Virtual Therapy Using Large Language Models and Retrieval Augmented Generation

Abstract

Mental health issues such as anxiety, depression, and panic attacks are increasing among individuals particularly in age group 20-35. Due to social stigma and costly therapy with long waiting queues, many avoid seeking help, which results in worsening conditions over time. To address this challenge, we propose an expert system leveraging Retrieval-Augmented Generation (RAG) and transformer-based fine-tuned large language models to create a virtual counselling chatbot. This system is designed to be easily accessible, empathetic and provide context-aware responses similarly like a professional therapist.

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