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International Journal of Scientific Research and Engineering Development( International Peer Reviewed Open Access Journal ) ISSN [ Online ] : 2581 - 7175 |
IJSRED » Archives » Volume 9 -Issue 3

π Paper Information
| π Paper Title | AI Enabled Identity Verification with Continuous Duty-Hour Location Tracking for Rural Healthcare Workforce |
| π€ Authors | Mr.P.Rajapandian, S.Senthil |
| π Published Issue | Volume 9 Issue 3 |
| π Year of Publication | 2026 |
| π Unique Identification Number | IJSRED-V9I3P225 |
| π Search on Google | Click Here |
π Abstract
Primary Health Centers (PHCs) are frontline healthcare units responsible for delivering essential medical services, maternal care, disease surveillance, and emergency support to rural and semi-urban populations. Their effectiveness depends heavily on the consistent presence of medical officers. However, current attendance mechanisms in many PHCs rely on manual registers orstandalone biometric devices that cannot verify a doctorβs real-time presence at the facility. These traditional systems allow proxy punching, lack geospatial validation, fail to capture time-bound compliance, and provide no mechanism to continuously track a doctorβs location during duty hours. As a result, unauthorized absenteeism, delayed arrivals, and unverifiable attendance records frequently disrupt healthcare delivery. To overcome these limitations, this project proposes an AI-integrated PHC Doctor Attendance Monitoring System that combines facial recognition with continuous geolocation verification. Doctors mark attendance through a secure mobile platform that captures a facial image with embedded GPS metadata, which is authenticated using a CNN-based recognition model. The system enforces geofencing and periodically re-validates the doctorβs live location throughout the shift to ensure sustained presence within the PHC premises. Automated alerts are triggered for missed check- ins, geofence violations, or extended absence, and notifications are escalated to PHC administrators, block-level authorities, and higher health officials. Additionally, the platform incorporates a structured patient data module for logging daily consultations, enabling accurate monitoring of service delivery. Real-time verification and continuous geo-tracking improve accountability and operational efficiency in PHCs.
π How to Cite
Mr.P.Rajapandian, S.Senthil,"AI Enabled Identity Verification with Continuous Duty-Hour Location Tracking for Rural Healthcare Workforce" International Journal of Scientific Research and Engineering Development, V9(3): Page(1738-1746) May-June 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.
π Other Details
