First Advisor
Bruce Irvin
Date of Award
Spring 6-16-2024
Document Type
Thesis
Degree Name
Bachelor of Science (B.S.) in Computer Science and University Honors
Department
Computer Science
Language
English
Subjects
Capstone, Artificial Intelligence (AI), Diversity, Equity, and Inclusion (DEI), Software as a Service (SaaS), Agile Methodology
DOI
10.15760/honors.1562
Abstract
This thesis reviews the development of the Henna Chatbot, an AI-powered DEI consultant designed to provide personalized feedback to organizations. Sponsored by DEI consultant Arsh Haque, the project aims to address gaps in current DEI software, which often lacks team-specific feedback. The Henna Chatbot leverages GPT-3.5 Turbo to create an affordable SaaS platform where organizations can train Henna with their DEI values, and Henna will help organizations stay aligned with those values. The project spanned twenty weeks and was completed by a team of eight computer science students at Portland State University. The development process followed Agile methodologies, emphasizing effective communication, collaboration, and the integration of feedback. The initial pilot program of users shows that Henna is good at high-level tasks of feedback but can still grow in its technical skills that could highly benefit teams.
Rights
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Persistent Identifier
https://archives.pdx.edu/ds/psu/42163
Recommended Citation
Norcross, Kobe, "Henna Chatbot Capstone Review" (2024). University Honors Theses. Paper 1530.
https://doi.org/10.15760/honors.1562