IT4010 Research Project 4th Year, 1st Semester Final Report IT21166488 Maleesha K.L.D.D.S B.Sc. (Hons) Degree in Information Technology Sri Lanka Institute of Information Technology April 2025 DECLARATION We declare that this is our work, and this proposal does not incorporate without acknowledgement any material previously submitted for a degree or diploma in any other university or Institute of higher learning and to the best of our knowledge and belief it does not contain any material previously published or written by another person except where the acknowledgement is made in the text. Name Student ID Signature Maleesha K.L.D.D.S IT21166488 The above candidate is carrying out research for the undergraduate Dissertation under our supervision. ……………………………………. 10/04/2025 ……………………………………. Ms. Wishalya Tissera Date (Supervisor) 2 ABSTRACT Traditional waste management systems are increasingly becoming incompetent, more so with rapidly growing urban populations, leading to challenges of overflowing dumpsites, compromised routes, inefficiency, and heightened environmental concerns. There is the development of a Smart Waste Management System that approaches the issue through the strength of the IOT, computer vision, and machine learning to design an intelligent, responsive, and efficient waste management system. Optimally, how waste collection processes could be managed would result in cost savings and a cleaner urban environment. Waste type classifiers at the core of the system use machine learning algorithms to identify different types of waste and assist in automatic sorting to improve recycling processing. The waste bins will be endowed with computer vision capabilities through a design of the garbage bin recognition model to cut down the activities that go on in waste collection for the ease of disposing of waste from the waste bin into the collection unit. System-wise, an interactive mechanism for the user and an audio feedback voice will be applie

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