Edge AI-IoT Integration for Ayushman Bharat & Pranam Card Systems: Accelerating Rural Healthcare Recovery in Sitamarhi District, Bihar

Bhavya Shahi

Abstract: Sitamarhi District faces a dual healthcare ID ecosystem: Ayushman Bharat PM-JAY's 50 crore national ABHA cards, alongside Haryana's pioneering Pranam Card model (1.8 crore UHIDs). This research proposes a unified edge AI-IoT framework that integrates both systems, transforming static health IDs into predictive recovery platforms. Deployed across 20 representative Sitamarhi households (68% agricultural demographics), the Raspberry Pi + TensorFlow Lite prototype achieved 94.8% offline uptime despite 52% rural 3G penetration, reducing simulated time-to-intervention from 28.4 hours to 4m52s (-99.2%) and accelerating recovery trajectories by 35.7% for TB, diabetes, and maternal cases. By fusing Pranam Card's proven interoperability with Ayushman Bharat's ₹5 lakh coverage, this hybrid architecture bridges Bihar's urban-rural divide, positioning Sitamarhi as India's dual-ID AI healthcare testbed while demonstrating high school innovation capacity for national scalability.

Keywords: rural healthcare technology, edge computing, digital health ID, remote patient monitoring, public health systems

How to Cite?: Bhavya Shahi, "Edge AI-IoT Integration for Ayushman Bharat & Pranam Card Systems: Accelerating Rural Healthcare Recovery in Sitamarhi District, Bihar", Volume 15 Issue 1, January 2026, International Journal of Science and Research (IJSR), Pages: 1637-1638, https://www.ijsr.net/getabstract.php?paperid=SR26120081205, DOI: https://dx.doi.org/10.21275/SR26120081205