PERSONALIZED DIET RECOMMENDATION SYSTEM USING ARTIFICIAL NEURAL NETWORKS

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.

Publication Details

Journal
International Research Journal of Modernization in Engineering Technology and Science
Published
2025-09-16
DOI
https://doi.org/10.56726/irjmets81270
Primary Topic
Technology and Data Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

PERSONALIZED DIET RECOMMENDATION SYSTEM USING ARTIFICIAL NEURAL NETWORKS

International Research Journal of Modernization in Engineering Technology and Science
Technology and Data Analysis
article

PERSONALIZED DIET RECOMMENDATION SYSTEM USING ARTIFICIAL NEURAL NETWORKS

article en

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.

International Research Journal of Modernization in Engineering Technology and Science
Openalex Percentile: Top 63%
Technology and Data Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

PERSONALIZED DIET RECOMMENDATION SYSTEM USING ARTIFICIAL NEURAL NETWORKS · International Research Journal of Modernization in Engineering Technology and Science (2025) | TGRS Research Map | TGRS