M3 : Air pollution Hotspots Detection and Identifying the Source Trajectories using ML/AI techniques.

• Identify Yearly Hotspots by calculating AQI from major Pollutants among all States and UTs (India).
• Plot Geographical Data of Hotspots and Deploy using Flask with Front-end (HTML & CSS).
• Visualize Source Trajectory of Pollutants over Time on Map.
• Predict Long-Term Pollution Levels with Time Series Analysis using ARIMA and Seasonal ARIMA (Machine Learning Algorithms).

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Some Glimpses:

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We made this Project for ApScript Hackathon in ML Domain.

To Get more Insights feel free to checkout the PPT.

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Deployment using Flask for location of Hotspots :

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Dataset Sources :

Open Government Data (OGD) Platform India
MOPITT
Aura/OMI