<p>In recent history a lot of importance has been given to the management of waste as the amount of waste generated has seen a drastic increase. Proper segregation of waste for proper disposal has been hard to monitor due to the lack of the right infrastructure and human error. This research aims at providing a solution for waste management, specifically in urban localities where the most amount of waste is generated. In this research, design and implement an efficient ‘smart waste management system’ is carried out and in doing so it used various technologies like machine learning for classification of waste during collection, Internet of Things (IoT) for monitoring the bin, and making the process of disposal of this waste collected systematic and structured, and cloud to store the various types of data collected. This research has integrated these technologies successfully through our ‘Smart Bin’ model and has obtained promising results. The prototype obtained with this research, can be implemented in regions like malls, supermarkets, shopping complexes, and other urban settings similar to these, where there is a lot of foot traffic which is directly proportional to the amount of waste generated. The designed prototype running with machine learning is exactly classifying the waste materials and placing them in the designated bins. The results of this model shown in result section along with 3D models. With the implementation of emerging technologies in this research made this prototype more efficient and reliable.</p>