AI File Organizer：以本機 AI 整理雜亂檔案

Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady Submission 🦥

Introduction

Have you ever spent time searching through a folder full of documents, images, audio files, and programming files? I wanted to explore a simple way to reduce this repetitive work.

For the Hacktoberfest Open-Source AI Challenge, I am building AI File Organizer, a beginner-friendly Python project that uses a locally running open-weight AI model to classify filenames and help organize files into categories.

The Problem

Manually sorting files takes time, especially when a folder contains many different types of files. I wanted to explore how AI could help automate this repetitive task.

What I Built

AI File Organizer uses Python and Gemma through Ollama to suggest categories for filenames.

The categories include:

Study
Images
Documents
Videos
Audio
Archives
Code
Other

The program previews the suggested categories before moving files. The user can review the results and choose whether to apply the changes.

Technology Stack

Python
Ollama
Gemma open-weight AI model
Git and GitHub

How It Works

The user selects a folder.
Python reads the filenames.
The local AI model suggests a category.
The program displays a preview.
The user can apply the changes after reviewing the results.

Demo

Project demonstration: A screenshot of the running program will be added here after testing it locally.

The demo will show sample filenames and the categories suggested by the AI model.

Why Open-Source AI Matters

Running an open-weight model locally gives users more control over their workflow. This project uses a local Ollama service instead of a cloud AI API.

Once the model has been downloaded, classification can run locally without a cloud AI service, provided the local model and Ollama are available.

What I Learned

This project helped me explore Python file handling, connecting to a local AI model, processing JSON responses, and using GitHub to share code.

It also taught me why previewing file operations before applying changes is important.

Future Improvements

Add a graphical user interface.
Support nested folders.
Detect duplicate files.
Add an undo feature.
Improve classification accuracy.

Project Link

GitHub Repository:

Conclusion

AI File Organizer is a learning project exploring how open-weight AI can reduce repetitive file organization work. My goal is to make the process easier while keeping users in control of their files.

This project is being prepared for the Hacktoberfest Open-Source AI Challenge: Week 3, “Slow and Steady.”