Deep Learning based Waste Segregation Project to classify waste images into different classes.

Zero Waste Intergrated Technology is an automated waste segregation and managment system.

This project automates the task of waste segregation in public dustbins by classifying waste as either recyclable or non-recyclable.

Waste Segregation @HackBash2021 : ML based deployed waste segregation web app

The swolfpy-processmodels module is responsible for calculating and reporting the LCI of the waste management processes.

A bundle of applications developed using Django.

Ecosavvy is a waste segregator based on ML model built using CNN and trained over 8000 data samples which segregates waste into 11 different categories.

This is a prototype for the waste management system using Raspberry-Pie and image recognition Model

Revolutionizing waste sorting with cutting-edge image based neural networks

SmartWaste Segregation using Machine Learning.

This IoT project is aimed to solve the major issue of manual seggregation of waste materials from a common waste produced by households.

Owing to the drastic increase in solid waste and garbage generated by humans, waste management, segregation and recycling have become problems of scale. This warrants an automated solution, rather than relying on manual workforce, which will help in increasing life quality and give more control over the full waste generation chain from the sourc…

Waste detector and classifier for paperboard and plastic

Frontend for Project

A New Way To Understanding Waste Segregation!