Archive · 13 Nov 2025
Delhi Jal Board Partners with IIT Kanpur for AI-Driven Water Management
Delhi is using smart computer technology called AI to better manage its water systems.
Imagine the city's water pipes and treatment plants have a super-smart assistant that can watch them all the time.
This assistant can find leaks early, predict when pipes might break, and help fix problems faster when people complain.
It will also help make sure everyone is billed correctly.
This new system will help keep the Yamuna River cleaner by watching where dirty water goes.
It will also help manage the underground water better.
This partnership with IIT Kanpur aims to make Delhi's water services more efficient, trustworthy, and focused on the people who live there.
The city's water department will keep control of all the important information.
Delhi Jal Board (DJB) and IIT Kanpur's Airawat Research Foundation (ARF) have signed an MoU to implement AI in water management.
The collaboration will focus on reducing water loss, predictive maintenance, and real-time monitoring of water and sewage treatment plants.
Digital Twin technology will be used to create virtual replicas of water systems for early detection of issues like leakages and inefficiencies.
AI will enhance public grievance redressal, revenue management, and support the Clean Yamuna Mission by monitoring wastewater discharge.
The initiative includes AI-assisted groundwater monitoring and recharge planning to ensure sustainable management of aquifers.
- Who
- Delhi Jal Board (DJB) and IIT Kanpur's Airawat Research Foundation (ARF)
- What
- Signed an MoU to integrate Artificial Intelligence (AI) in managing the city's water and wastewater infrastructure.
- When
- Wednesday
- Where
- Delhi, India
- Why
- To modernize and streamline water and wastewater management systems, reduce water loss, improve efficiency, enhance grievance redressal, and support pollution control.
Existing System
AI-Driven System
Problem Detection
Existing System
Challenges in detecting leakages, pressure drops, and system inefficiencies often occur after issues arise.
AI-Driven System
Digital Twin technology will create virtual replicas to enable early detection of problems before they become significant.
Efficiency and Accuracy
Existing System
Current systems may face challenges with billing accuracy and slower complaint resolution.
AI-Driven System
AI-enabled systems will enhance public grievance redressal and revenue management for faster resolution and accurate billing.
Pollution Monitoring
Existing System
Challenges in effectively monitoring wastewater discharge and pollution sources impacting the Yamuna River.
AI-Driven System
AI-aided monitoring will support the Clean Yamuna Mission by tracking wastewater discharge and pollution sources.
- Partnering Institutions
- Delhi Jal Board (DJB) and IIT Kanpur's Airawat Research Foundation (ARF)
- Date of MoU Signing
- Wednesday
- Objective
- To develop and deploy AI-driven systems for modernizing Delhi's water and wastewater management.
- Key Technologies
- Artificial Intelligence, Digital Twin technology, Predictive analytics, Smart simulations
- Focus Areas
- Non-revenue water reduction, predictive maintenance, real-time monitoring of plants, grievance redressal, revenue management, Clean Yamuna Mission, groundwater monitoring and recharge planning.
- Data Governance
- Data privacy and ownership remain with DJB, in compliance with the Digital Personal Data Protection Act, 2023.
