AI-Based Personalized Meal Recommendation & Nutrition System |
Author(s): |
| Yash Bedagkar , D. Y. Patil College of Engineering; Rahul Chafekar , D. Y. Patil College of Engineering; Atharva Agnihotri, D. Y. Patil College of Engineering; Bharat Kshirsagar, D. Y. Patil College of Engineering; Mrs. Rajshri Ingle , D. Y. Patil College of Engineering |
Keywords: |
| Meal Recommendation System, Nutrition System, Body Mass Index (BMI), Artificial Intelligence Based System |
Abstract |
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In today's fast-paced lifestyle, maintaining a balanced and personalized diet is a major challenge for individuals striving to achieve better health and fitness. MealMetrics is an AI-powered nutrition tracking and recommendation system designed to simplify this process by offering tailored dietary guidance based on user-specific health data. The system enables users to log their daily food intake and calculates their recommended macronutrient distribution — including calories, proteins, carbohydrates, and fats — according to their Body Mass Index (BMI), weight, height, and dietary preferences. MealMetrics further enhances user engagement through intelligent interactions and personalized food suggestions that align with the user's health goals and eating patterns. This approach allows users to make more informed decisions and develop sustainable, healthy eating habits over time. Future improvements will focus on expanding datasets, refining recommendation accuracy, and incorporating expert feedback to improve system reliability and ensure more precise nutritional guidance. |
Other Details |
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Paper ID: IJSRDV13I20217 Published in: Volume : 13, Issue : 2 Publication Date: 01/05/2025 Page(s): 231-236 |
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