AI-Powered Personalized Diet Planner

AI-Powered Personalized Diet Planner

Lalit Nandkumar Joshi

Abstract
The increasing prevalence of lifestyle-related health conditions has amplified the need for personalized nutrition plans that cater to individual health metrics, dietary preferences, and fitness goals. In India, where dietary habits are deeply influenced by cultural and regional diversity, approximately 54% of the population lacks access to structured diet planning, and obesity rates have surged to over 20% in urban areas. This paper introduces an AI-powered personalized diet planner designed to address these challenges by leveraging user health data, machine learning algorithms, and adaptive feedback mechanisms to generate tailored meal plans. The proposed system integrates data such as BMI, dietary restrictions, and fitness objectives to create dynamic and customized recommendations, aiming to enhance adherence to healthy eating habits and improve overall well-being. The adaptive nature of the solution allows continuous refinement of diet plans based on user feedback, ensuring relevance and sustainability. The system demonstrates for predicting suitable diet plans and showcases significant improvements in user satisfaction and health outcomes compared to traditional, static methods.

This research highlights the potential of artificial intelligence in addressing the complexities of personalized nutrition planning, particularly in a diverse population like India. By improving accessibility and engagement through user-centric design, the system can contribute to combating the rising obesity rates and promoting a healthier lifestyle among individuals.

Keywords
Personalized Nutrition, AI-powered Diet Planner, Machine Learning in Healthcare, User-Centric Health Applications, Adaptive Systems, Dietary Recommendations, Health Data Integration, Fitness Goals, User Feedback, Predictive Analysis.