Reducing waste generated by international students- mobility-improving user experience with object detectionn
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/158124 |
Resumo: | International student mobility is on the rise. Even though international exchange programs foster intercultural development, some contend that the environmental impact must be considered more. This work project focuses on one piece of the complex puzzle: overconsumption. In line with SDG 12, we propose an application called Repurpose, aimed at effectively repurposing everyday items new international students buy but would otherwise throw away at the end of their curriculum. The application is tailored to the global Gen Z audience, leveraging AI for convenient experiences and considering the time gap when international students leave and arrive. Due to its scalable SaaS nature and considerate business model, the app has the chance to grow into a critical application for international students worldwide. This report contains both common part prepared by the project team together and an individual part that was about object detection and how it can be implemented in a low code environment to improve the user experience. |
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Reducing waste generated by international students- mobility-improving user experience with object detectionnInnovationLow-codeMobile application developmentObject detectionYolo v4 modelArtificial intelligenceMachine learningDomínio/Área Científica::Ciências Sociais::Economia e GestãoInternational student mobility is on the rise. Even though international exchange programs foster intercultural development, some contend that the environmental impact must be considered more. This work project focuses on one piece of the complex puzzle: overconsumption. In line with SDG 12, we propose an application called Repurpose, aimed at effectively repurposing everyday items new international students buy but would otherwise throw away at the end of their curriculum. The application is tailored to the global Gen Z audience, leveraging AI for convenient experiences and considering the time gap when international students leave and arrive. Due to its scalable SaaS nature and considerate business model, the app has the chance to grow into a critical application for international students worldwide. This report contains both common part prepared by the project team together and an individual part that was about object detection and how it can be implemented in a low code environment to improve the user experience.Aguiar, Hugo MeninoRUNChakchouk, Lotfi2023-09-22T14:51:37Z2023-01-182023-01-182023-01-18T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/158124TID:203314093enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:40:24Zoai:run.unl.pt:10362/158124Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:57:00.046064Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Reducing waste generated by international students- mobility-improving user experience with object detectionn |
title |
Reducing waste generated by international students- mobility-improving user experience with object detectionn |
spellingShingle |
Reducing waste generated by international students- mobility-improving user experience with object detectionn Chakchouk, Lotfi Innovation Low-code Mobile application development Object detection Yolo v4 model Artificial intelligence Machine learning Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
title_short |
Reducing waste generated by international students- mobility-improving user experience with object detectionn |
title_full |
Reducing waste generated by international students- mobility-improving user experience with object detectionn |
title_fullStr |
Reducing waste generated by international students- mobility-improving user experience with object detectionn |
title_full_unstemmed |
Reducing waste generated by international students- mobility-improving user experience with object detectionn |
title_sort |
Reducing waste generated by international students- mobility-improving user experience with object detectionn |
author |
Chakchouk, Lotfi |
author_facet |
Chakchouk, Lotfi |
author_role |
author |
dc.contributor.none.fl_str_mv |
Aguiar, Hugo Menino RUN |
dc.contributor.author.fl_str_mv |
Chakchouk, Lotfi |
dc.subject.por.fl_str_mv |
Innovation Low-code Mobile application development Object detection Yolo v4 model Artificial intelligence Machine learning Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
topic |
Innovation Low-code Mobile application development Object detection Yolo v4 model Artificial intelligence Machine learning Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
description |
International student mobility is on the rise. Even though international exchange programs foster intercultural development, some contend that the environmental impact must be considered more. This work project focuses on one piece of the complex puzzle: overconsumption. In line with SDG 12, we propose an application called Repurpose, aimed at effectively repurposing everyday items new international students buy but would otherwise throw away at the end of their curriculum. The application is tailored to the global Gen Z audience, leveraging AI for convenient experiences and considering the time gap when international students leave and arrive. Due to its scalable SaaS nature and considerate business model, the app has the chance to grow into a critical application for international students worldwide. This report contains both common part prepared by the project team together and an individual part that was about object detection and how it can be implemented in a low code environment to improve the user experience. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-09-22T14:51:37Z 2023-01-18 2023-01-18 2023-01-18T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/158124 TID:203314093 |
url |
http://hdl.handle.net/10362/158124 |
identifier_str_mv |
TID:203314093 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799138153715466240 |