Next-Generation Classroom Management Software for Enhanced Education system

Abstract

The Next-Generation Classroom Management Software (NGCMS) is a comprehensive web application designed to streamline educational processes for students and teachers. This system provides a structured registration and authentication process, ensuring secure access to personalized dashboards. The student module includes Attendance tracking through QR code scanning, Task Management for department-wise assignment tracking, Online Duty (OD) & Leave Application for seamless request approvals, and Zoom Meeting integration for scheduled online classes. The teacher module features Attendance management using QR code generation with live camera validation and face recognition, Task Management for department-based assignments, OD & Leave Approval for in-charge faculty, and Zoom Meeting creation for department-wise scheduling. The system integrates MySQL for backend connectivity, enabling real-time data updates and analytics. By leveraging AI-driven attendance, automated task allocation, and digital approvals, NGCMS enhances administrative efficiency and student engagement, transforming traditional classrooms into smart environments.

Introduction

Next-Generation Classroom Management Software leverages Artificial Intelligence (AI), Computer Vision, and Internet of Things (IoT) technologies to transform educational institutions by automating attendance tracking, task management, and leave applications. Traditional manual methods are inefficient and error-prone, while advanced systems—such as face recognition and QR-based attendance—ensure secure, accurate, and fraud-free student identification. AI-powered analytics provide insights into student engagement, attendance trends, and academic performance, enabling data-driven decision-making.

The software includes modules for automated attendance (via facial recognition and dynamic QR codes), digital task management (assignment tracking and feedback), and streamlined leave/on-duty application processing with real-time approval notifications. These systems reduce administrative workload, enhance transparency, and foster a student-centric learning environment.

Technologies used include Python (Django backend), React.js frontend, OpenCV and YOLO for facial recognition, and QR libraries for attendance, supported by MySQL/SQLite databases and cloud notification services. Performance results show high accuracy (above 95% for face recognition), efficient task delivery and tracking, fast leave request processing, and seamless integration with tools like Zoom for virtual classes.

The future of classroom management points to further integration of AI, machine learning, IoT, blockchain, and immersive technologies to create intelligent, personalized, and secure educational ecosystems.

Conclusion

The Smart Classroom Management System simplifies administrative processes by automating attendance, task assignment, leave approvals, and virtual meetings. The system ensures security through RBAC-based authentication, allowing students and teachers to access only their designated roles. By implementing QR code scanning and face recognition, it prevents proxy attendance and enhances accuracy. The MySQL database securely stores user data, ensuring seamless retrieval and management. The Smart Analytical Dashboard offers real-time insights into student participation and task progress, helping teachers make informed decisions. By reducing manual workload, this system promotes a technology-driven and efficient learning environment. 1) Automates classroom management with attendance tracking, task management, leave approvals, and virtual meetings. 2) Ensures security and efficiency using Role-Based Access Control (RBAC). 3) Enhances accuracy with QR code and face recognition attendance. 4) Provides real-time insights through a Smart Analytical Dashboard. 5) Reduces manual workload and fosters a technology-driven learning environment. 6) Integrate AI-based student behaviour analysis to assess engagement levels. 7) Implement predictive analytics for academic performance monitoring. 8) Enhance security using blockchain for attendance and task records. 9) Develop an IoT-based smart attendance system for contactless check-ins. 10) Introduce a voice-enabled virtual assistant for interactive classroom management. 11) Expand accessibility with multi-language support and mobile app integration. Future enhancements aim to optimize classroom management by integrating AI-driven student engagement tracking, predictive analytics, and IoT-based attendance monitoring. Blockchain technology will improve data security, while voice-enabled assistants will enhance teacher-student interactions. Additionally, multi-language support and mobile app integration will make the system more adaptable, ensuring a smarter, more efficient, and inclusive learning experience.

References

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Copyright

Copyright © 2025 K. Vanishree , Smitha P.B, Ajith Kumar S, Manikandan M, Jayasri T, Abirami A. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.