Open AccessTo Alleviate Depression by Interactive Artificial Conversation Entity
Author(s) -
Uditesh Jha,
Keyur Khant,
Milan kotadiya,
Kirti Gamdha,
Zalak Kansagra
Publication year - 2019
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit1952285
Subject(s) - chatbot , depression (economics) , conversation , transparency (behavior) , disease , internet privacy , psychology , mobile apps , computer science , medicine , world wide web , computer security , communication , economics , pathology , macroeconomics
This work is developed to alleviate depression. We provide transparency and privacy between user and chatbot by using the best approach which proves to be more reassuring, empathetic and non-judgmental. This new technology is interactive artificial conversation entity - chatbot. In this project, we are trying to relieve sufferer from depression. It is found that depression is the leading cause of disability globally. Projections indicates that after heart disease, depression is expected to become the second leading cause of disease burden by the year 2020. We will provide psychiatric treatment to users. After understanding the symptoms, causes and treatments of depression, user will be judged and treated according to defined and well-suited treatment. It will be helpful to those having depression, fear of sharing and fear of being judged. Also, it will help at those places where therapists are not easily available and to people who cannot afford therapist. A mobile application will be created for user interface.