Waste collection is a necessary everyday task that must be carried out frequently in our society. An inefficient waste management system results in unsanitary conditions. With the rapid development of technology, the concept of a smart city has entered our lives, and the cleaning processes in the cities are supported by modern technologies. As cities move towards becoming smart, it is possible to improve waste collection systems. A key innovation in our system is the development of smart dustbins using Arduino MKR WiFi 1010 and ultrasonic sensors. These smart dustbins continuously monitor their fill levels and communicate this data in real time. This data is then processed by machine learning algorithms, optimizing collection routes based on factors such as distance, capacity, time taken, fuel consumed, and historical data. In the era of smart cities, the integration of IoT, machine learning, and smart dustbins presents an opportunity to revolutionize waste management. By minimizing collection time, reducing costs, and minimizing the environmental footprint, our system contributes to cleaner and more sustainable urban environments. This paper not only presents the conceptual framework but also provides insights into the practical implementation of smart dustbins, demonstrating the potential for transformative change in waste collection systems.