Mobile app chatbot for depressed students / Azhim Arief Ahya

The COVID–19 epidemic has had a significant impact on many people's mental health in recent years, particularly students. During the pandemic, many students with mental disorders struggled to find solutions to cope with their depression. The project's goal is to create a simple and easy-to...

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Bibliographic Details
Main Author:	Ahya, Azhim Arief
Format:	Thesis
Language:	English
Published:	2022
Subjects:	Electronic Computers Computer Science Neural networks (Computer science) Interactive computer systems
Online Access:	https://ir.uitm.edu.my/id/eprint/59449/1/59449.pdf
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id	my-uitm-ir.59449
record_format	uketd_dc
spelling	my-uitm-ir.594492022-07-27T08:02:49Z Mobile app chatbot for depressed students / Azhim Arief Ahya 2022-01 Ahya, Azhim Arief Electronic Computers. Computer Science Neural networks (Computer science) Interactive computer systems Web-based user interfaces. User interfaces (Computer systems) The COVID–19 epidemic has had a significant impact on many people's mental health in recent years, particularly students. During the pandemic, many students with mental disorders struggled to find solutions to cope with their depression. The project's goal is to create a simple and easy-to-use application for mentally depressed people. The mobile app features for this project are created using an artificial intelligence chatbot. Chatbots are computer programmes that communicate with people via text or voice and answer with pre-programmed responses or artificial intelligence. Future works and development include the addition of a voice chatbot function that can capture, understand, and interpret the speaker's vocal input in order to react in equivalent natural language, as well as the addition of new app features such as a depression level test and some anxiety-relieving gaming exercises. 2022-01 Thesis https://ir.uitm.edu.my/id/eprint/59449/ https://ir.uitm.edu.my/id/eprint/59449/1/59449.pdf text en public degree Universiti Teknologi MARA, Perak Faculty of Computer and Mathematical Sciences Md Jelas, Imran
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Md Jelas, Imran
topic	Electronic Computers Computer Science Neural networks (Computer science) Interactive computer systems Electronic Computers Computer Science
spellingShingle	Electronic Computers Computer Science Neural networks (Computer science) Interactive computer systems Electronic Computers Computer Science Ahya, Azhim Arief Mobile app chatbot for depressed students / Azhim Arief Ahya
description	The COVID–19 epidemic has had a significant impact on many people's mental health in recent years, particularly students. During the pandemic, many students with mental disorders struggled to find solutions to cope with their depression. The project's goal is to create a simple and easy-to-use application for mentally depressed people. The mobile app features for this project are created using an artificial intelligence chatbot. Chatbots are computer programmes that communicate with people via text or voice and answer with pre-programmed responses or artificial intelligence. Future works and development include the addition of a voice chatbot function that can capture, understand, and interpret the speaker's vocal input in order to react in equivalent natural language, as well as the addition of new app features such as a depression level test and some anxiety-relieving gaming exercises.
format	Thesis
qualification_level	Bachelor degree
author	Ahya, Azhim Arief
author_facet	Ahya, Azhim Arief
author_sort	Ahya, Azhim Arief
title	Mobile app chatbot for depressed students / Azhim Arief Ahya
title_short	Mobile app chatbot for depressed students / Azhim Arief Ahya
title_full	Mobile app chatbot for depressed students / Azhim Arief Ahya
title_fullStr	Mobile app chatbot for depressed students / Azhim Arief Ahya
title_full_unstemmed	Mobile app chatbot for depressed students / Azhim Arief Ahya
title_sort	mobile app chatbot for depressed students / azhim arief ahya
granting_institution	Universiti Teknologi MARA, Perak
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2022
url	https://ir.uitm.edu.my/id/eprint/59449/1/59449.pdf
_version_	1783735033005080576

Mobile app chatbot for depressed students / Azhim Arief Ahya

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