Lip Reading Application

Overview

The Lip Reading Application leverages advanced deep learning and computer vision techniques to recognize and interpret speech from video footage of lip movements. This innovative tool aims to enhance communication by accurately translating lip motions into text.

Features

• High Accuracy: Achieves 85% accuracy in recognizing and interpreting lip movements.
• Advanced Computer Vision: Utilizes state-of-the-art computer vision algorithms to enhance speech detection.
• Efficient Processing: Optimized for quick and efficient processing of video inputs.
• User-Friendly Interface: Easy to use, with clear and intuitive controls for uploading and processing videos.

Technologies Used

• Programming Languages: Python
• Frameworks and Libraries: TensorFlow, OpenCV, Keras, NumPy, Pandas
• Tools: Jupyter Notebook, Git/GitHub
• Deployment: Streamlit for the web interface

Installation

1. Clone the Repository:

   git clone https://github.com/yourusername/lip-reading-app.git
   cd lip-reading-app
   

Useage

• Upload Video: Use the upload feature to add a video of lip movements.
• Process Video: The application processes the video and interprets the lip movements.
• View Results: The recognized speech text is displayed on the screen.

Acknowledgments

This project is built with the support and resources of the open-source community. Special thanks to the developers and contributors of TensorFlow, OpenCV, and Keras.