Delhi and IIT Kanpur AI Pollution

The India — Delhi government is exploring a collaboration with IIT Kanpur to develop an Artificial Intelligence-enabled decision support system for data-driven pollution mitigation. This initiative, announced by Environment Minister Manjinder Singh Sirsa, aims to use hyperlocal source apportionment, sensor-based monitoring, and satellite data to address pollution at its source. The government is preparing a comprehensive, year-round clean air strategy, moving towards a model where policy decisions are driven by real-time data and measurable outcomes. The strategy emphasizes dynamic source apportionment to identify contributions from various factors like dust, vehicular emissions, industrial activity, and biomass burning. Multi-agency coordination is also a key aspect, ensuring that municipal bodies, district administrations, enforcement agencies, and technical institutions operate on a shared data platform. Simultaneously, India — Delhi is acting on four major fronts: vehicular emissions, dust control, polluting industries, and waste management, with ongoing interventions by civic agencies.