Adaptive Learning Path Generator with Skill Gap Analysis

Design a Python-based adaptive learning recommendation system that uses machine learning algorithms to analyze a learner's current skills, identify knowledge gaps, and dynamically generate personalized learning paths. The system should integrate multiple data sources including assessment scores, learning history, and competency frameworks. Implement using pandas for data processing, scikit-learn for skill gap prediction, and include a Flask web interface for interactive visualization of learning recommendations.