GobbleUp

dc.contributor.authorKnutsen, Kirken
dc.contributor.authorHassler, Danielen
dc.contributor.authorSabanov, Danielen
dc.date.accessioned2024-05-04T19:07:28Zen
dc.date.available2024-05-04T19:07:28Zen
dc.date.issued2024-05-03en
dc.descriptionGobbleUp is a full-stack web application that aims to allow Virginia Tech (VT) students to view on-campus dining offerings, track and plan their meals for the day, and leverage AI-enhanced technology to suggest location and mealtime-specific meal plans. Additionally, our nutritional report offers a comprehensive summary of the user's dining activity in a readable manner, addressing one of our goals of assisting newly independent diners with better accountability and transparency. The application utilizes a simple UI with subtle VT theming and is accessible regardless of device or operating system. Repository: https://code.vt.edu/vtfitnessplanneren
dc.description.abstractGobbleUp is a full-stack web application that aims to allow Virginia Tech (VT) students to view on-campus dining offerings, track and plan their meals for the day, and leverage AI-enhanced technology to suggest location and mealtime-specific meal plans. Additionally, our nutritional report offers a comprehensive summary of the user's dining activity in a readable manner, addressing one of our goals of assisting newly independent diners with better accountability and transparency. The application utilizes a simple UI with subtle VT theming and is accessible regardless of device or operating system.en
dc.identifier.urihttps://hdl.handle.net/10919/118754en
dc.language.isoen_USen
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectComputer Scienceen
dc.subjectCapstoneen
dc.subjectNutritionen
dc.subjectVT Diningen
dc.subjectWeb Applicationen
dc.subjectMachine Learningen
dc.titleGobbleUpen
dc.typeSoftwareen

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GobbleUp Final Report.pdf
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Gobble Up Final Presentation.mp4
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