Assessing Sustainable Waste Management Practices in Rajshahi City Corporation: An Analysis for Local Government Enhancement using IoT and AI Technology

Abstract

Abstract This study examines the possible improvements that could be made by combining the Internet of Things (IoT) and artificial intelligence (AI) technology to improve waste management methods in Rajshahi City Corporation (RCC), Bangladesh. The study's foundation is a vast amount of information gathered from residents, with particular attention paid to waste disposal methods, the role of the local government, the frequency of waste collection, and public attitudes toward waste management. The results point to a complicated waste management environment with a range of waste disposal practices, little supervision, irregular waste collection, and insufficient disposal methods. The importance of RCC in waste management is emphasized, highlighting the need for proactive measures including effective monitoring, constant waste collection, and routine drain cleaning. Additionally, it is suggested that combining IoT and AI technology is a possible way to improve waste management procedures. These technologies have the potential to increase productivity, lessen their negative effects on the environment, and produce cleaner, more sustainable urban environments. This study emphasizes the significance of a thorough waste management strategy that incorporates technologically-based solutions and community involvement. It helps transform RCC into a smart city with effective and eco-friendly waste management methods, creating a precedent for other municipalities worldwide. It also acts as a valuable model for addressing waste management difficulties in urban areas.