Zenspace: A Machine Learning Model for Mental Health Tracker Application
Keywords:
Age, Anxiety, Depression, Gender, Mental Health, Mobile Application, PredictionAbstract
Mental health is a critical concern in today's environment. The ability to adjust with maximum efficacy, happiness, satisfaction, socially responsible behavior, and the ability to face and accept reality are all regarded signs of mental health. Our paper aim to design a system architecture which is based on “Mental Health Tracker”. This identifies the mental health of the user by asking few questions. Using this model, a person can use this model to overcome their mental illness and lead a happier life With the help of some chores or activities they can engage in to achieve their objectives or by recommending therapy.
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