VayuShetra — AI-Powered Air Quality Intelligence & Early Warning System

VayuShetra is an AI-driven environmental intelligence platform designed to monitor air quality, analyze pollution patterns, and provide early warnings for potential air quality deterioration.

The project combines satellite observations, ground-based air quality data, weather conditions, and machine learning to identify pollution hotspots and forecast potential risks 48–72 hours in advance.

Key Features: • AI-powered air quality prediction using LightGBM and XGBoost • Satellite-based environmental monitoring using Sentinel-5P, NASA FIRMS, and MODIS data • Wind-vector analysis and plume dispersion modeling • Pollution hotspot detection using DBSCAN clustering • Interactive geospatial visualization and early-warning insights

Tech Stack: Python, Machine Learning, LightGBM, XGBoost, Scikit-learn, Satellite Data Analysis, Geospatial Analytics, Weather APIs.

VayuShetra demonstrates how AI and environmental data can be combined to support smarter pollution monitoring and proactive decision-making.