?? Custom Home Assistant sensor for scheduling garbage collection (or other regularly re-occurring events - weekly on given days, semi-weekly or monthly)

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.

Dataset of trash objects for waste classification and detection

Automatic Garbage Seggregation Application using Deep Learning

?Nothing is waste, but it becomes one when it is in the wrong place ,??but who has the time to sort it and put it at its right place? That\'s what ??Sort lt- app does! puts your waste in the right place.?? Not every waste is landfill , take a step towards greener earth.??

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

A Web application for automatic smart route generation for day-to-day garbage collection which minimizes the fuel consumption of garbage trucks by providing systematic routes on the basis of real time percentage level of garbage in the bins, capacity of trucks, road feasibility

Django-based web application designed to enhance efficiency in waste management

Home Assistant component for Trondheim renholdsverk pickups.

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.

A dataset of Trash Images for the proper waste management and protection of Aquatic Life

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

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

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.

The swolfpy-inputdata module is responsible for storing, updating, and generating new uncertain input data for the process models in swolfpy-processmodels.

Data models related to the Environment. Includes data models for Weather, Environment & etc.

Determines your next Waste Management ( https://www.wm.com ) pickup times for use in Home Assistant.

Making recycling and garbage collection fun! Do your part to stop climate change.

Commander4j Production Recording and Labelling using EAN128 barcodes. Now includes Weight Checks, Waste Logging, Quality Control and much more. Supports mySQL, MS SQL Server and Oracle Databases. Java Swing Client and Javascript web pages for Zebra/Morotolla/Symbol wireless mobile computers.

A waste management app