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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM53016

AI-Powered Smart Workforce Management with Face Authentication

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM53016

Volume:

9 |

10 |

Oct 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

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.

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Authors

ARA

ARUL RAJ A

R

Rajiniganth

RC

RAJA C

KKV

KRISHNA KUMAR V

KSDS

KIRAN SAGAR D S

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Abstract

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

Face Recognition AI HRMS DeepFace Payroll Automation Leave Management Productivity Analytics Node

Cite This Article

ARUL RAJ A, Rajiniganth, RAJA C, KRISHNA KUMAR V, KIRAN SAGAR D S, "AI-Powered Smart Workforce Management with Face Authentication," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 10, Oct 2025.

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Publication Date

12/9/2025

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Double-Blind Peer Review

Review Rounds: 2

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