Fraud Detection System for Financial Transactions

Project Description

Our fintech startup needs a real-time fraud detection system. The model should analyze transaction data (amount, location, frequency, etc.) to identify and flag suspicious activities. We require high accuracy and low latency. The provider should have experience with machine learning in the financial sector and be able to deliver a scalable solution that can be integrated into our Python-based backend.