caglaeren/fraud-ai-system
Deep learning fraud detection system using TensorFlow on highly imbalanced credit card transaction data.
This system helps financial institutions and risk analysts automatically identify fraudulent credit card transactions. It takes raw credit card transaction data as input and outputs a fraud risk score for each transaction, flagging potentially fraudulent activities with high accuracy while minimizing false alerts. The primary users are fraud prevention teams and financial analysts.
Use this if you need to build or enhance a system for detecting credit card fraud from historical transaction data, especially when dealing with a very small number of actual fraud cases compared to legitimate ones.
Not ideal if you require a real-time fraud detection system for immediate transaction blocking or if your data is not credit card transaction data.
Stars
7
Forks
1
Language
Python
License
—
Category
Last pushed
Mar 17, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/caglaeren/fraud-ai-system"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
GoogleCloudPlatform/fraudfinder
Fraudfinder: A comprehensive lab series on how to build a real-time fraud detection system on...
benedekrozemberczki/awesome-fraud-detection-papers
A curated list of data mining papers about fraud detection.
jube-home/aml-fraud-transaction-monitoring
Open source AML and Fraud Detection using Machine Learning for Real-Time Transaction Monitoring
safe-graph/DGFraud
A Deep Graph-based Toolbox for Fraud Detection
curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for...