Music Recommendation through Facial Emotions

Overview

Emotion recognition combined with music recommendation systems offers a fantastic way to enhance the digital era user experience. This project explores a novel approach where personalized music recommendations, depending on users’ current mood, are guided by facial expression detection.

Project Motivation

This project aims to enhance the user experience of digital music services by providing personalized music recommendations based on the user's current emotional state.

Project Vision, Scope, and Glossary

Project Vision

To create a cutting-edge music recommendation system that enhances user experience by leveraging real-time facial emotion detection.

Project Scope

This project focuses on developing a robust system that detects user emotions through facial expressions and recommends songs or playlists accordingly using the Spotify API.

Glossary

• Facial Emotion Detection: Identifying human emotions through facial expressions using machine learning models.
• Music Recommendation System: A system that suggests music tracks or playlists based on user preferences and emotional state.
• Spotify API: An API provided by Spotify to access its music catalog and user data.

Objectives

1. Develop a reliable facial emotion detection system.
2. Integrate the emotion detection system with Spotify's API to fetch personalized music recommendations.
3. Ensure a seamless and user-friendly interface for the application.

Tools

• Frontend: HTML, CSS
• Backend: Node.js
• Emotion Detection: Face-API.js, MTCNN (Multi-task Cascaded Convolutional Networks)
• Music Recommendation: Spotify API

System Requirements, Architecture, and Design

Functional Requirements

1. User Authentication: Sign Up and Sign In functionality.
2. Facial Emotion Detection: Real-time emotion detection using the user's webcam.
3. Music Recommendation: Provide song and playlist recommendations based on detected emotions.

Non-Functional Requirements

1. Performance: The system should perform reliably and efficiently.
2. Usability: The interface should be user-friendly and intuitive.

Installation Guide

Prerequisites

1. Node.js: Ensure you have Node.js installed. You can download it from Node.js Official Website.
2. Spotify Developer Account: Create a Spotify Developer account and obtain the necessary API keys from Spotify Developer Dashboard.

Steps to Install and Run the Project

1. Clone the repository

   git clone [https://github.com/smexinator/Emotify]

   cd Music-Recommendation-Facial-Emotions

2 Install Dependencies

Run the following command to install the required dependencies:

npm install

3 Setup Environment Variables

Create a .env file in the root directory and add your Spotify API credentials:

SPOTIFY_CLIENT_ID=your_spotify_client_id

SPOTIFY_CLIENT_SECRET=your_spotify_client_secret

4 Start the Application

Run the following command to start the application:

npm start