The system is AI-powered and uses advanced technologies like CNN and LSTM. Based on 12 years of hourly air quality data and weather information, it predicts the levels of six major pollutants—PM 2.5, PM 10, CO, SO2, NO2, and O3—with over 95% accuracy.
Analysis of Temperature, Rainfall, and Wind Speed
Aerovision also analyses factors such as temperature, rainfall, wind speed, pressure, humidity, and sunshine. Data is collected hourly from a 25 km grid. Prof. Suhas Joshi, Director of IIT Indore, stated that Aerovision will provide advance warnings, allowing people to plan their health and outdoor activities accordingly. Prof. Goyal explained that the system displays the Air Quality Index (AQI) by converting data into colour-coded standards.
The Scales
Green (0-50): Good air quality Yellow (51-100): Moderate; caution advised for sensitive individuals Orange (101-200): Unhealthy for sensitive individuals Red (201-300): Unhealthy for everyone Purple (301+): Very hazardous; avoid going outdoors