WasteNet

Overview

Developed a deep learning system that classifies waste into six categories for automated recycling ### Implementation Details • Developed a deep learning system that classifies waste into six categories for automated recycling • Benchmarked baseline CNN, improved CNN, transfer learning, and Vision Transformer (ViT) architectures • Deployed the best model as a local inference server with an interactive real-time web dashboard

Key Features & Architecture