Dynamic Student Recommendation & Intervention Platform

Design an intelligent PHP automation system that continuously monitors student academic performance, engagement metrics, and learning patterns. Create predictive algorithms that automatically identify at-risk students, generate personalized intervention recommendations, and trigger automated communication workflows (emails, SMS, dashboard notifications) for academic advisors and support staff. Integrate machine learning models to improve recommendation accuracy over time.