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Personalised nutrition uses individual data to optimise dietary recommendations for better health results. The rapid growth of artificial intelligence (AI) provides an innovative solution to the issues of this industry. AI can process massive and complicated datasets, such as genetic, phenotypic, and behavioural data, to generate highly personalised nutrition recommendations. Machine learning methods, ranging from grouping and prediction to deep learning, allow for the discovery of food patterns, health effects, and individualised nutritional requirements. This study investigates the use of AI in personalised nutrition, including existing applications and future perspectives needed to overcome problems such as data interoperability, ethical considerations, and model interpretability. Keywords: Artificial Intelligence (AI), MPersonalized Nutrition, Precision Nutrition, Machine Learning, Genomics.
Mwaura J. Ngugi (Sun,) studied this question.