Paper Contents
Abstract
As mental health issues become more common, artificial intelligence (AI) has the potential to change how we provide mental health care. This project looks at how AI-driven systems, like therapy assistants and stress detection tools, can offer personalized help for those dealing with stress and anxiety. By using different AI methods, such as machine learning and natural language processing, we examine various types of data, including physiological signals and voice inputs. While these technologies offer great benefits, there are challenges like data privacy and bias that need to be addressed. Our findings highlight the importance of ongoing research to improve AI systems, ensuring they provide fair and effective mental health support for everyone, and moving from just treating problems to offering proactive, personalized care.
Copyright
Copyright © 2024 Mishkat Shaikh. This is an open access article distributed under the Creative Commons Attribution License.
