01 · AI / ML
Payment Fraud Detection
A practical fraud-detection project focused on turning transaction data into a clear, usable prediction workflow.
PROJECT 01
A web application that analyses payment data and identifies potentially fraudulent transactions using machine learning. — built to be useful.
The problem
Payment systems need a fast way to flag suspicious transactions without making the user experience complicated.
The approach
Build a lightweight Flask application around a machine-learning prediction flow, then present the result through a simple web interface.
What it does
01Transaction prediction workflow
02Flask web interface
03Machine-learning based classification
04Clear fraud-risk result presentation
Result
A portfolio-ready end-to-end ML web application that connects a prediction model with a usable frontend.
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