Introducing a Revolutionary AI-Powered Python Script for Local File Organization

In an era where digital clutter can easily spiral out of control, managing files efficiently across different devices has become a necessity. Recognizing this challenge, I developed an innovative Python script designed to intelligently organize your files using Artificial Intelligence, all while operating completely on your local machine.

Exciting Update: Version 0.0.2

Version 0.0.2 of the script brings a host of new capabilities to enhance your file management experience:

• Dry Run Mode: This feature allows you to preview the results of the sorting process without making any permanent changes, giving you complete control over your file organization.
• Silent Mode: For those who prefer minimal on-screen updates, this mode saves all logs to a text file, offering a quieter alternative.
• Expanded File Support: The script now supports additional file types including .md, .xlsx, .pptx, and .csv, broadening its utility.
• Multiple Sorting Options: Users can now sort files based on their content, the date they were created or modified, or their file types.
• Enhanced Default Text Model: With the integration of Llama 3.2 3B, the accuracy and efficiency of text processing have been significantly improved.
• Improved CLI Interaction: Enhancements have been made to streamline the command-line interface interaction for a smoother user experience.
• Real-Time Progress Bar: Stay informed of your file analysis progress with an intuitive progress bar.

For more information on the latest features, and to download the stable version 0.0.2, visit the official GitHub page.

For those interested in exploring incremental updates and trying out experimental features, my personal repository is available here: GitHub Repository.

A Deeper Dive into the Project

This project was conceived out of a need for a more intelligent and privacy-conscious file management tool. While previous solutions like LlamaFS offered some functionalities, they required an external AI API and could not operate entirely offline. My script, developed using the Nexa SDK, ensures complete privacy by running AI models like Google Gemma2 2B and llava-v1.6-vicuna-7b directly on your device.