Automated Student Performance Dashboard with Interactive Visualizations

Design a comprehensive Python-based dashboard using Dash or Streamlit that automatically aggregates student performance data from multiple learning management systems. The dashboard should dynamically pull grade data, track progression across different courses, generate predictive analytics for student success, and include machine learning models that identify at-risk students based on historical performance metrics. Implement secure authentication, real-time data refresh mechanisms, and create exportable PDF reports for administrative review.