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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.
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.
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 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.
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.
An intelligent system to detect, classify, and analyze waste using AI-powered object detection and material composition prediction. This project combines YOLOS object detection with a custom-trained classifier to identify and categorize waste as degradable or non-degradable.
BinGO is a practical, scalable waste management system designed to keep cities cleaner by combining community-driven reporting, sensor-based detection, and AI-powered scheduling.