AI-Chatbot for HIV: Enhancing Awareness and Reducing Stigma Through Personalized Engagement in Uganda

Authors

  • Mukama Alex Department of Business and Enterpreneuship, Faculty of Management and Social Sciences,Kwara State University, Malete Author

Abstract

Despite advancements in HIV prevention and treatment, many Ugandans still face misinformation, stigma, and limited access to reliable health information. This research explores the design, development, and evaluation of an AI-powered chatbot aimed at providing personalized HIV information, engaging users in a stigma-free environment, and improving awareness levels. The chatbot integrates natural language processing and machine learning to tailor responses based on user demographics and interaction patterns. A mixed-methods evaluation will measure its effectiveness in improving knowledge, reducing stigma, and enhancing user engagement. The study further analyzes sustainability factors such as community involvement, partnerships, cultural relevance, and technological maintenance. The project aims to develop a scalable digital health solution capable of improving HIV awareness and fostering positive attitudes toward individuals living with HIV in Uganda.

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Published

07/06/2025

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Section

Articles

How to Cite

AI-Chatbot for HIV: Enhancing Awareness and Reducing Stigma Through Personalized Engagement in Uganda. (2025). International Journal of Technology and Management, 10(1), 1 – 8. https://ijotm.utamu.ac.ug/index.php/ijotm/article/view/89