Enhancing Mental Health With PHILOI: A Comprehensive Analysis of Mood Music and Chatbot Module

Kavita Kumavat; D. Gatagat; K. Wakode; S. Gundawar; V. Jain

doi:10.4108/eetmca.5146

Authors

Kavita Kumavat Vishwakarma University
D. Gatagat Vishwakarma University
K. Wakode Vishwakarma University
S. Gundawar Vishwakarma University
V. Jain Vishwakarma University

DOI:

https://doi.org/10.4108/eetmca.5146

Keywords:

Mood Music, Chatbot, Face detection, Android Application, Artificial Intelligence

Abstract

The project aim was to develop an app that would enable the recording and monitoring of behaviour related to specific aspects of wellness, as well as support those aspects of wellness that are entertainment-related. Our main goal was to envision and develop an app with the well-being of users in mind. People’s moods can be improved upon or changed by music, with music and mental health tightly intertwined. Music is frequently used to complement or change an individual’s mood. While there are advantages to mood-appropriate music, it may cause us to remain in a depressed, angry, or nervous state. A survey was conducted to examine these aspects. After performing a lot of research and interviews in this area, we found 68% of those surveyed listen to music according to their mood or to change their mood. This inspired us to build an application that not only plays music but also recommends songs to users, eliminating the daily nuisance of selecting the right music, which can waste valuable time. As mental balance is an essential component of healthy existence in today's hectic world, to enhance the practicality of our app, as icing on the cake, we included an AI chatbot that not only converses with the user but also provides them with suitable advice on their concerns.

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