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
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.
A bundle of applications developed using Django.
The swolfpy-processmodels module is responsible for calculating and reporting the LCI of the waste management processes.
SmartWaste Segregation using Machine Learning.
WasteAI: Snap, Sort, Succeed || Waste Segregation
This is a prototype for the waste management system using Raspberry-Pie and image recognition Model
Waste AI: Snap, Sort, Succeed || Waste Segregation
Real-time web application using YOLOv8-seg for waste detection, segmentation, and actionable segregation guidance. Handles overlapping waste with multi-dataset training (TACO, TrashNet, Roboflow).
Waste detector and classifier for paperboard and plastic
Trash2Treasure is an AI-powered waste segregation system that uses a deep learning model to classify waste images and provides a Flask-based web interface for real-time prediction.
Revolutionizing waste sorting with cutting-edge image based neural networks
An AI-enabled waste segregation system that combines image classification and YOLO-based object detection, integrated with a web application for real-time waste analysis.
This IoT project is aimed to solve the major issue of manual seggregation of waste materials from a common waste produced by households.
Industrial Edge Multi-Object & Dual-Stream Waste Segregation Perception Engine with Volumetric Mass & CO2e Telemetry
Deep learning-based waste classification system using image recognition to classify cardboard, glass, metal, paper, plastic, and trash.
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