AI-Based Waste Management Platform

Abstract

Urban waste management remains highly frag-mented due to centralized allocation bottlenecks, a lack of direct reporting channels for citizens, and absence of structured financial incentives for localized clean-up workers. This paper presents the design, development, and execution of a decentral-ized peer-to-peer Waste Management Platform using the MERN stack (MongoDB, Express.js, React.js, Node.js). The architecture features an automated multi-role validation pipeline connecting citizen reporters with independent sanitation workers (cleaners).
To enforce trust and data consistency, the platform implements a secure backend transactional escrow ledger. When a report is logged, funds are locked within a server-side wallet registry. Following photo-verified completion and reporter validation, an automated commission settlement engine splits the escrow atomically: 90% to the cleaner, 8% as platform maintenance revenue, and a 2% balance translated into gamified promotional points divided equally between both parties (1% to reporter, 1% to cleaner where 1 point = 1). Secured by JSON Web Tokens (JWT) for role-based protection, integrated with Google Maps API for spatial tracking, and evaluated under high concurrent simulations, the platform completely eliminates manual billing reconciliation, guarantees payment integrity, and drives sustained user engagement.