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  Published Paper Details:

  Paper Title

CLASSROOM MANAGEMENT WITH FACIAL RECOGNITION ATTENDANCE SYSTEM

  Authors

  Vaibhav Laxman Bondge,  Ashitosh Santosh Ghodke,  Ravindra H. Adekar

  Keywords

Facial Recognition, Attendance System, Digital Classroom, Web-based System, Computer Vision, Education Technology, Contactless Attendance.

  Abstract


Anyone who has been in a classroom knows that taking attendance can be a disruptive chore. Traditional roll calls are slow, and even modern solutions like fingerprint scanners can cause bottlenecks and raise hygiene concerns. We've developed a fresh approach: a smart, web-based system that uses facial recognition to take attendance automatically and without contact. We've built an entire digital classroom around this idea, making it simple for teachers to manage their courses and for students to stay on track. The platform handles everything from enrolling students and creating new classes to providing easy-to-read dashboards for tracking performance. This paper will walk you through how it was built using technologies like Node.js, Python, OpenCV, and MongoDB, and show you how it works in the real world. With its user-friendly design and ability to spot multiple faces at once, our system proves that technology can make our schools more efficient and secure.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT25A6021

  Paper ID - 290128

  Page Number(s) - i685-i693

  Pubished in - Volume 13 | Issue 6 | June 2025

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Vaibhav Laxman Bondge,  Ashitosh Santosh Ghodke,  Ravindra H. Adekar,   "CLASSROOM MANAGEMENT WITH FACIAL RECOGNITION ATTENDANCE SYSTEM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 6, pp.i685-i693, June 2025, Available at :http://www.ijcrt.org/papers/IJCRT25A6021.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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