- Delhi government partners with IIT Kanpur’s AIRAWAT Foundation to deploy an AI-based air quality monitoring system featuring real-time pollution tracking, hotspot detection, and 72-hour forecasting capabilities.
The Delhi government has signed a Memorandum of Understanding (MoU) with the AIRAWAT Research Foundation of IIT Kanpur to develop an advanced artificial intelligence-driven air quality monitoring and management system aimed at addressing the capital’s long-standing pollution challenges. The partnership reflects the government’s increasing focus on technology-led environmental governance and data-driven policy intervention.
The agreement, signed at the Delhi Secretariat in the presence of Chief Minister Rekha Gupta and Environment Minister Manjinder Singh Sirsa, will remain effective for five years. Under the collaboration, Delhi will establish an integrated air quality monitoring network using low-cost sensors, mobile monitoring laboratories, satellite data integration, and AI-powered analytics systems. Officials state that the initiative is intended to improve real-time environmental monitoring and enable more precise identification of pollution sources across the city.
A major component of the project is the creation of an AI-based Decision Support System (DSS), which will help authorities conduct hyperlocal pollution analysis, identify pollution hotspots, and forecast air quality conditions 48 to 72 hours in advance. The forecasting system is expected to support quicker administrative responses and allow authorities to implement preventive measures before pollution levels worsen.
Officials believe the initiative will strengthen scientific and evidence-based policymaking by combining predictive analytics, sensor-enabled infrastructure, and real-time environmental data. The government states that the technology will improve transparency, enhance monitoring efficiency, and support targeted pollution-control interventions across Delhi.
The collaboration also builds on previous environmental initiatives undertaken jointly by the Delhi government and IIT Kanpur, including cloud-seeding experiments and advanced pollution-monitoring research projects. Experts note that Delhi continues to face severe air quality challenges, particularly during winter months, increasing the need for more sophisticated forecasting and monitoring systems.
According to officials, the AI-driven framework is expected to support long-term environmental planning and create a more responsive urban pollution management ecosystem. The project aligns with broader national efforts to integrate artificial intelligence and smart technologies into governance and public infrastructure systems.
