Developed a Python recommendation engine using Scikit-Learn to personalize educational discovery. By implementing TF-IDF and Cosine Similarity, the system matches user goals with a curated library of MOOCs and textbooks. It features a Flask web interface that weights difficulty and ratings to generate real-time, suitability-ranked study roadmaps.