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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM53016
Volume:
9 |
10 |
Oct 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The rapid growth of digital transformation in workplaces has created a strong need for intelligent Human Resource Management Systems (HRMS). Traditional attendance and payroll systems are prone to human error, proxy attendance, and manual inefficiency. This paper proposes an AI-powered HRMS that integrates face recognition for attendance, an AI-based leave agent, automated payslip generation, and a notification system for effective communication. Using DeepFace for biometric verification and MongoDB for data management, the system ensures accurate and secure attendance tracking. The application is developed using React.js for the frontend, Node.js for the backend, and Python for face recognition services. The system reduces manual HR operations, enhances transparency, and increases productivity through automation and real-time analytics.
KEYWORDS
Publication Date
12/9/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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