Dynamic Student Performance Predictive Analytics Dashboard

Design a comprehensive Python-based predictive analytics dashboard using pandas and scikit-learn that forecasts individual student performance risks. The system should integrate historical academic data, attendance records, engagement metrics, and socioeconomic factors to generate probabilistic risk scores. Implement machine learning models that can dynamically update risk predictions, with a Flask-based web interface allowing administrators to drill down into granular insights. Include automated intervention recommendation algorithms that suggest personalized support strategies based on predictive modeling.