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Revolutionizing Mental Health Care through LangChain: A Journey with a Large Language Model

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arxiv 2403.05568 v1 pith:Q35HLWKV submitted 2024-02-21 cs.HC

Revolutionizing Mental Health Care through LangChain: A Journey with a Large Language Model

Aditi Singh , Abul Ehtesham , Saifuddin Mahmud , Jong-Hoon Kim This is my paper
classification cs.HC
keywords mentalhealthlangchainchatbotlanguagemindguidesupporttemplate
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Mental health challenges are on the rise in our modern society, and the imperative to address mental disorders, especially regarding anxiety, depression, and suicidal thoughts, underscores the need for effective interventions. This paper delves into the application of recent advancements in pretrained contextualized language models to introduce MindGuide, an innovative chatbot serving as a mental health assistant for individuals seeking guidance and support in these critical areas. MindGuide leverages the capabilities of LangChain and its ChatModels, specifically ChatOpenAI, as the bedrock of its reasoning engine. The system incorporates key features such as LangChain's ChatPrompt Template, HumanMessage Prompt Template, ConversationBufferMemory, and LLMChain, creating an advanced solution for early detection and comprehensive support within the field of mental health. Additionally, the paper discusses the implementation of Streamlit to enhance the user experience and interaction with the chatbot. This novel approach holds great promise for proactive mental health intervention and assistance.

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