Automated Student Performance Predictive Dashboard with Machine Learning

Design a comprehensive Python-based predictive analytics system using scikit-learn and Flask that automatically: 1) Aggregates student performance data from multiple learning management systems, 2) Builds predictive models to forecast potential academic risks, 3) Generates personalized intervention recommendations, and 4) Creates an interactive web dashboard for administrators. Include robust error handling, data preprocessing techniques, and scalable machine learning pipelines that can handle datasets from 500-50,000 student records.