International Journal For Multidisciplinary Research

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AI Enabled Identity Verification with Continuous Duty-Hour Location Tracking for Rural Healthcare Workforce

Author(s) Ms. Divya Sri J, Ms. Abinandhini K M, Ms. Divyadharshini V, Prof. Vijaya Lakshmi D M
Country India
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 or standalone biometric devices that cannot verify a doctor’s 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 doctor’s 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 doctor’s 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.
Field Engineering
Published In Volume 8, Issue 2, March-April 2026
Published On 2026-04-16
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E-ISSN 2582-2160
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