
STUDY POINT: A Hybrid AI-Based Smart Tutor for MSBTE CurriculumĀ | IJET ā Volume 12 Issue 1 | IJET-V12I1P51

Table of Contents
ToggleInternational Journal of Engineering and Techniques (IJET)
Open Access ⢠Peer Reviewed ⢠High Citation & Impact Factor ⢠ISSN: 2395-1303
Volume 12, Issue 1 | Published: February 2026
Author:Sanika Ankush Chavan, Suchitra Kiran Yamale, Samruddhi Sachin Gurav, Mansi Madhukar Kamble, MS S.D Shaikh
DOI: https://zenodo.org/records/18714436 ⢠PDF: Download
Abstract
Study Point is a hybrid AI-based smart tutor designed for students followingthe Maharashtra State Board of Technical Education (MSBTE). Many diploma students facedifficulties in understanding technical subjects and often rely on online resources, whichmaynot match the syllabus exactly and require internet access. Study Point provides bothofflineand online AI support. The offline module delivers syllabus-based answers without internet, while the online module provides more detailed explanations when connected. Basic Natural Language Processing (NLP) techniques are used to understand user queries, evenif theycontain spelling mistakes or abbreviations. Testing shows that the offline module provides faster responses, while the online module gives more accurate and detailed answers. Thissystem improves accessibility, personalized learning, and academic support for MSBTEstudents. The system design is inspired by hybrid AI and adaptive learning research inIntelligent Tutoring Systems (ITS).ā
Keywords
Smart Tutor, Hybrid AI, Offline AI, Online AI, MSBTE, PersonalizedLearning, Artificial Intelligence in Education, E-Learning System, Natural LanguageProcessing (NLP), Adaptive Learning, Educational Technology, Curriculum-Based Learning, Intelligent Tutoring System (ITS), Academic Assistance System
Conclusion
Study Point presents an effective hybrid AI-based smart tutor system designed to meet theacademic needs of MSBTE students. By combining offline and online AI capabilities, thesystem ensures reliability, accessibility, and intelligent assistance. The proposed solutionenhances the learning experience and serves as a practical educational tool for diplomastudents. Future enhancements may include voice interaction, multilingual support, andperformance analytics.
References
[1] M. Young, The Technical Writerās Handbook. Mill Valley, CA: University Science, 1989. [2] S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach, 4th ed., Pearson, 2021. [3] P. Brusilovsky and E. MillĆ”n, āUser Models for Adaptive Hypermedia and Adaptive
Educational Systems,ā The Adaptive Web, Springer, 2007. [4] N. Nilsson, Introduction to Machine Learning, Stanford University Lecture Notes, 2019. [5] MSBTE, āDiploma Curriculum Structure and Syllabus,ā Maharashtra State Board of
Technical Education, India.
Cite this article
APA
Sanika Ankush Chavan, Suchitra Kiran Yamale, Samruddhi Sachin Gurav, Mansi Madhukar Kamble, MS S.D Shaikh (February 2026). STUDY POINT: A Hybrid AI-Based Smart Tutor for MSBTE Curriculum. International Journal of Engineering and Techniques (IJET), 12(1). https://zenodo.org/records/18714436
Sanika Ankush Chavan, Suchitra Kiran Yamale, Samruddhi Sachin Gurav, Mansi Madhukar Kamble, MS S.D Shaikh, āSTUDY POINT: A Hybrid AI-Based Smart Tutor for MSBTE Curriculum,ā International Journal of Engineering and Techniques (IJET), vol. 12, no. 1, February 2026, doi: https://zenodo.org/records/18714436.
