AnthonyByansi/Fraud-Detection-Dynamics
Fraud Detection Dynamics is a machine learning system that uses advanced algorithms to identify fraudulent transactions in real-time
This system helps financial institutions and e-commerce platforms automatically identify and flag suspicious transactions as they happen. It takes in transaction data and uses machine learning to determine if a transaction is likely fraudulent, helping reduce financial losses and protect customers. It's designed for risk analysts and fraud prevention teams.
No commits in the last 6 months.
Use this if you need to detect fraudulent credit card transactions, online purchases, or other financial activities in real-time.
Not ideal if you are looking for a system to investigate fraud cases manually or to prevent identity theft before transactions occur.
Stars
13
Forks
2
Language
—
License
MIT
Category
Last pushed
May 22, 2023
Commits (30d)
0
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