This paper presents the design and development of an Intelligent Waste Management System (IWMS) for smart cities, integrating the Internet of Things (IoT), Artificial Intelligence (AI), and sensor-based automation to enhance urban waste disposal. The proposed system utilizes smart bins equipped with real-time sensors for monitoring waste levels, enabling source-level waste segregation, and optimizing collection routes through AI-driven predictive analytics. Furthermore, the system incorporates automated waste-to-resource conversion, including composting and energy generation, to improve sustainability. IoT-enabled dashboards provide municipal authorities with real-time insights, reducing operational costs and minimizing environmental impact. Data privacy and ethical considerations are addressed using secure cloud-based encryption and compliance with smart city data regulations. The proposed IWMS supports sustainable waste management and circular economy principles and contributes to smart city infrastructure advancement.