DhanushN2005/E-waste-deconstructor---digital-twin
Developed a YOLO-based system to classify e-waste and predict hazardous levels, automating safe deconstruction suggestions. 09/2025 – 09/2025 •Designed a digital twin to autonomously simulate and monitor the e-waste deconstruction workflow in real time
This system helps e-waste processing facilities automate the identification and safe handling of electronic waste. It takes in images of e-waste items, classifies them, and provides immediate suggestions for safe deconstruction, including predicting hazard levels. E-waste recycling plant operators, environmental safety managers, and deconstruction technicians would use this tool.
Use this if you manage an e-waste processing facility and need to automate the classification of electronic waste, predict hazard levels, and get real-time recommendations for safe deconstruction.
Not ideal if you are looking for a system to physically deconstruct e-waste or manage inventory rather than safety and classification.
Stars
16
Forks
—
Language
Python
License
—
Category
Last pushed
Feb 26, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/DhanushN2005/E-waste-deconstructor---digital-twin"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
alyssaxuu/ecosnap
Recycle your plastic better with Artificial Intelligence ♻️
ShivamVadalia/Underwater-Waste-Detection-Using-YoloV8-And-Water-Quality-Assessment
Neural Ocean is a project that addresses the issue of growing underwater waste in oceans and...
nikhilvenkatkumsetty/TrashBox
Dataset of trash objects for waste classification and detection
BuildForSDGCohort2/Team-253-Group-A-Frontend
CleanOut is an app built to help communities clean their neighborhood by letting users report...
orbtl-ai/DebrisScan
A tool to automatically label, classify, and count marine debris in your aerial imagery....