| dc.description.abstract | Noncommunicable disease prevalence,
particularly obesity, is a major global health concern. A
balanced diet can help with nutritional issues such as
malnutrition and obesity. Individuals, on the other hand,
frequently lack understanding about the proper nutrients
and diets for their health, and gaining access to
healthcare specialists can be difficult. Diet
recommendation solutions based on artificial
intelligence (AI) algorithms have evolved to solve these
challenges. These systems use big data and tailored
criteria to deliver individualized diet recommendations.
Existing approaches, however, have shortcomings, such
as a lack of expert oversight and consideration of various
individual characteristics. We propose a knowledgebased
diet recommendation approach for Sri Lankan
people in the age of 18-60 which do not have any special
conditions. To give precise and safe diet
recommendations, this approach considers data such as
gender, BMI, pathology report results, food allergies,
dietary preferences, and physical activity levels. The
incorporation of expert supervision improves the
effectiveness of this approach. This study contributes to
the creation of a sophisticated and all-encompassing
approach to tailored nutrition advice. | en_US |
