Adaptive Learning Path Recommendation Algorithm

Design a machine learning-powered recommendation system using pandas and scikit-learn that dynamically generates personalized learning paths for students based on their academic performance, learning style, and historical assessment data. The system should be able to predict potential knowledge gaps, suggest targeted remedial content, and adjust curriculum recommendations in real-time. Implement cross-validation to ensure algorithm accuracy and include a Flask-based API endpoint for seamless integration with existing learning management systems.