International Journal of Technology and Applied Science

E-ISSN: 2230-9004     Impact Factor: 10.31

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 17 Issue 3 (March 2026) Submit your research before the last 3 days of this month to publish your research paper in the current issue.

AI Powered Personalized E-Learning Platform

Author(s) Kajal Pal, Yogita Dhote, Pushkar Verma, Vinayak Bhodekar, Dr. Pankaj Singh Sisodiya
Country India
Abstract This research presents the design and development of an AI Powered Personalized E-Learning Platform that focuses on structured learning through roadmap generation, real-time progress tracking, and intelligent chatbot assistance. The platform is designed to support students and educators by providing an interactive and organized digital learning environment. In addition to guided learning, the system allows students to participate in quizzes, interact through a community discussion forum, and receive certificates after successful course completion.
The platform integrates an AI assistant chatbot to answer learner queries instantly and provide guidance during study. A roadmap generation feature creates structured learning paths based on previous learning behavior or user-selected topics and technologies. Progress tracking monitors completed lessons, quiz scores, and learning activity. Community interaction is enabled through a discussion forum that supports communication between students and instructors. Upon completion of a course, learners receive a domain-specific certificate.
Core algorithms are Role-Based Access Control (RBAC), B-Tree indexing, and transformer-based self-attention are used to ensure secure access, efficient data processing, reliable transactions, and intelligent AI interaction. Experimental evaluation shows that the platform improves learner engagement, learning organization, and system efficiency compared to traditional e-learning systems.
Keywords E-Learning, Artificial Intelligence, MERN Stack, Roadmap Generation, Progress Tracking, Chatbot, Quiz System, Discussion Forum, Certification.
Field Engineering
Published In Volume 17, Issue 3, Array 2026
Published On 2026-03-12
Cite This AI Powered Personalized E-Learning Platform - Kajal Pal, Yogita Dhote, Pushkar Verma, Vinayak Bhodekar, Dr. Pankaj Singh Sisodiya - IJTAS Volume 17, Issue 3, Array 2026.

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