Psychlysis: Towards the Creation of a Questionnaire-based Machine Learning Tool to Analyze States of Mind

TL;DR

Psychlysis is a questionnaire-based machine learning tool designed to analyze users' current mental states and provide personalized mood improvement suggestions, leveraging personality traits to enhance emotional well-being.

Contribution

This work introduces a novel application combining questionnaires and machine learning to analyze mental states and offer tailored mood enhancement recommendations.

Findings

Preliminary results show effective mood prediction.

The model can suggest personalized well-being strategies.

Potential societal benefits for mental health support.

Abstract

This paper describes the development of Psychlysis, a work-in-progress questionnaire-based machine learning application analyzing the user's current state of mind and suggesting ways to improve their mood using Machine Learning. The application utilizes the OCEAN model to understand the user's personality traits and make customized suggestions to enhance their well-being. The proposed application focus on improving the user's mood rather than just detecting their emotions. Preliminary results of the model are presented, showing the potential of the application in predicting the user's mood and providing personalized recommendations. The paper concludes by highlighting the potential benefits of such an application for various societal segments, including doctors, individuals, and mental health organizations, in improving emotional well-being and reducing the negative impact of mental health issues on daily life.