TrashAI EdgeAI waste classification system using MobileNetV2 on ESP32 réalisé par un freelance en Tunisie | Tunisie Fre…
TrashAI EdgeAI waste classification system using MobileNetV2 on ESP32.
engineering-cad
TrashAI is an Edge-AI waste classification system using MobileNetV2 on Raspberry Pi. It identifies plastic, paper, metal, glass, and organic waste in real time. Built with TensorFlow Lite, OpenCV, and Flask, it runs entirely on-device with a live web dashboard. Achieved 92% accuracy and smooth performance (~20 FPS), proving efficient AI-powered recycling on low-cost hardware.
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