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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM23803

Generic Know- How for Student Attendance System Implementation Using Deep Learning Technique

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM23803

Volume:

7 |

6 |

Jun 2023

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

RAH

Rashmi Atul Hire

DPUB

Dr. Pawar U. B

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Abstract

This short review report aims to analyse and evaluate the effectiveness of a student attendance system that utilizes deep learning techniques. The study investigates the advantages and limitations of employing deep learning in the context of monitoring student attendance. By examining existing literature, experimental studies, and real-world implementations, this report provides an in-depth analysis of the system’s capabilities and its impact on educational institutions. The findings presented here shed light on the potential benefits and challenges associated with deploying a student attendance system based on deep learning techniques. This is a generic review presented for the better implementation of the said system which will become a roadmap for any researcher for the further necessary implementation of the system.

KEYWORDS

Attendance Management System Deep Learning Educational System Smart Systems

Cite This Article

Rashmi Atul Hire, Dr. Pawar U. B, "Generic Know- How for Student Attendance System Implementation Using Deep Learning Technique," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 6, Jun 2023. https://doi.org/10.55041/IJSREM23803

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Publication Date

6/19/2023

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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