I open-sourced a production-ready Fraud Detection System with CLI, Logging, and Testing

I built a Credit Card Fraud Detection System to practice building robust, production-grade Python applications. Instead of a simple script, I focused on software engineering best practices that are often missing in data science tutorials.

What My Project Does It processes millions of transaction logs to identify fraud in real-time. It includes a full CLI (main.py --mode train), JSON modular logging for audits, and a comprehensive test suite.

Target Audience Intermediate Python learners who want to see:

• How to structure a Python package (src/, tests/, docs/).
• How to use argparse for varied execution modes.
• How to write unit and integration tests with pytest.
• How to implement proper logging instead of print().
• Compliance with linters (pylint) and type hints.

Code: github.com/arpahls/cfd

I'd love to hear your thoughts on the project layout!