Abstract: Smart health and nutrition management are crucial because of the rapid increase in lifestyle-related diseases like obesity, diabetes, and hypertension. This paper introduces Smart Health Diet Planner, an intelligent AI-driven system that creates personalized diet plans by analyzing health data and using nutrition-based machine learning. By using predictive algorithms and customizable food databases, the system offers accurate calorie estimates, balances macronutrients and micronutrients, and provides diet recommendations tailored to specific conditions. The planner combines user health profiles, activity levels, and dietary preferences to create optimized daily meal plans. Results show that the system greatly enhances adherence to healthy eating habits and leads to better health outcomes. The proposed diet planner emphasizes the significant role of artificial intelligence in personalized nutrition and preventive healthcare.

Keywords: AI-Driven Diet Planning, Personalized Nutrition, Machine Learning in Healthcare, Micro Front-End Architecture, Scalable Web Application, Health Data Analysis, Preventive Healthcare

Downloads: | DOI: 10.17148/IARJSET.2025.121212