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GRENZE International Journal of Engineering and Technology Vol. 11 (2025), Issue 2

Food Detection and Nutritional Analysis for Customized Dietary Recommendations

Authors

Kodali Lakshmi Padmavathi, Palagiri Pavani, Koduru Dhanyasri, Vangapadu Naga Sai Gayatri

Abstract

This diet recommendation system is designed to provide personalized meal plans for individuals with specific health conditions, taking into account user-specific variables such as age, weight, food preferences, and nutritional needs. By integrating an algorithm that estimates nutrient quantities, the system evaluates whether particular food items are suitable for users with specific illnesses. This approach enables tailored recommendations that not only assist users in achieving health goals such as weight management, muscle growth, or disease control but also ensure each suggested food item is appropriate for the user’s health condition. Emphasizing fundamental supplements like proteins, fats, carbohydrates, vitamins, and minerals, this system promotes healthy eating habits by suggesting nutrient-dense, wellbalanced meals that align with individual goals and dietary restrictions.

Pages: 606 - 612