Adaptive Learning Path Recommendation Engine

Design a machine learning-powered recommendation system using pandas and scikit-learn that dynamically generates personalized learning paths for professionals based on their skill assessments, prior knowledge, and career goals. The system should include feature engineering for skill compatibility, predictive modeling for learning trajectory, and a Flask-based API for real-time recommendations. Implement multi-dimensional scoring that considers learning speed, complexity tolerance, and domain-specific skill gaps.