lipWiz

Welcome to LipWiz! This repository contains a Streamlit application designed for lip reading using machine learning techniques. We are propelling the field of lipreading through the improvement of a creative framework. In particular, we mean to make an answer prepared to do precisely deciphering and translating discourse exclusively by dissecting lip developments. This approach has broad ramifications for availability, reconnaissance, and human-PC cooperation. Utilizing AI and profound brain organizations, we try to refine and advance existing lipreading models to accomplish higher exactness and effectiveness. At last, our undertaking plans to add to the headway of innovation in discourse acknowledgment and advance comprehensive correspondence frameworks.

Team Mates

Anmol Pandey
Soumya Jethwani
Vasvi Garg

Getting Started

Follow the steps below to set up and run the LipWiz application on your local machine.

Prerequisites

Python (3.7 or higher)
Git

Installation

Clone the Repository

git clone https://github.com/thewolfpandey/lipWiz.git

Navigate to the Repository
```
cd lipWiz
```
Create a Virtual Environment
```
python -m venv venv
```
Activate the Virtual Environment
- Windows
```
.\venv\Scripts\activate
```
- macOS/Linux
```
source venv/bin/activate
```
Install Required Packages
```
pip install -r requirements.txt
```

Running the Application

Navigate to the app Folder
```
cd app
```
Run the Streamlit App
```
streamlit run app.py
```

This will launch the LipWiz application in your default web browser.

Contributing

We welcome contributions! Please feel free to submit issues or pull requests.

Presentation Demo in youtube

thewolfpandey / lipWiz