Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9893
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dc.contributor.authorShukla, Prajjwal-
dc.contributor.authorSrivastva, Shreyansh-
dc.contributor.authorKhan, Nafis Uddin [Guided by]-
dc.date.accessioned2023-09-08T11:56:54Z-
dc.date.available2023-09-08T11:56:54Z-
dc.date.issued2023-
dc.identifier.urihttp://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9893-
dc.descriptionEnrolment No. 191048, 191044en_US
dc.description.abstractRegular medical evaluations can lead to early illness identification, speed up the provision of healthcare, and significantly better patient outcomes a wide range of illnesses that have an impact on public health. Technologies that can change the current emergency medical services system preventive, based on evidence, individual-cantered care still have a significant unmet need. Platforms that discover a variety of indicators for health and disease and are convenient to include into people's daily lives are preferred with this goal in mind. However, pee, a biological fluid that is produced in vast amounts every day, can be collected painlessly, doesn't interfere with people's everyday lives, and has the most biologically diverse material, is frequently dumped into sewers without being processed or Pee, on the other hand, is regularly discarded the sewers without being processed or observed despite being a substance produced by living things enormous quantities each day, there collected painlessly, doesn't interfere with people's daily lives, and has the most biologically rich composition.en_US
dc.language.isoen_USen_US
dc.publisherJaypee University of Information Technology, Solan, H.P.en_US
dc.subjectDisease detectionen_US
dc.subjectInternet of thingsen_US
dc.subjectUrineen_US
dc.subjectTurbidity sensoren_US
dc.titleDisease Detection using IOT from Urineen_US
dc.typeProject Reporten_US
Appears in Collections:B.Tech. Project Reports

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