Browsing by Author "Ekanayake, U.M.I.S."

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Mobile Based Solution for Vehicle Assistance
(2021 3rd International Conference on Advancements in Computing (ICAC), SLIIT, 2021-12-09) Wickrama, M.A.D.; Dharmakeerthi, D.S.C.; Balasooriya, S.A.; Ekanayake, U.M.I.S.; Gamage, M.P.; Amarasena, N.
At 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.