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README.md

📚 DAFU Documentation

Complete documentation for the DAFU (Data Analytics Functional Utilities) platform.

📖 Documentation Structure

Interactive command-line interface documentation

  • CLI Guide - Complete CLI usage guide

    • Available commands
    • Usage examples
    • Troubleshooting
  • CLI Demo - Interactive demo and examples

    • Quick demo session
    • Real-world scenarios
    • Comparison with old workflow

Docker and containerization documentation

📘 Guides

General usage guides and tutorials

🖼️ Assets

Images, diagrams, and visual resources

  • Architecture diagrams
  • Screenshots
  • Visual guides

🎯 Quick Links

For New Users

  1. Start with Quick Start Guide
  2. Try the Interactive CLI
  3. See CLI Demo for examples

For Developers

  1. Review Implementation Status
  2. Check Docker Status
  3. Explore API documentation (coming soon)

For DevOps/Deployment

  1. See Docker Setup
  2. Review Docker Implementation
  3. Check Kubernetes deployment guide (coming soon)

📋 Documentation Index

Category Document Description
CLI CLI Guide Complete CLI reference
CLI CLI Demo Interactive demos
Docker Docker Status Implementation status
Docker Docker Setup Setup instructions
Guides Quick Start Quick start guide
Guides Implementation Implementation details

🔍 What's New

Latest Updates

  • Interactive CLI - New command-line interface for all operations
  • 🐳 Docker Integration - Complete Docker Compose setup (infrastructure ready)
  • 📊 Enhanced Models - Stream processing and model persistence
  • 🎯 Unified Interface - Single entry point for all fraud detection models

🚀 Getting Started

Option 1: Interactive CLI (Recommended)

# From project root
./dafu

# Run fraud detection
dafu> fraud-detection

Option 2: Direct Python

cd fraud_detection
python src/models/main.py

Option 3: Docker (Coming Soon)

docker-compose up -d

📞 Need Help?


DAFU Platform - Enterprise Fraud Detection & Analytics