patil215/scrapsort
A convnet classifier and hardware device to automatically sort recycling materials.
This project offers an automated solution for sorting recyclable materials from general waste. You feed it a piece of trash, and its integrated computer vision system identifies if it's recyclable and then physically directs it to the correct bin. It's designed for anyone managing waste at home or in small office settings who wants to improve their recycling accuracy.
Use this if you want to automatically sort common recyclable items like metal, paper, cardboard, glass, and plastic from general waste using a smart device.
Not ideal if you need to sort unusual materials, require industrial-scale waste processing, or need to classify more granular types of recyclables beyond the basic categories.
Stars
30
Forks
11
Language
JavaScript
License
GPL-3.0
Category
Last pushed
Feb 02, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/patil215/scrapsort"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
garythung/trashnet
Dataset of images of trash; Torch-based CNN for garbage image classification
pedropro/TACO
🌮 Trash Annotations in Context Dataset Toolkit
marine-debris/marine-debris.github.io
Quick Start Guide for MARIDA (Marine Debris Archive)
sumn2u/deep-waste-app
Managing waste in fun and easy way with AI ♻️😊🤖
gicait/pLitter
pLitter is a standardized, deep learning friendly dataset and pre-trained model that can be used...