Psychotherapist Chatbot – a Literature Review

EasyChair Preprint 7326

Abstract

The objective of this review is to study different ways to implement a chatbot system which renders around the concept of mental health. The key focus is on detection and recovery of an individual from depression, stress and anxiety. With the increased cases of suicide from depression during the start of pandemic till now, it is important to focus on mental health even more. The study is used to help people overcome depression by oneself using currently emerging technologies. This study is intended to target an audience of 300 million people worldwide. The system detects depression in an individual and also recommends them therapy session catered to their depression level. This study uses python as the base language to create a desktop application. It is designed in such a way that it mimics a psychotherapist.

Keyphrases: Mental Healthcare, Psychotherapist, Therapy Chatbot

@booklet{EasyChair:7326,
  author    = {Disha Sangani and Papiha Nandankar and Devata Anekar and Shubhankar Panda and Shoaib Syed Noor},
  title     = {Psychotherapist Chatbot – a Literature Review},
  howpublished = {EasyChair Preprint 7326},
  year      = {EasyChair, 2022}}