The Chandigarh Administration has launched an AI-based air quality response system that provides real-time pollution mitigation recommendations to municipal authorities. Connected to 30 high-resolution air quality sensors across the city, the system tracks PM2.5, NO2, CO, and O3 levels every five minutes. When pollution exceeds set thresholds, the system automatically recommends interventions such as halting construction, increasing water sprinkling, diverting traffic, or issuing public alerts. The control center also integrates meteorological data to predict high-risk pollution days. During a recent smog event, the system’s early alert led to the prompt deployment of mist cannons and school closures, minimizing health impacts. Authorities have noted a significant improvement in response time and reduction in particulate levels within hours of intervention. Chandigarh plans to share this model with other tier-2 cities facing growing air quality challenges.