This research presents the development of an innovative IoT-based smart drainage system designed to address the
persistent flooding challenges in Mogadishu, Somalia. The system integrates real-time water-level monitoring, flow rate
measurement, and automated water management solutions, enhancing urban resilience against flooding. Utilizing a
combination of ultrasonic sensors, Hall effect flow meters, and a network of water pumps, the system facilitates proac
tive interventions by redirecting excess water from critical collection points to the ocean. The data collected from these
sensors is processed and analyzed using AWS cloud services, ensuring scalable and efficient data management. A user
friendly web application provides real-time visualization of drainage conditions and alerts stakeholders about potential
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lood risks, thus enabling timely decision-making. Field tests demonstrate that the system not only detects flood risks
but also actively mitigates them through automated water removal, showcasing its effectiveness as a scalable and sus
tainable flood management solution. This research contributes significantly to the discourse on smart city infrastructure,
providing a comprehensive framework for disaster resilience and urban sustainability in developing regions, and serving
as a scalable model for future implementations in similar contexts.