Abstract : "Mind Harbor: Navigating Wellness Together - with AI integration" is a research initiative aimed to propose an application to address mental health challenges faced by university students in Oman. This study recognizes the complex elements influencing students' mental health and focuses on those who are experiencing anxiety and depression. Sometimes social situations, insecurity, shyness or awkwardness make students reluctant to talk about their mental health problems. This may lead to significant mental and physical health issues, as well as negatively impact academic performances which is a major concern for university, parents and the society. Through this suggested application's user-friendly interface, students will be able to express their concerns in a safe and non-judgmental environment. The inputs collected through the interface will then be sent to an AI-powered LLM that is intended to offer customized recommendations and solutions to assist students in overcoming obstacles. This research aims to provide a comprehensive and easily accessible support system for managing mental health challenges of students by combining the capabilities of artificial intelligence with human-computer interaction. The research aims to create a customized interface to be integrated with Large Language Model (LLM) which will provide recommendations and interventions depending on the particular requirements and circumstances of every learner. The core of the application lies in its user-friendly interface, designed to facilitate easy and confidential communication between students and the system. Students can input their concerns, which are then processed by an AI-powered Large Language Model (LLM). This research intends to improve the delivery of mental health support in learning environments by merging technology with human-centered design concepts that are sympathetic. Students can access a virtual harbor called Mind Harbor, where their voices are heard, their problems are validated, and solutions provided.