Inspiration

We learned about the existence of a garbage island the size of Texas floating in the ocean. After careful deliberation, we thought about how we would personally tackle this problem.

What it does

Our app and backend service leverage the most recent cameraX api and keras machine learning library to accurately identify different categories of waste.

How we built it

Used Android Studio and Kotlin to build a camera-based application for android devices 5.0+. Trained sophisticated deep learning models to classify waste using Tensorflow and keras.

Challenges we ran into

Lack of support and documentation for Android Studio cameraX.

Accomplishments that we're proud of

Accuracy of our model (95% on training data)

What we learned

It takes a lot of time to create rigorous models

What's next for Classy Garbage

Extend to automated waste sorting machines.

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