Title

TherapEase: Conversational Chat-bot for Mental Health Screening Using Trained Transformer.

Authors

Rana, Manish; Makesar, Mahendra S.; Solanke, D. R.; Mestry, Suresh R.; Sall, Sunny; Nadgaye, Devki

Abstract

The present research explores the pre-trained transformer's capability to provide conversational chatbot, using a niche approach of fine tuning the transformer on a custom dataset. Rags, Sentence Transformers, LLMs are all part of this suggested technique's implementation. This experiment examines the versatility of a pre-trained transformer and its ability to not only provide semantic context to highly sensitive conversation topics but also use its pre-training knowledge base to provide appropriate recommendations. The results are more promising to increase the nuances of a conversation chatbot. We give an original perspective on increasing the accuracy and effectiveness of an advanced chatbot that exceeds existing methodologies, revealing insight on the expanding landscape of artificial conversational chatbots using this complete methodology.

Subjects

LANGUAGE models; CHATBOTS; MENTAL health screening; KNOWLEDGE base; MENTAL health

Publication

African Journal of Biomedical Research, 2024, Vol 27, Issue 3, p908

ISSN

1119-5096

Publication type

Academic Journal

DOI

10.53555/AJBR.v27i3.2082