Year: 2025
Type: article
Abstract: This project presents a Personalized Diet Recommendation System utilizing Artificial Neural Networks (ANNs) to provide tailored nutritional guidance based on individual health parameters such as age, gender, BMI, activity level, and dietary preferences.The system leverages machine learning to analyze user inputs and predict optimal meal plans that align with health goals like weight loss, muscle gain, or disease management.By continuously learning from user feedback, the ANN enhances recommendation accuracy over time.This intelligent approach aims to promote healthier lifestyles through automated, data-driven diet planning.
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W4414253933
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