Machine Learning Application for Diet Maintenance Period

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Cilt: 05 Sayı: 01
Machine Learning Application for Diet Maintenance Period

Machine Learning Application for Diet Maintenance Period

Authors : Berrin Atalay

Pages : 26-37

View : 25 | Download : 31

Publication Date : 2025-07-31

Article Type : Research Paper

Abstract :Objective: This study addresses one of the challenges faced during the post-diet maintenance phase: tracking nutrient intake. It aims to facilitate weight management for individuals in this period. Materials and Methods: First, a consultation with a registered dietitian was conducted to understand the process, and sample maintenance phase meal plans were obtained. Based on this, a Windows Forms application was developed to enable individuals to track their food intake during their maintenance phase. The application helps users maintain a healthy and balanced diet during the post-diet maintenance period by considering their dietary preferences and needs and simplifying nutrient tracking. The application interface includes a user registration screen and an exchange calculation screen. Based on the data obtained from the user registration screen, the total exchange amounts can be viewed on the exchange calculation screen. By entering their daily food intake, users can see their remaining exchange rights, ensuring effective tracking during the maintenance phase. Findings: A regression model was developed using the data collected from the application to determine whether there is a relationship between eating habits and weight. The findings indicate significant relationships between the consumption of certain nutrients and weight. Conclusion: Based on these relationships, a valid regression model was created that can be used for future weight predictions. Additionally, the developed application allows users to track their nutrient intake during the post-diet maintenance phase, enabling them to maintain a healthy and balanced diet.
Keywords : C#, Diyet, Koruma Dönemi, Makine Öğrenmesi, Python

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