Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/11895
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dc.contributor.authorShah, Het-
dc.date.accessioned2023-08-18T08:43:52Z-
dc.date.available2023-08-18T08:43:52Z-
dc.date.issued2023-06-01-
dc.identifier.urihttp://10.1.7.192:80/jspui/handle/123456789/11895-
dc.description.abstractIn this century, development is happening at a very high pace. As a result of this development, several issues have occurred, and one of those issues is waterlogging on roads during rainy seasons. The main reason behind this is a lack of planning for development. There are many places where lakes have been shrunk for developing buildings and tech parks, resulting in heavy waterlogging these days. Consequently, waterlogging has led to many accidents, increased traffic, agricultural challenges, infrastructure damage, and environmental degradation. This paper proposes a method by which we can predict waterlogging. To predict waterlogging, a sensor should be deployed on a lamp pole. The sensor will measure the depth of water on roads and send the data to the cloud, where data processing occurs. The processed data will provide the user with the location where waterlogging is high and suggest a new route that is safe and easy to navigate.en_US
dc.publisherInstitute of Technologyen_US
dc.relation.ispartofseries21MCED13;-
dc.subjectComputer 2021en_US
dc.subjectProject Report 2021en_US
dc.subjectComputer Project Reporten_US
dc.subjectProject Reporten_US
dc.subject21MCEen_US
dc.subject21MCEDen_US
dc.subject21MCED13en_US
dc.titleSafe Route Explorer with IOT and Cloud Computingen_US
dc.typeDissertationen_US
Appears in Collections:Dissertation, CE (DS)

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