Fine-Tuned Mistral Model for Multi-Agent Mental Health Counseling System

In today’s digital world, mental health issues such as stress, depression, and anxiety are often expressed through social media. We propose a multi-agent system utilizing the fine-tuned Mistral-7B model to detect and provide personalized counseling for mental health concerns. This paper discusses the development and deployment of a multi-agent system consisting of diagnostic and counseling agents. By fine-tuning Mistral with the Interpretable Mental Health Instruction (IMHI) dataset, the system offers personalized mental health support, improving scalability and accessibility to mental health services.