EmojiDetector

Live Emotion Detection with Emoji Expression

Description

EmojiDetector is a Python-based project that detects live emotions and represents them with corresponding emoji expressions. This project leverages machine learning and computer vision techniques to analyze facial expressions in real-time and map them to emojis that best represent the detected emotions.

Table of Contents

• Installation
• Usage
• Features
• Contributing
• License
• Acknowledgements

Installation

To get started with EmojiDetector, follow these steps:

1. Clone the repository:

   git clone https://github.com/Aurjay/EmojiDetector.git
   cd EmojiDetector

2. Create a virtual environment:

   python -m venv venv
   source venv/bin/activate # For Unix-based systems
   venv\Scripts\activate # For Windows systems

3. Install the required dependencies:

   pip install -r requirements.txt

Usage

To run the EmojiDetector, use the following command:

python main.py

Ensure you have a webcam connected as the program will use it to capture live video feed for emotion detection.

Features

• Real-time Emotion Detection: Captures live video feed from the webcam and detects emotions in real-time.
• Emoji Representation: Maps detected emotions to their corresponding emojis and displays them.
• User-Friendly Interface: Simple and intuitive interface for users to interact with.

Contributing

We welcome contributions to enhance the EmojiDetector project. To contribute:

1. Fork the repository.
2. Create a new branch (git checkout -b feature-branch).
3. Make your changes and commit them (git commit -m 'Add some feature').
4. Push to the branch (git push origin feature-branch).
5. Create a new Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgements

• Special thanks to the contributors of open-source libraries and tools that made this project possible.
• OpenCV for computer vision functionalities.
• TensorFlow for machine learning models.