The Trash Classifier project, affectionately known as "Where does it go?!", is designed to make throwing things away faster and more reliable.

This project uses a Machine Learning (ML) model trained in Lobe, a beginner-friendly (no code!) ML model builder, to identify whether an object goes in the garbage, recycling, compost, or hazardous waste. The ML model is loaded onto a Raspberry Pi computer to make it usable wherever you might find rubbish bins!

This tutorial walks you how to create your own Trash Classifier project on a Raspberry Pi from a Lobe TensorFlow Lite model in Python3.

Difficulty: Beginner++ (some knowledge w/ circuits and coding is helpful)

Read Time: 10 min

Build Time: 60 - 90 min