Statistical Analysis of Human Emotions to Suggest Suitable Music as per Individual's Mood: An Application of AI and ML for NextGen Smart Cities

1.1 Motivation

The Research team have always loved to use smart devices, be it google assistance, Alexa, Cortana, or Siri. Authors were fascinated by the way they reacted when asked something, using voice and how beautifully they responded to that, how a machine can identify different voices and faces among billions of voices and faces and it was always a desire to create something similar.

In today's era of IoT and AI, one thing which authors thought was lacking is that they are unable to judge one’s mood or emotion and respond accordingly. It is always lovable to listen to music but the traditional ways of choosing and making playlist are outdated, in today’s era when most of the things can be connected to an AI why can’t the music apps be like that, which can play according to one’s emotion and mood, therefore, this research work and project was thought a long time ago but due to our own limitation of not knowing how to use ML or Python we could not complete the project then, but when this opportunity came up, the team were excited to make that wish of communicating with the devices using self and family faces a reality.

As music lover’s, old ways of playing and selecting songs is time-consuming, therefore this project could solve these issues and therefore authors decided to work on this project.

1.2 Project Objectives

Music Listeners must waste a lot of time and effort in segregating and creating a playlist manually for different moods, they must waste a lot of time deciding what to play and what not to play according to their mood at that time. In the Present existing application’s, processes of music organization occur using a playlist, and playlist’s songs cannot be altered or modified in single click; you must manually go through each song then have to delete or add. In present times, no applications can be found that allows us music listeners to play songs without having to select the songs manually. This research project objective is to overcome all the above hardships faced by music listeners and to save their time which goes wasted while selecting songs.

This music player based on emotion makes it mandatory for the user to have an account to be able to use the application. The user of the application needs to give permission to the application to be able to get direct access to the camera of the device on which the application is running currently, to capture their live photo and then accordingly the song which is fed in the player is played without the user intervention according to his/her mood.

This project makes the life of all music listeners easier and aims to automate the process of music playing and makes the process a lot of fun. It plays the songs based on the current emotional state of the person who is using the application and in turn automates the process of playing music.

1.3 Scope of Project

Music player based on emotion is a useful application for all music lovers and listeners and can be accessed by any pc or mac device for now. The application can be accessed by anyone who has created a profile by signup in the application. The application can do the following functions, for now, these include:

• 1.Create a user account (sign in or sign up)

• 2.Playing songs by following ways:

  • a.

    Randomly

  • b.

    By creating a Queue.

  • c.

    By Identifying emotion

    • 3.

      Capturing emotion using the camera