Intelligent System for Nutritional Analysis and Food Label Compliance Based on an Enriched Food Database

dc.contributor.authorBennour Nour CHerouk
dc.contributor.authorKheir Madjida
dc.date.accessioned2026-10-07T12:44:29Z
dc.date.issued2026
dc.description.abstractAgainst a backdrop of rising rates of diet-related chronic diseases in Algeria, improving the quality of nutritional information is a key strategy for promoting healthy eating and strengthening food quality assurance. DZSain is an innovative mobile app designed to help consumers assess the nutritional quality of foods available on the Algerian market. The app allows users to analyze food products by scanning the GS1-13 barcode or by recognizing the information on the label. Its evaluation system is based on the EWG Food Scores methodology, which combines nutritional quality, the degree of industrial processing, and the presence of potentially concerning ingredients or additives to assign an overall quality score. The DZSain database was compiled from products available on the Algerian market and verifiedin accordance with the requirements of national regulations regarding food labeling. Using an approach that integrates the principles of quality assurance and personalized nutrition, the results are cross-referenced with the user’s health profile (diabetes, high blood pressure, dyslipidemia, kidney failure, chronic inflammatory bowel diseases, and food allergies) to provide tailored recommendations and targeted alerts. This approach helps improve the reliability of nutritional information, food risk management, and consumer decision-making. Thus, DZSain is a promising digital tool for strengthening the prevention of chronic diseases and supporting food quality and safety strategies in Algeria.
dc.identifier.urihttps://e-biblio.univ-mosta.dz/handle/123456789/30809
dc.language.isofr
dc.subjectnutritional labeling
dc.subjectmobile app
dc.subjectEWG Food Scores
dc.subjectregulatory compliance
dc.subjecthealth profile
dc.subjectAlgeria
dc.titleIntelligent System for Nutritional Analysis and Food Label Compliance Based on an Enriched Food Database
dc.typeOther

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