AI-powered e-waste identification and sorting for college campuses. Scan electronics, automatically sort them into bins, and get clear disposal guidance.
AI-powered e-waste sorting system with two complementary parts: A hardware sorter that aut…
AI-powered e-waste identification and sorting for college campuses. Scan electronics, automatically sort them into bins, and get clear disposal guidance.
AI-powered e-waste sorting system with two complementary parts: A hardware sorter that automatically classifies and physically sorts e-waste using computer vision and servo motors and a web application that allows users to scan e-waste, receive safe disposal guidance, and view usage metrics.
Together, this demonstrates how e-waste sorting can scale from individual use to a campus-wide kiosk.
Used ChatGPT for UI boilerplate and debugging. Connected Gemini LLM via API to give recommendations on disposal guidelines for the user.
