fze: AI personal assistant helps users find a more compatible partner

The concept of fze, an Artificial Intelligence (AI) based personal assistant designed to improve the social dating life of its users. Primarily, it merges multiple AI-based technologies, such as machine learning, and nanotechnology with the study of microbiome to track users' physiological resp...

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Main Author: Li, TongTong
Other Authors: Peter Chen Chia Mien
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/158699
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-158699
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spelling sg-ntu-dr.10356-1586992023-03-11T19:58:14Z fze: AI personal assistant helps users find a more compatible partner Li, TongTong Peter Chen Chia Mien School of Art, Design and Media PeterChen@ntu.edu.sg Visual arts and music::Arts in general The concept of fze, an Artificial Intelligence (AI) based personal assistant designed to improve the social dating life of its users. Primarily, it merges multiple AI-based technologies, such as machine learning, and nanotechnology with the study of microbiome to track users' physiological responses and translate them into datasets to improve their matching algorithms. The main idea is to grant fze full access to every aspect of users' lives through tiny sensors installed in their bodies and tracking their physiological responses when they come in their proximity. Consequently, based on the data acquired from sensors and processed through fze algorithms, we can determine who around us makes us feel delighted or sad. Eventually, fze will alert you regarding someone who might be the best match by giving you the artificial psychological response. Bachelor of Fine Arts in Design Art 2022-06-07T04:43:36Z 2022-06-07T04:43:36Z 2022 Final Year Project (FYP) Li, T. (2022). fze: AI personal assistant helps users find a more compatible partner. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/158699 https://hdl.handle.net/10356/158699 en 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 Visual arts and music::Arts in general
spellingShingle Visual arts and music::Arts in general
Li, TongTong
fze: AI personal assistant helps users find a more compatible partner
description The concept of fze, an Artificial Intelligence (AI) based personal assistant designed to improve the social dating life of its users. Primarily, it merges multiple AI-based technologies, such as machine learning, and nanotechnology with the study of microbiome to track users' physiological responses and translate them into datasets to improve their matching algorithms. The main idea is to grant fze full access to every aspect of users' lives through tiny sensors installed in their bodies and tracking their physiological responses when they come in their proximity. Consequently, based on the data acquired from sensors and processed through fze algorithms, we can determine who around us makes us feel delighted or sad. Eventually, fze will alert you regarding someone who might be the best match by giving you the artificial psychological response.
author2 Peter Chen Chia Mien
author_facet Peter Chen Chia Mien
Li, TongTong
format Final Year Project
author Li, TongTong
author_sort Li, TongTong
title fze: AI personal assistant helps users find a more compatible partner
title_short fze: AI personal assistant helps users find a more compatible partner
title_full fze: AI personal assistant helps users find a more compatible partner
title_fullStr fze: AI personal assistant helps users find a more compatible partner
title_full_unstemmed fze: AI personal assistant helps users find a more compatible partner
title_sort fze: ai personal assistant helps users find a more compatible partner
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/158699
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