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Project Overview

Our team is building an AI-powered fraud detection system for banking transactions. The platform analyzes transaction behavior in real time to flag suspicious activity, reduce false positives, and help banks respond faster to potential fraud cases.

This project is being developed by students at the University of Dayton, in collaboration with university students from Vietnam, with a focus on practical deployment, scalable cloud architecture, and explainable model outputs so analysts can trust and validate each prediction.

Open Fraud Check MicroService

System Demo

API Demo

Bennett Moore profile photo

Bennett Moore

Project Lead

Alex Testa profile photo

Alex Testa

Developer

Tidiane Dia profile photo

Tidiane Dia

Designer

Paige Myers profile photo

Paige Myers

Developer/Designer

Dhruv Patel profile photo

Dhruv Patel

QA Engineer

Huy Ngo profile photo

Huy Ngo

Partner Developer

Loi Quang profile photo

Loi Quang

Partner Developer