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The Guardian artificial intelligence system for roadside assistance and vehicle maintenance

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dc.contributor.advisor Premaratne SC
dc.contributor.author Jayasuriya WGIF
dc.date.accessioned 2022
dc.date.available 2022
dc.date.issued 2022
dc.identifier.citation Jayasuriya, W.G.I.F. (2022). The Guardian artificial intelligence system for roadside assistance and vehicle maintenance [Master's theses, University of Moratuwa]. Institutional Repository University of Moratuwa. http://dl.lib.uom.lk/handle/123/20292
dc.identifier.uri http://dl.lib.uom.lk/handle/123/20292
dc.description.abstract Artificial intelligence for roadside assistance and vehicle maintenance system develops for users with less mechanical knowledge. The main scope of this system is to provide technical or non-technical information without delay when requested by system users. The system enables users to connect to the system using the shorts message system (SMS) feature. The system consists of 4 subsystems: the short message gateway, NLP (Natural Language Processing), Chat-bot and Database Handler. When a user sends a question to the system, it sends directly to the natural language processing module to understand what the user is requesting. If the NLP is unable to handle the problem, the system sends those requests to the Chat-bot, which can communicate with the users to handle ambiguous issues and provide solutions to the users’ problems. Existing systems for road assistance are more difficult in practice. They are more expensive to use, which means it costs more for the user to continue the service after the warranty period and they provide the service only to registered customers. Although service agents are almost always busy and need a high cell but a phone or other device to use those services. Hence, the shortcomings of existing systems lead to the development of an artificial intelligence system for roadside assistance. Furthermore, this research will help people doing research in the field of roadside assistance and also people who interest to perform their maintenance without the assistance of a third party. en_US
dc.language.iso en en_US
dc.subject ARTIFICIAL INTELLIGENCE SYSTEM en_US
dc.subject ROADSIDE ASSISTANCE en_US
dc.subject VEHICLE MAINTENANCE en_US
dc.subject VEHICLE BREAK DOWN en_US
dc.subject INFORMATION TECHNOLOGY- Dissertation en_US
dc.subject COMPUTER SCIENCE - Dissertation en_US
dc.title The Guardian artificial intelligence system for roadside assistance and vehicle maintenance en_US
dc.type Thesis-Abstract en_US
dc.identifier.faculty IT en_US
dc.identifier.degree Msc. in Information Technology en_US
dc.identifier.department Department of Information Technology en_US
dc.date.accept 2022
dc.identifier.accno TH4819 en_US


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