Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM53002
Volume:
9 |
10 |
Oct 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Personalized learning remains one of the most important goals in modern education, as traditional systems often fail to adapt to each learner’s unique pace, style, and comprehension level. Existing e-learning platforms provide static lessons and limited feedback, lacking AI-driven personalization, real-time interaction, and multilingual accessibility. These limitations lead to uneven learning progress, low engagement, and limited concept retention among students. This project presents a GenAI-Based Personalized AI Tutor that integrates advanced Generative Artificial Intelligence (GenAI), Machine Learning (ML), and Natural Language Processing (NLP) to deliver intelligent, adaptive, and interactive learning experiences. The system introduces multiple modules, including: • AI Learning Companion – A conversational tutor capable of explaining topics, answering queries, and engaging learners through natural language. • Personalized Curriculum Generator – Creates customized study plans and adaptive learning paths based on student performance. • Progress Analyzer – Tracks academic growth using AI- driven analytics and provides personalized feedback. • Student Knowledge Graph – A dynamic digital profile that records learning history, identifies weak areas, and recommends targeted improvements. The platform is developed using Flask (backend), React (frontend), and MySQL (database), integrated with Ollama Phi/ChatGPT models for intelligent tutoring and content generation. It supports multilingual learning, ensures data privacy, and operates efficiently even in low-bandwidth environments. By offering adaptive tutoring, real-time assessment, and personalized study recommendations, this project demonstrates how Generative AI can transform digital education, improve accessibility, and promote data-driven, student-centered learning experiences. This comprehensive system aims to provide scalable, adaptive, and inclusive academic support, redefining the way students learn, practice, and progress in the era of AI- powered education.
KEYWORDS
Publication Date
11/9/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
6
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...