UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 12 | December 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR1905199


Registration ID:
206250

Page Number

672-674

Share This Article


Jetir RMS

Title

Food Recognition and Recommendation Application

Abstract

One of the emergent concerns of human life is about health and wellness. Undeniably, health and nutrition are one of the valuable aspects of life. Thus, technological innovations to help enhance and even promote health awareness is essential. With the advent of mobile computing, it is much easier to be aware of health information because of its mobility and availability. Much mobile application is being developed to serve as a tool for health monitoring and nutritional guide. Mobile applications have the ability to support health needs like detecting heart rate, classifying food, and many more. Taking advantage of technology, utilization of it hereby addresses certain issue and problems of human life, especially in health. In this project we attempt to design and develop an Android- based food recognition and recommendation application that could be used as a health advisor for every health group. The application lets the user take the photo of the food and recognizes it using deep learning and shows the nutritional value of the food and then applying classification algorithms on the gathered data, it will inform whether it is healthy for a particular group of people (like diabetic patients). We believe this will be an effective way to recognize the food category and efficiently analyze the nutritional value of it. Since it’s a mobile- based application, it will be convenient for the users to access the application from wherever and whenever they wish to, and create awareness which will promote healthy lifestyle and better nutrition.

Key Words

Food Recognition Recommendation Machine Learning AI Image Recognition Android Application

Cite This Article

"Food Recognition and Recommendation Application", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.672-674, May-2019, Available :http://www.jetir.org/papers/JETIR1905199.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Food Recognition and Recommendation Application", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp672-674, May-2019, Available at : http://www.jetir.org/papers/JETIR1905199.pdf

Publication Details

Published Paper ID: JETIR1905199
Registration ID: 206250
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 672-674
Country: Mumbai, MAHARASHTRA, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

0002996

Print This Page

Current Call For Paper

Jetir RMS