https://github.com/pradeep31747/signtech-real-time-sign_language_recognition

SignTech: Real-time Sign Language Recognition SignTech leverages advanced computer vision and machine learning to translate sign language gestures into text or speech in real-time. This innovative system bridges communication gaps, making interactions between deaf and hearing communities more inclusive and accessible.
https://github.com/pradeep31747/signtech-real-time-sign_language_recognition

cnn digitrecognition git machine-learning opencv python tensorflow

Last synced: about 15 hours ago
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SignTech: Real-time Sign Language Recognition SignTech leverages advanced computer vision and machine learning to translate sign language gestures into text or speech in real-time. This innovative system bridges communication gaps, making interactions between deaf and hearing communities more inclusive and accessible.

• Host: GitHub
• URL: https://github.com/pradeep31747/signtech-real-time-sign_language_recognition
• Owner: Pradeep31747
• Created: 2024-07-24T15:23:33.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-07-24T15:36:22.000Z (6 months ago)
• Last Synced: 2024-11-23T21:46:41.184Z (2 months ago)
• Topics: cnn, digitrecognition, git, machine-learning, opencv, python, tensorflow
• Language: Jupyter Notebook
• Homepage:
• Size: 2.75 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# SignTech: Real-time Sign Language Recognition

## Overview

SignTech is an innovative project designed to bridge communication gaps between the deaf and hearing communities. By leveraging advanced computer vision and machine learning techniques, SignTech translates sign language gestures into text or speech in real-time, making interactions more inclusive and accessible.

## Dataset

https://www.kaggle.com/datamunge/sign-language-mnist

## Features

- **Real-time Recognition:** Instantly translates sign language gestures into text or speech.

- **High Accuracy:** Utilizes deep learning algorithms for precise gesture recognition.

- **User-Friendly Interface:** Simple and intuitive design for ease of use.

- **Multi-Language Support:** Capable of recognizing multiple sign languages.

## Technologies Used

- **Programming Languages:** Python, JavaScript

- **Frameworks:** TensorFlow, OpenCV, React

- **Machine Learning:** Convolutional Neural Networks (CNNs)

- **Tools:** Git, Docker, VS Code

## Installation

1. **Clone the Repository:**

    ```bash

    git clone https://github.com/yourusername/signtech.git

    cd signtech

    ```

2. **Install Dependencies:**

    ```bash

    pip install -r requirements.txt

    ```

3. **Run the Application:**

    ```bash

    python app.py

    ```

## Usage

1. **Launch the Application:**

   - Start the application by running `python app.py`.

   - Open your web browser and navigate to `http://localhost:5000`.

2. **Using SignTech:**

   - Use your camera to capture sign language gestures.

   - The system will translate the gestures into text or speech in real-time.

SignTech aims to make communication more inclusive and accessible. Join us in our mission to bridge the communication gap and empower the deaf and hearing communities!