Early detection system for psychological wellbeing among students in NTU EEE

In NTU, there are many great resources that can support students in their mental health throughout their season in university. However, oftentimes these resources are either scattered across various NTU platforms or cluttered through the single email channel. In addition, there is a huge barrier bet...

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Main Author: Wong, Erwin Yong-Zhi
Other Authors: Ji-Jon Sit
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2020
Subjects:
Online Access:https://hdl.handle.net/10356/140488
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1404882023-07-07T18:46:13Z Early detection system for psychological wellbeing among students in NTU EEE Wong, Erwin Yong-Zhi Ji-Jon Sit School of Electrical and Electronic Engineering jijon@ntu.edu.sg Engineering::Electrical and electronic engineering In NTU, there are many great resources that can support students in their mental health throughout their season in university. However, oftentimes these resources are either scattered across various NTU platforms or cluttered through the single email channel. In addition, there is a huge barrier between students and counselling services within campus.This project aims to link students up with resources that will benefit them according to their needs. The execution will be through a hybrid chatbot where students first face a natural language chatbot, and can connect directly to a counsellor if required. This project is self-pitched to my FYP supervisor and the possibilities and requirements of the system evolved over the months. The current system is live on www.KarenBot.co. A Final Year Project demonstration video can be found on https://youtu.be/VY87nSiT3Bo(Closed Captions available). Bachelor of Engineering (Electrical and Electronic Engineering) 2020-05-29T08:14:38Z 2020-05-29T08:14:38Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/140488 en A2074-191 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
spellingShingle Engineering::Electrical and electronic engineering
Wong, Erwin Yong-Zhi
Early detection system for psychological wellbeing among students in NTU EEE
description In NTU, there are many great resources that can support students in their mental health throughout their season in university. However, oftentimes these resources are either scattered across various NTU platforms or cluttered through the single email channel. In addition, there is a huge barrier between students and counselling services within campus.This project aims to link students up with resources that will benefit them according to their needs. The execution will be through a hybrid chatbot where students first face a natural language chatbot, and can connect directly to a counsellor if required. This project is self-pitched to my FYP supervisor and the possibilities and requirements of the system evolved over the months. The current system is live on www.KarenBot.co. A Final Year Project demonstration video can be found on https://youtu.be/VY87nSiT3Bo(Closed Captions available).
author2 Ji-Jon Sit
author_facet Ji-Jon Sit
Wong, Erwin Yong-Zhi
format Final Year Project
author Wong, Erwin Yong-Zhi
author_sort Wong, Erwin Yong-Zhi
title Early detection system for psychological wellbeing among students in NTU EEE
title_short Early detection system for psychological wellbeing among students in NTU EEE
title_full Early detection system for psychological wellbeing among students in NTU EEE
title_fullStr Early detection system for psychological wellbeing among students in NTU EEE
title_full_unstemmed Early detection system for psychological wellbeing among students in NTU EEE
title_sort early detection system for psychological wellbeing among students in ntu eee
publisher Nanyang Technological University
publishDate 2020
url https://hdl.handle.net/10356/140488
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