Predictive Student Churn Risk Machine Learning Pipeline

Build a TensorFlow.js machine learning model that predicts student dropout probability using historical academic, engagement, and behavioral data. The model should process complex datasets from student information systems, incorporating features like assignment completion rates, forum participation, login frequency, and prior academic history. Create a React-based dashboard that provides real-time risk scoring and intervention recommendations for at-risk students.