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Nirav Mehta
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- Assistant Professor, Department of Computer Science, Shri V. J. Modha College, Porbandar, Gujarat, India
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Abstract
nThis research focuses on developing a comprehensive dataset for accurate dietary recommendations tailored to Gujarati cardiac patients’ needs. The dataset comprises nutritional details of over 90 Gujarati food and fruit products, meticulously collected through primary and secondary data collection methods. Each food item’s nutritive values, including proteins, carbohydrates, fats, fiber, and calories, are meticulously recorded to facilitate precise dietary recommendations. The dataset integrates cultural preferences and seasonal variations in food availability to ensure relevance and adherence to dietary guidelines. Additionally, the research incorporates feedback from cardiac patients, who rate food preferences on a scale of 1 to 10, enhancing the dataset’s accuracy and relevance. By leveraging this rich dataset, the research aims to develop an effective recommendation system that provides personalized and culturally sensitive dietary guidance to improve the cardiac health management of Gujarati patients.
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Keywords: Nutrition-based recommendation system, Fuzzy logic, Gujarati cuisine, Cardiac patients, Dietary management, Cultural preferences, Personalized recommendations, Nutritive values, Dataset, Feedback integration
n[if 424 equals=”Regular Issue”][This article belongs to Journal of Computer Technology & Applications(jocta)]
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| Volume | 15 | |
| [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] | 01 | |
| Received | March 13, 2024 | |
| Accepted | April 2, 2024 | |
| Published | April 18, 2024 |
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