PERSONAL HEALTH TRACKING AND NUTRITION RECOMMENDATION WEB APPLICATION.

Abstract

Lifestyle-related diseases such as obesity, diabetes and cardiovascularproblems are becoming more common as modern diets and routines drift awayfromhealthy habits. Motivated by this, this thesis develops a Personal HealthTrackingAnd Nutrition Recommendation Web application. The system is built using ASP.NET Core MVC, Entity FrameworkCoreandSQL Server. Users can manage personal profiles, automatically calculateBMI,BMR and TDEE, and record daily meals with calories and macronutrients. Akeycontribution is a bucket-based meal recommendation model in a three-dimensionalKcal–Protein–Carb space, using a simplified beam search to maintain the best mealcombinations under nutritional constraints and user-selected precision modes. The application was evaluated through functional testing and a small userstudy. Results show that the system helps users understand their eatinghabits,follow calorie targets and receive practical suggestions for daily meal planning,providing a useful tool to support healthier lifestyles.