kurtispykes/fraud-detection-project
A mono-repository containing a packaged machine learning model and simple REST API.
This project helps financial institutions and e-commerce companies improve their fraud detection systems. It takes customer transaction data as input and outputs predictions indicating which transactions are likely fraudulent. Risk analysts and fraud prevention teams can use this tool to identify and flag suspicious activities more effectively.
No commits in the last 6 months.
Use this if you need a pre-packaged machine learning model and a simple API to quickly integrate transaction fraud detection capabilities into your existing systems.
Not ideal if you're looking for an out-of-the-box, no-code solution for real-time fraud prevention that handles data ingestion and system integration automatically.
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Last pushed
Dec 22, 2021
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