MEAL MASTER: An Innovative Solution For Meal Planning

  • Unique Paper ID: 169613
  • PageNo: 1781-1787
  • Abstract:
  • The MEAL MASTER will be a strongly holistic recommender system, which is to be designed, providing meals with personalized recommendations through an intuitive and user-friendly interface, where advanced algorithms in machine learning along with analysis of user preference and other users’ dietary restrictions plus their past interactions will constitute the meal suggestions specific to their taste as well as nutrition. By collecting the details of the user, such as ratings for its meals, history of search, and preference for ingredients, MEAL MASTER develops and perfects recommendation recipes for every dish, making one dynamic experience after another. In addition to personalization, sustainability is integrated into the MEAL MASTER in a way that minimizes food wastage. Meal suggestions are created based on alternative ingredients that would eventually maximize usage and minimize consumption redundancy and thus prevent one-thinging unnecessary purchases. A robust feedback mechanism is allowed to enable users to refine preferences over time such that meal satisfaction improves. The proposed platform is designed to scale in such a way that it can be integrated with external databases holding recipes and APIs of nutrition, which would increase its pool of recommendations. Furthermore, the system promotes healthy eating since it provides information concerning a balanced diet, as well as monitoring nutrient intake. With MEAL MASTER, on the other hand, the user will optimize meal planning, discover new recipes, and help bring sustainable techniques into cooking. The proposed system would make even the most difficult decisions easy and less complicated and exciting-even for the amateur cook.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{169613,
        author = {U. PRAVEEN and B. HARSHA and A. NIKITHA and A. DEVENDRA and J. VINOJ},
        title = {MEAL MASTER: An Innovative Solution For Meal Planning},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {1781-1787},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169613},
        abstract = {The MEAL MASTER will be a strongly holistic recommender system, which is to be designed, providing meals with personalized recommendations through an intuitive and user-friendly interface, where advanced algorithms in machine learning along with analysis of user preference and other users’ dietary restrictions plus their past interactions will constitute the meal suggestions specific to their taste as well as nutrition. By collecting the details of the user, such as ratings for its meals, history of search, and preference for ingredients, MEAL MASTER develops and perfects recommendation recipes for every dish, making one dynamic experience after another.
In addition to personalization, sustainability is integrated into the MEAL MASTER in a way that minimizes food wastage. Meal suggestions are created based on alternative ingredients that would eventually maximize usage and minimize consumption redundancy and thus prevent one-thinging unnecessary purchases. A robust feedback mechanism is allowed to enable users to refine preferences over time such that meal satisfaction improves. The proposed platform is designed to scale in such a way that it can be integrated with external databases holding recipes and APIs of nutrition, which would increase its pool of recommendations. Furthermore, the system promotes healthy eating since it provides information concerning a balanced diet, as well as monitoring nutrient intake.
With MEAL MASTER, on the other hand, the user will optimize meal planning, discover new recipes, and help bring sustainable techniques into cooking. The proposed system would make even the most difficult decisions easy and less complicated and exciting-even for the amateur cook.},
        keywords = {Meal planning, Recipe generator, Food waste reduction.},
        month = {November},
        }

Cite This Article

PRAVEEN, U., & HARSHA, B., & NIKITHA, A., & DEVENDRA, A., & VINOJ, J. (2024). MEAL MASTER: An Innovative Solution For Meal Planning. International Journal of Innovative Research in Technology (IJIRT), 11(6), 1781–1787.

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