Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/801
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSamarasinghe, H. T. D-
dc.contributor.authorHerath, N. A. D. M-
dc.contributor.authorDabare, H. S. S-
dc.contributor.authorGamaarachchi, Y. R-
dc.contributor.authorPulasinghe, K-
dc.contributor.authorYapa, P-
dc.date.accessioned2022-01-28T03:09:38Z-
dc.date.available2022-01-28T03:09:38Z-
dc.date.issued2021-04-02-
dc.identifier.citationH. T. D. Samarasinghe, N. A. D. M. Herath, H. S. S. Dabare, Y. R. Gamaarachchi, K. Pulasinghe and P. Yapa, "Vehicle Insurance Policy Document Summarizer, AI Insurance Agent and On-The-Spot Claimer," 2021 6th International Conference for Convergence in Technology (I2CT), 2021, pp. 1-6, doi: 10.1109/I2CT51068.2021.9418137.en_US
dc.identifier.isbn978-1-7281-8876-8-
dc.identifier.urihttp://localhost:80/handle/123456789/801-
dc.description.abstractThis paper proposes an automated vehicle insurance policy summarizing application. “Explain to Me” is one such software/tool which enable you to summarize the content of documents regarding vehicle insurance policies by using the NLP, machine learning and deep learning applications. The program targets mainly insurance users and suppliers of insurance services. Due to the increase of vehicle accidents, the vehicle insurance industry has gained more popularity currently. Therefore, different insurance companies have introduced a variety of insurance policies to customers. Vehicle insurance policy documents consist lot of insurance terms that should be read with more attention. As the main objective, this system filters unnecessary data in the particular document, and finalize a summary as the output. As another major component, the application “On the spot claimer” which is never before in Sri Lankan vehicle insurance industry, is another major part of this project that works as suggesting the most relevant insurance claiming that can be claimed by the user after detection of the type of damage through mobile phone camera. Another part of this research project, the function known as the Recommender, which works along with the summarization tool, is a recommendation system with a view of recommending more favorable rules for the assertion of alternatives that exist in the corresponding, equivalent documents of other companies. Finally, in order to interact with custody concerns about how to insure an automobile, CNN, which are based on the extraction of images, are used for the implementation of the ETM system in NLP.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2021 6th International Conference for Convergence in Technology (I2CT);Pages 1-6-
dc.subjectConvolutional Neural Networken_US
dc.subjectNaturalen_US
dc.subjectlanguage processingen_US
dc.subjectNeural modelen_US
dc.subjectStochastic Gradient Descenten_US
dc.titleVehicle Insurance Policy Document Summarizer, AI Insurance Agent and On-The-Spot Claimeren_US
dc.typeArticleen_US
dc.identifier.doi10.1109/I2CT51068.2021.9418137en_US
Appears in Collections:Department of Information Technology-Scopes
Research Papers - IEEE
Research Papers - SLIIT Staff Publications
Research Publications -Dept of Information Technology

Files in This Item:
File Description SizeFormat 
Vehicle_Insurance_Policy_Document_Summarizer_AI_Insurance_Agent_and_On-The-Spot_Claimer.pdf
  Until 2050-12-31
818.31 kBAdobe PDFView/Open Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.