Year: 2025
Type: article
Abstract: E-waste disposal poses a global concern because to its environmental impact and health risks from harmful compounds such as lead, mercury, and cadmium. This project uses Convolutional Neural Networks (CNNs), a type of deep learning, to automatically recognize, classify, and value e-waste, helps turning obsolete electronics into useful materials. Device photos uploaded by sellers are evaluated for functionality, condition, and recycling potential before being assigned coin-based values to encourage environmentally friendly disposal. Sellers profit from safe coin-to-cash conversion, and buyers may peruse and buy products via an easy-to-use interface. This platform advances sustainability and environmental conservation by encouraging the reuse of electronic resources and reducing the accumulation of hazardous waste through recycling and the development of a circular economy
Author: Purushotham P
Language: English
Subfield: Waste Management and Disposal
Field: Environmental Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4409216574