Abstract
This research presents a novel Learning Management System (LMS) built on the MERN stack (MongoDB, ExpressJS, ReactJS, and NodeJS) that leverages user-generated reviews and course ratings to deliver personalized learning experiences. Moving beyond traditional LMS limitations, this system empowers individualized learning journeys by employing a collaborative filtering approach. Users contribute reviews and ratings on learning materials, and the system analyzes this data to identify patterns and recommend relevant courses aligned with individual preferences and learning styles. This user-driven approach fosters a dynamic learning environment where insights are shared and leveraged to optimize the learning path for each individual. Initial evaluations demonstrate the system's effectiveness in suggesting valuable courses based on user preferences, fostering deeper engagement and encouraging learners to explore new knowledge horizons. The research highlights the potential of this MERN-based LMS to revolutionize personalized learning by harnessing the collective intelligence of its users. Keywords: ReactJS, NodeJS, ExpressJS, MongoDB, MERN Stack, Learning Management System (LMS), Recommendation System, EdTech.
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