The prevalence of mental health conditions in- cluding stress, anxiety, and depression is on the rise worldwide, but stigma, ignorance, and a lack of mental health experts con- tinue to hinder early detection and ongoing emotional support. The Smart Mental Health Assistant, an AI-powered support sys- tem intended to assess user symptoms, forecast potential mental health issues, and offer tailored self-care advice, is the idea behind this project. The system incorporates a chatbot interface for user interaction and advice, Random Forest Classifier for mental health prediction, and Natural Language Processing (NLP) for symptom extraction. In order to effectively diagnose mental health disorders, the system transforms retrieved symptoms into binary vectors using datasets that include symptoms, severity lev- els, and preventative measures. This paper examines the body of research on AI in mental health, pinpoints important variables affecting technology uptake, and emphasizes the significance of scalable and easily accessible mental health resources. The re- sults show that early diagnosis, emotional monitoring, and pre- ventive treatments could all be enhanced by AI-based screening systems. By facilitating ongoing assistance, lowering stigma, and enhancing psychological well-being, the suggested assistant bene- fits the mental health ecosystem.
Sayyad et al. (Thu,) studied this question.