IIT Indore’s New AI Tool Can Predict Your City’s Air Quality 6 Days in Advance

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Imagine being able to determine whether the air quality is suitable for your child's cricket match or your morning run in the same way that you check the weather. IIT Indore's new AI-powered platform, AeroVision, is enabling just that.

AeroVision, developed by the institute's Civil Engineering team, has a 95% accuracy rate in predicting the air quality of Indian cities and towns up to six days in advance. That's revolutionary in a nation where pollution levels frequently rise suddenly.

💡 How Does AeroVision Operate?

The combination of years of real-world data and state-of-the-art AI is what makes it magical. AeroVision was fed 12 years of hourly weather and air quality data by researchers and professors under the direction of Kuldeep Singh Rautela and Prof. Manish Kumar Goyal.

The system analyzes six major pollutants, including PM2.5, PM10, and NO₂, in addition to temperature, wind speed, humidity, and even sunshine hours. It then uses powerful AI models like CNN, LSTM, and GRU to translate all of that complexity into a simple, color-coded air quality forecast.

🎯 Easy to Understand by All

  • To use AeroVision, you don't have to be a scientist. The forecast is displayed in an AQI format that is easy to read:

  • Green (0–50): Good, take a deep breath.

  • Yellow (51–100): Moderate: Most people can get by with it, but sensitive groups should exercise caution.

  • Orange (101–200): Not good for sensitive people.

  • Red (201–300): Bad for everyone.

  • Purple (301+): Extremely dangerous; if at all possible, stay inside.


👥 Why It Is Important to You and Me

Knowing about bad air days ahead of time allows people to make plans, such as rescheduling outdoor events, donning protective masks, or just keeping kids inside when necessary, according to Prof. IIT Indore's director is Suhas Joshi.

Focusing solely on personal safety is not as important as giving communities, city planners, and health departments the time they need to take action before the smog arrives.

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