# Credit Card Fraud Detection API

## Problem Statement
This project aims to predict whether a credit card transaction is fraudulent or legitimate in real-time. It provides a web interface to submit transaction data and receive a fraud probability score.

## Dataset
The model will be trained on the [Kaggle Credit Card Fraud Dataset](https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud).

## Model
The initial implementation uses a Logistic Regression model as a baseline.

## API Usage
*   `/predict`: POST endpoint that accepts transaction data and returns a fraud probability.
*   `/health`: GET endpoint to check service status.

## Future Improvements
- Implement more advanced models (Random Forest, XGBoost).
- Add user authentication.
- Deploy to a cloud environment.