PERSONALIZED NUTRITION WITH AI: INVESTIGATE HOW AI CAN BE USED TO ANALYZE INDIVIDUALS' DIETARY HABITS, HEALTH DATA, AND GENETIC INFORMATION

Abstract

Clinical nutrition may soon see a dramatic shift due to the advent of artificial intelligence (AI), a cutting-edge medical technology. Complex data analysis, medical picture interpretation, and patient-specific dietary therapies can all benefit from AI's assistance. More and more people are looking to AI-powered software apps that can tailor their diet plans to their specific needs in order to encourage them to lead healthier lives. We provide a knowledge-based recommendation system that can deliver amazingly accurate diet plans to 10 separate user categories, including healthy persons and those with medical issues, by using an explicit dataset of expert-validated meals. A quantitative layer to combine meal ideas and a qualitative layer to ensure ingredients are compatible make up the suggested advisor's novel design. In the first level, you'll find an expert system that employs fuzzy inference based on an ontology of rules discovered by nutritionists. In the second layer, you'll find an optimization process that creates daily meal plans based on target and range nutritional values. We test the system extensively to see how successfully it recommends meal plans, how varied the meals are, and how appropriate the meals and meal plans are. A total of three thousand synthetic user profiles and weekly food plans were generated for the purpose of the evaluations.