AI-Based Employee Attendance Management System

Vikrant Sengar

Title:
AI-Based Employee Attendance Management System

Authors:
Vikrant Sengar

Cite This Article :

Vikrant Sengar "AI-Based Employee Attendance Management System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects, March 2025, pp.616-619, URL: https://www.ijtsrd.com/papers/ijtsrd78602.pdf

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Abstract :
Employee attendance management is an integral part of organizational efficiency to maintain appropriate utilization of the workforce and processing payroll. Conventional attendance systems are plagued with inefficiencies, inaccuracies, and security risks. This research work delves into different attendance management methods, viz., manual methods, biometric authentication, RFID, QR code-based systems, and AI-based solutions. The system proposed here combines QR code-based attendance taking with cloud computing to improve accuracy, security, and real-time monitoring. Performance assessment reflects enhanced effectiveness in handling employee attendance, minimizing errors, and streamlining payroll operations.

Keywords :
Employee attendance, QR code, biometric authentication, cloud computing, real-time tracking, payroll processing, AI-based attendance systems

Publication Details:

Unique Identification Number : IJTSRD78602

Published In : Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects, March 2025

Page Number(s) : 616-619

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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