In recent years, mental healthcare has emerged as a critical global concern,
with escalating rates of stress, anxiety, and depression affecting individuals across
diverse demographics. However, conventional approaches to treatment and support
often face significant barriers, including stigma, limited accessibility, and resource
constraints. In order to tackle these obstacles, we suggest creating a transformative
mental health voice generative assistant, harnessing the power of state-of-the-art
Transformer models and cutting-edge Artificial Intelligence (AI) technologies. The
envisioned solution seeks to revolutionize mental healthcare by offering a readily
accessible, personalised, and empathetic support system to individuals in need. This
assistant attempts to offer real-time guidance, coping mechanisms, and companionship
that are specific to the needs and emotions of each user by combining sophisticated AI
algorithms, Natural Language Processing (NLP), and emotional intelligence skills. By
leveraging deep learning techniques, the assistant will continuously adapt and evolve
its responses based on user interactions, fostering a sense of connection and
understanding.
Keywords: Artificial intelligence, Chatbot, Mental health, Natural language processing, Transformer.
