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@article{186818,
        author = {Sanyam Shrivastava and Sneha Sharma and Shubh Verma and Sanskar Jain and Samarth Agrawal and Urvashi Sharma},
        title = {AI-Driven System for Enhanced Learning Environments},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {2330-2335},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186818},
        abstract = {In modern education, efficient classroom management is crucial, yet traditional methods are often manual, time-consuming, and error-prone. “EduZen” is a comprehensive web application designed to address these challenges by simplifying smart classroom management for administrators, teachers, and students. The platform allows administrators to seamlessly manage curriculums, empowers teachers to track attendance, grades, and resources, and enables students to monitor their performance using AI-powered tools like personalized tracking, quiz generation, and chatbots for learning gap analysis. Additionally, EduZen integrates a video lecture module, enabling teachers to upload and manage topic-wise video lessons using Cloudinary, thereby enhancing accessibility and supporting self-paced learning for students. This research examines the design and implementation of EduZen, evaluating its potential to streamline classroom operations and foster a data-driven learning environment. The study provides a scalable model for integrating smart technology in education, presenting a solution that improves both administrative efficiency and academic performance.},
        keywords = {Student Progress Tracking, AI in Education, Educational Analytics, Academic Monitoring, Data-Driven Learning, Video Lecture Management},
        month = {November},
        }