EduRisk

AI Driven Academic Intelligence Platform

Real‑time student risk monitoring with machine learning & IoT — proactive recommendations for academic success.

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INTELLIGENCE PLATFORM

Why EduRisk?

Early Risk Prediction

ML models trained on historical records identify at-risk students before academic decline.

IoT Integration

RFID, QR code attendance and lab access data feeds real-time into the ML pipeline.

Live Dashboard

Interactive faculty and student panels with risk heatmaps and intervention tools.

Learn more about our approach

Core capabilities

AI Risk Engine

XGBoost & Random Forest models

Analytics Dashboard

Real-time performance metrics

Recommendations

Personalized study plans

IoT Identification

RFID/QR attendance fusion

Data → Intelligence → Action

📦 Student Data ⚙️ Processing 🧠 ML Model 🚨 Risk 💡 Recommendations 📊 Dashboard
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Technology Stack

Python Flask scikit-learn Bootstrap Raspberry Pi RFID/QR PostgreSQL TensorFlow

Meet Our Team

Aisha V.

Web Developer

Raj P.

ML Engineer

Priya K.

Data Engineer

Dev S.

IoT Engineer

View detailed team

Ready to transform student success?

Explore our system or contact us for a demo.

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