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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 13, ISSUE 5, MAY 2024

CLASSROOM MANAGMENT USING AI AND IOT

Dr Vinod Wadne, Sanket Jadhav , Yamgar Karan , Pradyumna Vighe, Dnyaneshwar Wagh

DOI: 10.17148/IJARCCE.2024.13562

Abstract: Face recognition technology has emerged as a smart solution for addressing various contemporary needs, including empathy and identity verification. It combines the unique aspects of biometric methods, which seek to establish individual identity through bodily characteristics, with the familiar capabilities of visual recognition systems. This project is designed to streamline the process of maintaining daily attendance records for students. The system operates by recognizing the faces of students and automatically saving their attendance status in a database.

Keywords: Face Recognition, Attendance system and Bio-metric, etc.

How to Cite:

[1] Dr Vinod Wadne, Sanket Jadhav , Yamgar Karan , Pradyumna Vighe, Dnyaneshwar Wagh, “CLASSROOM MANAGMENT USING AI AND IOT,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2024.13562