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 MicroServiceAPI Demo
Bennett Moore
Project Lead
Alex Testa
Developer
Tidiane Dia
Designer
Paige Myers
Developer/Designer
Dhruv Patel
QA Engineer
Huy Ngo
Partner Developer
Loi Quang
Partner Developer