Fraud Transaction Detection For Anti Money Laundering Systems

Overview

This project develops a new approach to fraud transaction detection for anti-money laundering (AML) systems. The approach uses machine learning and artificial intelligence to identify new or emerging patterns of money laundering, reduce the number of false positives, and improve cybersecurity. Open-source project by Jorge Felix Martínez Pazos, published on GitHub.

Highlights

• 2 stars on GitHub
• Open source — view the code and contribute on GitHub

Built with

• Code