e-motion

Table of Contents

1. Overview
2. Features
3. Directory Structure
4. Getting Started
   • Prerequisites
   • Installation
5. Usage
6. Contributing

Overview

e-motion is a project designed to analyze emotions from facial features (image data). The project includes Python scripts, HTML templates, CSS styles, and a pre-trained model to deliver accurate emotion detection.

Features

• Emotion detection from images
• Frontend built with HTML, CSS, and JavaScript
• Backend powered by Python and a pre-trained model

Directory Structure

e-motion/
│
├── .devcontainer
├── .github
├── pythonScripts/     # User-defined python package
│   ├── __init__.py
│   ├── clickPhoto2.py # Script to click photo and save
│   ├── preProcess.py  # Script to pre-process data (image file)
│   └── predict.py     # Script to analyze data using pre-trained model
├── .gitignore
├── README.md
├── app.js             # Static JavaScript file
├── index.html         # HTML template
├── main.css           # CSS file
├── model2.h5          # Pre-trained model files
├── requirements.txt   # Python dependencies
└── server.py          # Main server script

Getting Started

Prerequisites

• Python 3.x
• Flask

Installation

1. Clone the repository:

   git clone https://github.com/PALLADIUM26/e-motion.git

2. Navigate to the project directory:

   cd e-motion

3. Install dependencies:

   pip install -r requirements.txt

Usage

• Navigate to http://localhost:5000 in your browser to start using e-motion.
• Run the server on terminal:

  python server.py

Contributing

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