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Article Abstract
Background And Aims: The increasing number of non-communicable diseases, such diabetes and obesity, makes it even more important to have accurate and personalized dietary solutions. Based on a lot of research, standard diet advice may not be accurate enough to meet individual health demands. The Intelligent Diet Recommendation System is an artificial intelligence-powered platform that gives personalized dietary recommendations based on extensive body composition data and cultural eating habits.
Methods: The Intelligent Diet Recommendation System gathers key measurements, including body mass index and body fat percentage, using cutting-edge body analysis tools. Customized diets were created using 3D body modeling technologies and machine learning algorithms. The system's performance was evaluated by assessing the inaccuracy rate of its dietary recommendations.
Results: The Intelligent Diet Recommendation System made personalized diet plans based on physiological and cultural factors with an error rate of less than 3%.
Conclusions: The results show that the Intelligent Diet Recommendation System is a scalable, artificial intelligence-based way to solve global health problems that makes dietary advice much more accurate and easy to find. This system offers a new way of doing nutritional therapy that could improve health outcomes around the world.
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| http://dx.doi.org/10.1016/j.clnesp.2025.09.002 | DOI Listing |
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