Major project
Construction, Infrastructure & Smart Cities
Urban air-quality early warning for Indian cities
Forecast pollution levels a day ahead and warn residents before air turns unhealthy.
The brief
Indian cities see dangerous pollution spikes, especially in winter. A city administration wants a one-day-ahead AQI forecast for each station, with warnings for schools and hospitals when air is expected to turn unhealthy. Good looks like: forecasts that catch most bad-air days, an analysis of what drives spikes, and a warning page residents could use.
What you will build
- Clean station data and handle missing readings
- Compute AQI and explore seasonal and city patterns
- Add weather data as features
- Train and compare forecasting models; focus on bad-air days
- Build a warning dashboard with a map
- Report the drivers of pollution and policy suggestions
Free, open data to build it with
- Air Quality Data in India (2015–2020) ↗ Kaggle (CPCB data)
- OpenAQ: air quality from around the world ↗ OpenAQ
- NASA POWER: weather data ↗ NASA
Check each dataset's licence before you publish your work. Your mentor gives your team its own version of the brief (data, scope or region), so every team's project is its own.