🔍 Project Overviewhg

AutoPhishingDetector is a machine learning-based tool designed to detect phishing messages using Natural Language Processing (NLP). It aims to provide an intelligent solution for identifying malicious communication patterns with high accuracy.

🧠 Core Features

Text preprocessing and vectorization
Supervised model training using labeled phishing datasets
Evaluation with accuracy metrics
Real-time message prediction via command-line

🛠️ Technologies Used

Python 3
Scikit-learn
Pandas, Numpy
NLP techniques (TF-IDF, CountVectorizer)

📦 Source Code & Documentation

All source code and usage instructions are available on GitHub:
🔗 GitHub - AutoPhishingDetector

🧪 How to Use

# Install dependencies
pip install -r requirements.txt

# Train the model
python train_model.py

# Predict a message
python predict.py --msg "Congratulations! You've won a prize."

💡 Future Improvements

Add transformer-based deep learning models
GUI interface for real-time use
Email integration with alerts

🤝 Author
Morteza NAFARI
Cybersecurity & AI Researcher – France 🇫🇷
GitHub Profile