Interactive Learning Analytics Dashboard with Student Performance Clustering

Design a comprehensive Python-based learning analytics dashboard using pandas, scikit-learn, and Dash that automatically clusters student performance data into meaningful segments. The system should implement K-means clustering to identify distinct learning profiles, visualize performance trajectories, and generate personalized intervention recommendations. Include predictive modeling to forecast potential academic challenges for each student cluster, with a focus on creating actionable insights for educators.