Adaptive Learning Path Recommendation Engine

Design a Python-based machine learning system that generates personalized learning paths using pandas and scikit-learn. The system should analyze a student's previous performance, learning style, and skill gaps to create dynamically adjusted curriculum recommendations. Implement feature engineering to predict optimal learning sequences, including difficulty progression, recommended resources, and estimated time to mastery. Include a Flask web interface that visualizes the learning recommendations with interactive data visualizations.