With rapid urbanization and increasing population in metropolitan cities, managing waste has become a pressing challenge for local authorities. Traditional waste management practices often lead to inefficiencies, higher operational costs, and environmental concerns. This research paper presents an approach to tackle these issues through the development and implementation of a Smart Waste Management System (SWMS) using cutting-edge technologies such as the Internet of Things (IoT), Node-RED, and MIT App Inventor. The proposed SWMS integrates multiple components to optimize waste collection and processing. IoT sensors are strategically deployed in waste bins across the city to monitor their fill levels in real-time. These sensors transmit data to a centralized cloud-based platform, enabling waste management authorities to access and analyses the status of waste bins remotely. Through data-driven insights, SWMS can optimize waste collection routes, reduce unnecessary pickups, and efficiently allocate resources. Node-RED, a visual programming tool, is employed to create an intuitive and interactive dashboard for waste management personnel. The dashboard offers live visual representations and analytical insights, empowering data-driven decision-making through trend and pattern analysis. Additionally, the system uses Node-RED’s automation capabilities to trigger alerts when the waste bins reach their maximum capacity, ensuring timely pickups and preventing overflowing waste. To enhance user engagement and promote community involvement, MIT App Inventor is utilized to design a user-friendly mobile application. This app empowers citizens to report waste-related issues, such as illegal dumping or damaged bins, directly to the authorities. The platform also educates users on proper waste disposal practices, fostering a sense of responsibility and environmental consciousness among residents. The proposed method has provided better result in economic cost and risk in implementation compared with existing systems.