Real-Time Student Performance Predictive Analytics Engine

Create a machine learning-integrated PHP system that predicts student performance and potential dropout risks using advanced statistical modeling. Develop a background processing service using Laravel Horizon that continuously analyzes student interaction data, assessment scores, attendance, and engagement metrics. Build a predictive model that generates early intervention recommendations for at-risk students with a confidence scoring mechanism.