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<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://dk.um.si/IzpisGradiva.php?id=84450"><dc:title>Development of the web service for grocery store receipt recognition and subsequent analysis of the nutritional value of the products purchased</dc:title><dc:creator>Nesterov,	Pavel	(Avtor)
	</dc:creator><dc:creator>Kljajić Borštnar,	Mirjana	(Mentor)
	</dc:creator><dc:subject>Healthy eating</dc:subject><dc:subject>Grocery store receipt</dc:subject><dc:subject>Nutritional analysis</dc:subject><dc:subject>Daily intake monitoring</dc:subject><dc:subject>machine learning</dc:subject><dc:subject>chatbot</dc:subject><dc:description>The objective of this study is to tackle the worldwide problem of cardiovascular diseases (CVDs). These diseases represent the foremost reason for mortality on a global scale, accounting for approximately 17.9 million deaths annually. Unhealthy eating habits are one of the most frequent causes for CVD in the world and are addressed in various ways, including digital technologies. The goal of this project i`s to develop a web service that enables a non-intrusive way of tracking food consumption and monitoring the dynamics of nutrient intake compared to the traditional "record-every-meal" type of tracking. We followed a design science research approach to develop the web service. The web service employs semantic similarity algorithms and enables human feedback to improve its performance. It will be developed using the Serverless framework and deployed on the AWS platform. Receipt recognition will be performed using AWS Textract, and the nutritional value of the products will be obtained from publicly available databases. This approach aims to create an innovative and user-friendly method for tracking food consumption and nutrient dynamics.</dc:description><dc:date>2023</dc:date><dc:date>2023-06-09 09:39:00</dc:date><dc:type>Magistrsko delo/naloga</dc:type><dc:identifier>84450</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
