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Depression, Stress and Anxiety Prediction

Vaishali Jadhav, Apurva Mahendra Patil, Ashish Mahendra Yadav, Varsha Gurunath Jyoti

Abstract


In the fast-moving up-to-date realm, intellectual well-being issues like anxiety, depression and stress have enhanced very coarse between common people. The system has entrenched information to label the sentences and make a decision itself as reaction to answer a question. The table contains chatterbot or chatbot information. It exists of four buttons as offset Time, Date, Questionnaires and Image Processing. Image preparing is used to monitor the exciting rank of one working ahead, calculating is critical for the security of one. In this work, actual-occasion non-obtrusive videos are apprehended, that detect the poignant rank of one by analysing the first verbalization. We discover an individual’s excitement in each television frame and the conclusion on the verbalization of the character is created. We engage a method that admits us to train a model and resolve differences in anticipating the lineaments. Machine intelligence algorithms were used to generate predictions of worry, facial, and stress. In order to administer algorithms, answers were calm from things across various breeding and societies through the Depression, Anxiety and Stress Scale questionnaire.


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References


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DOI: https://doi.org/10.37628/ijosct.v8i1.791

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