Background & Description: Ensuring the sustained functionality of Functional Household Tap Connections (FHTCs) is essential for achieving reliable and equitable rural drinking water service delivery under the Jal Jeevan Mission. While infrastructure creation has progressed significantly, there remains a need for continuous monitoring of service delivery at both the Gram Panchayat and household levels to ensure that water is supplied regularly, safely, and in adequate quantity.Existing monitoring mechanisms largely depend on periodic reporting and field inspections, which may not always enable timely identification of service disruptions such as non-functional tap connections, intermittent water supply, poor water quality, inadequate pressure, or infrastructure failures. Further, there is limited provision for capturing real-time feedback from village communities and integrating such information into a unified monitoring platform for prompt corrective action.There is a need for an Artificial Intelligence (AI) and Machine Learning (ML)- based digital solution capable of continuously monitoring the functionality of rural water supply schemes by integrating data from multiple sources including sensors, mobile applications, water quality monitoring systems,and citizen feedback. The solution should analyse patterns, predict service failures, generate actionable alerts, and support data-driven decision-making by Village Water & Sanitation Committees (VWSCs), Gram Panchayats, implementing agencies, and State authorities. The proposed solution should: Continuously monitor the functionality of Functional Household Tap Connections (FHTCs) at Gram Panchayat and household levels using AI/ML techniques. Generate real-time alerts for disruptions in water supply, water quality deterioration, low pressure, leakages, and infrastructure failures. Enable village community members to submit service feedback,complaints, photographs, and geo-tagged observations through mobile devices in local languages. Apply AI/ML algorithms to identify abnormal service patterns,predict potential failures, and prioritize maintenance requirements. Automatically synchronize monitoring data, alerts, and community feedback with IMIS, Sujal Gaon IDs, and other Jal Jeevan Mission digital platforms. Provide interactive dashboards with GIS-based visualization, service status indicators, and analytics for multiple administrative levels. Ensure scalability, interoperability, data security, and ease of deployment across rural water supply systems.
Expected Outcomes
1. Development of an AI and Machine Learning-enabled platform for real-time monitoring of Functional Household Tap Connections and rural water supply service delivery. 2. Early identification and prediction of service disruptions, water quality issues, and infrastructure failures, enabling timely corrective actions. 3. Strengthened community participation through mobile-based citizen feedback, grievance reporting, and service validation mechanisms. 4. Automatic integration of monitoring data with IMIS, Sujal Gaon IDs,and other Jal Jeevan Mission digital platforms for seamless data management. 5. Improved operational efficiency, preventive maintenance planning,transparency, and evidence-based decision-making for sustainable rural drinking water service delivery. 6. Enhanced reliability, accountability, and long-term sustainability of Functional Household Tap Connections through continuous AI-assisted monitoring and analytics.