Smart E-Learning Portal Course Progress with Tracking Recommendations

Digital learning has become an integral component of modern education systems, enabling students to access flexible, self-paced, and interactive learning content.However, most e-learning platforms still lack intelligent personalization and real-time learner performance tracking, resulting in poor engagement and inconsistent learning outcomes.This research presents a Smart E-Learning Portal designed to integrate course management, continuous progress tracking, detailed learning analytics, and automated personalized course recommendations.The system uses learner activity data-such as lesson completion rate, quiz performance, and time spent per module-to predict suitable learning pathways.Implemented using HTML, CSS, Python Flask, and MySQL, the system provides an intuitive interface for learners and administrators.Experimental analysis demonstrates enhanced user engagement, structured learning paths, and improved course completion rates.This study highlights the importance of adaptive learning environments in shaping the future of digital education.