AI-powered noise pollution mapper & analyzer for urban spaces

Urban environments are experiencing a significant rise in noise levels due to expanding traffic, ongoing construction, and increased human activity. This growing noise pollution negatively impacts public health, comfort, and the overall quality of city life. To tackle this issue, the project introduces an AI-based Noise Pollution Mapping and Analysis system aimed at monitoring and interpreting noise conditions in real time. The system relies on IoT-enabled sound sensors deployed across various urban locations to gather continuous noise data along with precise GPS coordinates. This data is then processed using artificial intelligence models that can identify different types of noise and detect patterns over time. The analyzed information is displayed on an interactive map, enabling users to visualize noise intensity and its sources throughout the city. With capabilities such as real-time monitoring, automated noise classification, and predictive analysis, the system equips urban planners and authorities with actionable insights for better decision-making. Ultimately, this solution supports the development of effective noise control strategies, enhances urban planning, and contributes to healthier and more livable cities through a scalable, data-driven approach.