AI Powered Adaptive Tutor for Indian Students of Grade 6-12

Abstract

Education today is evolving rapidly, with a strong need for intelligent, personalized, and data-driven learning platforms. Traditional learning environments often lack the adaptability to meet diverse student needs, leading to gaps in engagement and understanding. To address this, our project introduces an AI-Powered Adaptive Tutor System that leverages advanced machine learning algorithms and natural language processing to deliver a customized learning experience. This system intelligently tracks student behavior, quiz performance, and content interaction to dynamically adjust learning paths. Algorithms like Random Forest and Gradient Boosting are used for predicting student performance and recommending targeted resources. K-Means Clustering is applied to identify learning patterns, while NLP extracts feedback insights to fine-tune content suggestions. Additionally, a neural network model supports long-term learning progression modeling. The system also features a responsive web interface, complete with a chatbot assistant that answers student queries related to academics, including subjectspecific formulas and explanations for Math, Physics, Chemistry, Biology, and English. Static queries and AI-generated responses enhance interactivity. The project demonstrates how AI can improve student engagement, learning outcomes, and personalized education delivery, offering a scalable solution for the future of smart education