PSYCHOLOGICAL DISORDER DETECTION USING NLP AND VOICE COMMAND

Authors

  • Miss.Amruta G.Daundkar Department of Computer science and Engineering , SP’s Institute of Knowledge College of Engineering
  • Miss.Sayali S.Fadale Department of Computer science and Engineering , SP’s Institute of Knowledge College of Engineering
  • Miss.Surekha B. Misal Department of Computer science and Engineering , SP’s Institute of Knowledge College of Engineering
  • Prof. Ajay K.Gupta Department of Computer science and Engineering , SP’s Institute of Knowledge College of Engineering

Keywords:

Beck Depression Inventory (BDI), Natural Language Processing(NLP), Depression, Machine Learning

Abstract

Mental disorder leads to difficulties in occupational, educational, social and marital relations. This study
objective to assess the prevalence and nature of mental disorders by attending the physicians. Failure to detect mental
disorder denies patients effective treatment. So the most important objective of our projects is to analyses the symptoms of
individuals and applies each permutation to the situation to detect the disordered people. In our project, the input will be
given in the form of speech. The speech will be converted to text using Google API. Then by applying NLP to text,
sentiment analysis will do using BDI questions from the person will be asked. The result generated will be stored. From
that response whether the person is normal or in depressed state is find out. If the result generated are negative that is the
person is found in depresses state, then we will suggest that person some measures to come out that state. The measure
suggested can be like visiting a physician, doing exercise or doing things of interest.

Published

2018-05-25

How to Cite

PSYCHOLOGICAL DISORDER DETECTION USING NLP AND VOICE COMMAND. (2018). International Journal of Advance Engineering and Research Development (IJAERD), 5(5), 515-518. https://www.ijaerd.org/index.php/IJAERD/article/view/3465

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