Chatbot companion

The prevalence of loneliness among the elderly population is a significant concern, with adverse effects on mental and physical health. In Singapore, over 30% of the elderly reportedly face severe loneliness issues, a problem exacerbated by the aging population. While the government has introduced v...

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Main Author: Goh, Teng Wei
Other Authors: Shen Zhiqi
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/175348
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1753482024-04-26T15:44:21Z Chatbot companion Goh, Teng Wei Shen Zhiqi School of Computer Science and Engineering ZQShen@ntu.edu.sg Computer and Information Science Engineering Chatbot The prevalence of loneliness among the elderly population is a significant concern, with adverse effects on mental and physical health. In Singapore, over 30% of the elderly reportedly face severe loneliness issues, a problem exacerbated by the aging population. While the government has introduced various initiatives over the years, the issue persists. However, advancements in technologies such as Large-Language Models and Speech-to-Text present new opportunities. By leveraging these technologies, we can develop a proactive and audio-driven chatbot companion to engage in meaningful conversations with the elderly. This project explores the development of such a companion, utilising technologies like Single Sign-On options such as Singpass, AI Singapore The Speech Lab's trilingual Speech-to-Text engine, Yi-34B-Chat Large-Language Model, and Microsoft Azure's human-like avatar for lip-syncing of real-time output transcription. Additionally, features such as real-time data handling for stock prices, weather updates, past lottery results, and news, automatic lottery results broadcast, along with an in-built events calendar, wake word and sleep word functionality, and the ability to initiate conversations at customisable timings, were incorporated to create a comprehensive and user-friendly application. Bachelor's degree 2024-04-23T11:01:28Z 2024-04-23T11:01:28Z 2024 Final Year Project (FYP) Goh, T. W. (2024). Chatbot companion. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175348 https://hdl.handle.net/10356/175348 en SCSE23-0439 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 Computer and Information Science
Engineering
Chatbot
spellingShingle Computer and Information Science
Engineering
Chatbot
Goh, Teng Wei
Chatbot companion
description The prevalence of loneliness among the elderly population is a significant concern, with adverse effects on mental and physical health. In Singapore, over 30% of the elderly reportedly face severe loneliness issues, a problem exacerbated by the aging population. While the government has introduced various initiatives over the years, the issue persists. However, advancements in technologies such as Large-Language Models and Speech-to-Text present new opportunities. By leveraging these technologies, we can develop a proactive and audio-driven chatbot companion to engage in meaningful conversations with the elderly. This project explores the development of such a companion, utilising technologies like Single Sign-On options such as Singpass, AI Singapore The Speech Lab's trilingual Speech-to-Text engine, Yi-34B-Chat Large-Language Model, and Microsoft Azure's human-like avatar for lip-syncing of real-time output transcription. Additionally, features such as real-time data handling for stock prices, weather updates, past lottery results, and news, automatic lottery results broadcast, along with an in-built events calendar, wake word and sleep word functionality, and the ability to initiate conversations at customisable timings, were incorporated to create a comprehensive and user-friendly application.
author2 Shen Zhiqi
author_facet Shen Zhiqi
Goh, Teng Wei
format Final Year Project
author Goh, Teng Wei
author_sort Goh, Teng Wei
title Chatbot companion
title_short Chatbot companion
title_full Chatbot companion
title_fullStr Chatbot companion
title_full_unstemmed Chatbot companion
title_sort chatbot companion
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/175348
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