Paper Title

Food-Scan: Food Monitoring Web Application by Scanning Groceries Receipts

Authors

Aditya Patil , Vinayak Yeole , Yogesh Pagar , Harsh Patel , Prof. Kunal Ahire

Keywords

Health, android, food intake monitoring, elderly, automatic dietary assessment, Web scraping, optical character recognition algorithm (OCR), user evaluation.

Abstract

In the cell phone market there is an enormous number of uses to assist individuals with checking allow or give ideas to get fit and deal with a sound eating routine. In any case, by far most of these applications devour a great deal of time by presenting food individually. This paper presents the work to create and direct test another Android application, Food Scan, focused on individuals more than 70, extraordinarily those from rustic conditions or with restricted specialized information, to deal with their food from the things that’s how up on their staple receipts, keeping away from the commitment to present individually those food varieties, and creating suggestions. To accomplish this last level headed, explicit destinations have been finished as demonstrated in the techniques segment. We directed an audit of current calorie control applications to find out about their shortcomings and qualities. Various calculations were tried to assist the presentation of food into the application and the most appropriate for the Food Scan application was chosen. In like manner, a few choices were considered to make the information base of food, considering dietary proposals for individuals north of 70 years. When created, a pilot assessment was completed with a comfort test of 109 volunteers in country spaces of Caceres and Valladolid (Spain) and Alentejo (Portugal). They tried Food Scan for a month after which they finished a client fulfillment overview. 93 (101/109) trusted that the application was not difficult to download and introduce, 66 (72/109) imagined that it was not difficult to utilize, 47 51/109) noted clients found the application fairly accommodating for observing food admission, simple to download and simple to utilize.

How To Cite

"Food-Scan: Food Monitoring Web Application by Scanning Groceries Receipts", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.6, Issue 12, page no.152 - 155, December-2021, Available :https://ijsdr.org/papers/IJSDR2112021.pdf

Issue

Volume 6 Issue 12, December-2021

Pages : 152 - 155

Other Publication Details

Paper Reg. ID: IJSDR_193776

Published Paper Id: IJSDR2112021

Downloads: 000347054

Research Area: Engineering

Country: -, -, -

Published Paper PDF: https://ijsdr.org/papers/IJSDR2112021

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2112021

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

Article Preview

academia
publon
sematicscholar
googlescholar
scholar9
maceadmic
Microsoft_Academic_Search_Logo
elsevier
researchgate
ssrn
mendeley
Zenodo
orcid
sitecreex