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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/123456789/14736
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dc.contributor.authorVerma, Vansh-
dc.contributor.authorGupta, Gagan-
dc.contributor.authorKatara, Aditya-
dc.contributor.authorThakur, Parav-
dc.contributor.authorKanwar, Kushal [Guided by]-
dc.date.accessioned2026-08-24T06:26:16Z-
dc.date.available2026-08-24T06:26:16Z-
dc.date.issued2026-
dc.identifier.urihttp://www.ir.juit.ac.in:8080/jspui/jspui/handle/123456789/14736-
dc.descriptionSP2226180 [Enrollment No. 221030221, 221030148, 221030452, 221030250]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.subjectAI-generated product reviewsen_US
dc.subjectOnline shoppingen_US
dc.titleFake Review Detector: multi-model machine learning approach for identifying fraudulent product reviewsen_US
dc.typeProject Reporten_US
Appears in Collections:B.Tech. Project Reports

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