Home Journals IJTER Archives Vol. 1, No. 8 Mental health chatbot with mood visualization

International Journal of Technology and Emerging Research

e-ISSN: 3068-109X p-ISSN: 3068-1995 DOI: 10.64823/ijter Current Volume: 2 — Issue 7 (July 2026) (2026)
Open Access monthly Peer Reviewed DOI via Crossref CC BY 4.0 Indexed in 8 Submit Manuscript
Article Info
Open Access Research Article
6 pages PDF

Mental health chatbot with mood visualization

by , ,

International Journal of Technology and Emerging Research 2025 , 1 (8) , 55–60

10.64823/ijter.2508006
Received: 17 Dec 2025 Published: 20 Dec 2025
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Abstract

Stress, anxiety, depression, and emotional imbalance are measurable trends among the student population and young adults. Even though the understanding of these issues has been raised, still a great number of people reluctant to ask for professional help because of the social stigma, limited accessibility, lack of time, and financial barriers. This paper introduces the design and implementation of a Mental Health Support Chatbot, which offers the initial emotional support through a text-based conversation. The envisaged framework implements a rule-based mood detection method, wherein the user statements are examined with the help of the predetermined keywords and patterns. The chatbot, based on the recognized emotional state, thus, composes the empathetic and encouraging utterances which are generally based on the supportive counseling principles

Keywords: artificial intelligence, Mental health chatbot, rule-based system, emotion detection

© 2025 The Author(s). Published by IORO Publications. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, distribution, and reproduction in any medium, provided the original author and source are credited, a link to the license is provided, and any changes are indicated.

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