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##
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title: SentinelNet - Intrusion Detection
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emoji: π‘οΈ
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sdk: docker
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app_file: app.py
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# π‘οΈ SentinelNet β AI-Powered Intrusion Detection System
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A real-time network intrusion detection system powered by Machine Learning.
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Detects multiple categories of cyber attacks using a trained Random Forest model on the NSL-KDD dataset.
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## π Features
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- π Detects 5 types of network traffic:
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- Normal
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- DoS (Denial of Service)
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- Probe
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- R2L (Remote to Local)
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- U2R (User to Root)
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- β‘ Real-time prediction via API
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- π Batch CSV analysis support
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- π§ Feature engineering + preprocessing pipeline
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- π Interactive frontend dashboard
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- π³ Dockerized deployment
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- π CI/CD with GitHub Actions
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---
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## π§ Tech Stack
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- **Backend:** Flask
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- **ML Model:** Random Forest (scikit-learn)
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- **Data Processing:** Pandas, NumPy
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- **Deployment:** Hugging Face Spaces (Docker)
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- **CI/CD:** GitHub Actions
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---
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## π‘ API Endpoints
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### Health Check
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```bash
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GET /health
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