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Meal Master: An Innovative Ai Solution For Recipe Generation

Author

Listed:
  • David Petkov

    (University of Economics - Varna / Department of Informatics, Varna, Bulgaria)

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.

Suggested Citation

  • David Petkov, 2024. "Meal Master: An Innovative Ai Solution For Recipe Generation," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 262-269.
    • Handle: RePEc:vrn:katinf:y:2024:i:1:p:262-269
    as

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    File URL: https://informatics.ue-varna.bg/ICTBE2024/ICTBE2024_262-269.pdf
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    References listed on IDEAS

    as
    1. Bauer, Jan M. & Nielsen, Kristian S. & Hofmann, Wilhelm & Reisch, Lucia A., 2022. "Healthy eating in the wild: An experience-sampling study of how food environments and situational factors shape out-of-home dietary success," Social Science & Medicine, Elsevier, vol. 299(C).
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Artificial; Intelligence; Application; Cooking; Recipe;
    All these keywords.

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

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