# Emotional and Sentimental Analysis

A project for analyzing emotions and sentiments

## Table of Contents
- [Introduction](#introduction)
- [Features](#features)
- [Installation](#installation)
  - [Backend](#backend)
  - [Frontend](#frontend)
  - [Face Recognition Module](#face-recognition-module)
- [Usage](#usage)
- [Contributing](#contributing)
- [License](#license)

## Introduction

Emotional and Sentimental Analysis is a project designed to analyze the emotions and sentiments expressed in text data and real time facial expressions.


## Features

- Analyze facial emotions
- Personality Test using MBTI model

## Installation

To get started with Emotional and Sentimental Analysis, follow these steps:


1. Download or clone the repository:
   ```bash
   git clone https://github.com/your_username/emotional-sentimental-analysis.git

Backend

1. Navigate to the backend directory:

   cd EASY/backend

2. Install dependencies:

   npm install

3. Create a .env file in the backend directory with the following content:

   MONGO_URL=your_mongodb_database_url_with_username_and_password
   PORT=3001
   JWT_SECRET=your_secret_jwt_key
   

Frontend

1. Navigate to the frontend directory:

   cd EASY/frontend

2. Install dependencies:

   npm install

Face Recognition Module

1. Navigate to the face recognition module directory:

   cd EASY/face-api.js-master/face-api.js-master/examples/examples-browser

2. Install dependencies:

   npm install

Usage

To use Emotional and Sentimental Analysis, follow these example steps:

1.Navigate to the home directory(EASY) :

cd EASY

 npm run dev

2. Access the project at http://localhost:3000 in your web browser.

Contributing

Contributions to Emotional and Sentimental Analysis are welcome! If you'd like to contribute, please follow these guidelines:

• Fork the repository.
• Create a new branch for your feature or bug fix.
• Make your changes and commit them with clear messages.
• Submit a pull request, explaining the changes you've made.

License

This project is licensed under the MIT License.