Assessfy GovTech & Civic Lab Advanced 6 milestones 100 marks

Smart Sensor-Driven Leak Detection and NRW Monitoring for Urban Water Networks

Theme: Jal Shakti & Sanitation Type: Government / Civic-tech problem-statement project Tags: Water, Sanitation, SDG 6 Team: up to 4 Assessment: 6 impact-lifecycle milestones (100 marks) Hackathon/AICTE-activity-points eligible

Real-world project · AICTE-aligned · AI-graded · Audit-ready certificate

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Milestones
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Available mentors
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Enrolled students
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Core skills
About this project

Objective: Develop a digital platform to detect leaks and reduce non-revenue water in municipal drinking water pipelines for urban local bodies.

Urban water utilities in India lose up to 40% of treated water through leaks, illegal connections, and under-measurement, resulting in significant non-revenue water (NRW) losses that impact city finances, water availability, and service continuity for citizens. This problem, critical for municipal water supply boards and Jal Shakti departments, directly aligns with SDG 6 (Clean Water and Sanitation) and national water security goals.

This solution involves building a prototype system that combines low-cost IoT pressure and flow sensors, open-source GIS mapping (e.g., OpenStreetMap), and a central data analytics dashboard to enable real-time leak detection and NRW hotspot identification in city water supply networks. The approach leverages open data, affordable hardware, and digital mapping for actionable insights.

Key deliverables include: (1) an IoT sensor node design for water pipes, (2) a data collection and anomaly detection platform, (3) an interactive map-based dashboard for utility staff, and (4) a field pilot demonstrating detection of leaks and estimation of NRW on a selected urban pipeline segment.

Measurable impact includes early detection and repair of leaks, reduction in water loss, improved supply reliability, and data-driven NRW reduction. The solution is designed for scalability in small and medium cities, enabling broader adoption by municipal bodies and informing state/national water conservation efforts.

Milestones
1. Problem & Stakeholder Understanding
10 marks 18d
Conduct interviews with municipal water officials and review city NRW reports; submit a stakeholder map and problem definition note for review.
2. Landscape Survey & Open-Data Sourcing
10 marks 16d
Survey existing leak detection solutions and source relevant open datasets (e.g., city water networks, supply data); present a landscape report and data inventory.
3. Solution Design & Architecture
15 marks 24d
Create system architecture diagrams, sensor data flow, and dashboard wireframes; submit a detailed design document and get feedback from mentors.
4. Prototype / Build
30 marks 38d
Develop IoT sensor node, backend, and dashboard; demonstrate pipeline data collection and anomaly detection in a controlled test; code and hardware reviewed for functionality.
5. Pilot & Impact Measurement
25 marks 34d
Deploy prototype on a real or simulated pipeline segment, log leak events and NRW estimates, and submit a short impact report with before/after metrics.
6. Stakeholder Demo & Pitch
10 marks 15d
Present a live demo and final pitch to a jury including technical and municipal stakeholders; submit project documentation and handover materials.
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Skills you'll learn
GovTechCivicGovernmentPublic sectorDigital IndiaJal Shakti & SanitationWaterSanitationSDG 6Embedded systems and IoT hardware integration for water infrastructureTime-series data analytics and anomaly detectionOpen-source GIS mapping and network visualizationUser-centric dashboard/interface design for utility engineersStakeholder interviews with city water board officialsField pilot deployment and impact measurementDocumentation and technical reporting for public-sector adoption
Tools used
OpenStreetMap for GIS base layersdata.gov.in urban water supply statisticsNodeMCU/ESP32 microcontrollersInfluxDB/TimescaleDB for time-series dataGrafana or Kibana for dashboardingPython scikit-learn for anomaly detectionGoogle Sheets or KoboToolbox for field data collection
Prerequisites
Circuit design and sensor interfacingPython/R for data analysisDatabase fundamentals (SQL/NoSQL)Basic web development (front-end and back-end)
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