🛡️ PhishGuard AI

AI-Powered Real-Time Phishing & Spam Detection System

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🚀 Features

• ✅ AI-powered phishing and spam detection
• ✅ TF-IDF + Random Forest Machine Learning model
• ✅ Detects modern phishing & investment scams
• ✅ FastAPI backend for real-time predictions
• ✅ Premium Glassmorphism cybersecurity UI
• ✅ Session history with delete functionality
• ✅ Responsive modern dashboard

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📁 Project Structure

/ai phissing detector
├── backend/
│   ├── main.py
│   ├── train_model.py
│   ├── phishing_model.pkl
│   └── requirements.txt
│
└── frontend/
    ├── index.html
    ├── style.css
    ├── script.js
    └── background.png

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🛠️ Installation & Setup

1️⃣ Clone Repository

git clone https://github.com/your-username/phishguard-ai.git
cd phishguard-ai

2️⃣ Backend Setup

cd backend
pip install -r requirements.txt

3️⃣ Train Model (Optional)

python train_model.py

4️⃣ Run Server

python main.py

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🌐 Frontend Setup

Open:

frontend/index.html

in any modern browser.

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🧠 Model Information

Feature	Details
Algorithm	Random Forest Classifier
Vectorization	TF-IDF
Framework	Scikit-learn
Backend	FastAPI
Accuracy	~98.9%

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🔒 Security Note

This project is intended for educational and research purposes only.
Do not rely on it as the only security layer in production environments.

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🤝 Contribution

Pull requests, ideas, and feedback are welcome.

If you like this project ⭐ the repository.

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📜 License

This project is licensed under the MIT License.

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Made with ❤️ for Cybersecurity & AI