An Artificial Intelligence Peer-To-Peer Car Repair Platform

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Abstract

Auto service industry is a very extensive field and there are many chances for utilizing technology in offering better services. In current model of service provider, finding the righteous place for repairing car can be a tedious job. In the Kingdom of Saudi Arabia, vehicle repairing becomes a challenging task since vehicle workshops are usually located in distant areas and randomly distributed. This can ravage customers’ time to find the right workshop, especially, with the increasing traffic and accidents in the Kingdom of Saudi Arabia. With smart phones applications, reporting and accepting services become easy and fast. Therefore, finding the best deal with transparent pricing is a desirable service. Time saving and preventing commercial fraud are among the goals of using such an application. The proposed system aims to enable the user to upload the image of the vehicle then, the image will be analyzed, and an estimate of repairing cost is given. The novelty in this application is grounded on a shared platform between customer and service provider with pricing estimate of service needed and the request is shared among the available shops. Liability and usability of the app was measured with error free application and 88% application usability survey. This system will contribute to the work of a strategy intended to improve business and customer satisfaction when it comes to vehicle repair processes.

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APA

Alluhaidan, A. S., Alzaid, L., Aldossari, D., Alhumid, R., & Alkadi, J. (2023). An Artificial Intelligence Peer-To-Peer Car Repair Platform. In Lecture Notes in Networks and Systems (Vol. 700 LNNS, pp. 169–177). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-33743-7_14

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