AirGuardian AI
Link to open source: https://github.com/rohitkorpal/AirGuardian-AI
AirGuardian AI is an intelligent public health assistant that turns real-time and historical air quality data from Delhi into actionable, personalized health support. It uses Elasticsearch for hybrid search, geospatial queries, and semantic RAG, combined with an AI agent mesh (LangGraph) and a machine learning AQI predictor (XGBoost).
- AQI & Weather Dashboard: Live views of pollutant metrics (PM2.5, PM10, O3, NO2, etc.) and current weather metrics.
- Personalized Health Risk Assessment: Calculates user-specific health risk scores (Low, Medium, High, Critical) based on age, pregnancy, asthma/COPD, and activity levels.
- Actionable Recommendations: Clear, contextual health advisories regarding masks, air purifiers, outdoor activities, commutes, and hydration.
- Agentic RAG Chatbot: Multi-agent chatbot powered by LangGraph, pulling clinical and governmental insights dynamically from WHO guidelines and Delhi's Graded Response Action Plan (GRAP) indexed in Elasticsearch.
- Interactive Health Map: Displays nearby hospitals, clinics, and pharmacies, complete with geo-spatial filtering (e.g., within 5 km of user's coordinates).
- XGBoost AQI Prediction: Predicts air quality forecasts for the next 6, 12, and 24 hours.
