This project is for EcoHacks Hackathon 2022. This Waste Management System is a web application aimed to provide a digital way of complaining the concerns of general citizens to their relative municipalities.

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.

IOT based Waste Management System for Smart Cities

WasteEasy is an app designed to streamline waste management. Developed during the Envision Hackathon, it focuses on waste classification and encourages proper waste segregation. Users can earn points or coupons by utilizing WasteEasy for their waste disposal needs.

The Project promising solution to revolutionize waste management. By leveraging IoT technology, it enables real-time monitoring, efficient resource allocation, and data-driven decision-making. also it has the potential to contribute significantly to environmental sustainability and improve the overall quality of waste management systems.

3R ( Reduce, Reuse, Recycle ) + 1R ( Redivivus ) for a better future! In short, an end-to-end recyclable waste management website.

NodeJS based application that serves SWMS-Frontend application, MongoDB database and handles requests from dustbin's circuit.

An advanced electronic management system(e-waste) in PHP using the Codeigniter framework

waste management system project , a web app

An end to end solution for waste segregation,collection and disposal

A waste management app

React native project - a solution for improving awareness and behavior regarding waste management

Mess & Canteen Management App

Web Applicatoin / Project on online garbage collection service .

Android Internship Project in Waste Management Service Company.

The Waste Classification System is a project that focuses on accurately classifying waste into six different types: cardboard, paper, plastic, metal, glass, and biodegradable using YOLOv8 model. By analyzing waste images, the system provides users with the correct waste category, facilitating effective waste management and recycling efforts.

A deep learning-based web application that classifies different types of waste materials using computer vision. The system helps in proper waste segregation by identifying whether an item belongs to categories like cardboard, glass, metal, paper, plastic, or trash.

An end to end solution for waste segregation, collection and disposal