Published Paper Details:

The growing demand for personalized education has accelerated the adoption of digital tutoring platforms. Traditional online learning often lacks adaptability, real-time personalization, and immersive engagement. This research presents the design and implementation of an Augmented Reality (AR) based Home Tutor Website integrated with Machine Learning (ML) models and a MongoDB NoSQL database. The system uses React.js for the frontend, Node.js for backend APIs, and Python-based ML models to recommend suitable tutors, predict student performance, and enhance learning experiences. The proposed architecture ensures scalability, security, and intelligent recommendation through collaborative filtering and natural language processing (NLP). Experimental evaluations demonstrate improvements in recommendation accuracy, system responsiveness, and student engagement compared to traditional e-learning solutions. This paper contributes a novel, modernized, and practical solution that integrates AR with intelligent tutoring, paving the way for next-generation educational technologies.