AcadPulse

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 AcadPulse?

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

Praveen Hallur

Web Developer

G Manhor

ML Engineer

Shathrughna K

Data Engineer

Manoj Kumar

IoT Engineer

View detailed team

Ready to transform student success?

Explore our system or contact us for a demo.

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