Paper Title

Student Smart Attendance Through Face Recognition using Machine Learning Algorithm

Article Identifiers

Registration ID: IJNRD_181172

Published ID: IJNRDA001023

DOI: Click Here to Get

Authors

Haritha P , N.Gokul , S.Bhuvanesh babu , V.Barathkumar

Keywords

Machine learning, Face recognition, Smart attendance, Monitoring, Attendance system, Facecapturing

Abstract

Attendance is alwaysmost important methodto be followed and to monitoring student activities and ensuring students are eligible to complete the course. Despite the advances in technology most educational institutions stillusing the old registration system. In this study, we offer a novel method for taking student attendance in the classroom that is more efficient, less time consuming, and can be done utilizing equipment that are already in use. Which are easily accessible with the help of Smartphones,laptops and desktops are examples. The proposed system has the following features The knowledge of machine learning have been put to good use in the creation of an intelligent attendance system with the aid of facial recognition technology.

How To Cite (APA)

Haritha P, N.Gokul, S.Bhuvanesh babu, & V.Barathkumar (May-2022). Student Smart Attendance Through Face Recognition using Machine Learning Algorithm. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(5), 121-124. https://ijnrd.org/papers/IJNRDA001023.pdf

Issue

Volume 7 Issue 5, May-2022

Pages : 121-124

Other Publication Details

Paper Reg. ID: IJNRD_181172

Published Paper Id: IJNRDA001023

Downloads: 000121983

Research Area: Science & Technology

Country: Thiruvallur, Tamilnadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRDA001023.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRDA001023

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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Call For Paper

Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse fields. Its goal is to promote global scientific information exchange among researchers, developers, engineers, academicians, and practitioners. IJNRD serves as a platform where educators and professionals can share research evidence, models of best practice, and innovative ideas, contributing to academic growth and industry relevance.

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Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.

Subject Category: Research Area

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