AI in Nutrition: Personalizing Dietary Recommendations for Better Health

Abstract

Artificial intelligence (AI) is revolutionizing nutrition by providing personalized dietary recommendations based on individual health data. This paper explores AI applications in analyzing genetic, metabolic, and lifestyle factors to create tailored nutrition plans. We review case studies demonstrating AI's ability to improve dietary adherence, optimize nutrient intake, and enhance overall health outcomes. The paper also addresses challenges such as data privacy, algorithm transparency, and user engagement. Future research directions are proposed to maximize the benefits of AI in nutrition, aiming to promote healthier eating habits and prevent diet-related diseases.