ADAPTIVE E-LEARNING PLATFORM WITH AI TUTORS

The increasing demand for accessible and personalized learning platforms underscores the need for innovative solutions that address limitations in traditional elearning systems.Current technologies often lack the integration of multi-lingual support, interactive learning, and real-time assistance for learners, necessitating a comprehensive approach to enhance user engagement, accessibility, and adaptability.The primary aim of this study is to develop an inclusive Learning Platform Application capable of facilitating secure, personalized, and engaging learning experiences tailored to diverse user needs.The methodology integrates a MERN stack (MongoDB, Express.js,React, Node.js) for robust backend and frontend development, with added features like JWT for secure access and MySQL for scalable data management, ensuring both performance and security.The platform is designed to incorporate an AI-powered chatbot for instant doubt resolution, a versatile compiler for coding exercises, and comprehensive course management features to provide an all-in-one learning solution.Additionally, a PDF reader for accessibility support is included to assist users with visual or hearing impairments, offering inclusive learning resources.Data for testing the application was collected through extensive user feedback and system performance metrics, and analytical tools were employed to evaluate efficacy.Key results demonstrate significant improvements in user engagement and learning efficiency, with a 40% increase in course completion rates and a 25% reduction in user query response times.The findings suggest that integrating AIdriven support and personalized learning paths can substantially enhance the user experience, addressing the prevalent shortfalls in current e-learning platforms.These results underline the potential of this approach in setting a new benchmark for online learning systems, bridging gaps in accessibility, personalization, and interactive learning capabilities.