Overview:
The Urban Noise Analysis Platform is a smart city tool that collects, processes, and visualizes noise pollution data across different city zones. By integrating IoT noise sensors, public complaint data, and historical noise patterns, the platform helps city authorities monitor sound levels, identify problem areas, and implement noise-reduction policies to improve urban living conditions.

Key Features:

1. Real-Time Noise Monitoring – Collects decibel (dB) readings from IoT noise sensors installed in various locations.

2. Noise Source Classification – Uses machine learning to categorize noise sources such as traffic, construction, industry, or public events.

3. Heatmap Visualization – Displays noise intensity on an interactive city map for easy identification of hotspots.

4. Historical Trend Analysis – Tracks noise levels over time to detect seasonal or event-based patterns.

5. Alert System – Sends notifications when noise levels exceed legal limits in any monitored area.

6. Public Complaint Integration – Allows residents to submit noise complaints, linking them with sensor data for validation.

7. Predictive Analytics – Forecasts future noise levels based on traffic, weather, and planned construction events.

8. Policy Impact Tracking – Measures the effectiveness of noise-control measures implemented by authorities.

9. Custom Reports – Generates automated reports for government agencies, environmental organizations, and urban planners.

10. Mobile-Friendly Dashboard – Provides citizens with live updates about noise conditions in their neighborhood.

Technology Stack:

• Backend: Node.js, Java, or PHP for data processing and API integration

• Frontend: HTML, CSS, Bootstrap, JavaScript (Mapbox, Leaflet.js for maps; Chart.js or D3.js for visualizations)

• Database: PostgreSQL or MongoDB for storing noise sensor readings and complaint logs

• Machine Learning: Python (scikit-learn, TensorFlow) for noise source classification and prediction

• IoT Integration: Noise-level sensors, Arduino/Raspberry Pi for edge data collection

• APIs: Weather data APIs, GPS mapping APIs

Use Cases:

• City Governments: Monitor compliance with noise regulations and take targeted action in problem areas.

• Urban Planners: Design quieter neighborhoods and manage traffic flow.

• Environmental Agencies: Track environmental noise trends and assess health impacts.

• Residents: Stay informed about noise levels and report disturbances.