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Built with Python and featuring a modern GUI interface.\n\n## Key Features\n\n- 🤖 **AI-Powered Analysis**: Uses Ollama LLM for intelligent content analysis and file categorization\n- 📁 **PARA Methodology**: Organizes files according to the PARA system:\n  - Projects: Active and upcoming work\n  - Areas: Ongoing responsibilities\n  - Resources: Reference materials and tools\n  - Archives: Completed or inactive items\n- 🎨 **Modern GUI Interface**: Built with CustomTkinter for a clean, modern look\n- 🌏 **Multilingual Support**: Full support for English and Korean interfaces\n- 📊 **Rich File Analysis**:\n  - Comprehensive metadata extraction\n  - Content-based categorization\n  - File type detection\n  - Document analysis (PDF, Office files, emails, images)\n- ⚙️ **Advanced Features**:\n  - Undo/Redo operations\n  - Preview organization before applying\n  - Progress tracking\n  - Batch processing\n  - Empty folder cleanup\n  - Automatic backups\n\n## System Requirements\n\n- Python 3.10 or higher\n- Windows 10/11\n- 8GB RAM recommended\n- [Ollama](https://ollama.ai/) installed and running locally\n\n## Installation\n\n1. Clone the repository:\n```bash\ngit clone https://github.com/yourusername/intelligent-file-organizer.git\ncd intelligent-file-organizer\n```\n\n2. Create and activate a virtual environment:\n```bash\n# Windows\npython -m venv venv\nvenv\\Scripts\\activate\n\n# Linux/macOS\npython -m venv venv\nsource venv/bin/activate\n```\n\n3. Install dependencies:\n```bash\npip install -r requirements.txt\n```\n\n4. Install and start Ollama:\n- Download from [ollama.ai](https://ollama.ai)\n- Install the required model:\n```bash\nollama pull mistral\n```\n\n## Quick Start\n\n1. Run the application:\n```bash\n# Windows\nrun.bat\n\n# Linux/macOS\n./run.sh\n```\n\n2. Using the interface:\n- Select your source directory\n- Choose organization options:\n  - Content Analysis: Uses AI to analyze file contents\n  - File Type Organization: Groups by file types\n  - Date Organization: Organizes by creation/modification date\n  - Remove Empty Folders: Cleans up empty directories\n- Click \"Analyze\" to scan files\n- Use \"Preview\" to see the proposed organization\n- Click \"Organize\" to execute the organization\n\n## Configuration\n\nEdit `config.json` to customize:\n\n- Language settings (english/korean)\n- AI model configuration\n- File size limits\n- Backup preferences\n- PARA category names and paths\n- Supported file extensions\n- Organization rules and thresholds\n\n## File Type Support\n\n- Documents: .txt, .doc, .docx, .pdf, .rtf, .odt, .md, .csv, .json, .xml\n- Images: .jpg, .jpeg, .png, .gif, .bmp, .tiff, .webp, .svg\n- Videos: .mp4, .avi, .mov, .wmv, .flv, .mkv, .webm\n- Audio: .mp3, .wav, .ogg, .m4a, .flac, .aac\n- Archives: .zip, .rar, .7z, .tar, .gz, .bz2\n- Code: .py, .js, .html, .css, .java, .cpp, .h, .cs, .php\n- Data: .xlsx, .xls, .db, .sqlite, .sql\n\n## Error Handling\n\nThe application includes comprehensive error handling:\n- Automatic retries for failed operations\n- Detailed error logging\n- User-friendly error messages\n- Operation rollback capability\n\n## Contributing\n\nContributions are welcome! Please feel free to submit a Pull Request.\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n## Acknowledgments\n\n- [CustomTkinter](https://github.com/TomSchimansky/CustomTkinter) for the modern GUI framework\n- [Ollama](https://ollama.ai/) for the AI model integration\n- The PARA method by Tiago Forte","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcskwork%2Ffolder-organizer","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcskwork%2Ffolder-organizer","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcskwork%2Ffolder-organizer/lists"}