Author

Jeffrey Huang

Date of Award

Spring 2021

Document Type

Thesis

Publisher

Santa Clara : Santa Clara University, 2021.

Department

Computer Science and Engineering

First Advisor

Maya Ackerman

Abstract

COVID-19 and the resulting quarantine affected many people over the past year, impacting many people’s mental health. To make matters even worse, those most in need of assistance with managing their mental health are often the ones with least access to support. These populations would benefit from a way in which to express themselves and practice self-care that is accessible and enjoyable. Art therapy offers one such solution. In this paper, I used word recognition and connections to determine a person’s mood by reading their responses to An-drew’s questions. My experiment shows that this is an effective start to seeing how a person is currently feeling. By storing words and their related meanings in a JSON, using TKinter as a way to display the chat, and Python for the connection algorithm. Development and future work on An-drew are discussed.

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