---
title: Sign Language Recognition
emoji: 🤟
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 4.44.0
app_file: app.py
pinned: false
---

# 🤟 Sign Language Recognition

An AI-powered application that recognizes American Sign Language (ASL) alphabet letters (A-Z) from images using AutoGluon multimodal deep learning.

## 🎯 Features

- **Real-time prediction**: Upload images or use webcam to capture hand signs
- **High accuracy**: Powered by AutoGluon's state-of-the-art multimodal predictor
- **26 ASL letters**: Recognizes all letters from A to Z
- **Top-5 predictions**: Shows confidence scores for the most likely letters
- **Image preprocessing**: Displays how the model processes your input (224x224 resize)

## 🚀 How to Use

1. **Upload an image** of an ASL hand sign or **use your webcam** to capture one
2. The model will automatically analyze the image
3. View the **top 5 predictions** with confidence scores
4. See the **preprocessed image** that the model actually processes

## 🧠 Model Details

- **Framework**: AutoGluon MultiModalPredictor
- **Task**: Image Classification
- **Classes**: 26 (A-Z letters of ASL alphabet)
- **Input size**: 224x224 RGB images
- **Model size**: ~41.5 MB

## 📋 Examples

The app includes example ASL signs to help you get started:
- Letter A
- Letter B
- Letter C

## 🛠️ Technical Stack

- **AutoGluon**: For multimodal deep learning predictions
- **Gradio**: For the interactive web interface
- **Hugging Face Spaces**: For hosting and deployment
- **PIL/Pillow**: For image processing
- **Pandas**: For data handling

## 📦 Repository Structure

```
.
├── app.py                              # Main application code
├── requirements.txt                     # Python dependencies
├── autogluon_image_predictor_dir.zip   # Trained model (zipped)
└── README.md                           # This file
```

## 🔧 Local Development

To run this app locally:

```bash
# Clone the repository
git clone https://huggingface.co/spaces/Anyuhhh/sign-language-recognition
cd sign-language-recognition

# Install dependencies
pip install -r requirements.txt

# Run the app
python app.py
```

## 📝 Notes

- This model recognizes **static ASL letters** only (not dynamic signs or words)
- For best results, use images with:
  - Clear hand visibility
  - Good lighting conditions
  - Neutral background
  - Hand positioned centrally in frame

## 👨‍💻 Author

Created by [Anyuhhh](https://huggingface.co/Anyuhhh)