Adaptive Learning Path Generator with Machine Learning

Design a Python-based adaptive learning system that uses machine learning algorithms to dynamically customize educational content based on individual student performance. Implement a recommendation engine using pandas for data processing, scikit-learn for predictive modeling, and create a Flask backend that tracks learning progress, identifies knowledge gaps, and generates personalized study sequences. Include functionality to weight learning difficulty, track mastery percentages, and provide real-time skill progression visualizations.