AI-Based Mental Health Detection and Therapy Recommendation System

Mental health is an essential aspect of human well- being, yet millions remain undiagnosed or untreated due to stigma and lack of access to care. This research presents an AI-Based Mental Health Detection and Therapy Recommendation System designed to identify early signs of stress, anxiety, and depression using natural language processing (NLP), voice tone analysis, and user responses to validated questionnaires. The system recommends tailored therapeutic interventions such as mindfulness techniques, journaling, and referrals to professionals. This scalable, explainable, and user- friendly solution aims to democratize access to mental health support.