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Prediction: Smart City - Air Quality Index
Real-time data guides cleaner air initiatives, empowers citizens, and builds healthier urban environments.
Goal
- To predict the level of air pollution in a particular area, based on the various pollutants.
- To forecast AQI for the further months informing the risk of exposure to different pollution levels.
Technique
- Statistical Analysis, Time Series Forecasting, Regression Analysis, Visualization.
Impact
- Investing in initiatives that directly contribute to air quality improvement.
- Understanding the environmental impact by the release of the pollutants and to take timely action.
