Archive · 29 Dec 2025
Delhi and IIT-Kanpur collaborate on AI initiatives
The Delhi government is working with IIT-Kanpur on two big projects using Artificial Intelligence.
The first project is to find out where pollution is coming from, like dust, vehicles, and factories.
This will help them understand the impact of different pollution sources and take action quickly.
The second project is to make it easier for people to complain about problems and get them fixed.
Right now, people can complain through different systems, but it's not very organized.
The new system will bring all these complaints together in one place, making it easier to find and fix problems.
This will help the government work better and make people happier.
Delhi government is collaborating with IIT-Kanpur to use AI for identifying pollution sources at a granular level.
The Delhi government is implementing an Intelligent Grievance Monitoring System (IGMS) to integrate multiple grievance portals into one unified dashboard.
The IGMS will feature a Unified Dashboard, Semantic Search, Root Cause Analysis, Department Prediction, and Spam Filtering.
Current actions include strict dust norms, mechanical road sweeping, anti-smog guns, and intensified waste management.
IIT Kanpur will handle system integration, cybersecurity audits, and maintenance of the IGMS portal.
- Who
- Delhi government and IIT-Kanpur
- What
- Collaboration on AI initiatives for pollution control and grievance redressal
- When
- Planning phase, specific timeline not mentioned
- Where
- Delhi, India
- Why
- To enable targeted, timely interventions and improve governance
- Initiative 1
- AI-based pollution source identification
- Initiative 2
- Intelligent Grievance Monitoring System (IGMS)
- Collaboration
- Delhi government and IIT-Kanpur
- Objective 1
- Granular pollution source identification and impact assessment
- Objective 2
- Transparent and efficient governance
- Key Pillar 1
- Dynamic source apportionment
- Key Pillar 2
- Unified Dashboard for grievance redressal
- Focus Areas 1
- Dust, transport, industry, biomass burning, regional factors
- Focus Areas 2
- Semantic Search, Root Cause Analysis, Department Prediction, Spam Filtering
- Current Actions
- Vehicular emissions, dust control, polluting industries, waste management
- Waste Processing
- 35 MT of legacy waste daily
- Current System 1
- Indian Institute of Tropical Meteorology Pune’s (IITM) DSS
- Current System 2
- Public Grievance Management System (PGMS), LG Listening Post, CPGRAMS
- AQEWS Accuracy
- 80% accuracy in forecasting high-pollution days
- Recent Actions
- Inspected 340 construction sites, swept 6,000 km roads, issued 7,000 vehicular pollution challans
Sources
Delhi govt exploring collaboration with IIT-Kanpur to find pollution sources using AI: Sirsa
Real-time data, source identification: Delhi govt set to develop AI-enabled data system with IIT Kanpur to combat air pollution
Delhi explores AI collaboration with IIT Kanpur to track pollution sources
Delhi Govt Explores AI-Based Pollution Mitigation System With IIT Kanpur
Delhi govt constitutes expert committee to combat capital’s hazardous air
Delhi Govt Constitutes Expert Committee to Combat Capital's Hazardous Air
Delhi govt sets up expert panel to seek independent ideas and solutions on air pollution crisis
