https://github.com/santhoshmani1/sign-language-recognition
Sign language recognition with LSTM based neural network and tensorflow sequential model
https://github.com/santhoshmani1/sign-language-recognition
machine-learning mediapipe python sign-language-recognition tensorflow
Last synced: about 1 month ago
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Sign language recognition with LSTM based neural network and tensorflow sequential model
- Host: GitHub
- URL: https://github.com/santhoshmani1/sign-language-recognition
- Owner: Santhoshmani1
- License: mit
- Created: 2024-03-03T07:46:20.000Z (over 2 years ago)
- Default Branch: master
- Last Pushed: 2024-03-07T06:12:35.000Z (over 2 years ago)
- Last Synced: 2024-04-28T06:24:47.843Z (about 2 years ago)
- Topics: machine-learning, mediapipe, python, sign-language-recognition, tensorflow
- Language: Python
- Homepage:
- Size: 7.8 MB
- Stars: 2
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: Readme.md
- License: LICENSE
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README
# Sign Language Recognition with LSTM Neural Network
## Introduction
Sign language is a comprehensive language system that employs hand gestures, facial expressions, and body movements to communicate. It serves as a primary means of communication for individuals who are deaf or hard of hearing.
In this project, we aim to bridge the communication gap by developing a system that can recognize and interpret sign language. We leverage the power of Long Short-Term Memory (LSTM) neural networks, a type of Recurrent Neural Network (RNN) well-suited for sequence prediction problems.
## Preview

## Technologies Used
- Python 3.8
- opencv-python~=4.9.0.80
- numpy~=1.26.4
- mediapipe~=0.10.9
- scikit-learn~=1.4.1.post1
- tensorflow~=2.15.0
## Usage
| To use the application, Python 3.8 must be installed on your machine.
1. Fork the repository
2. Clone the repository to your local machine
```bash
git clone https://www.github.com//Sign-Language-Recognition.git
```
3. Install the required packages using pip
```bash
pip install -r requirements.txt
```
4. Run the application
```bash
python main.py
```
## LICENSE
The project is licensed under the MIT License. See the [LICENSE](LICENSE) file for more details.