Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/2016
Title: Moderate Automobile Accident Claim Process Automation Using Machine Learning
Authors: Imaam, F
Subasinghe, A
Kasthuriarachchi, H
Fernando, S
Haddela, P. S
Pemadasa, N
Keywords: Moderate
Machine Learning
Automobile
Automation
Accident Claim
Process Automation
Issue Date: 27-Jan-2021
Publisher: IEEE
Citation: F. Imaam, A. Subasinghe, H. Kasthuriarachchi, S. Fernando, P. Haddela and N. Pemadasa, "Moderate Automobile Accident Claim Process Automation Using Machine Learning," 2021 International Conference on Computer Communication and Informatics (ICCCI), 2021, pp. 1-6, doi: 10.1109/ICCCI50826.2021.9457017.
Series/Report no.: 2021 International Conference on Computer Communication and Informatics (ICCCI);Pages 1-6
Abstract: In modern-day, traditional automobile accident claim process struggles to keep up with the recurring automobile accidents and furthermore, the claim itself is a critical point in which the policyholder may decide to switch to a different automobile insurance provider. In this paper, the authors present a system which can be used to automate the processing of claims for automobiles which were involved in less severe accidents in a much quicker manner. The presented system comprises of four components, each with a model developed using computer vision or machine learning techniques to facilitate the automation process. The models are built and fine-tuned using transfer learning and ensemble learning techniques in order to determine the damaged component of the automobile, determine the make and model of the automobile, compute an accurate repair estimate and also compute the likeliness of the policyholder may churn, to ensure that the policyholder is satisfied with the appraised amount and will be retained by the insurance provider.
URI: http://rda.sliit.lk/handle/123456789/2016
ISSN: 2329-7190
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 
Moderate_Automobile_Accident_Claim_Process_Automation_Using_Machine_Learning.pdf
  Until 2050-12-31
1.89 MBAdobe PDFView/Open Request a copy


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