SekNC: AN ANDROID MOBILE APPLICATION CHATBOT FOR DEMENTIA CAREGIVER

Chen, Hui Tong (2023) SekNC: AN ANDROID MOBILE APPLICATION CHATBOT FOR DEMENTIA CAREGIVER. [Final Year Project Report] (Unpublished)

[img] PDF
Chen Hui Tong 24pgs.pdf

Download (377kB)
[img] PDF (Please get the password by email to repository@unimas.my , or call ext: 082-583914/3973/3933)
Chen Hui Tong ft.pdf
Restricted to Registered users only

Download (4MB)

Abstract

SekNC: An Android Mobile Application Chatbot For Dementia Caregiver is a chatbot developed to relief tension and helplessness of caregivers while taking care of a patient with dementia or Alzheimer disease. Caregivers might lack knowledge in medical and taking care process, thus this chatbot is proposed to overcome these problems. Chatbot to relieve burden of caregiver is a journey to work for and experts had concluded that existing related applications has not been enough for caregivers and patient. The reason for developing this chatbot application is to help overcome problems faced by caregivers when taking care of patients. The chatbot proposed is free to use. Apart from the chatting features, extra resources regarding dementia and writing diary features will also be included. Agile development methodology is applied to implement in this application development. Phases included in this methodology are requirement gathering, planning, design, implementation, testing, deployment, and review phase. The application is tested using User Acceptance Testing to evaluate its functionality. Lastly, the system is being released and feedback continuously collected from users to further enhance.

Item Type: Final Year Project Report
Additional Information: Project Report (BSc.) -- Universiti Malaysia Sarawak, 2023.
Uncontrolled Keywords: An Android Mobile Application, chatbot proposed, methodology
Subjects: Q Science > QA Mathematics
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Faculties, Institutes, Centres > Faculty of Computer Science and Information Technology
Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Dan
Date Deposited: 22 Jan 2024 01:09
Last Modified: 27 Nov 2024 07:20
URI: http://ir.unimas.my/id/eprint/44247

Actions (For repository members only: login required)

View Item View Item