International Journal of Science, Engineering and TechnologyAuthors: Harsh Mishra, Shivam Kumar, Ayushman Singh, Mohd Faisal, Riyanshu Saini
Abstract: Mental disorders have emerged as one of the biggest challenges in the contemporary healthcare world, particularly amongst students and working professionals. Traditional mental health care programs usually suffer from several problems including unavailability of services, shortage of mental healthcare professionals, lack of timely assistance, and social stigma of visiting psychological clinics [1]. This study proposes an AI-based mental health risk detection and support system termed 'Doctorina' that has been designed and developed using the MERN stack framework and AI technologies in order to offer immediate mental health support and counseling assistance. The proposed system consists of a role-based system incorporating students, counselors, and administrators. The proposed platform provides AI-powered conversational support using Groq API and the Llama 3.3 70B models to offer real-time guidance for achieving mental well-being and emotional assistance. The platform also provides facilities for appointment booking, counselor management, authentication, and data management using JSON Web Tokens (JWT). The aim of this research is to design and develop a scalable and accessible mental health care platform which can help patients to deal with their emotional problems at early stages. In this paper, we mainly describe the system architecture, artificial intelligence integration, workflow, and implementation strategies for the development of the platform.
