Skip to content

PROJECT_ORGANIZATION.md

Latest commit

 

History

History
64 lines (49 loc) · 2.01 KB

PROJECT_ORGANIZATION.md

File metadata and controls

64 lines (49 loc) · 2.01 KB

🗂️ FraudGuard Project Organization

📁 Main Directory - Core Working Files

🏆 Primary Systems:

  • working_fraud_api.py - Your beautiful UI with pricing, UPI & Credit Card detection (Pre-LLM)
  • original_fraud_ui.py - Original beautiful UI with LLM integration
  • upi_fraud_detector.py - Focused UPI fraud detection
  • standalone_fraud_detector.py - Self-contained rule-based detector

🔧 Utilities:

  • status_check.py - System status checking utility

📁 llm_components/ - AI Enhancement Components

🧠 LLM Integration:

  • llm_integration.py - Core LLM framework (OpenAI, Anthropic, Gemini, Ollama)
  • ai_enhanced_fraud_ui.py - AI-powered web interface
  • demo_llm_integration.py - LLM testing framework
  • test_gemini_integration.py - Gemini AI testing
  • quick_ai_demo.py - Quick AI demonstration
  • LLM_INTEGRATION_GUIDE.md - Complete setup documentation

📁 archive/ - Experimental & Old Versions

🧪 Test Files:

  • All test_*.py files
  • All experimental detectors
  • Old UI versions
  • Development utilities

🎯 Usage Guide:

For Clean Fraud Detection (No AI):

python working_fraud_api.py
# Access: http://localhost:5000

For AI-Enhanced Fraud Detection:

python original_fraud_ui.py
# Access: http://localhost:5000

For Standalone Analysis:

python standalone_fraud_detector.py

🚀 Development Workflow:

  1. Primary Development: Use working_fraud_api.py or original_fraud_ui.py
  2. AI Features: Access components in llm_components/
  3. Reference: Check archive/ for older implementations
  4. Clean Workspace: Only essential files in main directory

📊 Project Status:

  • ✅ Core Systems: Working and organized
  • ✅ LLM Integration: Separated and modular
  • ✅ Workspace: Clean and maintainable
  • ✅ Documentation: Up to date

Your workspace is now organized for efficient development! 🛡️✨