AI-enabled Recapitulated Neuro Fuzzy Optimization (RNFO)algorithm for evaluating the food consumption and nutrition during COVID-19

Food is essential for human survival and supports daily activities, energy production, and overall health. Adequate nutrient intake enables physiological and biochemical processes critical for energy conversion. Carbohydrates, among key nutrients, play a pivotal role in maintaining consistent energy levels. Malnutrition—marked by nutrient deficiencies or imbalances—is a pressing global health issue, with severe consequences for older adults who face age-related emotional and physical changes. Proper carbohydrate consumption helps regulate blood sugar and reduces the risk of chronic diseases. A balanced diet emphasizes natural foods while minimizing processed and high-fat animal products. This research explores the nutritional value of food, the impact of nutrient excess or deficiency, and carbohydrate’s health role. It employs an AI-driven Recapitulated Neuro-Fuzzy Optimization algorithm to analyze gender-based nutritional patterns during the COVID-19 pandemic.