AI‑Driven Smart Traffic Management System for Urban Congestion

Design and implement an AI‑based traffic management prototype that leverages real‑time video streams and IoT sensor data to dynamically optimise traffic signal timings, predict bottlenecks, and reduce average commuter travel time by at least 10% in a simulated urban environment. The solution includes a web‑based dashboard for traffic authorities to monitor, control, and analyse traffic flows.

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