Team 4 submission for NYP codeoverflow hackathon 2022 (Third Place Winner 🥉)
Team members include:
- Karthik
- created the object detection for both video and webcam inference using yolov7
- created a backend server using flask to upload videos and activate webcam on button click
- Jay
- added form validation for the login and signup pages
- created the website using html, css and js
- link the pages together
- Jun ming
- made the login and signup page
- Pin shien
- made the slides
- added the text content on the webpages
Here's how it works: users can upload their own videos or source them from security cameras, which are then scanned to identify the amount of trash present. This location is marked on a map and made available to users who can volunteer to help clean it up. In return for their efforts, these users will earn points and rise up the leaderboard, inspiring them to keep making a positive impact on their community. It's a simple but powerful way to promote environmental responsibility and make a real difference.
Clone the repository by using the below command
git clone https://github.com/gangula-karthik/TRASHMINATOR.git