FoodVisor: An AI-Powered Food Label Analysis System for Ingredient Interpretation and Personalized Dietary Recommendations

FoodVisor: An AI-Powered Food Label Analysis System for Ingredient Interpretation and Personalized Dietary Recommendations | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article FoodVisor: An AI-Powered Food Label Analysis System for Ingredient Interpretation and Personalized Dietary Recommendations Amoggha C H, Padmapriya R, A Ajina This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7133070/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract FoodVisor is an AI-powered food label analysis system that offers personalized ingredient interpretation and dietary recommendations. Users input health data securely (AES- 128 encryption), and scan product labels using OCR or barcodes. A hybrid AI model combining Retrieval-Augmented Generation (RAG) and a fine-tuned LLaMA 2 analyzes ingredients in context with user allergies and medical conditions. Integrated APIs support nutritional logging and product verification. FoodVisor also works via browser extension for online shopping, bridging ingredient transparency with personalized dietary safety through advanced NLP, OCR, and cloud deployment. Advanced Encryption Standard (AES-128) AI in Healthcare Food Safety LLaMA 2 Optical Character Recogni- tion (OCR) Retrieval-Augmented Generation (RAG) Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7133070","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":504439210,"identity":"734155da-e3f9-4b10-85da-c54afc6855ca","order_by":0,"name":"Amoggha C H","email":"","orcid":"","institution":"Ramaiah Institute of Technology","correspondingAuthor":false,"prefix":"","firstName":"Amoggha","middleName":"C","lastName":"H","suffix":""},{"id":504439212,"identity":"87752408-da9a-4704-9a90-6cfed373f76a","order_by":1,"name":"Padmapriya R","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA6ElEQVRIie3RPQrCMBTA8SdCuwTd5Ilgr9AilB4nWXTJJjhJUQp1qV7AU7h0cigIddG90iWTLq5KXcSkszS4OeS/teTHyweAyfSHWQAtQQGJY0eZ/Eb1020kHYC2KwCHXpJTRVBLhnJQXwCMoOD1Sj2xekeBdB6wZXJ67F77IAQ7SrGRDLjr0hzZyl6nJbnKjZF8piNAqYVyyjktIZMEua8hE5HRN7JFwa+XShHnriPUW7AY1fGtgtRTiI7wEbBNfcl+KUk/JuNp0ESc7eT2qp6hekq1sbDbtQ+7ool8mfvbcpPJZDJ96wOBr0dmGYDNBQAAAABJRU5ErkJggg==","orcid":"","institution":"Ramaiah Institute of Technology","correspondingAuthor":true,"prefix":"","firstName":"Padmapriya","middleName":"","lastName":"R","suffix":""},{"id":504439214,"identity":"190007a5-f55a-4dca-9665-554f8ce3b148","order_by":2,"name":"A Ajina","email":"","orcid":"","institution":"Ramaiah Institute of Technology","correspondingAuthor":false,"prefix":"","firstName":"A","middleName":"","lastName":"Ajina","suffix":""}],"badges":[],"createdAt":"2025-07-15 17:38:16","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7133070/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7133070/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":95314918,"identity":"d93012b2-8ee9-4fcc-84df-7544f7ec8936","added_by":"auto","created_at":"2025-11-06 15:53:30","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1146780,"visible":true,"origin":"","legend":"","description":"","filename":"springerpaper070825.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7133070/v1_covered_36d96f17-52a2-453b-9acc-10a2f9d4d9c6.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"FoodVisor: An AI-Powered Food Label Analysis System for Ingredient Interpretation and Personalized Dietary Recommendations","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Advanced Encryption Standard (AES-128), AI in Healthcare, Food Safety, LLaMA 2, Optical Character Recogni- tion (OCR), Retrieval-Augmented Generation (RAG)","lastPublishedDoi":"10.21203/rs.3.rs-7133070/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7133070/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eFoodVisor is an AI-powered food label analysis system that offers personalized ingredient interpretation and dietary recommendations. 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