In recent years, there has been a sharp rise in the demand for mental health services, with an increasing number of individuals seeking assistance for psychological and emotional challenges. This escalating need for mental health support has placed a significant strain on healthcare professionals, necessitating innovative solutions to manage the growing workload effectively. This research introduces a pioneering approach that leverages Large Language Models (LLMs) to automate psychological triage, offering a potential solution to reduce the burden on mental health professionals. The primary objective of this study is to streamline the psychological assessment process while ensuring patient anonymity and data privacy.