Video Management System: An AI-Driven Video System for Students

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Abstract

Video Management Systems (VMS) have emerged as an essential component in digital education, offering structured access to video-based learning resources.This paper reviews a VMS application designed for students, enabling login-based access, package selection, and automatic course enrollment.The system provides topic-specific notes, progress tracking, and test scheduling, ensuring a guided and personalized learning experience.A key feature of the application is its AI-powered video processing, which allows students to locate solutions within videos by entering keywords or questions, thereby directing them to the exact timeline of the explanation.Videos are uploaded in modular chunks directly to the cloud, ensuring scalability and efficiency.By integrating course management, intelligent video navigation, and performance assessment, the proposed VMS enhances learning outcomes while reducing time spent on content searching.This review highlights the potential of AIintegrated VMS to transform student learning through automation, accessibility, and intelligent content delivery.

Fields of Study & Subjects

Multimedia Learning Systems Educational Technology and E-Learning Artificial Intelligence in Education

Publication details

Journal / source
International Research Journal of Modernization in Engineering Technology and Science
Publication date
8 March 2026
Language
EN