Sanket: A Smart Community Health Monitoring and Early Warning System for Water-Borne Diseases in Rural India
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Abstract
Project SANKET, a comprehensive Smart Community Health Monitoring and Early Warning System designed to combat the recurrent and fatal outbreaks of water-borne diseases in rural Northeast India. Every monsoon, flooded rivers contaminate vulnerable groundwater sources, triggering severe epidemics of cholera, diarrhea, dysentery, and hepatitis. Current public health responses are hindered by slow, manual water testing and fragmented, reactive disease surveillance. This results in a critical time lag, allowing outbreaks to spread unchecked and causing preventable loss of life and heavy economic burdens. To bridge this technological gap, SANKET introduces a multi-layered ecosystem that synergizes Internet of Things (IoT) hardware, Artificial Intelligence (AI), and community participation. Low-cost IoT sensor nodes, termed "Jal Suraksha," continuously monitor water quality parameters such as pH, turbidity, and dissolved oxygen, transmitting data via LoRaWAN or GSM networks. Concurrently, a multilingual, offline-first mobile application empowers villagers and Accredited Social Health Activists (ASHAs) to report health symptoms and manual water test results directly to a centralized cloud. An integrated AI/ML predictive engine analyzes this fused environmental and health data to identify anomalies, forecast outbreak probabilities, and autonomously generate localized alerts for both citizens and health officials. By shifting the public health paradigm from post-outbreak reaction to real-time, predictive intervention, SANKET safeguards vulnerable populations, empowers local women's Self-Help Groups (SHGs), and provides a scalable, cost-effective framework ready for integration into national digital health infrastructures
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