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

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International 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  ā€¢  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 Writer’s 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, ā€œUser 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, ā€œDiploma 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, ā€œSTUDY 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.
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