To mention but a few, stress, depression, and anxiety are all some of the mental health issues that are currently regarded as a critical health concern in the world. The higher the number of people who live online, do their school assignments, battle stress at the workplace and social ills, the greater the chances of developing mental health issues that might not be detected until later. The use of Artificial Intelligence (AI) and Natural Language Processing (NLP) offer useful approaches to the automatization of the recognition of mental health disorders based on the reactions, behaviours, and linguistic styles of a person. In a short presentation, this paper will present an artificial intelligence-based Suggestive Automated Mental Health Identification System that has been developed in Java making it easy to detect mental health early and provide a recommendation to enhance it. This system is based on surveys that are easy to use, text analysis, and rule-based categorisation in determining whether one is feeling anxious, depressed, or stressed. The recommendations include relaxation methods and assistance of a specialist. The pilot studies indicated that the strategy was effective in assisting individuals to remain anonymous, give the right feedback on time and constantly, and address the gaps in the current care. This contributed to avoiding the further deterioration of mental health of people.
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