andrei2timo/emotion-recognition

Emotion Recognition

This repository contains code for emotion recognition using machine learning techniques.

Overview

Emotion recognition is an important task in various fields including human-computer interaction, healthcare, and entertainment. This project aims to develop models that can accurately recognize human emotions from various input modalities such as facial expressions, text, and speech.

Contents

• data/: Contains datasets used for training and testing the emotion recognition models.
• models/: Implementation of different machine learning models for emotion recognition.
• scripts/: Scripts for data preprocessing, model evaluation, and deployment.

Usage

1. Clone this repository:

git clone https://github.com/andrei2timo/Emotion-recognition.git

2. Install the required dependencies:

pip install -r requirements.txt

For both options, when an emotion is reflected, an emoji will be displayed according to the reflected emotion accordingly:

3. Run the scripts to train the models, evaluate performance, and deploy the models.

Contributing

Contributions are welcome! Feel free to submit issues or pull requests.

License

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