminated. This will help us take action against such people and reduce racial discrimination on the back side of the app and provide this information to such organizations that do. Additionally, this data will be posted to the backend in google firebase and the cloud where the data is stored and then is retrieved in this upcoming section where all users can see the various different complaints by users in their areas.
Here we refresh and see my complaint comes up and we have a simple UI displaying this information.
I used various apis such as the news api, react-native-maps api, expo’s location api, the api provided by google firebase making the backend so easy, and various libraries for easy and efficient styling. These apis helped me make this app in such a small period of time.
That is all for this app and I hope this app can help make the world a better place.
How I built it
During the progression of this application, I built I primarily with already existing libraries which helped me style my elements quite quickly. I used libraries such as react-native native base, react-native-elements and react-native vector-icons. For the many apis I used in this project a News API creating the feed of news, react-native maps api allowing for the maps UI, the Expo permissions and locations API making it very simple to take data points using their documentation, Google Firebase API to help me use a simple post method to post my data reducing tons of time and geolocation/geocoding api that came with expo permissions. All of these apis and libraries made it easier to make a high level application in such a tight time frame. Overall, I used APIs, Location Services, Geolocation, Geocoding, Google Firebase, to create an application for people to connect, use data to make decisions to go to a certain location, alert other users around them for help and take action using petitions and the technologies provided in the application.
For alerting others, getting location and the maps UI I used the react-native-maps api, geofencing apis provided by expo and geocoding to translate a lat and long coordinates into an address and visa versa to process the address given, share location if you are in 'help mode' and alerting others if there is someone nearby who needs help.
For the news, I used News API for a feed
For the complaint form, I used Google Firebase API to store and retrieve data, which I also used to store statistics which can be used in order to take action.
Challenges I ran into
Some last second challenges I ran to was the manipulation of the database on Google Firebase. While creating the video in fact, I realize that some of the parameters were missing and were not being updated properly. I eventually realized that the naming conventions for the some of the parameters being updated both in the state and in firebase got mixed up. Unfortunately this took way to long and results in me having to cut the video up into two different sections. I stayed up until 1am and got it done. Thanks to all the great documentation and other tutorials I was able to effectively implement the rest.
What I learned
I learned a lot. Prior to this, I had not had experience with geolocation, geofencing and other location services which I found quite fascinating after I was able to fully learn them. I also learned how to upload large amounts of data to Google Firebase, which was easy with the help of tutorials, which I had previously thought was hard. Additionally, I learned new styling elements such as how to created rounded images and permissions to the images directory which I was not previously familiar with. At the beginning of this project, I did not think I would finish. However, I had learned that after you gain enough time with certain things and learn how to do it and push yourself to do it, you realize it is much easier than anticipated.
Theme and How This Promotes Social Good
Overall, this application was created in order to help reduce racial discrimination
Design
I created a comprehensive and simple UI to make it easy for users to navigate and understand the purposes of the Application. Additionally, I used previously mentioned utilities in order to create a modern look.
What's next for HEARD (Helping Eliminate All Racial Discrimination) App
I hope to create an API endpoint for the algorithm I created in order to determined the estimated occurrences of racial discriminations and calculated risk level rather than having it on the app. In the long term, this will reduce complexity if the app becomes larger.
Built With
algorithm
api
cloud
expo.io
firebase
geofencing
google
javascript
news-api
postman
react
react-native
react-native-base
react-native-elements
react-native-maps
Try it out
github.com | HEARD (Helping Eliminate All Racial Discrimination) App | Helping everyone get heard, avoid, and act against discrimination against minorities using geofencing, geocoding, location services, google cloud and apis to bring awareness to, avoid and act against. | ['Om Joshi'] | ['Powerbeats3 Wireless Earphones + WOLFRAM AWARD + $250 Digital Ocean Credits', 'First Place'] | ['algorithm', 'api', 'cloud', 'expo.io', 'firebase', 'geofencing', 'google', 'javascript', 'news-api', 'postman', 'react', 'react-native', 'react-native-base', 'react-native-elements', 'react-native-maps'] | 1 |
10,390 | https://devpost.com/software/police-brutality-forum | Inspiration
Police brutality has been in the news lately so we decided we wanted that to be the subject of our project. After realizing that more mainstream social media sites are sometimes forced to take down or flag content related to police brutality we decided there was a need for a more independent community.
What it does
It is a forum for police brutality victims and allies to build a community where everyone can share their experiences and resources.
How we built it
We used flask as the framework for our web application. Flask handled the logic and served up the web pages coded using HTML. After completing a back-end and a basic front-end we used a CSS framework, Bootstrap, to make everything look better.
Challenges we surpassed
Creating the database and figuring out the relationship between Users and Posts, Preventing duplicate users/usernames & mismatched passwords during registration, Creating forms using WTForms, Figuring out notifications, Profile picture integration using Gravatar, Email website error notifications to administrators, Accepting Cryptocurrency donations through Coinbase
Accomplishments that we're proud of
We made a functioning website that can be used to help people who have been victims of police brutality.
What we learned
Web Development using flask
What's next for Police Brutality Forum
Next, we will continue to improve on the website by adding more features and sources and well as continuing to make the forum more user-friendly. Examples of upcoming features include implementing a like/dislike system and methods for sorting posts such as by popular and by most likes, password recovery through email, the ability to delete/edit posts, image/link support for posts, and the implementation of tags to sort posts into categories.
Built With
bootstrap
flask
html
jinja
python
sqlalchemy
werkzeug
wtforms
Try it out
github.com | Police Brutality Forum | A forum for police brutality victims and allies to build a community where everyone can share their experiences and resources. | ['Dhruv Batra', 'siya batra'] | ['Honorable Mention'] | ['bootstrap', 'flask', 'html', 'jinja', 'python', 'sqlalchemy', 'werkzeug', 'wtforms'] | 2 |
10,390 | https://devpost.com/software/activistarmor | Inspiration
On May 25th, George Floyd was brutally killed by policemen. His death has enlightened thousands of people, marking the existence of fatal amounts of racism and the trend towards the United States becoming a police state.
As people bypass quarantine and curfew laws to protest against this injustice, several new cases of police brutality have come up. Newsfeeds of homeless people being hit by rubber bullets and a small girl being pepper-sprayed has continued to fuel the pathos of many people. When we see individual stories of the atrocities committed by our own protectors, there are usually two trains of thought. Many people are enraged and take to the streets more often. Others, although horrified, aren’t convinced to protest because they’re only exposed to a few news articles with invigorating headlines but a more dull truth.
However, my team’s research has shown that there are a
lot
more cases of brutality than we see. These are a few stills of videos we found that were buried deep in the internet. During every protest, several new videos surface with unprovoked action against protestors, but only a few go viral. We immediately realized the importance of
visualizing
this data. Emotion is strong, but data is stronger! With this information, we can convince more people to protest against injustice, this time armed with facts and logic.
What it does
With a complex architecture, our team set out on an ambitious goal to try and map out all cases of police brutality. Knowing that most of these videos surface on Reddit, we built a metadata Reddit scraper that searches for media files. Moreover, we also built an application with React Native (thus making it cross-platform!) that allows users of our app to post their own photos and videos that they've recorded onto our app.
We prioritized the safety of the protestors from a cybersecurity standpoint since we want all users to stay anonymous. Thus, we built a unique CNN model from TensorFlow that allows face blur from images and protects the identity of any people that might be on the video. We don't want people to get targetted!
However, we don't want to just append any random media file to our database! Using Amazon's S3 Bucket and Rekognition APIs, we were successfully able to extract how much violence was in our video. Then, we uploaded these files to DigitalOcean, extracted a file location, and stored this information in MongoDB along with the case's geolocation!
On the client-side, the user is able to see a feed of the most recent cases from our MongoDB, and a map showing the geolocation of every user-uploaded case.
What's Next for ActivistArmor?
In order to accomplish our goal of arming activists with information, we hope to add a web app to our project, get our app published on the App Store and Google Play, and expand our scraper's abilities in order to collect content from Twitter, Facebook, websites, and more.
A problem we face with this version of our app, is that our server cannot handle video well enough to blur faces in the videos, however the code and functionality to do so exists in our program already. If we raised enough money, as little as $100, we could upgrade our AWS server to include a GPU. This would protect protestors from having their face appear in videos on our website to protect them from being prosecuted by authorities.
Another way we would like to improve ActivistArmor is to find videos of the same event from different angles. We could do this by implementing object detection ML and finding match objects in videos. Protestors could then see well-documented video of police brutality from multiple angles.
Lastly, in order to speed up our content flow, we need to implement a way to remove duplicate videos and crop videos down to the content that matters. This will allow us to utilize any grant money or funds we receive in a more responsible manner and will work better for protestors by getting them only the content they want as quickly as possible.
Built With
ai
amazon-web-services
cnn
digitalocean
galio-framework
javascript
ml
mongodb
react-native
rekognition
Try it out
github.com | ActivistArmor | A modern solution to visualize the extent of police brutality in the US and arm protestors with knowledge! | ['Ansh Gupta', 'Eric Andrechek', 'Jainil Shah', 'Alex Ruan'] | ['Top 3 Best Data Science/Machine Learning Hack'] | ['ai', 'amazon-web-services', 'cnn', 'digitalocean', 'galio-framework', 'javascript', 'ml', 'mongodb', 'react-native', 'rekognition'] | 3 |
10,390 | https://devpost.com/software/defenderr-iaj80l | Log in page
About page
Home page
Know My Rights
Acess my emergency contacts
Document my situation options
View list of police badges
Add a police badge
View list of witness contacts
Add a witness
View license plates
Add a license plate
Record date/time/location stamp
Notify a contact of arrest - a template text message will be sent out informing the contact of your last location
Create a police complaint - document name
Create a police complaint - selecting the date of encounter
Create a police complaint - selecting all involved officers
Create a police complaint - selecting all involved witnesses
Create a police complaint - selecting all involved license plates
Create a police complaint - selecting all relevant complaint reasons
Create a police complaint - providing additional details
Create a police complaint - providing user contact info
Create a police complaint - previewing and downloading the document
An auto-generated police complaint pdf based on the user information provided
Inspiration
We wanted to create a multi-functional mobile app that empowers people, especially those of targeted demographics, to stand up against police brutality and injustice.
What it does
Informs users on their rights based on their individual situations
Provides a guideline on the pieces of information that should be collected in a police encounter
Sends an auto-generated text message with location data to an emergency contact in the case of an arrest
Guides the user to create a police complaint letter through an auto-generated template
How I built it
Firebase and Flutter
Challenges I ran into
Delegating tasks in a team
Working with different environments and getting all of our apps to sync
Developing features that are practical and usable to people facing police brutality
Trying to understand the challenges that other POC encounter
Marketing our app and the best way to present our ideas
Accomplishments that I'm proud of
Learning mobile development on Flutter
Learning about how to create a marketing pitch
What I learned
The reality of racial injustice
Individual rights
Different situations in which police aggression and injustice may occur
What's next for Defenderr
Supporting photo documentation in creating police reports
Voice-activated functions, for situations when users are not able to access their phones easily
Voice to text transcription
Release for IOS
Built With
firebase
flutter
Try it out
github.com | Defenderr | Defenderr is a mobile app that gathers information during police encounters, informs users on their rights, helps them draft police complaints, and sends alerts to contacts in the case of an arrest. | ['Calista Wong', 'Karen Berba', 'Lisa Bettcher'] | [] | ['firebase', 'flutter'] | 4 |
10,390 | https://devpost.com/software/quarterway | Inspiration
When looking into problems facing the black community, mass incarceration was one that really drew my attention. Looking further, I found that one of the greatest issues was that people are worse off after leaving prison than when they got in. This led to any conviction being a lifelong ball and chain, and I sought to fix that.
What it does
It's a portal that allows incarcerated people to take classes made by professionals, participate in job trainings made by companies, apply for work, and look for housing while imprisioned
How I built it
I tried my best to keep the tech stack as basic as possible, most javascript is inessential and a lot of functionality lies in the server to make it so that computers with limited access to the internet can still use the website with minimal issue. The server is run using flask, and the rest is pure html and javascript . Databases are handled using mongodb
Challenges I ran into
Keeping things simple and trying to use as few javascript libraries as possible was a unique challenge for me that I took as a major learning experience. The other big challenge was front-end, it really is not my specialty and I think it shows.
Accomplishments that I'm proud of
This was my first time deploying a webapp, and it was a great learning experience. Writing both the class creator and class window using nothing but plain html and javascript was one of the greatest tasks I've ever undertaken, but I think it turned out alright.
What I learned
Definitely brushed up on my javascript and this was my first time using a digitalocean droplet to do anything. I'm not a big linux guy, so that was pretty fun to learn
What's next for Quarterway
Important
If you want to experience the full website I have to manually assign admin privileges to you, so get in touch with me over discord or devpost or message "holanow" within the website.
Built With
bootstrap
flask
html
javascript
python
Try it out
quarterway.online
github.com | Quarterway | Turning prison into an additive and developmental experience | ['Hendrick Ducasse'] | ['First Place'] | ['bootstrap', 'flask', 'html', 'javascript', 'python'] | 5 |
10,390 | https://devpost.com/software/website-educate-demonstrate-liberate | Inspiration
We were incredibly inspired by the Black Lives Matter movement and wanted to participate in any way we could. We decided to spread awareness on the movement, and help others support it by educating themselves, donating, and more.
What it does
It compiles resources to support the Black Lives Matter Movement. On our website, you can find shows and movies to watch and books to read to educate yourself on the movement. There are funds to donate to and Black-owned businesses to support. You can find your local government officials to reach out to about the movement.
How we built it
We used HTML5, CSS, and Javascript. We also used a website layout by Juliocodes on youtube.
Challenges we ran into
We learned HTML5 and CSS for the first time to code this website, so that was a big challenge. However, we were able to move past this and create a website that effectively spreads important information.
Accomplishments that we're proud of
We are really proud of the fact that we were able to compile a handful of resources to help spread awareness and information about the BLM movement so that we can continue supporting it as much as we can. We are also proud of our homepage, which has cool CSS features that we learned exclusively for this project.
What we learned
We learned HTML and CSS for this project. We also learned so much about the Black Lives Matter movement through our research for this website.
What's next for Website: Be The Change
We plan on adding a current events page to update users on ongoing issues and developments in the movement. We also want to expand our resources pages.
Built With
css3
html5
javascript
Try it out
github.com | Website: Be The Change | This website has resources to educate yourself and others, contribute in the fight for justice by donating and signing petitions, find black owned businesses, etc. | ['Winona Patrick', 'Sneha Kafle'] | [] | ['css3', 'html5', 'javascript'] | 6 |
10,390 | https://devpost.com/software/life3-mwb-owned-digital-advisor | LIFE3 Logo
TTP Logo
CTW Logo
LIFE3_BLM_Hackathon
Inspiration
Support successful application of technology to support minority women owned businesses
What it does
Connect minority-women owned businesses, within NYC, to junior developers and designers, free of cost to them, to meet needs for webpage design and development
How I built it
We used Watson Assistant, Watson Discovery, Watson Knowledge Studio, Trello
Challenges I ran into
Integrating Watson Services
Connecting Watson Service to Node Red
Finding a reliable data source for minority owned businesses
Training Watson AI using Discovery and Knowledge Studio
Accomplishments that I'm proud of
Building an application that demonstrates how to align local business needs to capabilities provided by entry-to-mid career professionals
What I learned
About the needs to help support underrepresented groups in need of digital business services.
What's next for LIFE3: MWB-owned Digital Advisor
Providing similar services nationally across the US
Built With
ibm-watson
node-red
node.js
Try it out
web-chat.global.assistant.watson.cloud.ibm.com | LIFE3 - MWB owned Digital Advisor | Connect minority-women owned businesses, within NYC, to junior developers and designers, free of cost to them, to meet needs for webpage design and development. | ['Tewodros Amare', 'Sabine Salandy', 'Estephanos Bekele', 'Omar Duran'] | [] | ['ibm-watson', 'node-red', 'node.js'] | 7 |
10,390 | https://devpost.com/software/taymar-s-adventure | Upon launching the game, the user will see this menu.
Click on the "Learn" button in the main menu to find resources.
Click on the "Learn" button in the main menu to find stories.
A sneak peek into the third challenge!
The options the user can choose in the third challenge.
Taymar tells the user they have made the right choice.
Congratulations! You completed a day in the game!
Inspiration
We took inspiration from the Black Lives Matter movement. One of the biggest issues in today’s society is the lack of representation/negative representation of black characters in the media. At a young age, our views of the world become distorted when we do not see diversity in the movies and tv shows we watch. We wanted to challenge these societal norms by ensuring our future generations are taught to love, not hate. We wanted to create a game in which young students could see themselves represented and learn to support one another.
What it does
Young students can play our game to acknowledge, understand, and learn more about situations in which discrimination can surface and how they can help support their peers who face these challenges. Our game encourages young children to learn about racial equality and social justice in a fun and interactive manner. The game helps with understanding and creating the habit of treating everyone fairly, regardless of skin colour.
How we built it
We built our game using Unity and C# for game development. We made multiple scenes for each of the challenges and added button functionality using C# scripts.
Notable Game Feature
The game includes a menu of helpful resources and stories for those interested in learning more about racial inequality and how this social issue has affected people around the world. This feature encourages users and their parents to better understand important events in the BLM Movement and how they can contribute to mitigating systemic injustices.
Challenges we ran into
Our biggest challenge as a group was learning to use Unity. We had never used this software before and had to quickly learn about collaborating with Unity. However, after some trial and error, we successfully managed to collaborate and add our personal touches to the game!
Accomplishments that we're proud of
Our greatest accomplishment was that we quickly adapted to using Unity and C#, a platform and a language we did not have prior experience with. We are proud of how we were able to create a game that represented Black people and helped students learn to recognize and combat discrimination. We enjoyed working with one another and are thankful for this experience.
What we learned
As we were installing Unity, we learned that setting up new software can be difficult, but not impossible! As we started to create our game, we learned how to create new scenes, add UI elements (eg. text animation), and create C# scripts within Unity.
What's next for Taymar's Adventure
We hope to better engage our potential users by adding more stories and levels, as well as a points system.
Built With
c#
css
html5
javascript
unity
Try it out
github.com
mabelene.github.io | Taymar's Adventure | Creating more inclusive communities | ['Angela Zhou', 'Armeen Talwandi', 'Mabel Kwok', 'Albina Babuk'] | [] | ['c#', 'css', 'html5', 'javascript', 'unity'] | 8 |
10,390 | https://devpost.com/software/devsoph-all-in-one-education-and-development-platform | Inspiration
All content and demos should be made available here:
https://devsoph.tech/
DevSoph is all about information and education, helping minorities across the world targeting: police brutality, re-offenders, incarcerated, afri-centric businesses and disadvantage students across the world with one solution.
Cultural Preservation
Alternative Link to Preservation Platform:
https://c5886f0ac8084ce0a16bc256ed19fda4.us-east-1.sumerian.aws/
?
Last year after a trip abroad , my family and I planned to visit many monuments and landmarks, but due to unforeseen circumstances we were not able to visit the institution. Inaccessibility, from unforeseen circumstances or even renovations, could cause a huge loss of tourism coming at a huge cost for these institutions.
The second issue which I came across was the damage caused by tourism in certain cultural/historic institutions, which caused negative effects to the institution physically and financially. Whilst many solutions for virtual museums and tours are available, there is market gap for immersive experiences which allows for user inputs (e.g. Q and A).
However, whilst these gaps existed, one of the biggest issues arose when we arrive back home.
Many of my classmates and friends did not know the stories behind these landmarks
with many believing they were created and designed by
colonisers
not the colonies themselves. Many would never be able to access these institutions and see the fruits of minorities in person. This inspired me to develop a solution to solve this predicament.
A solution which could help provide an immersive experience to act as a hub for information is needed for cultural institutions to provide a more accessible service. For many having the opportunity to visit these places can be amazing and possibly change the experience with education.
Ultimately these cultural institutions can make a huge effect on education worldwide, and despite 3D solutions on the market, very few truly offer an immersive feature.
Today, we have seen two problems caused by COVID-19 which has negatively affected these institutions, which find it hard to make money and survive without any customers. Moreover, COVID-19 has impacted immersive education more than every before, and many look to these cultural institutions for inspiration to help enhance their education. A solution to help students to achieved immersive education at home is required.
Another big issue with COVID-19 is logistics and shopping. In many developing countries high demand has increased lines and transmission rates. A recent case study is in India where the demand for alcohol led to high lines with no planing and increased transmission.
Many developing countries have access to an SMS device. The solution to this problem is an SMS based logistics planner to automatically schedule timings for users to buy and/or pick up goods at their store. Store owners (communal) share the device and users simply text the shop they require and the time intervals that best suites them via a special SMS message. The device automatically provides them with a booking (if available or otherwise schedules the next most appropriate time).
What it does
Cultural Preservation
The solution is a AR/VR solution which helps to solve issues with both cultural institutions and education and can be applied to multiple fields, from site heritage to immersive educational experiences, it offers a unique solution to revitalise cultural institution and education in the digital era. The features are as below:
1) AI-Powered Chatbot Host for the Tour
2) 3D Visualisation
3)Q/A with the virtual host
Please note the demo used was for a Greek Temple for simplicity purposes
The SMS platform allows students, learners and more to access information via SMS technology anywhere in the world simply by texting to a special number. The design currently works with an information chatbot about space and also provides them access to answer any questions they may have. All conversations are stored and can even be accessed by teachers to help track and monitor progress of students.
The SMS Business platform inform users via SMS about inventory, as well as offering them the opportunity to book ahead to collect the order if a slot is available. The demo currently has 24/7 coverage with all time slots free indefinitely, but restrictions take place as per the user's liking. All content is stored on Twilio to be accessed if needed.
How I built it
Cultural Preservation
Chatbots were created using Amazon Lex, with around 2-3 questions for each intent, to ensure the chatbot could understand them with a high success rate. I then added responses for each of the instances, providing answers to the different questions. Currently, there are a few available, but this can be added later on.
Greek Temple : For the demo, I created the model using blender where I added a few materials, manipulating planes, cubes and spheres. This took around an hours to make ! The pillars were made using cylinders and edge loops, and extruded inwards.
Sumerian: I brought it all together using Amazon Sumerian, which allowed for the linking of the amazon lex bot to a demo host model. In this case, I had to simply connect the dialogue from Lex through the bot, and create a simple flow between asking the question and responses.
SMS Platform : The design was then linked to Twilio, where I could text and even make calls to the number to communicate any questions and answers. The design uses a twilio trial account, and is currently an American number. The SMS platform was tested but the telephone call was not tested due to cost issues.
Challenges I ran into
Where should I begin ? :)
Cultural Preservation
Chatbot
: Parts of the section of Lex included debug errors in the host's speech, to change this I had to change the order of the responses and reduce certain aspects, eventually solving the issue. Additionally, certain phrases were not being picked up hence I was forced to make more questions to train the model. By adding more data, the bot was more responsive and achieved higher fidelity in understanding responses. More can be added !
Importing the Blender model in Sumerian
: The imported model caused huge amounts of errors, with textures not importing properly along with incorrect lighting. As a result, I spent time altering the textures and lighting until the model was similar to the blender model.
Controlling Movement
: Originally, for class-platform use, I added the ability to touch to call the host. However, this made it impossible for the user on a mobile to travel around the model without triggering the chatbot ! To alter this I change the input.
Built With
amazon-web-services
blender
diagflow
inkscape
sumerian | Cultural Institute Preservation + Information for Businesses | Cultural Institute Preservation + Information for Afri-Centric Businesses | [] | [] | ['amazon-web-services', 'blender', 'diagflow', 'inkscape', 'sumerian'] | 9 |
10,390 | https://devpost.com/software/black-lives-matter-e963vk | Inspiration
In light of the current events, we have created a filter that unifies all those who support the colored communities and individuals, and those who have faced experienced discrimination due to their skin color. We want to remind the people about the ideals of the free world and free America. It is important to commemorate the fact that during this tough time we have to live in harmony and support those who are in need.
What it does
We've created a virtual world that portrays a few of the most significant colored figures in the world. People can use this filter to show their support to the colored communities and individuals while learning about the famous quotes from famous personalities: Martin Luther King and George Floyd.
How we built it
For building this project we used software like blender (3d modeling) and spark ar. Firstly, we had to create different assets for the effect. For that we used blender. We created the 3d model of the personalities, then the environment, and finally the textures. The final step was to compile all the assets together while adding the different required animations. For the effect, we used the plane tracker and the animation sequence.
Challenges we ran into
We really wanted to make an impact in spreading racial inequality through this project, but had a difficult time finding the right way. To create our filter, we first had to make a 3d object using blender which was a really challenging task considering we were not so familiar with 3d modelling. Next came the spark ar part, where we spent hours trying to find the right assets and objects trying making the filter look like what we had in mind. Even trying to find the right images took a significant amount of time. And, after all that, the filter looked nothing like we wanted it to be. The position as well as sizes were messed up and we had to spend more time making it look good on a real device. But, after all that hard work, we finally made what we wanted, helped the community as well as had fun along the way.
Accomplishments that we're proud of
Initially, we all were not at all acquainted with the vicinity of Argumented Reality but after a lot of determination and hard work we ended up boasting a wonderful filter which unifies all the protesters against the discrimination and challenges faced by the Black Community . Our team member Satvik Kapoor came up a mind-boggling 3-D model which was certainly a proud moment for the team .
What we learned
We found that educational AR representations were beneficial for learning specific knowledge and increasing participants' self-efficacy . After gaining a ton of knowledge about Augmented Reality , we believe that AR can radically transform STEM learning by making challenging concepts accessible to students. We even gained some knowledge about animations and the lives of black people while researching about them . Moreover, being introduced to SPARK AR was an awesome experience for the team and we hope to continue gaining wisdom in this field
What's next for Black Lives Matter
We intent to promote and create awareness about the movement at a large scale by uploading our filter on various social websites such as Facebook and Instagram.
Built With
blender
sparkar
Try it out
github.com | Black Lives Matter | We allowed people to contribute to the Black Lives Matter movement right from their homes through the biggest medium: social media. | ['raghav gupta', 'Divij Jain', 'Satvik Kapoor'] | [] | ['blender', 'sparkar'] | 10 |
10,390 | https://devpost.com/software/restar-t-a5b8gi | Splash Screen
Onboarding 1 - The Basics
Onboarding 2 - Support Systems
Onboarding 3 - Your Reasons
Dashboard
Reflection Page
Making a Journal Submission
Shake Support Page
Notifications
Resources and Links Page
Community Feed
Sharing a story
Resources Page
Resources Page
Resources Page
💡 Inspiration
What sparked the idea for restar-t was a conversation about
rehabilitation and the irony of it
. Majority of those needing rehab are often lacking the income to attend. Upon doing more research, we came across this
shocking socio economic statistic
: approximately
40% of homeless individuals
and up to
70% of homeless youth
struggle with
alcoholism
. The
costly
price of addiction means that these individuals often live in poverty, unable to afford rehabilitation or the essentials necessary to gain employment. Given that over
95% of homeless individuals have mobile devices
, we wanted to create a more
affordable
and
accessible
solution that could help
uplift
these individuals to lead healthy and stable lifestyles.
🤔 What it does
Restar-t is an Android app that makes the path to alcohol recovery more
accessible and affordable
, by providing individuals manageable alcohol consumption goals to slowly
taper off their dependency
.
When a user creates a restar-t account, they fill in some basic information about their current dependency on alcohol so we can appropriately
track their progress over time
. After that, they have the option to add a
trusted individual’s phone number
that can monitor their progress, receiving
updates
on any relapses. They’re then required to list their
3 greatest reasons for wanting to change
. Based on their initial alcohol intake, we design a custom tapering plan with achievable daily targets, to help them reach sobriety without nasty withdrawal symptoms. Even after they reach sobriety, they can continue to track their progress!
Restar-t also encourages the user to
reflect
on their day and
keep track
of how they are feeling
emotionally
as well. Alongside this, the dashboard displays
relevant statistics
since the start of the user’s recovery, such as their current streak in order to continuously
motivate
them.
In order to help keep the user on track, every time the user is tempted to relapse, they can
shake the phone
. This brings them to a page which displays a countdown timer of
5 minutes
to resist their temptation. This page also provides the user an option to
call
their trusted person, a hotline,
write
an entry in their journal, and
reflect
again on their earlier answers on why they sought this change.
Another key feature of restar-t is the
reflection center
, where the user can
view and create
their daily
journal entries
. Each journal entry prompts the user for their mood, whether they met their alcohol target, and their thoughts on why they did or didn’t. If the user hasn’t submitted an entry
around 10:30PM
, then the app will send a
notification
reminding them to!
Additionally, there’s a
feed
for users to
anonymously share their stories
in overcoming addiction that provides a motivational place for users to
know they’re not alone
in their journey.
Restar-t also features a
resources page
that can launch
Google Map
directions to the nearest
Alcoholics Anonymous center
, along with
basic information
on alcohol use, services and resources the user can use, as well as other methods they can use to aid them in their recovery.
Regardless, restar-t is
not by any means a replacement
for professional services like conventional rehabilitation, but rather an alternative for those who have nowhere else to turn to. We
researched
recommended
tapering treatments
to addiction and substance abuse from trusted sources like verywellmind.com and drugrehab.com, and explored other affordable techniques that could
streamline the process
of uplifting those in need.
🧰 How we built it
With the serious and consequential nature of our topic, we first did a
substantial amount of research
on alcohol measurements, proven tapering strategies, recovery techniques etc. to
ensure
we were providing an
accurate
and
helpful
resource.
Together, we also researched the most
accessible
solutions to alcohol dependency. This is what led us to decide on a
mobile app over a website
, as well as what informed our
tapering algorithm
, and the
creation of our reflection page
.
Using those ideas as a
focal point
, we worked together to build different prototypes in Figma, until we discovered a suitable style to best convey an intuitive, motivating and comfortable design that reflects both the
hopeful and mature
nature of the topic.
As a team, we all tried to
push ourselves
to dabble in different areas. We explored
different areas
we weren’t so familiar with, whether that was back-end, front-end, or using
new APIs
, we taught one another to help us
learn
and
grow
along the way.
😅 Challenges we ran into
One of our
biggest initial roadblocks
was actually our
design and concept
. We debated for
hours
about how we could attempt to motivate users while also
respecting the gravity
of the situation. We started from an intense gamification concept that
bordered
a juvenile design, but arrived at the clean but
hopeful
design of our final product through the power of
experimentation
and
brainstorming
as a team.
Implementing/testing shake function:
To launch the app when the phone is shook, we used the built-in accelerometer (and some math!) to determine the triggering motion. However, one of our team members was using an emulator, which made for a very tedious testing process. We decided to add an alternate pathway to access the same screen, which allowed for more user freedom - and it made it a lot easier on our end too!
Algorithms to track progress:
Designing an appropriate way to quantify and taper alcohol consumption was unfamiliar territory for us, but we were determined to ensure the accuracy of our app. We researched topics including the ABV of alcoholic beverages, the quantity of alcohol in a standard drink, the best way to create a tapering schedule, etc. - all in order to implement the most appropriate algorithms and calculations.
Countdown time:
The timer on the relapse page was a bit difficult, as we had to wrap our head around how the countdown timer could work. After following a few different tutorials and having different members attempt to implement this feature, we still couldn’t get it to work. It wasn’t until we all came together with our knowledge learned that we implemented this feature. Once you open the screen, it begins counting down, and after 5 minutes of allowing the user to self-reflect and take their mind away from drinking, it redirects the user to the dashboard.
💜 Accomplishments that we’re proud of
Shake Detection:
Using a sensor event listener, we are able to detect and interpret motion from the phone’s accelerometer to launch a screen in the app. Although we didn’t have any prior experience with motion tracking, the feature worked like we hoped it would, thus offering a reflexive response to a user’s urge to drink. It was fun adjusting the sensitivity of this sensor too!
Making use of SMS & calling:
We used the phone’s built-in texting and calling functionality to facilitate contact with a trusted individual. We understand that it can be hard to reach out for help, so we
automated the process
through a non-confrontational support system. This the
first time
for us all playing with features outside of the app so it was amazing how we were able to implement this.
The UI/UX design:
We’re super proud of our UI/UX design because of how difficult of a journey it was. We spent a lot of time
prototyping, testing color schemes, and design styles
that would best represent the goals of our application and resonate with the target audience. From gradients to isometric designs, the process of trial and error was an experience that taught us that good results can come from perseverance.
Progress bar:
At first glance, having the progress bar move simultaneously with the user’s progress looked incredibly difficult. However, by carefully looking through documentation and tutorials we discovered this feature was already implemented within android studio. Many things may seem harder than they appear so we’re glad we decided to implement it even after believing it was extremely difficult.
🎓 What we learned
Alongside improving and streamlining our skills in mobile development, through this experience
we learnt a lot in areas we didn’t think we would
. When researching we learnt about mental health and addiction, as well as which members of a community would be most susceptible—
vulnerable people
suffering from homelessness and/or poverty.
In terms of technical skills, we learnt a lot about design - how different design styles can shape the audience, motivations and atmosphere of any applications, whether it be the colours, fonts or even the colour blending.
We also experimented a lot more with how to make use of different sensors and permissions in devices, from sending SMS messages, making calls, to using the built-in motion sensors to make for more flexible and unique user interactions.
Finally, we learned about how
difficult
recovery from an addiction can be and the complexities of the process, which was why we wanted to make an app to
aid them in the process
.
⏩ What's next for restar-t
We would like to make restar-t able to support individuals’ recovery for
other drugs
and substances that have the potential to be abused, with
even more extensive research
to ensure
safety
.
As well, we’d like to implement more customization options where users can select the timeline over which they’d like to taper off of their addiction, with certain minimum durations fixed by the app according to medical recommendations.
We’d also create a
donation page
that compiles Non-profit Organizations or Charities that promote sobriety and aid with overcoming addiction for those looking to support the cause.
Another feature we’d like to implement is an alternate portal for the user’s trusted contact (family member, friend, sponsor or therapist) to sign into the app and view the user’s overall progress or journal entries if given permission.
Another idea we'd love to implement would be
helpful articles and information
can be added to the resources section. The information can be
geared towards the user’s geographic location
using web scrapers to find information that would cater the app towards the user.
Finally, allowing users to
compile lists of their most trusted resources
in the forums, enabling users to
support one another
through their
collective journey towards a better life
.
Built With
android-studio
figma
firebase
google-maps
java
xml
Try it out
github.com | restar-t | You’re living in poverty, struggling with mental health issues, and alcohol has taken its toll on you. You’re unable to afford rehabilitation, and all you want to do is restar-t. | ['Bonnie Chin', 'Kailey Chen', 'Grace Gao'] | [] | ['android-studio', 'figma', 'firebase', 'google-maps', 'java', 'xml'] | 11 |
10,390 | https://devpost.com/software/why-you-should-say-blm-instead-of-alm | (Sorry if the thumbnail came out bad)
Inspiration
I've seen many people get confused about the difference between BLM and ALM, so I thought this would be a good idea to choose.
How I built it
I used Scratch to make all of the drawings and text.
Challenges I ran into
The challenge I ran into was trying to make this informative, but simple and sweet at the same time. I didn't want to make it a 30 min slideshow that no one would want to pay attention to after a while
What I learned
For this, I did a lot of research, and during this research, I learned a lot of the United States history and the racial injustice that has been occurring for the past years now.
How to run project
The .sb3 file can be open by creating a new Scratch project and going to file and choosing "Load from computer" and you can choose the file. You can also view the project online with the link provided.
Built With
scratch
Try it out
scratch.mit.edu | Why you should say BLM instead of ALM | A project explaining the difference between BLM and ALM | [] | [] | ['scratch'] | 12 |
10,390 | https://devpost.com/software/equalize | The home screen for equalize
The submit page that leads you to the wage report or incident report forms
One of the graphs on the Statistics pag
A collection of reports submitted to the website
Inspiration
We were inspired by the Black Lives Matter movement and the ongoing fight for equality. One part of this is advocating for pay equity — it is not uncommon for people belonging to visible minorities to be paid less than their colleagues even if equal work was done. We also took inspiration from raheem.ai, a site where people can report on, and share their experiences with, police conduct for our Incidents section. Having platforms like these, where people can share their own stories is immensely impactful and emphasizes the human element of the problems at hand.
What it does
With equalize, you can view statistics relating to the wage gap between people of different races, genders, ages, and areas of work. All of these statistics come from our database that you can contribute to by filling out a wage form. You can also read other people’s experiences with workplace discrimination in the Incidents page and submit your own account by filling out an incident report form. These features are all meant to highlight workplace discrimination and how much a person’s identity currently affects this.
Our goal with equalize is to educate people and make them aware of workplace discrimination. When more people recognize and understand why the wage gap and other forms of workplace discrimination exists, the support for pay equity will be so much stronger.
How we built it
We built the website using HTML, CSS, and JavaScript on the Glitch platform to allow for easy web editing. After finalizing our idea, we split up the work and either started working on the front-end or on creating and using the Firebase Realtime Database. We eventually joint forces to be able to take information from the database, manipulate it and display it on the website.
Challenges we ran into
We ran into some challenges when it came to using the database since none of us have past experience with this. Our issue was that our code was not retrieving information from the database properly due to oversights in branching. Once we watched a bunch of tutorials, we realized where our mistake was and fixed it. We also ran into some trouble while trying to show a non-randomized key to save incident reports to but we were able to fix that as well after researching.
Accomplishments that we're proud of
We are proud that we were able to create a product that can help educate and provide information about racial inequalities and pay equity. This hackathon has shown us that we can make a difference using the tech tools at our fingertips. We are also proud of how much we learnt since we started into this project with not a lot of prior knowledge on back-end development.
What we learned
Our biggest learning curve was using the database. There were many times during the development of the website where we had to put our collective brains together to figure out what was going wrong with the database. Nevertheless, we always found a solution to the errors so we are very proud of what we learnt.
We also learnt so much more about the injustices that Black communities, and other minority groups, face in their daily lives. All of this research just made us more invested into our project and in the fight for pay equity.
What's next for equalize
We would like the continue working on this project since we believe that this can be a useful tool for people to start understanding the problem with workplace discrimination. One of the first features we would like to implement is a discussion feature, where people can interact and share their stories. This kind of open dialogue between people is so important since it helps in the understanding of other people’s lived experiences. We would also like to expand our language and currency options to create a more accessible and global website.
Built With
css
firebase
html
javascript
Try it out
equalize2020.github.io
github.com | equalize | equalize provides a public database of reports and statistics to shine a light on workplace discrimination. | ['Janvi Patel', 'Camilla Sophie Djamalov', 'Laurel Xiang'] | ["People's Favorite", 'Best Analytics Project'] | ['css', 'firebase', 'html', 'javascript'] | 13 |
10,390 | https://devpost.com/software/project-voice-of-the-world | The Voice of the World
This work aims to propose an information system for managing complaints of all types of prejudices and abuses for anyone who may be anywhere in the globe. The elaboration of this project was conceived with the concepts of BIG DATA, DATA LAKE and BLOCKCHAIN. Based on a collection of information contained in a report, a pilot project was developed to manage the complaints. In the pilot project, all people's complaints were described in an electronic spreadsheet, and based on this information, the complaints were identified and quantified, generating reports for management and decision making. With the identification and quantification of complaints, it was possible to produce management reports and information for future quality improvement work. These reports assist managers in making decisions, helping to identify the respondents with the highest rate of complaints, in the main problems. With the help of the reports generated through the pilot project, the manager can act previously in the denunciations, thus not causing a new denunciation of the same denounced.
Built With
app
bigdata
blockchain
datalake
opensource
website
Try it out
github.com | Project Voice of the World | Project aims to create a database with reports of prejudices and abuses of all kinds. | ['Jose Alexandro Acha Gomes'] | [] | ['app', 'bigdata', 'blockchain', 'datalake', 'opensource', 'website'] | 14 |
10,391 | https://devpost.com/software/coronavirus-map | Inspiration
According to a live case tracker at
https://www.nytimes.com/interactive/2020/us/new-york-coronavirus-cases.html
, New York alone has over 300,000 confirmed cases of coronavirus. We wanted to create an application that would better represent the number of cases in local communities, so that a user of the application can find the amount of cases in their area. Furthermore, when assessing the risk of not following social distancing protocol, users would be able to weigh in the number of cases in an area.
What it does
A user can login and register an account. In this process, they submit their information to the database and then that information is rendered as a marker on a map. The user can move around the map and see the corona virus cases around them.
How I built it
We built a single-page application seperated into a frontend, and backend. The frontend consisted primarily of a free Google Map API, and React-Redux. Furthermore, we needed a backend that used Postgres, Node.js and this database would store user information, and would have routes for retrieving this information in the frontend.
Challenges we ran into
Showing markers on the map on frontend when trying to retrieve information from backend.
Setting up the database foreign keys.
User authentication (login/signup) so that they can only access certain areas of the application when they have a user status.
Accomplishments that I'm proud of
Being able to use React-Redux
Being able to setup a functional backend
Being able to send information from frontend to backend
Being able to render markers on the Google map
What I learned
How to use a map api and set database
How to use React Hooks
How to use elephantSQL
How to use Redux store and local state at the same time in a component to add different functionalities
What's next for Coronavirus Map
Fix and polish the quirks of the website and make it fully functional
Implement a better UI
Built With
bootstrap
css3
express.js
google
google-maps
html5
javascript
node.js
postgresql
react
redux
Try it out
github.com | Coronavirus Map | Show a map with coronavirus cases in an area | ['Yoseph Ahmed', 'Andrea Habib', 'Mathew Davidov', 'Maria Jaramillo'] | ['1st Place (Team)'] | ['bootstrap', 'css3', 'express.js', 'google', 'google-maps', 'html5', 'javascript', 'node.js', 'postgresql', 'react', 'redux'] | 0 |
10,391 | https://devpost.com/software/meltman | Inspiration
We wanted to learn how to create a simple game on react and learn socket io.
What it does
It is a web app that allows user to live chat with other people and play hangman on the side.
How I built it
Using react, express, and socket io. We created the front end and back end in the same repository.
Challenges I ran into
Updating and keep track of states in react and the natural flow of a class component.
Accomplishments that I'm proud of
Creating my first react mini game.
What I learned
I learned how socket io is used to actively update the live chat.
What's next for MeltMan
Add more functionality such as allow users to play against each other in Meltman.
Built With
express.js
react
socket.io | MeltMan | Hangman game with live chat | ['jkrsn98', 'Victor Li', 'chunhz', 'kachengieong'] | ['2nd Place (Team)'] | ['express.js', 'react', 'socket.io'] | 1 |
10,391 | https://devpost.com/software/resume-builder-0nhjix | Inspiration
We're all college students, and every college student should attempt to have at least one internship before graduating. To do this, students must have professional and good looking resumes so that they can attract employers. We decided to make a web app that allows users to build a portfolio.
What it does
This site takes in user input and returns a resume with the user info.
How I built it
We used JavaScript and react primarily for the actual logic. We also used ReactStrap forms, and other elements to make the UI more visually pleasing. Our team worked together, utilizing pair programming to accomplish our programming goals.
Challenges I ran into
We initially had some trouble figuring out how to add multiple educational/work experiences but eventually figured it out. We also had some minor issues initially learning how to use Reactstrap but we figured it out.
Accomplishments that I'm proud of
What I learned
We all learned how to work effectively on Github as a team. We used it to keep track of all our work and ensured that we were able to complete Resume Builder as needed and on time. We also learned how to use Reactstrap
What's next for Resume Builder
We might consider adding some UI tweaks for the template along with allowing users to select different templates if they want.
Built With
css
javascript
react
reactstrap
Try it out
github.com | Resume Builder | Build a Resume with a few simple steps | ['sahaldos1 Asghar', 'Fatma Kausar', 'Taojie Tan', 'Imma-Olly'] | ['3rd Place (Team)'] | ['css', 'javascript', 'react', 'reactstrap'] | 2 |
10,391 | https://devpost.com/software/soccer-player-search | team search page
home page
Inspiration
Soccer game is one of the most famous sport around world. We come up an idea that make a website application that can search soccer players around the world and get information by calling APIs.
What it does
In our website application, the user will first go to the home page that describe how the soccer game plays. In the Home page we have several fact image that Wellcome all the fans of soccer around world. Furthermore, we have a player search page that allow user to search a soccer player name and get the information based on the soccer player name. Lastly we have a team search page that allows user search a team or teams from certain category.
How I built it
We try to use React to build a web application. First of all, we create component folder that categorize different container and views and routes. Then we create Home container, player search container, and team search container that works different function. We also user Redux to create Store, Reducers and Thunks folder to allow us grab the information from third party APIs and passing data. After we design how the web page looks like and separate our tasks. Each person from the team works on our own tasks so that we can make the process fast.
Challenges I ran into
The first Challenge I face is the API key I got from third party. It has the limited calls. I also facing the challenge that call the data from thunks
Accomplishments that I'm proud of
I'm able to build a web application
What I learned
I learned how to user git and GitHub to manage our team project and keep track on the code and make sure the application works. I also learned using React and Redux to build an web application
What's next for Soccer player search
we will add filter feature when user want to do a quick search. We will also do a game highlight for the teams.
Built With
api-football
javascript
react
redux
Try it out
github.com | Soccer player search | create a simpler way to search for our favorite teams and players. | ['tiantian xia', 'unique upreti', 'rehanGH Khan'] | [] | ['api-football', 'javascript', 'react', 'redux'] | 3 |
10,391 | https://devpost.com/software/react-portfolio-template-jeiapf | Home Page | Overview
Portfolios Page | View our custom created portfolios
Extras Page | View free online resources
Inspiration
We wanted to make an open source portfolio template, as not everyone has the time to create one from scratch.
What it does
The project serves to be a template that can be reused by anyone who wants to get started with a quick and easy template. It also serves as a resource guide to other free online templates.
How we built it
We took inspiration from other online portfolio templates. We used Bootstrap and CSS to style the pages and portfolio, and used React to create all the files and link them to a separate file in the project where the user can add and update their info.
Challenges we ran into
This was naturally our first time creating a portfolio, and it also had to be used as a template that is easy to download and customize. We had to research a lot of other portfolio templates to get an idea of what to build, and mess around with the styling to achieve what we have now.
What we learned
We learned a lot about styling with Bootstrap and CSS. We also learned about the difficulties of creating a portfolio from scratch, and how to link data between files. Finally, we learned about the importance of working together as a team and completing each of our assigned roles.
What's next for React Portfolio Template
Due to the time constraints, we were only able to make one template. In the future, we hope to make more portfolio templates, as design is based on the user.
Built With
bootstrap
css
react
Try it out
github.com | React Portfolio Template | The importance of having an online portfolio is increasing by the day, yet not everyone has one. We developed this app to help gather a bunch of reusable portfolio templates for you to choose from. | ['Jan Markus Milan', 'Vincent Xie', 'Lamarr Baker'] | [] | ['bootstrap', 'css', 'react'] | 4 |
10,391 | https://devpost.com/software/weather-app-4l9x16 | Inspiration
Wanted to be able to display how climate is changing and escalating over the years since our regular phone weather apps does not display that.
Difficulties
Only one day to work on this project due to starting internship late. Also had difficulty finding a climate change api.
Built With
css
html
openweathermap
react
Try it out
github.com | Weather App | Create a climate change app that visualizes the escalation of change over the years | ['Arslan Mahmood'] | [] | ['css', 'html', 'openweathermap', 'react'] | 5 |
10,391 | https://devpost.com/software/sharemycode | Inspiration
Originally, we planned to create a skribbl.io clone, so we decided that the minimum viable product for that app would be a working real-time chat box using socket.io. After completing the chat box, with many struggles and time constraints, we decided to go the simpler route and create a real-time notepad, similar to codeshare.io.
What it does
Real-time chat with other users
Real-time notepad to collaborate with other users
A jukebox that has one song for you to listen to while chatting and jotting stuff down
How we built it
Originally planned to use react-redux for the project, but we decided to experiment with something more modern like React hooks, compared to the class components we were accustomed to. For the real-time communication between front-end and back-end we used socket.io, built on an Express back-end. We then deployed the app using heroku.
Challenges we ran into
Had no idea how to use React hooks, so it took a while to understand it
Had no idea how to use socket.io, or even what sockets are, but we learned by example
A bit of struggle implementing the username system
Annoying configuration and deployment bugs for a single repo project, since we were accustomed to splitting up front-end and back-end into 2 separate projects.
Accomplishments that we're proud of
Actually made a working real-time chat and notepad in 3 days from the ground up
What we learned
React hooks
socket.io
Time management under constraints
Knowing what to prioritize
What's next for ShareMyCode
Syntax highlighting
Themes
Fully functional private messaging
Maybe actually build the skribbl.io clone
More responsive UI, move the chat input to the bottom and load the messages above it
Allow multiple cursors, show which user corresponds to which cursor
Remove users from list upon disconnecting
Fix an annoying user login bug that prevents them logging in after choosing a username that already exists
Built With
express.js
heroku
react
socket.io
Try it out
sharemycode.herokuapp.com
github.com | ShareMyCode | Codeshare.io clone with real-time chat room, and some music | ['Ricky Chon', 'PrimeNoodles', 'Michael Odusanya', 'Rabe Datta'] | [] | ['express.js', 'heroku', 'react', 'socket.io'] | 6 |
10,391 | https://devpost.com/software/ttp-team-3 | Bookstore App
Inspired
Beginning the idea is to create a bookstore storage checking system for employees checking the amount of each book in the store. If the book did not meet the min storage amount, employees have to order books from publishers. After we discuss, we change it as an online bookstore for the client.
Learn
On the project, we keep developing our knowledge of redux, react, API call, and connection between front end backend.
Built
This web app has a login function where the user must become a member then they are able to buy books, checkout.
The link in the navbar can lead the user to a different page.
The search bar allows the user to search the books by the inputted keyword.
The Home page displays three advertisements and ten newest books.
The Single page displays more information about the individual book and has an "add to cart" feature.
The Cart and Checkout page displays all the books that the user added to the cart and has a "remove" feature.
Challenge
Sometimes the function code doesn't work as we expected. It may be because of one or two syntax errors but we have to debug step by step to find out.
Also, we met the challenge that we need to check different conditions whether the book is available for sale or not, and display it on the page.
Built With
bootstrap
css
express.js
html
javascript
node.js
react
redux
Try it out
github.com
github.com | Online-book-store | This project is to build an online bookstore web app that users can search and buy the book they are interested in. | ['Veggier Jiang', 'Yimni Chan', 'John Stendardo', 'Omaru Jawara'] | [] | ['bootstrap', 'css', 'express.js', 'html', 'javascript', 'node.js', 'react', 'redux'] | 7 |
10,393 | https://devpost.com/software/q-up | Select a place of your choice to Q UP with real time updates of people waiting at stores
Q UP by issuing a ticket!
Get your ticket scanned to enter and exit at the store
Access all your tickets in one place with live updates of your spot in the Q
Inspiration
Recovering and returning to normal in the face of COVID is not easy, especially when we now have restrictions on customer occupancy in stores. People will have to wait in long lines outside, thereby putting themselves at risk. Q-UP was made to solve this problem.
What it does
Q-UP lets you wait virtually using our mobile app within the comfort and safety of your home or car. To do so, a customer can book themselves a spot in a virtual queue and simply enter the store using the generated ticket when it's their turn!
How I built it
Built with ❤️ using Dart, Flutter and Firebase.
Challenges I ran into
Our app considers both the customer and the business. Therefore testing the app with two phones (one to generate customer ticket, and the other to scan the ticket as done by a business) was challenging.
Accomplishments that I'm proud of
Getting real time updates to work with Firebase was intense, to say the least and is something we are proud to have accomplished :)
What I learned
Learned a lot about thinking about an app from different perspectives since we had to take into account about the customer as well as the business.
What's next for Q UP
We would love to scale up this app and prove its worth beyond the context of pandemic by enabling people to make their waiting time productive!
Built With
dart
firebase
flutter
google-cloud
Try it out
github.com | Q UP | Your phone waits in line so you don't have to. Virtual Queuing in the age of covid is necessary to ensure safety of customers, and even beyond the pandemic by making your waiting time productive! | ['Adithya T. Praveen', 'Dhruv Duseja'] | ['3rd, 4th & 5th place', 'API World 2020 Overall Winner', 'Best Use of Google Cloud - COVID-19 Hackathon Fund'] | ['dart', 'firebase', 'flutter', 'google-cloud'] | 0 |
10,393 | https://devpost.com/software/foodup-ytp3rk | Inspiration
From food to parcel deliveries, 2020 has accelerated the shift from brick and mortar stores to digital retail and online shopping. Bringing orders right up the customer’s doorstep is crucial for many retailers to compete and satisfy demand. Additionally, during the pandemic new problems emerged, such as how to re-route a delivery to comply with local lockdowns and the challenge of keeping drivers and customers safe while still delivering on time. So I thought of making an app that helps with it.
What it does
Our app helps users order food and help the business re-route a delivery to comply with local lockdowns and the challenge of keeping drivers and customers safe while still delivering on time.
How I built it
I used flutter and here API
Challenges I ran into
Integrating maps
Accomplishments that I'm proud of
Making the first version of the app
What I learned
Learned a lot about flutter
What's next for FoodUp
Plan to add more featuresres
Built With
dart
flutter
here-routing
Try it out
github.com | FoodUp | Our app helps Re-route a delivery to comply with local lockdowns and the challenge of keeping drivers and customers safe while still delivering on time. | ['Rishav Raj Jain'] | ['HERE Technologies - HERE Last Mile Hackathon'] | ['dart', 'flutter', 'here-routing'] | 1 |
10,393 | https://devpost.com/software/set-appointments-2y3jml | isochrone map from a person's location
Inspiration
Every time when anyone has a meeting with a client, the major issue is choosing a place that has a good ambiance and coffee or food and is comfortable for everyone. I did this app to solve that.
What it does
Organizing any event is a bit of a pressurized work, especially when all your friends or colleagues are located in different areas of the city and cannot decide on a location. This app helps the user to find a location that is equally easily accessible by all participants with public transportation. Alternatively, users can also propose locations they want and then vote on them, to avoid long discussion. I mainly focused on public transportation in Berlin because it works around the clock and is environment-friendly, convenient, and is a primary choice for many people.
How I built it
This app is made with react native in the front end and the backend is made using PHP, Python, and SQL. I used the HERE API for the maps. The app will record the positions of the participants on a map and create an isochrone map for each participant, an appropriate location based on the isochrone map is searched in the areas where the map overlaps. The location determined by the app is equally accessible by all participants and also shows the shortest possible route for everybody. The participants can also receive a list of good locations that they can vote for fair organization and less discussion.
Challenges I ran into
Isochrone maps are challenging concepts. One could not rely exclusively on available options accessible through API. A lot of optimization and computation had to be done to find the optimal location on the map.
Accomplishments that I'm proud of
Implementing and combining many APIs and technologies. Determining the optimal position based on isochrone maps of areas accessible through public transportation. Being able to develop a concept for a meaningful application that can be used in real-life situations in such a short time. Organizing a team of people who never previously worked together.
What's next for Set Appointments!!!
Because many events are organized in WhatsApp groups and conference calls, one could integrate this feature in an AI assistant or a chat-bot, to help users organize events even more convenient. Our concept can be extended with an extended interface for location selection based on multiple activities and Trip Advisor or Google reviews. Many meetups end up with a bill that has to be shared. Paypal integration can support such use cases. Car and bike-sharing transportation opportunities may be added to the analysis.
Built With
here
php
python
react-native
sql
Try it out
github.com | Set Appointments!!! | App that allows users to set meeting in a more productive way. | ['C kavya Shree', 'Rethesh Raghav'] | ['HERE Technologies - HERE Last Mile Hackathon'] | ['here', 'php', 'python', 'react-native', 'sql'] | 2 |
10,393 | https://devpost.com/software/path-finder-bwxvh0 | Inspiration
Fascinated by algorithms so wanted to implement it
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Path Finder
Built With
atom
node.js
react | Path Finder | Finding the shortest path | ['A R'] | [] | ['atom', 'node.js', 'react'] | 3 |
10,393 | https://devpost.com/software/number-classifier | Inspiration
My inspiration can from the number of ways machine learning is used to recognise images, and so wanted to work on a project that can do something similar
What it does
It receives an image containing a number that has been drawn and returns the number recognised
How I built it
It was build with a python flask
Challenges I ran into
It took me a long time to build the model because of a computer with low compute power
Accomplishments that I'm proud of
I managed to accomplish the tasks in time
What I learned
I learned not to give up when faced with a challenge
What's next for Number classifier
What is next is to place a user interface for people to draw numbers and let the model recognise the number
Built With
python
pytorch
Try it out
flask-app-torch.herokuapp.com | Number classifier | A number classifier used as an api to recognise handwritten numbers | ['Oburusule Dunstan'] | [] | ['python', 'pytorch'] | 4 |
10,393 | https://devpost.com/software/needydelivery_mobile | Launch screen
Food selection display
Order display using HereMaps
Route display using HereMaps
Inspiration
On July 31st of this year, there has been a decrease in volunteers and an increase in demand of food banks because of Covid-19
see here
. In order to relieve some of the pressure piled on top of food banks, we are creating an efficient system where food banks can deliver food to people directly so that there are no crowds/lines, people stay at their location, and there is little to minimal contact.
What it does
It delivers food from food banks, grocery stores, and other food facilities to people that place an order.
Essentially connects users that aren't known, with resources to fulfill their basic needs. Reduces food waste and solves food shortage.
How we built it
We built it using Pyhon, Django, Android Studio, and Xcode.
Challenges we ran into
Some challenges that we ran into was debugging the existing code from last time and having to implement some Apple specific features to be able to publish it on the Apple App store
Accomplishments that we're proud of
We are proud that the application is published onto both the Apple and Google Play Store, and that it is ready for food facilities to take advantage of delivering food to needy people.
What we learned
We learned how to use django as an python administrative framework, how to implement _ any _ maps api onto the application (we have versions for NEAR and Google Maps), and how to implement stripe as a payment feature for shipments.
What's next for NeedyDelivery_Mobile
We plan to reach out to local food facilities that want to increase their food delivery efficiency. Once they partner with us, then they can request any changes to the application that they think would be beneficial for the app. _ Example: Deliver large loads to large encampments that are further away first, the deliver the smaller packages to those we request food on the way back to the food facility._
There will also be an expansion where individuals can deliver food instead of food banks.
Built With
android
ios
java
python
swift
Try it out
needydelivery.org
play.google.com
apps.apple.com | NeedyDelivery_Mobile | Deliver donated food to people that require food assistance. | ['Jason Hoang', 'Antonio Mendieta'] | [] | ['android', 'ios', 'java', 'python', 'swift'] | 5 |
10,393 | https://devpost.com/software/api-world-2020-hackathon | Introduction
App Goal
About Me
Summary
Addtional UI proposition
Technologies Used
Basic UI implementation
I am aspiring data scientist and a student pursuing a computer major at University of California (SC)
While I am conversant with Django and other UI frameworks, I wanted to focus on the data science aspects of the hackathon and not get weighed* down by the UI aspects (e.g. react).
Hence, I focused on using the Here Dev REST API (as a primary data source) and then build my own python app. The advantage of using Python (as opposed to say Java) is the rich set of AI/ML/NLP libraries available.
My App Goal:
Using AI/ML/NLP find business with certain user-defined characteristics.
There are plethora of apps that show standard information about businesses but very few that can process normal human questions and provide meaningful information. The app uses AI/ML/NLP and the HERE DEV REST API as data source.
The ability to process normal human queries is especially useful when one is busy (e.g. driving) or those who are less computer savvy.
Unlike a lot of examples on the Here Dev site that are front-end oriented and use some UI stack(react/flask/ect), I have focused on using the Dev Here REST API for data source and providing value add building my own logic for AI/ML/NLP. This is very useful for data science folks such as me.
Built With
geocoders
here-rest
pysimplegui
python
Try it out
github.com | API:World 2020 Hackathon | Using AI/ML/NLP find business with certain user-defined characteristics. | ['Elroy Lobo'] | [] | ['geocoders', 'here-rest', 'pysimplegui', 'python'] | 6 |
10,393 | https://devpost.com/software/edubattle-jz5sdp | ..
Built With
css3 | . | . | [] | [] | ['css3'] | 7 |
10,393 | https://devpost.com/software/jobs-for-you | The Main Page Of Jobs For You
Profile Choices
Worker Profile Page
Worker Login Page Supporting Multilingualism
Company Profile Page
Company Login Page
Inspiration
The pandemic has been hard on everyone but the deprived class comprising daily wage earners, domestic help, vegetable vendors etc. have been facing economic hardships losing their source of income and bread and thus becoming the collateral damage as the world is testing new strategies in adopting the new normal. Seeing complicated job hunting platforms and none catering to the needs of the daily wage workers and migrant communities inspired me to take a simplified and intuitive approach towards incorporating technology into the lives of the weaker sections of the society. There are small businessmen looking for workers to provide help when it comes to packaging and transportation of goods but the unawareness of opportunities like these has led to a gap in the two sectors of society.
How It Works
The highly simplistic and intuitive platform has two profiles namely Working and Company for both the job searcher and job provider. Based on one's agenda they can choose the profile and get them signed up. Keeping in mind that the deprived communities may not be familiar with English as a language, get intimidated by tech and have a hard time trusting it, we have introduced multiple languages to take in input from the user. Forms have been added in two languages (for the time being) to take in input which has questions like name, location, radius of work,type of work etc. from both profiles post which they will be contacted via phone calls for a personalized job searching experience.A 24*7 helpdesk has also been set up for solving doubts, questions and other queries again supporting multiple languages. Covid-19 protocols have been mentioned as reminders in the midst of job hunting.
How I built it
Finding out about API Hackathon on 26th October,2020 and keeping in mind the time constraints, the working prototype has been designed on google sites and google forms to check the feasibility of the idea though the actual implementation of the idea is via app. For the front end, React is being planned to be used along with using Firebase for authentication purposes. For the backend, Django can be considered along with using a database software like MongoDB .For the multi language support system, a neural network can be used for the translation. The google forms are being used as a data input and storage platform in the working prototype.
Challenges I ran into
The most challenging factor in compiling this idea has been designing a simplified framework which would welcome the deprived sections and build a trust factor between them and technology rather than chasing them off and guiding them to use the traditional methods of job hunting. Another most challenging factor was incorporating multiple languages so that the application is noticed amongst low-wage workers and actually helps the.
Accomplishments that I'm proud of
I am proud of the fact that I was able to design a prototype that is not only simple and intuitive but actually solves the real-world problems in providing a platform to the deprived sectors of the society. The highlight of the prototype is that it is applicable to any part of the world and its intuitive structure along with multiple language support systems makes it possible.
What I learned
While studying other applications like LinkedIn, Monster.com etc. I found them confusing, overwhelming, complicated as well as competitive and under-focused and realized the fact that they are not catering to the needs of daily-wage workers and overlook the deprived sections of society. On looking more into the matter I realized that there isn't any platform specially catering to their needs and in the time of new normal they are still using the old ways of looking for job opportunities.
What's next for JOBS FOR YOU
Jobs For You, being in the initial stages has tremendous potential in solving real world problems of unemployment and targets the minimal-wage workers which are in majority. The following are the areas for development currently being targeted -
1)Multilingualism- Incorporation of a vast number of languages will help the worker in filling accurate information and lead to development of trust on the platform.
2)Personalized Phone Calls- Post registration on the app, the worker and company will be contacted via phone call and email, whichever preferred by them to get an in depth idea of their expectations from the platform and making the most out of the platform. It will also lead to accepting technology with open arms after knowing that it is there to help them.
3) Strict Evaluation Of Working Ethics- In depth analysis of workers and companies registering on the application along with inspection of the workplace , the same uploaded on the platform so that both parties are taken care of and no case of exploitation happens as the deprived sections of the society are the most vulnerable communities. Keeping in mind the pandemic still present, guidelines and optimum measures are to be taken keeping in mind the health of the workers and decreasing the risk of catching the virus.
Built With
google-docs
google-image-search
google-sites
Try it out
sites.google.com | JOBS FOR YOU | A simple and intuitive working prototype of high-impact job search platform incorporating multilingualism centralizing the low-wage workers and bridging the digital divide. | ['Abhishree Verma'] | [] | ['google-docs', 'google-image-search', 'google-sites'] | 8 |
10,393 | https://devpost.com/software/student-assignment-system | MAIN_PAGE_OF_PORTAL
FACE_AND_BLINK_RECOGNITION
STUDENT_WORKSPACE
Inspiration
In today’s world, online teaching is a fast-growing industry. And along with it, students have numerous ways to do their Homework / Assignments / Quizzes / Tests, etc using illicit means. Due to the shifting of the education system from offline to online resources, institutions face difficulties in Fair Evaluations of the student’s performance. And thus there is a need for an application which can provide authentic assignment submissions so that fair evaluation can take place
How This Idea Came Into Existence
I started learning python in the month of April. As every python learner, I also aspired to create a facial recognition module. Within a month of learning the module. I was able to build a face recognizer system within a month or so!
But it only was able to show a rectangle around anyone's face.
Then, I left that module and moved on to learn advanced python Then I learned Tkinter, a GUI maker for python. I learned to develop various desktop screens. Further, I went to learn Data Science, in which I came across NLTK.
In all these learning phases I made small modules just for the sake of practice and exposure to the language. Little, did I know that all these things would be part of a bigger perspective.
Thus, I was ready with my technical stack. All I was to get was the INSPIRATION😅😅
Now, in early October came the semester quiz for our batch. It was held either on Google Forms or we had to upload it on the Google Classroom Portal. This is an excellent portal for the management of things but to keep a check on data submitted by the students is transparent or not, Google Classroom fails. And all this led to striking my mind to build such kind of Project.
Hope you all will like my Idea!!
What it does
To tackle the above problem we have designed a solution to the advanced assignment submission portal. This solution will allow students to upload handwritten assignments and time based live assignments/tests would be conducted at this portal. It will provide automatic submission of the assignment if the focus of the screen changes to another application. It will also have a student-teacher interaction portal.
How I built it
It will allow students to log in through face and blink recognition to ensure a real-time liveliness detection approach against photograph spoofing. It will have Real-time monitoring i.e. it will constantly monitor the face of the student during their timer-based assignments on our portal. It will provide automatic submission of the assignment if the focus of the screen changes to another application. It will have the feature of converting speech to text in the live assignments. Converts handwritten assignments to digital format to check the plagiarism. It will also have a student-teacher interaction portal.
Challenges I ran into
Each and every module posed a different challenge. Blink Recognition was the most difficult part. Other than that I am very bad with colors. Hopefully, you all will like the color schema of the GUI😅😅
Accomplishments that I'm proud of
How is your proposed product/ process/service being different/ better from a similar product/ process/ service, if any, in the market (Max 100 words)
My product is more innovative than other similar products in the following aspects:
FACE AND BLINKS RECOGNITION
REAL-TIME FACE MONITORING
SPEECH RECOGNITION
PLAGIARISM CHECKER
REAL-TIME BASED ASSIGNMENT
NEURAL NETWORK-BASED HANDWRITING RECOGNITION
What I learned
I learned to develop the following things :
FACE RECOGNITION
BLINK RECOGNITION
REAL-TIME FACE MONITORING
SPEECH RECOGNITION
PLAGIARISM CHECKER
TIME-BASED ASSIGNMENT
What's next for STUDENT ASSIGNMENT SYSTEM
The next modules to be developed will be :
AUTO SUBMISSION OF ASSIGNMENT ON SCREEN CHANGE
INTERACTION WITH TEACHER THROUGH THE APPLICATION
AUTOMATIC NOTIFICATION OF ASSIGNMENTS TO STUDENTS THROUGH SMS AND MAIL
NEURAL NETWORK-BASED HANDWRITING RECOGNITION
Built With
face-recognition
machine-learning
nltk
open-cv
python
python-email
speech-recognition
sqlite
tkinter
Try it out
github.com | STUDENT ASSIGNMENT SYSTEM | AN ADVANCED EDUCATION PLATFORM TO TACKLE PLAGIARISM | ['Inderpreet Singh'] | [] | ['face-recognition', 'machine-learning', 'nltk', 'open-cv', 'python', 'python-email', 'speech-recognition', 'sqlite', 'tkinter'] | 9 |
10,393 | https://devpost.com/software/whereami | Inspiration
Today we have a problem that too much data is held by large companies. This project is about passing data into the hands of the data producers.
What it does
The initial app is for gps from cars. The gps data is recorded for car traffic and then available for all users. This is stored in a blockchain ledger and hence the data is owned by the car driver producing the data.
How I built it
This uses graphQL as the API service and then Hyperledger Fabric to store the data.
Challenges I ran into
The main challenge was with cors using graphql and https.
Accomplishments that I'm proud of
The GraphQL works for a stand alone application.
What I learned
I learned about GraphQL.
What's next for whereami
The next stages are to fully integrate a mobile app and extend into all devices which generate data. This is especially relevant for flying cars which are part of an emerging market.
Built With
android
android-studio
blockchain
graphql
mongodb
node.js
Try it out
github.com | whereami | To record gps for cars and own the data | ['trevor oakley'] | [] | ['android', 'android-studio', 'blockchain', 'graphql', 'mongodb', 'node.js'] | 10 |
10,393 | https://devpost.com/software/highrise-reality | Simulate the view from any window in a building by tapping on it!
Built With
here
realityscript
unity | Highrise Reality | Simulate the view from any window in a building by tapping on it | ['Yosun Chang'] | [] | ['here', 'realityscript', 'unity'] | 11 |
10,393 | https://devpost.com/software/medrem |
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logo
Mobile devices are used all over the world. Everyday new devices are incoming into the market with innovative options, thanks to growing technology.
Almost every household has one or more people suffering from a chronic or any other illness. It becomes a problem keeping track of time to take medication. Taking your medication on different times is very dangerous, it can cause serious illness or even death.
MedRem is a mobile application designed to remind users to take their medication on time and keep healthy. Compliance with medication ensures the drug's effectiveness and reduces the risk of unfavorable events.
MedRem is user-friendly. It offers personalized reminders for each day, and it also sends a next of kin an alert for a missed medication reminder. MedRem aids you to stay in control of your health. MedRem plans on allowing users to order medication through us and we'll deliver with a fee.
Medrem has a doctors amd pharmacist search engine to allow our uses to find help near their homes.
Built With
firebase
heremaps
html5
ionic
scss
typescript
Try it out
github.com | MedRem | medical application which assist clients with medical intake and has a shopping cart to sell medication | ['Nkosinathi Mtshali', 'Chuma Damane', 'Thabo Mafoho'] | [] | ['firebase', 'heremaps', 'html5', 'ionic', 'scss', 'typescript'] | 12 |
10,393 | https://devpost.com/software/solution-uy6fv9 | Inspiration Lots of Pasto verde
What it does get high
How I built it HArd
Challenges I ran into Everywhere agains any kinezer
Accomplishments that I'm proud of Nothing
What I learned Everything
What's next for Solution =0
Built With
html5
php | Solution La la | We we tried hard, really hard | ['Boris Kocar'] | [] | ['html5', 'php'] | 13 |
10,393 | https://devpost.com/software/iso-payments-structured-address | Sample unstructured customer name and address in MT 103 message
Sample structured customer name and address in ISO20022 pacs.008 message
Original message with unstructured bank address details
Enriched message with bank address structured using geocoding API
A sample rule, calling the structure address function
Rules editor allowing end users control on which messages to use the API calls
Open API Docs
Deployed to Google cloud run, scaling on demand
Integrating Here.com API with ISO 20022 messages
Inspiration
ISO 20022
is a global standard for the financial industry that is used in payment systems in over 70 countries. There are over 200 initiatives globally to move financial messaging to ISO 20022 formats. In the coming years, it will be the de facto standard for high-value payment systems of all reserve currencies. This will provide greater interoperability, improved straight-through processing, efficient compliance processes, and richer Payment Data. ISO 20022 integration comes with several challenges, existing payment formats such as MT are loosely structured.
There is a strong global regulatory push to use structured party name and address information for payments. Typical high street banks in the UK will have 20-30 million customer records and hundreds of millions of beneficiary customer records stored in an unstructured format. Manually updating the records to structured addresses will require massive operational effort and cost; an automated approach will go a long way in making the transition manageable.
A piece of typical customer information in an older style ‘SWIFT MT 103’ message uses unstructured customer information from bank records.
The equivalent ISO20022 payment message will require the Name and address information to be structured in line with the standards.
The
SWIFT Payment Market Practice guidelines
state:
Market Practice Guideline #1: The global community should target November 2023 as the end-date for unstructured customer information payments, regardless of their format (ISO20022, FIN or native clearing).
What it does
The PayToolz payments toolkit is designed to simplify ISO 20022 integration. One of the big issues is the lack of structured content as the older style MT messages use unstructured content which has been built up over the last few decades. We have used machine learning and text processing to enrich bank details and here.com geocoding APIs to structure addresses from unstructured text.
A sample unstructured bank name and address has the address details provided as 3 free format lines.
The bank details are enriched using PayToolz DSL/Rules Engine that makes a call out to Here.com’s Geocoding API:
How we built it
We used scala to generate JVM bindings from the ISO 20022 XSD files, wrote a DSL in scala using type classes and code generation for easy access, used
Monocle (Optics)
for accessing and modifying deeply nested classes. API is published using Open API. The application is deployed to serverless infrastructure using Google Cloud Run providing scaling out on demand..
Challenges we ran into
ISO20022 uses deeply nested structures that are extremely difficult to update. There are multiple versions of the same messages in use, which requires any logic to be repeated many times.
Reference data used to identify banks is proprietary and not freely available.
Accomplishments that we're proud of
We have an user friendly DSL and ability to structure messages unobtrusively. The integrated rules engine allows users to take control of their payment enrichment needs.
We have combined our domain knowledge with technical know-how to create a solution that solves one of the financial industry’s most pressing issues.
What we learned
XML handling was more challenging than the machine learning, natural language processing and the API integration
What's next
Support for country specific address structure e.g. US States.
Validations to ensure full address has been mapped.
Natural Language Processing support to identify names from combined name and address information.
API to allow customers to find payee’s bank using the bank’s address and enrich with relevant banking identifiers.
Built With
flashtext
google-cloud-run
here-geocoder
monocle
openapi
react
scala
Try it out
paymentrulesui.herokuapp.com
paymentrulesui.herokuapp.com
api-usfm34velq-uc.a.run.app
paytoolz.com | ISO 20022 - Payments Structured Address | Improve payment processing by structuring text | ['Deenar Toraskar', 'Tushar Saksena'] | [] | ['flashtext', 'google-cloud-run', 'here-geocoder', 'monocle', 'openapi', 'react', 'scala'] | 14 |
10,393 | https://devpost.com/software/remedu-remote-education | Manage notes/documents
Login for Student/Parent/Teacher/Admin
Sign up/Register for Admin/Organization
Attendance/perforamance Tracker
Manage Classroom/private room discussion
Manage Task/Assignments
Inspiration
To Help My sister who is studying in remote and struggling daily to handle her tasks.
What it does
-It keeps and maintains all the discussions in one place.
-Can create and share notes and documents in an organized way and can be managed in one place
-Can create and share tasks/assignments and can track them in one place
-Can Create classes as events and mark them in calendar with reminders . so they never miss them
-Can connect video/audio call, shared screen for academic sessions
-Can track students attendance and performance history
How I built it
Me & my friend built it with android studio for front end and python for backend and deployed as serverless in nimbella cloud platform.
Challenges I ran into
We ran into lots of challenges. As we are new to all these platforms
Accomplishments that I'm proud of
We are proud that the app is working as expected{though a some more needs to be implemented yet}
What I learned
Kotlin,Coroutines,room database,Jitsi,Serverless deployment,mongodb,postman
What's next for RemEdu (Remote+Education)
To approach schoools and other educational institutes to use this app in realtime.
Enhancements Planned
-Implement payroll system for admin/operations on faculties
-Implement Online examination
Built With
android
mongodb
nimbella
python
Try it out
drive.google.com
drive.google.com | RemEdu (Remote+Education) | Students struggling to do remote study - We are giving a One Point Stop that solves their issues | ['Athithan Raj P', 'Jagadish S'] | [] | ['android', 'mongodb', 'nimbella', 'python'] | 15 |
10,393 | https://devpost.com/software/smart-calendar-cq0uj1 | Creating events for extracted dates from the image source
Create a calendar entry with one click
Extracted event dates on any web page
Event dates on a image
Inspiration
We have a bit lengthy process to do simple things like creating calendar entries from webpages. To do that, we need to open our calendar, copy the subject line, and then we have to update the required fields manually.
Also, the lack of a chrome extension for this simple task inspired me to take this project.
What it does
Smart Calendar automatically -
Creates calendar entries
by scanning through the active webpage.
Able to identifies** dates, subject, time, and appropriate time zones**~~ through intelligence.
Also,
updates relevant fields in the calendar.
How I built it
It
takes a screenshot
of the active webpage.
The
screenshot
is
processed by Tesseract
to extract text from the image.
Then it
identifies
subject, date, time and time zones
from the extracted text.
Updates
relevant
fields in the calendar with all the extracted parameters.
Shows the calendar in edit mode to confirm and save the event.
Challenges I ran into
Various websites use different date and time formats and correspond to distinct time zones.
The main challenge is,
writing regular expressions
for the Intelligence to understand various date and time formats.
Processing the information locally within the browser
and not sending any user information to the server, thereby
ensuring user privacy.
How to install this chrome extension
Clone this repository
open chrome://extensions in chrome broswer
Enable
developer mode
toggle button which is in
top right corner
Click on
Load unpacked
button in the
top left corner
Open any website in the chrome, then open
Smart Calander
Extension and click
Execute OCR
button
That's it.
What I learned
Optical character recognition(
OCR
) using
Tesseract
library
How to take a screenshot with chrome extension
Enhancing the screenshot using various Machine Learning(
ML
) techniques
Identifying different date formats from complex strings using Machine Learning(
ML
) methods with confidence scores
What's next for Smart Calendar
Implementing for various timezones and complex scenarios
Making it freely available to the public through Chrome extension apps
Built With
javascript
opencv
python
tesseract
Try it out
github.com | Smart Calendar | Create a smart Calendar entry from any Webpage. | ['Rehan Zafar', 'Sudhakar Vintha', 'Vivek H', 'RCREDDY K', 'Dhanu K'] | [] | ['javascript', 'opencv', 'python', 'tesseract'] | 16 |
10,393 | https://devpost.com/software/cue-tvxbf2 | Inspiration
Many neurodiverse people are unable to talk or have proper motor skills due to something called Rett Syndrome. Knowing someone who has suffered from this, and has never been able to properly express his feelings, needs, etc, i sought to make CUE
What it does
CUE is meant to promote social inclusion. It has a keyboard eyegazer where users can send messages to others, as well as a drawing system where users can create art with an intricate eyegaze system. The school portal also allows for neurodiverse students to cope up with online school and see their progress in terms of graphs and charts.
Built With
css3
flask
html5
opencv
python
Try it out
github.com | CUE | Communicating Using Eyegaze | ['Neeral Bhalgat'] | [] | ['css3', 'flask', 'html5', 'opencv', 'python'] | 17 |
10,393 | https://devpost.com/software/actree | Instructive map showing CO2 emission worldwide
Instructive graph showing CO2 emission per country and their evolution
Instructive graph displaying global CO2 concentration over the years
Vision of how the website will impact the global CO2 concentration for the next 15 years
A menu displaying the live balance of the website and the money to be used to plant the trees.
Virtual trees planting
making the trees real
Inspiration
Our inspiration comes from our love and interest in nature. Hundreds of new factories are built each year, millions of cars on the roads and billions of trees are cut down but only thousands of trees are planted each year. It was a great push for us to create AcTree.
Problem
411.29 ppm
, that makes 0,04% of air particules, is the recent global concentration of CO2 in the atmosphere, seeing the number of trees burned down in the Amazon and Australia and other places, it's less likely to get better. This percentage is increasing day after day, and in a few centuries every living creature will be in danger, unless we take action.
What it does
The idea of the project is to encourage people to plant trees in a virtual way and show them the impact of what they planted, then they can make it real. AcTree contains data provided by open and trusted sources. The website contains a map where we can display data and make the virtual planting, as well as graphs that show sensitized data.
Our goal is to make people aware of the risks and the impact they can make. In fact, a user anywhere in the world can contribute in planting in any other country.
How we built it
We strated our project with a website and we will implement a phone app.
Challenges we ran into
We didn't have enough experience to add the option of donating or securely paying for the trees.
We didn't know the right trees to suggest to users
Accomplishments that we're proud of
The fact that associations are interested in our project and they are ready to partner with us.
The fact that people will gladly use our website.
What we learned
Working as a team.
Stay motivated even if the idea seems challenging, we had to continue and keep pushing through.
What's next for AcTree
Secure our platform to implement transactions.
Add mobile version.
Gathering data about trees.
Add prizes, points and badges to active users.
Encouraging people watering trees.
Built With
css3
geojson
html5
javascript
json
python
Try it out
thexcoders.cf | AcTree | AcTree is a platform that groups people for a greater good which is our environment. AcTree helps people around the world to plant trees, reducing local, therefore global CO2 concentration. | ['soukaina ABERKA', 'Anass AIT BEN EL ARBI', 'Najlae Lallej', 'Mohammed Hadani', 'Fadwa Maslouhi'] | [] | ['css3', 'geojson', 'html5', 'javascript', 'json', 'python'] | 18 |
10,393 | https://devpost.com/software/covid-19-tracking-and-data-visualization | Inspiration
After doing some research about the data analysis of the ongoing Covid-19 pandemic I found out that there were not many reliable sources which provided real time analysis and visualization of the trend of the pandemic.
So I decided to create an interactive web app for easy and better understanding of the pandemic with the help of available data.
What it does
Covid.info web app is built to track and analyze the Coronavirus global pandemic.
It displays live stats of Covid-19 cases from all over the globe.
It provides detail stats for my home country India.
Different visualization techniques are used for easier understanding and studying the trend of the pandemic.
How I built it
For this project I used the data visualization libraries of Python like Plotly.
The project is built using the Django framework.
The data I used is sourced from different APIs available online
Challenges I ran into
Acquiring correct data and cleaning the available data to be used in my project.
Integrating the charts and maps on a simple webpage so it can be easy to access for everyone.
Accomplishments that I'm proud of
Plotting the data in a way that is easy to understand for everyone and not just by few data analysts.
This was my first time deploying a project on hosting platform so I ran into many errors which required hours of troubleshooting.
What I learned
This project taught me many new things I never knew before like Exploratory Data Analysis, working with APIs, new functionalities of the Django framework and many more.
I also learned that studying the pandemic using the available data can really help us to fight back and flatten the curve.
What's next for Covid-19 Tracking and Data Visualization
I'll keep updating the web-app with new analytical data for easier understanding.
I'm also planning to show information on the vaccine development and how following the social distancing on individual level can affect the whole society.
Built With
api
django
html
mapbox
pandas
plotly
python
Try it out
covid19-infographics.zeet.app
github.com | Covid-19 infographics | A web-app built for Covid-19 trend analysis and data visualization | ['Atharva Katre'] | [] | ['api', 'django', 'html', 'mapbox', 'pandas', 'plotly', 'python'] | 19 |
10,393 | https://devpost.com/software/machine-learning-application-to-detect-face-mask-for-smbs | Machine Learning Application to detect face mask for SMBs in India
Built With
amazon-ec2
java
rest | Machine Learning Application to detect face mask for SMBs | Machine Learning Application to detect face mask for SMBs in India | ['Abhishek Dinkar Raut'] | [] | ['amazon-ec2', 'java', 'rest'] | 20 |
10,395 | https://devpost.com/software/global-soft-support-ylwf41 | IBM Watson Assistant Chatbot
Inspiration
I saw a story about a female soldier who was brutally raped, and sexually harassed by her comrades. She could do nothing. No one payed attention to her story, and she suffered for months, after which, the story came out on Instagram. Why couldn't she seek support then? Where could she seek support? Nowhere. All these social media and entertainment sites are there for your entertainment. But when someone is in trouble, and needs help from the rest of the world, these apps are useless.
People all over the world have problems and situations they are in, that they cannot share with others in the fear of what their friends will think, what society will think about them. And most of the time, because they don't know where to go. The people are in need of advice, and just want someone to talk to them, and tell them what to do. That is because it is really hard to make tough, and beneficial life decisions when you are under constant abuse-both mentally and physically. I realized how much of a problem this was, decided to make a move.
What it does
Global Soft support is an online web app where anyone can anonymously describe their situation and troubles, and someone from any part of the world will answer them with a way to get out. You can also talk with the ChatBot! SO no one will track you, and you can get inputs on your situation from a person who has a way clear mind!
How I built it
We used MongoDB as my backend database. I use node.js as the backend script, and connected that with the middleware using express. I also applied the IBM Watson ChatBot Assistant in my project. I created this from scratch, and have it working on my site. have deployed everything using Heroku.
Challenges I ran into
I started off with an idea, clueless about which technologies I should be using, or if I would be able to use them or not. It took me 2 days to plan the project, and 1 day to code. But in the end, I did it!
Accomplishments that I'm proud of
I was able to make a full stack project from scratch(I did not use any GIT cloning :) ). Not only that, but I learned and we created at the same time.
What I learned
I learned how to use node.js and express to connect my backend(MongoDB Database to my front end)
What's next for Global Soft Support
I plan on reaching out to each corner of the world, and providing this website to everyone who is in need. I also plan to refine the site to be more user friendly.
Built With
amazon-web-services
dom
express.js
ibm-watson
mongodb
mongoose
node.js
purify
slugify
Try it out
github.com
global-soft-support.herokuapp.com | Global Soft Support | An online web app where anyone can anonymously describe their situation and troubles, and someone from any part of the world will answer them with a way to get out. You can also talk with the ChatBot! | ['Labdhi Jain'] | ['Amazon Gift Cards'] | ['amazon-web-services', 'dom', 'express.js', 'ibm-watson', 'mongodb', 'mongoose', 'node.js', 'purify', 'slugify'] | 0 |
10,395 | https://devpost.com/software/ikan-a31g26 | Inspiration
But why have I chosen this app idea? iKan holds a very dear meaning to me as two of my aunts have children with special needs. One of my cousins has infant muscle stiffness and the other is hearing impaired since birth. These disabilities prevent them from enjoying activities common to kids their age and the beauty of life. And the negative impact of their families is that they are unable to find products and services to help them out in their daily life. So why can’t we use such widely available technology and resources to help these families and why don’t I use the knowledge that I have gained in this area to aid the needed families
What it does
iKan is a one stop shop for all care givers and parent for special able kids. I did survey through social media and I was shocked to see the results. So many local families are unable to easily access product to help their children and even spend countless precious hours surfing the web to help their loved ones. For this reason, iKan is an app that allows parents to browse and filter products for what is best for their child.
How I built it
For this app the techonolgy stack was React Native and Firebase. React Native is fairly new tool that allows us to build source code for an app that works for both ios and android. It lessens the time from using native applications like xcode and andoird studio by using one tool that efficient and easy to use.
Challenges I ran into
I have not made a lot of projects before with react native so I ran into some difficulties at times. However, it was a good experience and working on this project helped me a developer.
Accomplishments that I'm proud of
I am very happy with how this app turned out and proud of how I was able to use basic skills in order to create an app that can help many people.
What I learned
I learned to solve problems and design wireframes based on my vision for the app. Also, in the end I was able to improve my react native skills by building iKan.
What's next for iKan
As this app is highly scalable, it can be implemented in communities and become a resource available to all. My vision is for iKan to be distributed to doctors to recommend and have it accessible to larger audiences.
Built With
firebase
react-native
Try it out
github.com | iKan | iKan is an app to connect disabled children so they feel secure and welcomed in their environment. | ['Arushi Aggarwal'] | ['Amazon Gift Cards'] | ['firebase', 'react-native'] | 1 |
10,395 | https://devpost.com/software/rebottle-25xcd0 | Our Solution
Volunteer UI Mock Ups
Patron UI Mock Ups
Inspiration
According to CalRecycle, about 24.5 billion California Refund Value (CRV) eligible containers were sold in 2018. Of those bottles, 18.5 billion were recycled. Leaving 6 billion of them in landfills, since nobody claimed CRV. Six billion bottles equate to over 100 million dollars that could have been exchanged for money with the CRV. With ailments such as COVID-19, our country could implement the extra revenue in beneficial ways. With the money raised from CRV, we can fund non-profits who intend on relieving communities and suffering families that are in pure devastation due to COVID-19. Plastic waste and COVID-19 are both prevalent problems that our world must conquer. From a survey we conducted, we found that 23 out of 50 people recycle bottles, and 41 out of 50 people did not know that their bottles could be exchanged for money.
What it does
reBottle is a free app that connects people interested in recycling bottles with volunteers seeking service hours and donates funds raised from recycling to COVID-19 relief efforts. reBottle works in three parts
1) Allows patrons (people interested in donating CRV eligible bottles) to donate their bottles on specific dates right from their doorstep
2) Provides volunteers a way to earn service hours by picking up these bottles and dropping them off in a reBottle bin at the nearest recycling center.
3) Raises funds for COVID-19 relief efforts by exchanging recyclable bottles for CA CRV.
How we built it
Our website was built in HTML5, CSS, and Javascript. We have used CreativeTim MaterialKit for the website UI and Canva for the app mock ups.
Here
is the link to our mock ups. We also experimented with Google Maps API which you can see in our Patron sign-up page.
Challenges we ran into
On the app design side, we started working on a way to make recycling easier and at scale. There were already many apps in the market that did this locally. We spent more time brainstorming what we could do differently. That's when the concept of volunteering, recycling and raising funds in one app emerged as an idea.
On the technical side, we had two challenges - 1) Using a UI toolkit like CreativeTim but still making it work the way we wanted and 2) Using Google Maps and Google distance API. This was our first time using these APIs. We got the Maps API to work but could not figure out how to use the distance API.
Accomplishments that we're proud of
We are proud of developing a web solution that provides an easier way for people to recycle, raise funds for a global cause and enable volunteers to earn service hours.We are proud of creating a website in little time that helps raise funds for COVID-19 alongside mock ups for our future mobile app. In less than 3 days we were able to research extensively on recycling plastic, conduct a survey to validate our solution, develop a website and mockups for our app.
What we learned
Our biggest learning was how to design a website/mobile app for different set of users, like in our case - volunteers and patrons. We learnt a lot about recycling plastic and realized even CA CRV provides cash refund, people are not fully aware of how to make use of it. Using Google Maps API was very interesting. Overall, we learnt how to split our work and get it done in a remote setup.
What's next for reBottle
We plan to build up on our idea further by expanding it to all states in the US. Currently, our idea to raise funds for COVID-19 but we want to help other global relief efforts as well. Within the new few weeks, we plan to complete our website, fully build our mobile app and connect with multiple non-profits.
Built With
canva
creativetim
css
google-maps
google-places
html
javascript
Try it out
github.com | reBottle | Recycle to save lives | ['Ad J', 'Risha Jain'] | ['Amazon Gift Cards'] | ['canva', 'creativetim', 'css', 'google-maps', 'google-places', 'html', 'javascript'] | 2 |
10,395 | https://devpost.com/software/hackthelib | Home page
Navigation drawer
Logging body image
Journal entries
Food entries
Body image entries
Mood entries
HapiGro
This is an app that helps you manage what you eat and your mindset towards it. You can write journal entries, log your mood, log what you ate and how you felt about it, and log your self-perception.
HapiGro's design is purposefully simple and has no imagery of food or mentions of calories, macros, weight, or otherwise. This is because it's geared towards those who have struggled with disordered eating, like I have.
Built With
dart
flutter
google
html
material
Try it out
github.com | HapiGro | Helping you eat mindfully and love your body :) | ['Trisha Agrawal', 'Haarika Nallamolu'] | ['Amazon Gift Cards'] | ['dart', 'flutter', 'google', 'html', 'material'] | 3 |
10,395 | https://devpost.com/software/healthdesk-mfj2hr | HealthDESK!
AI!
Live Statistics!
Dark Mode!
Inspiration
We wanted to solve a problem that has become more prevalent in today’s world. With an increased dependency on technology for both work and entertainment recently, there is also an increased amount of time in people’s days sitting and working at desks while not focusing on their health. Sitting for long periods of time have adverse effects on your health and can even increase the chance of getting life threatening diseases. Not only the action of sitting, but also how you sit, can affect your health. Bad posture, such as slouching or leaning too close to the monitor, can lead to pain and eye strain.
What it does
In order to help prevent these adverse effects to people’s health, we created HealthDESK, a website that uses AI technologies and webcam data to determine and notify you when you have poor posture, and remind you to maintain healthy habits while sitting at your desk.
How we built it
Using TensorFlow and OpenCV, we created an AI algorithm that can detect unhealthy habits that occur while sitting at your desk. The AI implements a variety of Computer Vision algorithms, such as Convolutional Neural Networks called ResNet-50 and MobileNet V2, along with a Cascade Classifier. After receiving bounding boxes and landmarks from these Computer Vision algorithms, we used mathematical computations to determine if a user is drinking water, stood up, touched their face, leaned in, and has bad posture.
In order to create the front end, we used JavaScript, HTML5, and CSS. We used responsive CSS and custom JavaScript to create a simple yet powerful UI/UX design. We also implemented rapid push notifications that notifies users whenever they are being unhealthy, allowing users to keep the website running in the background.
Challenges we ran into
One challenge we ran into early was designing the user interface so that anyone would be able to use it. We also struggled to successfully display webcam data and add push notifications. Implementing the AI to detect unhealthy habits was also a complicated process.
Accomplishments that we're proud of
We were successfully able to use webcam data and AI in order to identify and notify users of unhealthy habits at their desk. We also were able to use a variety of Computer Vision algorithms and create a multi-detection system using them. Finally, we're proud of the simplistic yet powerful UI/UX design.
What we learned
We learned how to combine Computer Vision models and create a more advanced model. Also, we learned how to read webcam data as well as communicate with the back end. By the end, we were able to figure out how to combine both the front end and the back end into one comprehensive project.
What's next for HealthDESK
We hope to expand the usage of the AI in order to provide the user with one platform that can be used to benefit their physical health while working. We also hope to work on the scalability of the project by trying to expand the project to thousands of daily users.
Built With
css3
html5
javascript
opencv
tensorflow
Try it out
github.com
health-desk.herokuapp.com | HealthDESK | Using AI to ensure you are staying healthy at your desk | ['Ashay Parikh', 'Skyler Gao', 'Abhi Nayak'] | ['Amazon Gift Cards'] | ['css3', 'html5', 'javascript', 'opencv', 'tensorflow'] | 4 |
10,395 | https://devpost.com/software/growing-a-habit | Hello esteemed judges,
On be half of my group, (Anthony Wang, Ryan Huang, Evan Lombardo, George Tziampias), I humbly present to you our project, a habit tracker app that was inspired by apps like forest,
the time management app. In order to run the project, you will have to go to import the project from github to android studio and run it through a virtual device or if you're
feeling lucky, through your own personal device. The categories we are battling for are best impact, most practical, and best overall.
Thanks for your time and don't judge us too harshly.
Built With
android
android-studio
java
Try it out
github.com | Growing a Habit | A habit tracker that uses the virtual reminder of a plant. | ['George Tziampazis', 'powalll Wang', 'Ryan Huang'] | [] | ['android', 'android-studio', 'java'] | 5 |
10,395 | https://devpost.com/software/it-is-called-the-help-save-the-ocean-website-page | Inspiration
When I was young, I was always fond of marine life. I would go to the Shed Aquarium in Chicago, and I would always capitalize on the chance to go on a submarine. One time, when I went down into the depths to look at coral reefs, I saw that they were all white. At that time, I thought that it was normal, but I came to find out that climate changed had made the coral reefs white. When, I found out later on about how pollution in general was destroying the oceans, I felt like I needed to do something. Until now, I never got the opportunity to work on something that really related to what I was passionate for. I want people to be more aware of the problem which has the capability to wipe out entire species in the ocean. There is no better way to inform people, than to make a website that goes on the internet. A website would help me do more research and it would help me get my point across to the people who simply don't care.
What it does
My website describes the many ways that the oceans are being destroyed. It provides many facts to help get the point across. It informs the public, and it makes sure that they understand the crisis well. The website also includes many pictures and videos to help the reader better understand the problem at hand.
How I built it
I used html 5 and CSS to develop my website. I used html 5 to write the information and I used CSS to design the page. The first day, all I did was do research on the topic. I was hoping to make myself as educated as possible. The next day, I started to use html 5 in order to write what I learned on a web page. The third day, I used CSS and html 5 to design the page, add pictures/videos, make captions, give credits, and make tabs.
Challenges I ran into
I didn't know html 5 before I entered this Hackathon so I had to learn as I went. I learned about many attributes, elements, and tags so I could implement them in my website. I also, didn't know CSS so, I used a website called W3schools so I could teach myself. I was thinking of using html 5 to design my page, but I decided to use CSS because I knew that it would be more efficient.
Accomplishments that I'm proud of
I am proud that I was able to learn two languages in a short period of time. Though I may not know the language fully, I am now able to understand the basics. I am also, proud that I was share my voice to others. Some people just don't care, but they have to choices. Learn willingly by becoming aware of the problem. Or learn the hard way when they can't order seafood at a restaurant anymore. Finally, I am proud that I was able to work through hardship when something wasn't working like I had planned.
What I learned
I learned that the Ocean is at risk, and if we don't do anything, in a century or so, many species of marine life will go extinct. Not only that, but if we don't change our behavior, then pollution will take over and it will control how we live. I also learned some personal values while coding my website. I learned to work hard, to never give up, and to always go after what you love.
What's next for "Help Save The Ocean" website page
I want to continue to do research and add to the page. I later want to contribute more to the problem and help out. Finally, I want to gather a group and go around informing people.
Built With
css
html5
html5-please
Try it out
github.com | "Help Save The Ocean" website page | A website that informs people about the problem relating to pollution and how it harms the ocean. | ['Aayush Maniar'] | [] | ['css', 'html5', 'html5-please'] | 6 |
10,395 | https://devpost.com/software/petcare-tracker | Inspiration
In the United States alone roughly 37% of dogs are overweight and 19% are obese. This equates to more than 50% and research has found that these numbers will continue to grow. More often than not dogs are overfed or given poor exercise leading to severe health issues and decreased life expectancy. When we talked to veterinary professionals, they told us how they usually have to calculate the lean weight of the owner’s dog to update the food amount given to their dog on a daily basis. The problem is dog owners usually only go to checkups once a year. That means that the food amount will eventually be invalid, and the dog may be eating too little or too much based on its lean weight progress over time.
What it does
Our app takes in user input of a dog's characteristics and information to determine how much food and exercise the dog should be receiving on a daily basis. What’s unique about our app is that we have an API that will progressively update the age of the dog, and we have our own python machine learning predictive model using Keras that will predict what the lean weight of the dog will be over time since we already know how much the dog is eating every day. The predictive model is graphed on the nutrition page, and you can see key weight milestones for the dog such as when it’s 1 year old, 2 years old, wtc. We also have additional features such as a Vaccine Log that will help the user keep track of all past vaccines and a Behavior Log that will help owners track significant behavioral changes which could ultimately help veterinarians diagnose diseases and problems sooner.
How we built it
We used the Flutter SDK by Google to create an app that can run both on the app store and the play store. The primary language we used was dart, and we worked as a team and split up different pages of the app, and once we were done with our individual work, we merged everything using GitHub. Our key emphasis throughout the app was to have a simple but functional user experience. Most other pet tracking apps only track physical activities or calorie count, but require the user to enter in the calorie amount and exercise time every time the dog eats or wants to go out. We knew this can be disheartening for a consumer to consistently use an app, so our main focus was to have one setup process where you set up your dog’s information when you first download the app, then the user will never have to edit anything again. We also chose a lighter tone for the UI of the app to make it seem more simplistic to the user.
Challenges we ran into
When submitting we ran into technical difficulties since our Zoom calls weren’t working. We also had a lot of challenges with the Flutter software. We also experienced a lot of problems with the animations throughout the app. We wanted to make the user experience as appealing as possible, so our decision to spend a significant amount of time on it led to numerous animation bugs and rendering problems. Issues with implementing the API and other UI navigation issues constantly popped up as well but we worked through it together, and we are extremely proud of the product we produced.
Accomplishments that we're proud of
We are most proud of the nutrition page because there is currently no app that can predict the lean weight of a dog over time, and determine the exact amount of food the dog should be eating. The model required the implementation of an API that could determine time zones, and update the age of the dog over time. This implementation in itself was difficult for us, and we were very proud to see everything work in cohesion. We were also proud of the animations throughout the app and transitions between screens because these ultimately made our app look more professional and appealing for us to use.
What we learned
We learned a lot about how to make an app, and specifically how to implement an API and python back end. This was the first time we had built an app through the Flutter software, and we were excited to create an app which would work for both IOS and Android. We spent quite some time working through the small errors so it was very nice to solidify the basics. We did have experience with the android studio so it made it easier for us to build this app as a whole, but we learned a lot about Flutter and Dart.
What's next for PetCare Tracker
So currently we are focusing on creating a fully functional and viable prototype as there are many features and tweaks we would like to make. Once we do that we plan on running a few Beta trials with Pet Owners and their Vets. At that stage, the revenue would be generated through ads. If our trials prove to be successful we will file for a proprietary license and copy-right the code. We’ve read the USPTO criteria and we believe our app would be eligible for a patent as well since with combination of features, especially the predictive model. For our third stage, we would also generate revenue through a licensing fee if we can work with pet clinics.
Built With
dart
flutter
python
timeszonesapi
Try it out
drive.google.com | PetCare Tracker | A solution to so many dogs in the U.S. being overweight and obese is an app that monitors the dog's health while providing the necessary information to maintain fitness. | ['Akhil Giridhar', 'Kaushik Indukuri', 'Dreadnought202'] | [] | ['dart', 'flutter', 'python', 'timeszonesapi'] | 7 |
10,395 | https://devpost.com/software/supermusicai | Main intro page
Inspiration
I listen to quite a bit of classical music and movie OSTs and wanted to write my own, unfortunately, I'm quite horrendous at comprehending sheet music, so I decided to try another route. I thought, what if we could generate music using a recurrent neural network. I then, using online resources and APIs as well as my own knowlrdge
What it does
It uses an LSTM based recurrent network to generate a sequential output of notes and chords that is converted to a piano music file. As of now the LSTM and the Unity rig are not connected as it is somewhat difficult to connect python and unity.
How I built it
I used the Keras API for the model architecture and most of the building is covered in the model walkthrough at the end of the submission. The Unity Game engine was also used for the user interface.
Challenges I ran into
Training the project was extremely painful and it actually took a full day of training to reach the somewhat discordant level produced. The Unity integration was cut short due to the fact that I had to go to school on the 10th. Linking the two was and is near impossible for a HTML integration
Accomplishments that I'm proud of
The fact that it actually works and produces music! Also the unity visualiser was quite well done for the short time I had. the music is quite decent and actually has flow and is not disjointed.
What I learned
Keras API, Music21 API, LSTM Theory, MIDI File theory, Unity lineRenderer
What's next for superMusicAi
I want to generate a dance music LSTM to actually work as a DJ for an EDM music event. I want to actually create a working UI and Prediction linked prototype, so that it can generate either classical or another form of music on the go. If possible I would like to try and match colours to the music generated in the UI in order to set a mood.
Built With
keras
python
unity
Try it out
github.com | SuperMusicAI! | Automatically Generating classical music using an LSTM | ['Vedaangh Rungta'] | [] | ['keras', 'python', 'unity'] | 8 |
10,395 | https://devpost.com/software/marble-maze-game-ie0s8y | Inspiration
We wanted to make a game that would simple, fun, and repetitive to get the user to play non-stop
How I built it
We built it using Unity 3D engine
Challenges I ran into
Overall, the game was pretty simple to make, because that was our aim in the first place. Simple, yet fun. Some challenges was designing the levels, picking an overall theme
Accomplishments that I'm proud of
We are most proud of the overall look for the game. The feel of the game turned out nice.
What I learned
I learned that I need to set up my git repo before I start my game. We also learned that it's important to keep your code and files organized. We had some messy code and clump folders that we could have reordered to help increase our efficiency.
What's next for Marble Maze Game
We hope to add more levels to the game and implement an unlocking levels feature. We didn't do the unlocking levels features for ease of the judges.
Built With
unity
Try it out
sharemygame.com
github.com | Marble Maze Game | Fun Game to Play while Relaxing | ['Yug Mittal', 'Arvind Ganeshkumar'] | [] | ['unity'] | 9 |
10,395 | https://devpost.com/software/satpracticepals | The five of us are all involved in Mu Alpha Theta (math competition program) at our high school, so we originally thought to develop a head-to-head competitive math program. However, we realized that expanding our scope would be more beneficial for all high school students. Then, we thought of the PSAT/NMSQT, one of the exams taken by many students across the nation. One of the most difficult sections of the exam is the writing section, which tests both comprehension and grammatical skills under strict time constraints. Due to this fact, we decided to primarily focus on this section for our project. We decided to use Java because we all have programming experience in this language. This game can be played through the console on a standard Java IDE or through a terminal/command prompt. The program utilizes previously College Board released PSAT problems through text file input, processing question data, correct answers, and solutions. We collaborated through the use of Github, and used Eclipse as our primary IDE.
However, we encountered a few issues along the way as well. One minor issue encountered was formatting of text input files containing questions with invalid characters. Another issue was determining the format in which the questions would be presented, and we experimented with a lot of different options. Fortunately, these issues were resolved quickly and efficiently, and did not significantly impact the development process.
Built With
eclipse
github
java
Try it out
github.com | PSATPracticePals | An engaging Java-based PSAT Practice Program that implements a head to head system, testing writing questions from College Board released previous exams. | ['Manuj Marwaha', 'Albert Lu', 'Jose Ramirez', 'Vasisht Ganesh', 'String2057 Ramirez'] | [] | ['eclipse', 'github', 'java'] | 10 |
10,395 | https://devpost.com/software/vaxxtrack | Due to the severity of the coronavirus, we wanted to prevent further damages to any potentially harmful diseases, so we made VaxxTrack to be more aware of our medical situations. VaxxTrack basically notifies you of all future medical appointments and stores all the information in an account. We built the website using html and css for the visual parts of the website and the javascript to record data to use in the calendar. We wrote it on repl.it since it was easier to go on call and write code in real time so the communication was pretty easy. THE CALENDAR oh my god this was pretty challenging we first wanted to make an interactive calendar but we didn't know too much about it and how to access and modify the different dates so hopefully that is something i can work on in the future, we was also wanted to import a google calendar but the library isn't working, so Spruha settled on a table and she tried to call a JS function for each of the dates. For both of us the login page was our biggest accomplishment. Spruha learned the JS and how to disable inputs and Eva said that the formatting was especially difficult. We both have little experience with coding in general so we learned a lot about html and how the front end connects with the backend of a website and Spruha learned how simple the algorithms are which surprised her. Eva said she learned a lot about HTML and CSS and how the the two overlap with one another. We have a bunch of plans about the future development of VaxxTrack. Our goals would be to implement other pages which are currently in progress like the Records page which includes a summed upland simplified version of a immunization sheet, some other things that we are working would be a news page, and a working a sign up page, as well as an app or a mobile version which sends texts as reminders! After we complete these we have a few more modifications to make but these are our main goals.
Built With
css
html5
javascript
Try it out
github.com | VaxxTrack | Reminds you of important vaccination dates | ['evachoudhury Choudhury', 'Spruha Nayak'] | [] | ['css', 'html5', 'javascript'] | 11 |
10,395 | 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'] | 12 |
10,395 | https://devpost.com/software/lifebeyondcoronavirus | lifebeyondcoronavirus
Built With
html5
Try it out
github.com | lifebeyondcoronavirus | Hello I am Ayush Kumar Rai! I am registering for all categories in the HackTheLib Event! I am working alone, and am an 8th grader at mead jr high, in elk grove, il, usa | ['prince1107 Rai'] | [] | ['html5'] | 13 |
10,395 | https://devpost.com/software/political-bias-classifier | We wanted to learn more about deep learning and we were interested in creating something useful for this upcoming election cycle.
We learned how to make an end to end tensorflow model, but also how to get an MVP out there early due to time constraints.
Built With
keras
monkeylearn
python
tensorflow
Try it out
github.com | Political Bias Classifier | A quick political classifier(conservative or liberal with a gradient) which could be easily used by researchers and political consultants alike. | ['Jer Forman'] | [] | ['keras', 'monkeylearn', 'python', 'tensorflow'] | 14 |
10,395 | https://devpost.com/software/mayday-ngz0d4 | MAYDAY
This is MAYDAY, a web application that allows for the hosts of online hackathons to communicate and help the attendees.
Inspiration
The inspiration for this project came from the current COVID-19 epidemic. Because most hackathons were moved online, many hackathon-related workshops and events lost their sense of interactivity. To combat this problem, this chat application provides a live hackathon support service that allows the workshop hosts to better communicate with and help their audience
What I've Learned
While creating this project, I've learned many vital skills necessary for web development. This includes streamlining the deployment process and ensuring that the application performs well after deployment
How it was made
The technology used for this project consisted of Node JS, ExpressJS, Socket.io, HTML, and CSS. I began with the backend, and created a NodeJS server to handle HTTP and Websocket connections and requests. After setting up the backend, I moved to the frontend, where I implemented the client-side Websocket mechanics and the UI
Challenges
During the creation process, I faced some challenges. The largest of these hurdles was the architecture of the backend. I needed to find an efficient way to handle and sort new users while keeping the integrity of the Socket implementation as bug-free as possible
The site:
https://maydayweb.herokuapp.com/
Built With
css
html
javascript
node.js
socket.io
Try it out
github.com
maydayweb.herokuapp.com | MAYDAY | Accessible, simplified live hackathon support. | [] | [] | ['css', 'html', 'javascript', 'node.js', 'socket.io'] | 15 |
10,395 | https://devpost.com/software/ipdrop | Phone UI
uploading image
when client receives request to download file
IPdrop
Project submission
Video submission:
IPdrop presentation
The live application can be found here:
IPdrop
Introduction
When was the last time you had to transfer a file from a device to another device connected to the same network? Did you use Google Drive? Dropbox? AirDrop, then realize you're transfering the file from an iPhone to an Android? What about big files? Did you have to wait for transfers for both uploading and downloading?
Meet IPdrop. This web app will cut your uploading and downloading waits in half, by combining the upload download process altogether. It will also instantly show all the users connected to your network that is ready for file receiving, eliminating the requirement of sharing links and copy pasting.
Combining the upload download process
Node.js's pipe streams are usually for streaming the upload user's data stream to a file on the server using
request.pipe(fs.createWriteStream(filename))
or streaming from a file on the server to a download user using
fs.createReadStream(filename).pipe(response)
. Taking advantage of Node.js's pipe streams' versatility, it turns out that piping the upload user's
request
to the download user's
response
actually works! While the upload user is uploading, the download user can download at the same time, resulting in a process where the total transfer time is cut down by half:
Assume upload speed = download speed
Without piping directly, it takes two hours:
1. Upload user starts uploading. Takes one hour to upload
2. Download user has to wait for upload user to finish
3. After one hour, download user can start downloading
4. After one hour, transfer is complete
With piping directly, it takes one hour:
1. Upload user starts uploading. Takes one hour to upload
2. Download user starts downloading from upload user
3. After one hour, transfer is complete
A demo of this process can be found in the project root directory with a file called
concept.js
.
Running your own IPdrop
It's fairly simple:
If you do not want to use Heroku to deploy, run this app behind a reverse proxy like nginx that controls the
x-forwarded-for
header.
If you do use nginx, remember to disable buffering by setting
proxy_request_buffering off
and increase the max upload size by setting
client_max_body_size 100G
. Don't worry about setting the max upload size to a high number as the uploading should be streamed; therefore, memory won't increase.
Built With
css
express.js
html
javascript
websockets
Try it out
github.com
ipdrop-sc.herokuapp.com | IPdrop | Easily share files connected to the same IP | ['Simon Cheng'] | [] | ['css', 'express.js', 'html', 'javascript', 'websockets'] | 16 |
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