Case Study

Student Risk Prediction

Predictive analytics system to identify at-risk students using historical data.

Introduction

A sophisticated predictive model designed to analyze educational trajectories. Leverages historical academic performance and engagement metrics to proactively identify students requiring specialized support interventions.

Interface Gallery

Student Risk Prediction view 1
Student Risk Prediction view 2

Key Features

Risk Scoring Algorithm
Academic Performance Tracking
Engagement Analytics
Automated Alerts
Historical Data Correlation

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