"Enhancing Disease-Free Survival: Leveraging Automated Food Image Recognition for Nutrient Estimation Using Deep Learning"

V.NEELIMA DEVI , Dr.K.N.S Lakshmi

Food Images, Convolutional Neural Network, Image Recognition, VGG16, CNNovaNet, Health Monitoring, Nutrition Analysis.

ABSTRACT Healthy lifestyle is an important factor for disease free survival in this pandemic era. To maintain proper health, it is essential to consume good nutritious food. This research embarks on a pivotal journey to harness the capabilities of automatic food image recognition systems, with a profound focus on nutrient identification. Such a system stands poised to usher in a transformative wave within the domains of computer vision, dietary analysis, and fitness monitoring. The objective of this study is to train a deep learning model which identifies a food image captured with any camera device and generate a nutrient estimate report. The proposed model is a two-step process, firstly it recognizes a processed food image using a deep learning model, then it generates a dietary assessment report based on a synthesized nutrient value dataset taking USDA national nutrient database as a standard source. Transfer learning is applied on VGG16 model architecture and experimental evaluation is conducted using subset of food image dataset FOOD-101. Remarkable outcomes emerge through the adaptation of a new CNNovaNet architecture, yielding exceptional results, particularly when applied to the complete FOOD-101 dataset.

Published Paper   E-Certificate

""Enhancing Disease-Free Survival: Leveraging Automated Food Image Recognition for Nutrient Estimation Using Deep Learning"", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 10, page no.b250-b257, October-2024, Available :https://ijnrd.org/papers/IJNRD2410131.pdf

Volume 9 Issue 10, October-2024

Pages : b250-b257

Paper Reg. ID: IJNRD_300861

Published Paper Id: IJNRD2410131

Downloads: 00035

Research Area: Science All

Country: vijayawada/krishna, Andhra_Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2410131

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2410131

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition