https://github.com/rohan1279/face-sort

https://github.com/rohan1279/face-sort

Last synced: 3 months ago
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• Host: GitHub
• URL: https://github.com/rohan1279/face-sort
• Owner: Rohan1279
• Created: 2024-09-11T07:39:44.000Z (9 months ago)
• Default Branch: master
• Last Pushed: 2024-10-12T08:25:45.000Z (8 months ago)
• Last Synced: 2025-01-18T14:44:30.554Z (5 months ago)
• Language: TypeScript
• Size: 1.5 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# FacialFileOrganizer

FacialFileOrganizer is an intelligent photo management system that uses facial recognition to automatically organize and categorize your photos based on the individuals present in them.

![Project Overview](public/full-diagram.png)

## Features

- Upload multiple photos via an intuitive drag-and-drop interface

- Automatic facial recognition and categorization

- Organize photos into folders based on recognized individuals

- User-friendly web interface built with React and TypeScript

- Efficient backend processing with Python

## How It Works

1. **Photo Upload**: Users upload photos through the web interface.

   ![Upload Interface](public/upload.png)

2. **Face Detection**: The system analyzes each photo to detect faces.

3. **Face Recognition**: Detected faces are compared against a database of known faces.

4. **Categorization**: Photos are organized into folders based on recognized individuals.

5. **Result Presentation**: Users can view their organized photos through the web interface.

   ![Result Interface](public/output.png)

## Technology Stack

### Frontend

- React with TypeScript

- Tailwind CSS for styling

### Backend

- Python

- FastAPI for API development

- face_recognition library for facial detection and recognition

### Storage

### Hosting

- Vercel for frontend hosting

## Installation

## Usage

## Contributing

Contributions to FacialFileOrganizer are welcome! Please read our contributing guidelines before submitting a pull request.

## Acknowledgments

- Thanks to the creators of the face_recognition library

- Inspiration from Google Photos and similar services