👉 The corresponding project aims to develop an innovative, AI-driven platform designed to streamline and enhance the process of sustainable urban planning. This project leverages machine learning algorithms to analyze vast datasets, including environmental impact assessments, demographic trends, and infrastructure needs, to provide city planners with actionable insights. By integrating real-time data from IoT sensors and predictive models, the platform offers dynamic simulations of urban development scenarios, helping to optimize resource allocation, reduce carbon footprints, and improve quality of life for residents. The project also includes a user-friendly interface for stakeholders to collaborate and visualize potential outcomes, fostering more inclusive and data-informed decision-making in urban development.
