Credit Card Fraud Detection System

Data Science

Description

An enterprise-grade anomaly detection engine for banking institutions. Using the Random Forest and XGBoost algorithms, this system identifies fraudulent transactions in real-time. It processes millions of transaction logs to flag suspicious patterns (e.g., unusual location, high velocity). Keywords: 'Identity Theft Protection,' 'Financial Security,' 'Credit Card Processing,' and 'Cybersecurity Solutions.' It helps banks reduce chargebacks and comply with PCI-DSS regulations.

Tech Stack

  • PHP / Python
  • MySQL
  • HTML5

Project Details

ID: 302

Category: Data Science