Innovative E-Learning System: Empowering Education Through Engagement and Personalization

The demand for adaptable and engaging learning platforms has led to significant advancements in digital education. However, existing e-learning systems often lack personalization, real-time assessments, and efficient user support, leading to decreased engagement and effectiveness. This paper presents an innovative e-learning platform built using the MERN stack (MongoDB, Express, React, and Node.js), integrating cutting-edge features to enhance the learning experience. The platform includes personalized course recommendations using Collaborative Filtering (SVD), real-time video quizzes with automatic grading, gamification elements (leaderboards and badges), and automated certification generation. A key innovation is the rule-based chatbot, which not only addresses general inquiries but also provides course-specific assistance, ensuring real-time, context-aware learning support—a feature lacking in most existing systems. By addressing critical gaps in engagement and personalization, this system demonstrates a 30% improvement in user satisfaction and participation, paving the way for future advancements such as AI-driven adaptive learning and multilingual support.