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ISSN Approved Journal || eISSN: 2582-8185 || CODEN: IJSRO2 || Impact Factor 8.2 || Google Scholar and CrossRef Indexed

Peer Reviewed and Referred Journal || Free Certificate of Publication

Research and review articles are invited for publication in March 2026 (Volume 18, Issue 3) Submit manuscript

Smart Learn: Personalized Education Through AI And ML

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  • Smart Learn: Personalized Education Through AI And ML

Peddehapu Bhagya Sri Sai Karthikeyini *, Sanjeev Yadav, Kamidi Gopi Mahesh, Jeelakarra Bala Satya Koteswarao and Sape Chittibabulu

Department of CSE, Aditya College of Engineering and Technology, Surampalem, Kakinada, 533437, Andhra Pradesh.

Review Article

International Journal of Science and Research Archive, 2026, 18(03), 001-008

Article DOI: 10.30574/ijsra.2026.18.3.0391

DOI url: https://doi.org/10.30574/ijsra.2026.18.3.0391

Received on 19 January 2026; revised on 27 February 2026; accepted on 02 March 2026

This project focuses on developing Smart Learn, an intelligent learning platform designed to enhance the learning experience using modern digital technologies. The main goal of the system is to provide students with a smart and user-friendly environment where they can access learning materials, practice questions, and improve their knowledge efficiently. The platform is designed to support both self-learning and guided learning by organizing content in a structured and easy-to-understand manner. 

The Smart Learn system is developed with a focus on simplicity, performance, and accessibility. It allows users to register and log in securely, explore different courses or topics, and track their progress. To improve the overall learning outcomes, Smart Learn includes features such as interactive content, quizzes, and progress monitoring. The quiz module helps learners evaluate their understanding and identify weak areas. Based on user activity and performance, the system supports better learning decisions by showing improvements and results in a clear manner. This approach helps students stay consistent and motivated throughout their learning journey. 

Semantic understanding of learning content is achieved using SBERT-based similarity matching, enabling the system to recommend videos that are contextually relevant to the learner’s needs. Difficulty levels are automatically adjusted as the learner progresses, ensuring smooth transitions from beginner to advanced content. 

Smart Learn; Intelligent Learning Platform; E-Learning; Digital Education; Online Learning System; Interactive Learning, Quizzes; Progress Tracking; Self-Learning; Guided Learning; Student Performance Monitoring

https://ijsra.net/sites/default/files/fulltext_pdf/IJSRA-2026-0391.pdf

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Peddehapu Bhagya Sri Sai Karthikeyini, Sanjeev Yadav, Kamidi Gopi Mahesh, Jeelakarra Bala Satya Koteswarao and Sape Chittibabulu. Smart Learn: Personalized Education Through AI And ML. International Journal of Science and Research Archive, 2026, 18(03), 001-008. Article DOI: https://doi.org/10.30574/ijsra.2026.18.3.0391.

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


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