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Delhi Explores IIT Kanpur Tie-Up for AI System to Target Pollution at the Source

The initiative marks a pivot to real-time, evidence-led action under a single cross-agency data platform.

Overview

  • Environment Minister Manjinder Singh Sirsa said the government is exploring a formal collaboration with IIT Kanpur to build an AI-enabled decision support system.
  • The proposed system would combine hyperlocal sensors, satellite data and dynamic source apportionment to pinpoint contributors such as dust, transport, industry, biomass burning and regional inflows.
  • A whole-of-government clean-air framework is being prepared to place departments, civic bodies and NCR districts on a common platform for coordinated enforcement and monitoring.
  • Operational measures continue across four fronts—vehicular emissions, dust control, polluting industries and waste management—with round-the-clock interventions by civic agencies.
  • In the past 24 hours, teams inspected 250 small and 92 large construction sites, swept 6,291 km of roads, sprinkled 1,694 km, deployed 405 anti-smog guns, removed over 12,000 metric tonnes of garbage, issued 7,023 challans, diverted 65 non-destined trucks, decongested 41 bottlenecks and resolved 58 complaints, with a detailed roadmap to follow formal deliberations.