Gramin Upchar: An AI-Enabled Centralized Web Platform for Bridging the Rural Healthcare Accessibility Gap in India
DOI:
Keywords:
Rural Healthcare, AI-Enabled Platform, MERN Stack, Digital Health, Medical Camp Management, Machine Learning, Disease Prediction, Multilingual Chatbot, Volunteer Coordination, eHealth India.
Abstract
Rural populations in India face profound barriers in accessing quality healthcare due to inadequate infrastructure, digital
illiteracy, language barriers, and the absence of centralised coordination systems. Despite government and NGO-sponsored free medical
camps, participation remains critically low. This paper presents Gramin Upchar, a comprehensive AI-enabled MERN stack web platform
that addresses these challenges through five integrated modules: (1) medical camp discovery and volunteer-assisted registration, (2) role
based dashboards for patients, volunteers, medical colleges, and government officials, (3) a multilingual 24×7 AI chatbot for symptom
checking and camp guidance, (4) machine learning-based disease prediction achieving up to 84.2 % accuracy, and (5) real-time
government health analytics for data-driven resource planning. Comparative evaluation against manual systems demonstrates
improvements of 55 percentage points in camp participation, 51 pp in registration rates, and also 51 pp in government data accuracy.
Built on the MERN stack with JWT authentication, HTTPS/SSL encryption, and cloud auto-scaling, the platform sustains sub-3 s
response times under 1000 concurrent users. Gramin Upchar presents a scalable, secure, and inclusive digital health ecosystem replicable
across rural India.
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
