Adaptive Learning Path Optimization Algorithm

Design a Python-based machine learning pipeline using scikit-learn and pandas that dynamically generates personalized learning paths for students based on their individual performance metrics, learning styles, and historical academic data. The algorithm should include predictive modeling to identify potential learning obstacles, recommend targeted interventions, and create real-time curriculum adjustments with at least 85% accuracy. Include a Flask-based dashboard for administrators to visualize student progression and intervention recommendations.