GEN AI Based Personalized AI Tutor
Kalaivani K 1, Praanesh M R 2, Surya M3, Vikram E 4
Assistant Professor, CST, SNS College of, Coimbatore – 641107. Email: kalaivani.k.csd@snsce.ac.in
Final Year, CST, SNS College of Engineering, Coimbatore – 641107. Email: praaneshramesh2004@gmail.com
Final Year, CST, SNS College of Engineering, Coimbatore – 641107. Email: suryams627@gmail.com
Final Year, CST, SNS College of Engineering, Coimbatore – 641107. Email: vikramelangovan769@gmail.com
Abstract - 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: Personalized AI Tutor, Adaptive Learning, Educational Analytics, GenAI, NLP, AI in Education, Student Knowledge Graph, Multilingual Learning, Intelligent Tutoring Systems, Digital Learning Platforms.
