Health Tracker AI-Powered Nutritional Analysis and Diet Optimization Platform for Indian Dietary Patterns

Abstract

Nutritional deficiency and lifestyle diseases such as diabetes and obesity are major public health challenges in India, compounded by the absence of dietary tools tailored to Indian food culture. Existing nutritional tracking platforms predominantly focus on Western dietary patterns and fail to interpret traditional Indian meals characterized by ambiguous portion sizes, regional preparation variations, and culturally specific food items. This paper presents the design, development, and evaluation of a web-based Nutritional Analysis and Diet Optimization Platform specifically tailored for Indian dietary patterns. The proposed system accepts natural language food descriptions, processes them through an Indian cuisine-specific nutritional estimation engine backed by NIN/ICMR food composition data, and generates comprehensive dietary sufficiency reports with personalized, goal-oriented recommendations. Validation on a dataset of 150 Indian meal descriptions yields a mean absolute error (MAE) of 4.2% for caloric estimation and 5.8% for protein estimation. A diet scoring mechanism (0–100) and weekly progress tracking support sustained behavioral change. Comparative analysis against HealthifyMe and MyFitnessPal demonstrates an 18.4% improvement in portion estimation accuracy for Indian meals. The platform is built using React, Spring Boot, Node.js, and MongoDB