
🎉 REPOSITORY ORGANIZATION COMPLETE!
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✅ ALL TASKS COMPLETED SUCCESSFULLY

📋 Summary of Completed Work:
  • Configuration files organized in config/
  • Temporary files cleaned up
  • Scripts organized by function in scripts/
  • Log directories consolidated
  • File references updated throughout project
  • Structure validation completed
  • Smoke tests executed
  • Final documentation created

📁 Repository Structure:
  • Root directory: 10 essential files only
  • config/: Configuration files and requirements
  • docker/: All Docker-related files
  • docs/: Documentation organized by topic
  • scripts/: Functional script organization
  • src/: Source code
  • tests/: Test files
  • reports/: Reports and coverage
  • temp/: Temporary files
  • logs/: Log files
  • data/: Dataset files
  • models/: Model files
  • notebooks/: Jupyter notebooks

🚀 Project Status:
  • Repository fully organized and clean
  • All duplicate files removed
  • Docker available for training workflows
  • Python environment functional
  • Ready for development and training

🎯 Next Steps:
  • Install MONAI/PyTorch for full training capability
  • Set up CUDA environment if GPU training desired
  • Download datasets for actual training
  • Begin model development workflow

