This project uses deep learning to automatically classify waste images into four categories: Metal, Paper, Plastic, and Glass. It compares multiple custom CNN (Convolutional Neural Network) models to find the best-performing one.
After training, the best model is saved and used in a Flask web app. This app allows users to upload images and get instant predictions for better and smarter recycling.