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This project leverages Flask for the web interface and TensorFlow/Keras for the machine learning model to recognize sign language gestures in real-time from a webcam feed. Features Real-time sign language gesture detection. Web interface for video feed and gesture recognition..

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thekhushalsingh/Sign-Language-detection-System

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Sign-Language-Detection-System

A real-time application for detecting and recognizing sign language gestures using a webcam feed.

Table of Contents

Overview

This project leverages Flask for the web interface and TensorFlow/Keras for the machine learning model to recognize sign language gestures in real-time from a webcam feed.

Features

  • Real-time sign language gesture detection.
  • Web interface for video feed and gesture recognition.
  • Utilizes a CNN model for gesture recognition.

Installation

  1. Clone the repository:

Libraries Used

  • Flask: Web framework
  • OpenCV: Video capture and processing
  • NumPy: Numerical operations
  • TensorFlow/Keras: Machine learning model
  • Splitfolders: Dataset splitting
  • Logging: Logging messages

Contact

For questions or suggestions, please open an issue or contact me at [khushalsingh9445@gmail.com]

About

This project leverages Flask for the web interface and TensorFlow/Keras for the machine learning model to recognize sign language gestures in real-time from a webcam feed. Features Real-time sign language gesture detection. Web interface for video feed and gesture recognition..

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