CleanSoft is an advanced Municipal Solid Waste Generation Prediction and Management System, purpose-built for the urban context of Dehiwala-Mount Lavinia, Sri Lanka. With the flexibility to scale across other municipalities. The platform leverages state-of-the-art machine learning models to accurately forecast daily waste generation for both households and hospitals, incorporating dynamic factors such as weather, patient counts, and seasonal trends. By integrating a bidirectional Dijkstra algorithm with real-world OpenStreetMap data, CleanSoft optimizes waste collection routes. The system’s multi-driver allocation further enhances efficiency. A core feature of CleanSoft is its Retrieval-Augmented Generation (RAG) chatbot, which streamlines communication between citizens and municipal authorities. This AI-powered assistant enables residents to submit complaints, provide feedback, and receive timely waste management guidance, while also generating actionable summaries for administrators. Designed with a modular, scalable architecture and a user-friendly web interface, CleanSoft ensures secure, role-based access for administrators, drivers, and citizens. CleanSoft delivers a comprehensive, data-driven approach to smarter, cleaner, and more responsive urban waste management.