Junk Classifier: A Smart Approach to e-Waste Management in India

Abstract

Combining artificial intelligence, image recognition, and automated systems, the "E-Junk Classifier and Waste Manager" project presents a novel, tech-driven solution to India's ongoing waste management problems.  This system is designed to recognize and classify municipal and electronic waste and then automatically direct it to the corresponding waste recycling centers.  Its basic components include a simple digital interface that allows custom-ers to schedule waste pickups, an image-based pricing estimator that analyzes the value of scrap materials, and a route optimization tool that utilizes Dijkstra's algorithm to move col-lected waste efficiently.  Using robotics in sorting reduces human contact with dangerous chemicals and improves categorization accuracy.  Supporting environmental sustainability and in line with Smart City goals, the system aims to significantly reduce landfill buildup and marine pollution, substantially increase recycling efficiency from approximately 20% to over 60%, and generate economic benefits from recovered materials.  To ensure a lasting, favorable impact, it also emphasizes public participation, collaboration among stakeholders, and long-term sustainability.