Description of the Problem
Urban areas face increasing air pollution from traffic, industries, construction, and other sources. Limited real-time monitoring and delayed identification of pollution hotspots make it difficult to take timely corrective actions.
The potential solution to address the Problem
Develop an intelligent pollution monitoring system that collects real-time air-quality data, identifies pollution hotspots, predicts pollution levels, and provides actionable recommendations to authorities and communities for reducing emissions.
Relevant Technological Considerations (if any)
🗺️ IoT-based air-quality sensors
🚨 AI/ML-based pollution prediction
📢 GIS and location-based analytics
📊 Real-time dashboards and alerts
👥 Traffic and weather data integration
👥 Cloud/Edge computing
