International Journal Of Imaging

Abstract

AI-POWERED MENTAL HEALTH ASSESSMENT

Author: Kotagiri Aishwarya, Peguda Charan Kumar , Pallam Sreekarna , J.Padma

Abstract:

An Artificial Intelligence (AI)-based mental health assessment system has the potential to take input from users and classify their mental health status into two categories, such as "0" or "1," based on a pre- trained dataset. AI holds promise for revolutionizing mental health assessment by improving diagnostic accuracy, efficiency, treatment outcomes, and accessibility. Machine learning algorithms can identify patterns and predict mental health conditions by analyzing various factors. Additionally, AI can be used to assess speech and language patterns; Natural Language Processing (NLP) algorithms can analyze written or spoken language to detect indicators of mental health conditions like depression, anxiety, and schizophrenia. The system aims to notify medical professionals if a client exhibits signs of high- risk mental illness, enabling proactive intervention. Furthermore, it can suggest interventions to alleviate a client’s symptoms without immediately revealing the r