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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Nanyang Technological University
2020
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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 |
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Engineering::Electrical and electronic engineering Wong, Erwin Yong-Zhi Early detection system for psychological wellbeing among students in NTU EEE |
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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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