AI-Driven Personalized Nutrition Apps and Platforms for Enhanced Diet and Wellness
G. Krishna Prasad, Mrutyunjay Padhiary, Azmirul Hoque, Kundan Kumar
Abstract
Health is essential for general well-being and productivity, and in order to properly meet dietary needs and prevent lifestyle-related disorders, creative solutions such as personalized nutrition applications are required. Nutrition apps driven by artificial intelligence (AI) provide individualized nutritional and health solutions. These applications track dietary intake, physical activity, and health parameters using data-driven insights, sophisticated algorithms, and user-centric design. Through gamification, voice assistants, and chatbots, AI promotes customer involvement. In addition to encouraging preventative healthcare, these systems can aid in the prevention of obesity, malnutrition, and chronic diseases. However, there are still obstacles such as data privacy, algorithmic bias, legal concerns, and validation of nutrition databases. For precise and dependable answers, cooperation between AI engineers, nutritionists, and medical specialists is essential.