International Journal of Advanced Research in Computer and Communication Engineering

Abstract: In today’s modern world, unhealthy eating habits and busy lifestyles have become major contributions to health issues like obesity, malnutrition and chronic diseases. Even though there are many standard nutritional guidelines many individuals fail to follow because of various reasons [1],[2]. The reasons may vary from person to person such as based on their age, previous health conditions, personal choices etc. So they find it difficult to follow and adapt generalized nutritional plans that are available.

Many users are looking forward to having their own personalized nutritional plan rather than any other generalized nutritional plans. To overcome this challenge, this research proposes a customized nutritional plan for every individual by collecting data from user inputs like age, gender, height, weight, health conditions, personal choices, tastes etc[3].[5],[7]. Our project is aimed to use a rule-based system that gets predefined rules from the standard nutritional guidelines which are useful to make a free from danger and clinically accepted diet plans for each BMI category by filtering unsuitable, unhealthy foods and maintaining proper nutritional balance [4], [6].

The result of our project is a user-friendly and smart nutrition recommendation system that gives accurate, personalized, and preference-aware diet plans. By combining health data evaluation with NLP techniques, our project helps users follow healthier diets while still enjoying foods of their tastes and cultural preferences [5].

Index Terms: BMI Calculation, Personalized Diet Planning, Nutritional Recommendation, Rule-Based System, Large Language Model, Health NLP, User Food Preferences.

Downloads: | DOI: 10.17148/IJARCCE.2026.15236