Inspiration
Our team’s inspiration was to make the world a greener place! Landfills are being overran with recyclable materials and it is our job to stop this! We also wanted to create a very simple app that will let people have the power at their fingertips to distinguish the differences between recycling and trash. This is our first step in creating an AI that will completely change the world!
What it does
An app powered by machine learning to scan your trashcan and calculate the California Refund Value(CRV) that you can claim from the nearest recycling center.
How we built it
Through Python and Yolo algorithms, we deployed the model on AWS through Django, then we built the front end using Flutter and Dart for the user interface.
Challenges we ran into, What we learned, and Accomplishments that we're proud of.
With limited time, besides all the tremendous coding challenges, technique difficulties, and limited computation resources, the hardest part is actually communicating with each other and keeping each other in the loop, through this experience, we gained a lot of experience in co-development and we learned so much from each other, which helped us grow our technical skills a lot.
What's next for The Trash App
What’s next for our app? As stated in our inspiration we want to create the most powerful AI to determine what is recycling and what is waste. We would like to implement features such as electric detection that will give the user the ability to take pictures of things such as TVs phones and even cars. This will then send a location and a website to where they can request someone to take their items and we as a company will dispose of those items.
Built With
- amazon-web-services
- dart
- django
- flutter
- python
- tensorflow
- yolo


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