Urbanization brings about waste, pollution and infrastructural problems. AI uses big data, machine learning, and cognitive systems to control pollution, streamline urban functions, and be more resilient to climate change. The AI-based systems are associated with the project to ensure the enhancement of the infrastructure, pollution reduction, resource-efficiency, and sustainable urban development through the data-driven decision-making. The holistic structure will increase infrastructure efficiency, increase the amount of waste collected, and test air quality. Empirical research involving the data of cities was done to test effectiveness. The plan decreased the amount of trash by 72.45, enhanced the quality of air by 8.35 µg/m3, and consumed less infrastructure by 89.6. The combined AI elements worked better than the single strategies. The possibilities of AI-based systems can transform smart cities because it enables resource management, climate resilience, and sustainable growth as well as provides convenient solutions to urban planners.