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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.
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