Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1143
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dc.contributor.authorWickrama, M.A.D.-
dc.contributor.authorDharmakeerthi, D.S.C.-
dc.contributor.authorBalasooriya, S.A.-
dc.contributor.authorEkanayake, U.M.I.S.-
dc.contributor.authorGamage, M.P.-
dc.contributor.authorAmarasena, N.-
dc.date.accessioned2022-02-14T08:01:56Z-
dc.date.available2022-02-14T08:01:56Z-
dc.date.issued2021-12-09-
dc.identifier.issn978-1-6654-0862-2/21-
dc.identifier.urihttp://rda.sliit.lk/handle/123456789/1143-
dc.description.abstractAt present majority of the people in Sri Lanka use private vehicles as their mode of transport. Vehicle breakdown is a main issue faced by the vehicle drivers onroad. But depending on the nature of the underlying reason of breakdown, some minor failures can be fixed by the users themselves if they have the basic knowledge, which the majority lacks. If the vehicles undergo a breakdown in a remote location, getting help or finding the required spare parts become a hindrance. In addition to that, vehicle owners need a platform to get a clear idea and comparisons of vehicle insurance companies and insurance packages. As a solution for the above concerns, authors decided to develop a mobile application to assist drivers with vehicle breakdowns and maintenance along with some extra functions. The suggested system's major functions include providing a personal assistant to aid with vehicle breakdowns, predicting upcoming vehicle maintenance procedures, providing trustworthy spare part pricing, and recommending the best insurance providers to customers. In order to develop the product several technologies and techniques including Natural Language Processing, Neural Networks, and Sentimental Analysis are used. Customers are extremely satisfied with the product's efficacy, according to the results of the survey.en_US
dc.language.isoenen_US
dc.publisher2021 3rd International Conference on Advancements in Computing (ICAC), SLIITen_US
dc.subjectvehicle maintenanceen_US
dc.subjectvehicle breakdownsen_US
dc.subjectvehicle insuranceen_US
dc.subjectspare partsen_US
dc.subjectmobile applicationen_US
dc.titleMobile Based Solution for Vehicle Assistanceen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ICAC54203.2021.9671196en_US
Appears in Collections:3rd International Conference on Advancements in Computing (ICAC) | 2021
Research Papers - IEEE
Research Papers - SLIIT Staff Publications
Research Publications -Dept of Information Technology

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