RECIPE NUTRITIONAL INFORMATION WITH AI-DRIVEN DIETARY ANALYSIS

Abstract: Nutrition plays a crucial role in overall health, well-being, and fitness at both physical and mental levels. The rapid advancement of AI, particularly Google’s Gemini API, has enabled accurate and efficient dietary analysis using Natural Language Processing models to help individuals make informed food choices. AI techniques analyze nutrient profiling, assessing macro- and micronutrients in food through machine learning algorithms and extensive ingredient databases to determine nutritional values. While some AI models consider macronutrient input, they primarily emphasize balancing proteins, carbohydrates, fats, fiber, and essential vitamins and minerals. By leveraging AI-driven insights, personalized nutrition recommendations can be tailored based on health conditions, dietary preferences, and nutritional goals, ensuring suitability for specific needs, such as diabetes management. Additionally, AI enhances meal planning by recommending recipes tailored to dietary requirements, promoting healthier eating habits.