International Journal of Science, Engineering and TechnologyAuthors: Professor Sanjeev, Mr.Feroz Ali, Mr.Krishna, Mr.Mahesh, Mr.Sai Eshwar
Abstract: The rapid growth of digital education has created a demand for intelligent systems capable of delivering personalized and adaptive learning experiences. Traditional e-learning platforms often follow a one-size-fits-all approach, which fails to address individual learning needs, pace variations, and knowledge gaps. To overcome these limitations, this project presents an AI-based Intelligent Tutor System (AI Tutor) designed to provide personalized, interactive, and adaptive learning support. The proposed system leverages Artificial Intelligence (AI) and Natural Language Processing (NLP) techniques to analyze learner behavior, assess performance, and dynamically adapt content delivery. The AI Tutor acts as a virtual mentor that answers queries, recommends learning materials, conducts assessments, and provides instant feedback. Machine learning techniques are used to track student progress and identify strengths and weaknesses over time. The system is implemented as a web-based application with an intuitive user interface, enabling students and instructors to interact seamlessly. By automating tutoring tasks and offering real-time guidance, the AI Tutor enhances learning efficiency, reduces instructor workload, and improves overall educational outcomes.
DOI: http://doi.org/10.5281/zenodo.18181698
