GoogleCloudPlatform/fraudfinder
Fraudfinder: A comprehensive lab series on how to build a real-time fraud detection system on Google Cloud
This project helps financial institutions, banks, or e-commerce platforms build a real-time system to detect fraudulent transactions. It takes historical and live transaction data as input and outputs a trained machine learning model that flags suspicious activities instantly. This solution is designed for data scientists, machine learning engineers, and fraud analysts who need to implement robust fraud detection.
248 stars.
Use this if you are a data professional needing an end-to-end guide to build, deploy, and monitor a real-time fraud detection system on Google Cloud.
Not ideal if you are looking for a pre-built, ready-to-use fraud detection API or if you do not operate within the Google Cloud ecosystem.
Stars
248
Forks
92
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Feb 20, 2026
Commits (30d)
0
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