Hyperlocal Air Quality Governance
Intelligent decision support system for hyper-local air quality governance
Vision
To make every city and village in India breathe cleaner air through real-time, AI-powered governance that turns data into decisive action.
Problem
Across India, air-quality data stays trapped in raw numbers with no system to convert it into timely governance action, leaving regulators, planners, and citizens without usable intelligence against worsening pollution.
Solution
Our AI-driven Intelligent Decision Support System (IDSS) fuses multi-source air-quality data to identify pollution hotspots, forecast episodes 24 hours ahead, and auto-trigger context-specific governance responses across administrative levels.
Potential
Scalable to all 4,000+ Urban Local Bodies and rural districts in India within a decade, potentially benefiting 500+ million urban residents and replicable across South Asia, Southeast Asia, and Africa.
Target Beneficiaries
Urban and rural citizens exposed to poor air quality; state and city regulators; municipal planners; public health officials; international development agencies; and governments in pollution-burdened low- and middle-income countries.
Current Users
Live pilot underway across Kanpur Nagar and Lucknow City with real-time multi-source integration and active governance workflows; at pilot TRL stage, with the first version already operational in the field.
