Adaptive Learning Path Generator with Machine Learning

Design a Python-based adaptive learning recommendation system using pandas and scikit-learn that dynamically adjusts student learning paths based on individual performance metrics. The system should analyze historical student assessment data, track learning progress, and generate personalized curriculum recommendations with at least 85% accuracy. Include feature engineering for student skill gaps, recommendation algorithms, and a Flask-based dashboard for visualizing learning trajectories.