UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 12 Issue 6
June-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIRGW06078


Registration ID:
562467

Page Number

472-480

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Title

ClassSync: An AI-Powered Smart Classroom Management System For Automated Attendance, Personalized Learning, and Real-Time Analytics

Abstract

The main goal of this research work is to design and develop Smart Classroom Management Software (SCMS) that addresses the inefficiencies of traditional classroom management through automation and real-time analysis. Manual methods for attendance tracking, resource sharing, and managing educational activities are often error-prone and time-consuming. SCMS provides solutions by integrating modern technologies, including facial recognition, chatbot support, real-time alerts, and cloud-based dashboards tailored for students, teachers, and administrators. Students can access attendance records, class schedules, notes, and provide feedback through chatbots. Teachers are equipped with tools for attendance management, lecture-wise tracking, profile updates, and note sharing. Administrators monitor all modules, handle system-related complaints, and update academic content as needed. Additional features include centralized scheduling, to-do lists, vocabulary-building games, interactive quizzes, and YouTube video integration. By utilizing advanced algorithms and real-time data processing, SCMS ensures secure communication, resource optimization, and increased engagement. Currently, no existing platform offers this comprehensive range of smart features within a single unified system. The result is a robust prototype that simplifies classroom management, promotes digital learning, and supports the evolving educational ecosystem.

Key Words

Smart Classroom, Classroom Management, Facial Recognition, Educational Chatbot, Dashboard Analytics, Real-Time Alerts, Cloud-Based Education, Student Engagement.

Cite This Article

"ClassSync: An AI-Powered Smart Classroom Management System For Automated Attendance, Personalized Learning, and Real-Time Analytics", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 6, page no.472-480, June-2025, Available :http://www.jetir.org/papers/JETIRGW06078.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"ClassSync: An AI-Powered Smart Classroom Management System For Automated Attendance, Personalized Learning, and Real-Time Analytics", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 6, page no. pp472-480, June-2025, Available at : http://www.jetir.org/papers/JETIRGW06078.pdf

Publication Details

Published Paper ID: JETIRGW06078
Registration ID: 562467
Published In: Volume 12 | Issue 6 | Year June-2025
DOI (Digital Object Identifier):
Page No: 472-480
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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