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Body fat prediction and a well-balanced diet recommendation system based on the user's food preferences and health conditions

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dc.contributor.author Manamperi Kankanamge, Awantha Tharindu
dc.date.accessioned 2024-04-22T09:37:21Z
dc.date.available 2024-04-22T09:37:21Z
dc.date.issued 2023
dc.identifier.citation Manamperi kankanamge , awantha tharindu (2023) Body fat prediction and a well-balanced diet recommendation system based on the user's food preferences and health conditions. BSc. Dissertation, Informatics Institute of Technology en_US
dc.identifier.issn 2019768
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/2040
dc.description.abstract Obesity is a prevalent condition that poses a significant public health challenge worldwide. It is characterized by the accumulation of excess body fat, which can lead to an array of health issues. These include an increased risk of cardiovascular disease, diabetes, certain types of cancer, sleep apnea, and joint problems, among others. As such, maintaining a healthy body composition is essential in mitigating these risks. This can be achieved through a combination of a balanced diet and regular exercise. A healthy diet should provide adequate nutrition while limiting the intake of unhealthy fats, sugars, and refined carbohydrates. On the other hand, regular physical activity helps to burn calories, improve metabolism, and strengthen muscles and bones. Therefore, adopting healthy lifestyle habits that promote a healthy body composition is crucial in preventing and managing obesity and related health complications. en_US
dc.language.iso en en_US
dc.subject Machine learning en_US
dc.subject Body Fat Prediction en_US
dc.subject Personalized Nutrition en_US
dc.title Body fat prediction and a well-balanced diet recommendation system based on the user's food preferences and health conditions en_US
dc.type Thesis en_US


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