https://github.com/davidlopez1190/Sign-Language-Recognition
Welcome to **Sign Language Recognition for Deaf and Dumb** — an innovative real-time application built to bridge communication gaps for the deaf and hard-of-hearing community.
https://github.com/davidlopez1190/Sign-Language-Recognition
american-sign-language cnn deep-learning-projects hand-gesture-recognition inceptionv3 knn logistic-regression lstm machine-learning-projects nearest-neighbor signs slr support-vector-machine surf-feature-extraction
Last synced: 7 days ago
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Welcome to **Sign Language Recognition for Deaf and Dumb** — an innovative real-time application built to bridge communication gaps for the deaf and hard-of-hearing community.
- Host: GitHub
- URL: https://github.com/davidlopez1190/Sign-Language-Recognition
- Owner: davidlopez1190
- Created: 2025-05-15T03:34:47.000Z (about 1 month ago)
- Default Branch: main
- Last Pushed: 2025-06-06T00:21:06.000Z (13 days ago)
- Last Synced: 2025-06-06T01:25:09.085Z (13 days ago)
- Topics: american-sign-language, cnn, deep-learning-projects, hand-gesture-recognition, inceptionv3, knn, logistic-regression, lstm, machine-learning-projects, nearest-neighbor, signs, slr, support-vector-machine, surf-feature-extraction
- Language: Jupyter Notebook
- Size: 17.1 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Sign Language Recognition 🤟
Welcome to **Sign Language Recognition for Deaf and Dumb** — an innovative real-time application built to bridge communication gaps for the deaf and hard-of-hearing community. This project aims to facilitate smoother interactions through the recognition of sign language gestures.
[](https://github.com/davidlopez1190/Sign-Language-Recognition/releases)
## Table of Contents
- [Features](#features)
- [Technologies Used](#technologies-used)
- [Installation](#installation)
- [Usage](#usage)
- [Contributing](#contributing)
- [License](#license)
- [Acknowledgments](#acknowledgments)
## Features
- **Real-Time Recognition**: The application uses advanced machine learning techniques to recognize sign language gestures in real-time.
- **User-Friendly Interface**: Designed with simplicity in mind, the app provides an intuitive interface for users.
- **Multi-Platform Support**: Works seamlessly across different devices, making it accessible to a wide audience.
- **Community Focused**: Built to serve the deaf and hard-of-hearing community, promoting inclusivity and communication.
## Technologies Used
This project leverages several powerful technologies:
- **Firebase**: For authentication and database management.
- `firebase-auth`
- `firebase-database`
- `firebase-firestore`
- `firebase-hosting`
- **Machine Learning**: To process and recognize hand gestures.
- `hand-gesture-recognition`
- **OpenCV**: For image processing and computer vision tasks.
- **React**: The core library for building user interfaces.
- `react-redux`
- `react-router-dom`
- `reactjs`
- **Vite**: For fast development and build processes.
## Installation
To get started with the Sign Language Recognition application, follow these steps:
1. **Clone the Repository**:
```bash
git clone https://github.com/davidlopez1190/Sign-Language-Recognition.git
```
2. **Navigate to the Project Directory**:
```bash
cd Sign-Language-Recognition
```
3. **Install Dependencies**:
```bash
npm install
```
4. **Set Up Firebase**:
- Create a Firebase project.
- Enable Firebase Authentication.
- Set up Firestore and Database as needed.
- Add your Firebase configuration to the project.
5. **Run the Application**:
```bash
npm run dev
```
Your application should now be running on `http://localhost:3000`.
## Usage
To use the Sign Language Recognition application:
1. **Open the Application**: Visit the URL where the application is hosted.
2. **Authenticate**: Log in using your Firebase credentials.
3. **Start Signing**: Use your hands to perform sign language gestures. The application will recognize and translate them in real-time.
## Contributing
We welcome contributions from everyone! If you would like to contribute to this project, please follow these steps:
1. **Fork the Repository**: Click the fork button at the top right of the page.
2. **Create a Branch**:
```bash
git checkout -b feature/YourFeatureName
```
3. **Make Your Changes**: Implement your feature or fix.
4. **Commit Your Changes**:
```bash
git commit -m "Add your message here"
```
5. **Push to Your Branch**:
```bash
git push origin feature/YourFeatureName
```
6. **Create a Pull Request**: Go to the original repository and click on "New Pull Request."
## License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for more details.
## Acknowledgments
- **OpenCV**: For their amazing library that simplifies image processing.
- **Firebase**: For providing a robust backend service.
- **Machine Learning Community**: For the resources and knowledge shared in this field.
For more details and updates, please visit the [Releases](https://github.com/davidlopez1190/Sign-Language-Recognition/releases) section.
Feel free to explore, learn, and contribute to this important project. Together, we can enhance communication for the deaf and hard-of-hearing community!