👉 The project, titled "Smart City Energy Management System," aims to optimize energy consumption and distribution in urban areas through the integration of IoT sensors, AI algorithms, and real-time data analytics. It involves deploying smart meters and sensors across the city to monitor energy usage in buildings, transportation, and public utilities. This data is then analyzed using machine learning models to predict demand patterns, identify inefficiencies, and automate energy-saving measures. The system also facilitates dynamic pricing models to encourage off-peak usage and integrates renewable energy sources, enhancing overall sustainability. By providing actionable insights to city planners and residents, the project seeks to reduce carbon emissions, lower energy costs, and improve the quality of life in smart cities.
