Publication: AI Based Depression and Suicide Prevention System
Type:
Article
Date
2019-12-05
Journal Title
Journal ISSN
Volume Title
Publisher
2019 1st International Conference on Advancements in Computing (ICAC), SLIIT
Abstract
Suicide is a major issue in the world. The number
one reason for suicide is untreated depression. That is why it was
decided to focus on depression symptoms more and identify them
in order to prevent suicidal attempts. To cure depression, the
best way is to talk about their feelings with someone they trusted
and release their pain inside of them. Because of that this system
has a Chat-bot for the user to interact with. Chat-bot will gather
information about the users feelings through text and voice
analysis. Also by analyzing their Facebook statuses and recent
web history, the application gather more information about their
mental state so that the system take more accurate conclusions.
After analyzing all the information from each component the
back brain will decide on how the chat-bot should act on the
user. At the end, the product was able to give more than 75%
accurate results for each component.
Description
Date of Conference: 5-7 Dec. 2019
Date Added to IEEE Xplore: 29 May 2020
Keywords
Artificial Intelligence, Depression, Suicide, NLP, Mobile Application, Chat Bot, Voice Analysis, Sentimental Analysis