MRI
MRI India Journals Vol. 9 No. 4 (2025): Volume 9 Issue 4 2025

Generative -Ai based Virtual Study Guide

Authors

  • Yash Ahirrao BE students, Department of Computer Engineering, ZCOER Pune
  • Parth Badrayani BE students, Department of Computer Engineering, ZCOER Pune
  • Manjiri Chaukaskar BE students, Department of Computer Engineering, ZCOER Pune
  • Harshali Bagul BE students, Department of Computer Engineering, ZCOER Pune
  • Prof. Aparna Mote Head of the Department, Department of Computer Engineering, ZCOER Pune

DOI:

https://doi.org/10.65521/ijasret.v9i4.1736

Keywords:

Advanced learning Generative AI Artificial Intelligence paedology large language models (LLM)

Abstract

This research paper presents the development of a Generative AI-Based Virtual Study Guide designed to
revolutionize personalized learning by dynamically creating content tailored to individual student needs. Through the use of
advanced AI technologies, including natural language processing (NLP) and deep learning, the system analyzes each student’s
unique learning goals, preferences, and performance metrics to generate customized study resources. These resources include
concise summaries, adaptive quizzes, and interactive explanations that are continuously refined to align with the student's
learning pace, subject preferences, and comprehension level. By offering targeted support in real time, the AI-driven study
guide promotes deeper engagement and enhances knowledge retention, addressing the diverse needs of learners across various
educational contexts.

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Published

2025-04-15

How to Cite

Ahirrao, Y., Badrayani, P., Chaukaskar, M., Bagul, H., & Mote, P. A. (2025). Generative -Ai based Virtual Study Guide. International Journal of Advanced Scientific Research and Engineering Trends, 9(4), 43–48. https://doi.org/10.65521/ijasret.v9i4.1736

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