Image Classifier Desktop Application

A desktop application for automatically sorting uploaded photos using AI classification. Built with Electron for the frontend and Python for the backend.

Features

• Automatic Photo Sorting: Upload photos and they'll be automatically sorted into categories
• Desktop Interface: Native desktop experience with Electron
• AI-Powered Classification: Backend uses CLIP model for accurate image classification
• Custom Categories: Define your own classification categories
• File Management: View and manage sorted photos through the interface

Project Structure

image-classifier-app/
├── backend/               # Python backend
│   ├── models/            # AI model files
│   ├── routes/            # API endpoints
│   ├── utils/             # Utility functions
│   ├── main.py            # Backend entry point
│   ├── requirements.txt   # Python dependencies
│   └── readme.md          # Backend documentation
|
├── frontend/              # Electron frontend
│   └── readme.md          # Frontend documentation
└── readme.md              # This file

Installation

1. Backend Setup

   cd backend
   pip install -r requirements.txt
   python main.py

2. Frontend Setup

Usage

1. Launch both backend and frontend
2. In the Electron app:
   • Click "Upload Photos" to select images
   • Photos will be automatically sorted into categories
   • View sorted photos in the file explorer interface

Technology Stack

• Frontend: Electron, React, TypeScript
• Backend: Python, FastAPI, CLIP model
• AI: OpenAI's CLIP for image classification

License

MIT License - See LICENSE for details