Expression Recognition Model

Abstract

This project focuses on the development and implementation of an expression recognition model designed to accurately identify and interpret human facial expressions. The importance of expression recognition encompasses enhancing human-computer interaction, improving security, offering insights into human emotions, and supporting applications across healthcare, marketing, education, and entertainment. By leveraging advanced machine learning techniques, this model aims to create intuitive and empathetic user experiences, contribute to psychological research, and provide personalized content and services.

Getting Started

download the dataset

download the dataset to train the model on ... through the following link

https://www.kaggle.com/datasets/msambare/fer2013

Cloning the Project

To clone this project onto your local computer, ensure you have git installed and then run the following command in your terminal or command prompt:

git clone https://github.com/tarun4632/expression_recognition

Configuration

Install all the required libraries that are needed to run the code given by running the following command in your terminal or command prompt

pip install -r requirements.txt

Before running the model, you need to update the file paths in the code to match your local file system's locations. This includes paths to datasets, model save directories, and any other file or directory accessed by the code.

Lisence

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