Unveiling the Impact of Machine Learning-Based Mood Tracking Apps on Individual Emotional Well-Being Management: A Comprehensive Analysis

Abstract

This paper aims to propose a machine learning model, which can predict the mood of a person based upon his/her chosen options. The model receives the input as the choices filled by the person on a preset questionnaire and the model predicts the mood using trained machine learning model. The options can be taken by the means of mobile or handheld device with simple interface application. The application must have an authentication system, so that the data will remain secure. An application should be easy to use and include options that allow the user their responses securely. The input will be provided to our machine learning model which will predict and show the result on the application dashboard. This questionnaire will include the question which can triggers the emotional responses and reflected in the form of the answer choices which the user will choose. The results may help to address the issues and cure the mental wellbeing of a person. A wellwisher of a person can also predict the mood by providing the information on the behalf of the patient and take appropriate measure for the caring.