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Please use this identifier to cite or link to this item: http://www.ir.juit.ac.in:8080/jspui/jspui/handle/123456789/14699
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dc.contributor.authorSeth, Vansh-
dc.contributor.authorMehta, Pratyush-
dc.contributor.authorBhavya-
dc.contributor.authorRaj, Mohit-
dc.contributor.authorAnita [Guided by]-
dc.date.accessioned2026-08-21T09:34:30Z-
dc.date.available2026-08-21T09:34:30Z-
dc.date.issued2026-
dc.identifier.urihttp://www.ir.juit.ac.in:8080/jspui/jspui/handle/123456789/14699-
dc.descriptionSP2226115 [Enrollment No. 221030133, 221030241, 221030180, 221031024]en_US
dc.language.isoenen_US
dc.publisherJaypee University of Information Technology, Solan, H.P.en_US
dc.subjectComputer Science and Engineeringen_US
dc.subjectArtificial intelligenceen_US
dc.subjectApple Healthen_US
dc.subjectFitbiten_US
dc.titleAI-Enabled Predictive Wellness and Lifestyle Recommendation System using Multi-Modal User Dataen_US
dc.typeProject Reporten_US
Appears in Collections:B.Tech. Project Reports

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