FOOD-SCAN: FOOD MONITORING WEB APPLICATION BY SCANNING GROCERIES RECEIPTS
VINAYAK YEOLE
, ADITYA PATIL , HARSH PATEL , YOGESH PAGAR , PROF. KUNAL AHIRE
Health, android, food intake monitoring, elderly, automatic dietary assessment, Web scraping, optical character recognition algorithm (OCR), user evaluation
In the PDA market there is a colossal number of purposes to help people with checking permit or give thoughts to get more fit and manage a sound eating schedule. Anyway, by a wide margin the majority of these applications eat up a lot of time by introducing food independently. This paper presents the work to make and direct test one more Android application, FoodScan, zeroed in on people more than 70, remarkably those from rural circumstances or with limited specific data, to manage their food from the things that is the way up on their staple receipts, avoiding the obligation to introduce separately those food assortments, and making ideas. To achieve this last practical, express objections have been done as shown in the procedures section. We coordinated a review of current calorie control applications to learn about their weaknesses and characteristics. Different computations were attempted to help the introduction of food into the application and the most suitable for the FoodScan application was picked. Likewise, a couple of decisions were considered to make the data base of food, thinking about dietary proposition for people more than 70 years. At the point when made, a pilot evaluation was finished with a solace trial of 109 workers in country spaces of Caceres and Valladolid (Spain) and Alentejo (Portugal). They attempted FoodScan for a month after which they completed a client satisfaction outline. 93 (101/109) believed that the application was quite easy to download and present, 66 (72/109) envisioned that it was easy to use, 47 51/109) noted clients observed the application genuinely obliging for noticing food affirmation, easy to download and easy to use.
"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.7, Issue 5, page no.48 - 54, May-2022, Available :https://ijsdr.org/papers/IJSDR2205009.pdf
Volume 7
Issue 5,
May-2022
Pages : 48 - 54
Paper Reg. ID: IJSDR_200340
Published Paper Id: IJSDR2205009
Downloads: 000347353
Research Area: Engineering
Country: -, -, India
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
