Bunq Hackathon - Transaction Fraud Detection UI 🔒

Project Overview 🎯

A desktop application built during the Bunq Hackathon that provides a user interface for monitoring and reviewing potentially fraudulent transactions. The application connects to a Machine Learning model via REST API to analyze transactions and alerts users when suspicious activity is detected.

Features ⭐

• Real-time transaction processing and fraud detection
• Interactive UI for reviewing suspicious transactions
• Detailed transaction history with ML model decisions
• Custom warning dialogs with detailed fraud detection reasoning
• Transaction details view with right-click context menu
• Chronological transaction display (newest first)
• Automatic logging of all activities

Technical Stack 💻

• Python 3.x
• Tkinter (UI Framework)
• Pandas (Data Processing)
• Requests (API Communication)

Built With

• api
• encoder
• flask
• ml
• python
• rest
• transformer