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Delhi Govt Signs MoU with IIT Kanpur’s AIRAWAT to Develop AI-Based Air Quality Monitoring System

Five-year partnership to enable real-time pollution tracking, hotspot detection, and 72-hour forecasting using AI, satellite data, and smart sensors for improved air quality management in the capital.
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Delhi: The Delhi Government has signed a Memorandum of Understanding (MoU) with the AIRAWAT Research Foundation of IIT Kanpur to develop an Artificial Intelligence (AI)-driven Air Quality Management System aimed at tackling the capital’s persistent air pollution challenges through advanced technology and data-driven governance.

The agreement was signed at the Delhi Secretariat under the chairmanship of Chief Minister Rekha Gupta. Cabinet Minister Manjinder Singh Sirsa was also present on the occasion. The MoU will remain in effect for the next five years and focuses on modernizing air quality monitoring and improving scientific decision-making for pollution control.

AI-Powered System for Real-Time Air Quality Monitoring

Under this partnership, an integrated air quality monitoring network will be developed across Delhi. The system will use:

  • Low-cost air quality sensors
  • Mobile monitoring laboratories
  • Satellite-based data integration

This multi-layered approach will enable real-time tracking of pollution levels and provide more precise identification of local pollution sources.

Read also: Delhi CM Rekha Gupta Ends 7-Year Electricity Wait for 36 Harsh Vihar Families During Jan Sunwai Intervention 

Advanced Analytics for Pollution Forecasting and Hotspot Detection

A key component of the project is the development of an AI-based Decision Support System (DSS). This system will help authorities:

  • Identify pollution hotspots more accurately
  • Conduct hyperlocal air quality analysis
  • Use predictive analytics for forecasting pollution trends
  • Provide air quality forecasts 48 to 72 hours in advance

Officials said this will significantly improve the ability to anticipate pollution spikes and respond proactively.

Data-Driven Policy Making for Better Environmental Governance

The initiative aims to strengthen evidence-based policymaking by combining artificial intelligence with advanced data analytics. The system will support:

  • Real-time environmental monitoring
  • Scientific identification of emission sources
  • Faster and targeted policy interventions
  • Improved transparency in air quality governance

According to officials, this marks a shift toward smart and responsive environmental management in the capital.

Government Focus on Technology-Led Pollution Control

Speaking on the occasion, Chief Minister Rekha Gupta highlighted that the partnership will play a crucial role in improving pollution source identification, monitoring hotspots, and enabling timely interventions.

She emphasized that under the leadership of Prime Minister Narendra Modi, India is promoting technology-driven governance, and Delhi is aligning itself with this vision by adopting scientific and AI-based solutions for air quality management.

Environment Minister Manjinder Singh Sirsa added that tackling air pollution requires transparent, result-oriented, and technology-enabled systems. He said the MoU represents a significant step toward building a smart environmental governance framework for the city.

Long-Term Impact on Delhi’s Air Quality Management

The AI-based air quality system is expected to enhance Delhi’s capacity to:

  • Detect pollution sources more precisely
  • Monitor air quality in real time
  • Improve forecasting accuracy
  • Implement timely and targeted action plans

Officials believe the initiative will help create a more sustainable and healthier urban environment in the coming years.

Read also: CM Rekha Gupta Approves ₹1,000+ Crore Mission Yamuna Projects to Boost Delhi’s Water, Sewage and Clean-Air Infrastructure 


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