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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

Issue per Year : 12

Volume Published : 11

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Paper Title: Automatic Classroom Attendance System
Authors Name: Prasiddhi Anil Pawar , Snehal Sanjay Parad , Priya Ganpat Phapale , Prajakta Rahul Shinde
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IJRTI_210524
Published Paper Id: IJRTI2603087
Published In: Volume 11 Issue 3, March-2026
DOI:
Abstract: This project presents a real-time attendance management system using image processing techniques. A camera captures student images at the classroom entrance, and facial features are detected and processed for recognition. The system uses Convolutional Neural Networks (CNN) to identify students automatically and mark attendance in a database. This approach reduces manual effort, improves accuracy, and enhances classroom management efficiency.
Keywords: Student Attendance Monitoring, Face Recognition, Convolutional Neural Networks
Cite Article: "Automatic Classroom Attendance System", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 3, page no.a694-a696, March-2026, Available :http://www.ijrti.org/papers/IJRTI2603087.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2603087
Registration ID:210524
Published In: Volume 11 Issue 3, March-2026
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Page No: a694-a696
Country: Pune, Maharashtra, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2603087
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2603087
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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