👉 The project involves developing an AI-driven platform designed to optimize urban traffic management in a rapidly growing city. This system will utilize real-time data from various sources, including traffic cameras, sensors, and GPS devices, to predict and mitigate congestion. By employing machine learning algorithms, the platform will dynamically adjust traffic signals, suggest alternative routes to drivers, and integrate with public transportation systems to enhance overall mobility and reduce travel times. The goal is to create a smarter, more efficient urban transportation network that minimizes environmental impact and improves quality of life for city residents.
