PayFortify

💳 PayFortify – Credit Card Fraud Detection System

PayFortify is a machine learning–based credit card fraud detection system built using Python. It analyzes transaction data to classify whether a transaction is legitimate or fraudulent.

🚀 Features

1. Data Preprocessing – Handles missing values and prepares transaction data for modeling.
2. Machine Learning Model – Trains a classification model on historical fraud data.
3. Model Evaluation – Evaluates performance using accuracy and classification metrics.
4. Fraud Prediction – Predicts whether a transaction is fraudulent based on input features.

📂 Project Structure

PayFortify/
├── fraud.csv
├── main.py
├── requirements.txt

💡 Technologies Used

• Python
• Pandas
• NumPy
• Scikit-learn

🛠️ How to Run

1. Clone the repository:

git clone https://github.com/Agent-A345/PayFortify.git

2. Install the dependencies:

pip install -r requirements.txt

3. Run the application

python main.py

📊 Model Objective

The objective of PayFortify is to identify fraudulent credit card transactions using supervised machine learning techniques, helping reduce financial risk and unauthorized activity.

🔄 Future Enhancements

• Model serialization for deployment
• Web-based interface
• Explainable AI integration
• Real-time fraud detection API

📝 License

This project is licensed under the MIT License.