Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1129
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dc.contributor.authorDilshan, K.K.D.N.-
dc.contributor.authorParussella, U.M.D.M.-
dc.contributor.authorHerath, H.M.C.J.-
dc.contributor.authorChandranath, C.A.J.P.-
dc.contributor.authorThelijjagoda, S.-
dc.contributor.authorJayalath, T.-
dc.date.accessioned2022-02-14T06:56:17Z-
dc.date.available2022-02-14T06:56:17Z-
dc.date.issued2021-12-09-
dc.identifier.issn978-1-6654-0862-2/21-
dc.identifier.urihttp://rda.sliit.lk/handle/123456789/1129-
dc.description.abstractSri Lanka has a lengthy history as a tourist destination, but due to political and social forces, there have been numerous ups and downs. In Sri Lanka, the tourism industry is regarded as the third most important economic activity. As per the other countries in the world, Sri Lanka also facing the Covid19 pandemic situation, and the research team has identified several issues that need to be addressed immediately. When tourists visit Sri Lanka, some of them utilize package-based services provided by travel companies, whereas backpackers are independent budget travelers who book hotels, modes of transportation, meal plans, and destinations independently. Thus, ‘JESSY’, the intelligent travel assistant has been proposed with the intension to help independent travelers to travel around the country safely. Accordingly, the ‘JESSY’ is a collection of all the items that a traveler should carry with them every times. The main objective of the research team was to develop a mobile application which includes a leisure time planner, a trustworthy travel guide recommendation for booking, a virtual guide experience for travelers, a chatbot that offers automatic replies by analyzing and assessing data and information, utilities, resources, and safety. 'JESSY' is available for both Android and IOS operating systems.en_US
dc.language.isoenen_US
dc.publisher2021 3rd International Conference on Advancements in Computing (ICAC), SLIITen_US
dc.subjectTourism Industryen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectMachine Learningen_US
dc.subjectComputer Visionen_US
dc.subjectSentiment Analysisen_US
dc.subjectchatboten_US
dc.titleJESSY: An Intelligence Travel Assistanten_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ICAC54203.2021.9671229en_US
Appears in Collections:3rd International Conference on Advancements in Computing (ICAC) | 2021
Research Papers
Research Papers - Dept of Information of Management

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