MEAL MASTER: AN INNOVATIVE AI SOLUTION FOR RECIPE GENERATION

David Petkov ()
Additional contact information
David Petkov: University of Economics - Varna / Department of Informatics, Varna, Bulgaria

Conferences of the department Informatics, 2024, issue 1, 262-269

Abstract: This paper aims to introduce Meal Master, a web platform driven by artificial intelligence, designed specifically to help with ideas on reducing household food waste and present quick and easy solutions for preparing meals, thereby reducing the time people usually spend preparing food. Artificial intelligence, algorithms, web-based systems, and modern web technologies have been implemented in this system. It provides professional and fast recipe suggestions based on photos or inputs provided by the user, considering any preferences and allergies in diets they have set in advance. By promoting healthy food consumption and minimising waste, Meal Master makes meal preparation faster, easier and more enjoyable.

Keywords: Artificial; Intelligence; Application; Cooking; Recipe (search for similar items in EconPapers)
JEL-codes: C8 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://informatics.ue-varna.bg/ICTBE2024/ICTBE2024_262-269.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:vrn:katinf:y:2024:i:1:p:262-269

Access Statistics for this article

Conferences of the department Informatics is currently edited by Vladimir Sulov

More articles in Conferences of the department Informatics from Publishing house Science and Economics Varna Contact information at EDIRC.
Bibliographic data for series maintained by Vladimir Sulov ().