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© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM57458

AI Powered Virtual Attendance System

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM57458

Volume:

10 |

3 |

Mar 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM57458

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

SR.

Sayali R .Dashvant1

SSB

Suhani S. Barage2

PRT

Poorva R. Todkar3

SKS

Shrushti K. Sonawane4

SJ

Siddhi Jadhav5

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Abstract

The AI Powered Virtual Attendance System is an intelligent solution designed to automate attendance management using artificial intelligence and computer vision. Traditional attendance processes—such as manual roll calls, ID card scanning, or signature- based methods—are slow, error-prone, and vulnerable to proxy attendance. The proposed system uses face recognition technology to identify individuals in real time and mark their attendance automatically. The process includes capturing a live facial image, extracting key facial features, comparing them with a pre-trained dataset, and updating the attendance record in a secure database. The system also integrates modules for user authentication, dataset storage, attendance logs, and real-time verification. By reducing human intervention, the system increases accuracy, eliminates impersonation, and saves valuable classroom time. This AI-based solution provides a fast, secure, and scalable attendance mechanism that supports digital transformation in educational institutions.

KEYWORDS

AI-powered attendance system Facial recognition Convolutional Neural Networks (CNN) Automated attendance Computer vision Deep learning Cloud database Real-time monitoring Virtual attendance.

Cite This Article

Sayali R .Dashvant1, Suhani S. Barage2, Poorva R. Todkar3, Shrushti K. Sonawane4, Siddhi Jadhav5, "AI Powered Virtual Attendance System," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 3, Mar 2026. https://doi.org/10.55041/IJSREM57458

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Publication Date

11/2/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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3

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5

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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