International Journal of Scientific Research and Engineering Development

Effective waste management is essential for sustainable urban development, yet improper segregation remains a major issue. This paper presents an AI-powered smart bin system that automatically classifies waste into wet and dry categories using moisture sensors and AI algorithms. Ultrasonic sensors monitor bin fill levels to prevent overflow, while GSM and GPS modules provide real-time alerts and location tracking for efficient waste collection. The system also stores data on a cloud platform for analysis and optimization of collection routes. By integrating AI, IoT, and cloud technologies, the proposed system improves efficiency, reduces manual effort, and promotes environmentally friendly waste management practices.

Shifa Bilal Tamboli, Simeen Phiroj Mulani, Arman Tajuddin Shiakh,"AI Powered Waste Segregation and Innovative Bin" International Journal of Scientific Research and Engineering Development, V9(2): Page(2392-2395) Mar-Apr 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.