Automated Fraud Detection Protocol
7.2
A system using machine learning to analyze financial transaction data and identify patterns indicative of fraud, similar to the Do Kwon case. Goes beyond basic rules-based systems by detecting anomalies and unusual transaction sequences, ultimately aiming to prevent large-scale financial scams.
250h
mvp estimate
7.2
viability grade
9
views
technology stack
Python
PostgreSQL
Difficult