🛡️ SENTINEL AI — Asset Theft Identification System

Advanced AI/ML-based real-time asset theft detection, prediction, and prevention platform for institutional environments.

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🌐 Live Demo

View on Netlify →

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🚀 Features

Module	Technology	Capability
📹 Computer Vision	YOLOv8-class Canvas AI	Real-time person & object detection
🧬 Behavioral Analytics	LSTM anomaly scoring	Loitering, zone violation detection
📡 IoT Sensor Fusion	Bayesian probability	RFID + motion + smart lock fusion
🔮 Predictive Risk Engine	Temporal + spatial model	24-hr theft probability forecasting
⛓️ Blockchain Ledger	SHA-256 hash chain	Tamper-proof asset event log
🔗 Federated Learning	Privacy-preserving AI	Multi-campus model aggregation

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📄 Pages

• index.html — Command Center with live stats and threat overview
• dashboard.html — 6-camera live monitoring grid with AI detection overlays
• analytics.html — Risk heatmap, temporal forecasting, behavioral charts
• incidents.html — Incident log, forensic replay, blockchain ledger

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🏗️ Architecture

Multi-Modal AI Surveillance Pipeline
├── Edge AI (Camera Feed Simulation)
│   └── ai-engine.js → YOLOv8-class Canvas detection
├── Behavioral Intelligence
│   └── behavioral.js → LSTM anomaly scoring
├── Sensor Fusion Layer
│   └── sensor-fusion.js → Bayesian IoT fusion
├── Predictive Risk Engine
│   └── risk-engine.js → Temporal risk modeling
└── Alert Pipeline
    └── alerts.js → Real-time notification system

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📊 Performance Metrics

• Detection Latency: < 2 seconds
• F1-Score: 94.2% | Precision: 96.1% | Recall: 92.4%
• False Alarm Rate: 3.8%
• System Uptime: 99.7%
• Assets Protected: 454 across 6 campus zones

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🚀 Deployment

This is a pure static site — no build step required.

Run Locally

python -m http.server 5500
# Open http://localhost:5500

Deploy to Netlify

1. Fork / push to GitHub
2. Connect repo to Netlify
3. Set publish directory to . (root)
4. Deploy!

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👨‍💻 Developed By

Prof. R. Anjit Raja — RCAS Hackathon 2026
Innovation Cell | Laptop Theft Identification System