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🛡️ FraudGuard

AI-Powered Fraud Detection System

Project Structure

  • backend/ - Spring Boot REST API
  • ml-service/ - Python ML models & fraud detection
  • frontend/ - React dashboard & visualization
  • data/ - Sample datasets & database schemas
  • docker/ - Container configurations
  • docs/ - Documentation & architecture

Quick Start

  1. Clone repository
  2. Set up each component in respective folders
  3. Use Docker for local development

Team Collaboration

  • Create feature branches for development
  • Submit pull requests for code review
  • Follow standard Git workflow

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Languages

  • Java 50.8%
  • Python 34.9%
  • JavaScript 7.2%
  • HTML 4.5%
  • CSS 2.4%
  • Dockerfile 0.2%