The Framework of Car Price Prediction and Damage Detection Technique

Authors

  • Muhammad Kashif Shaikh Sir Syed University of Engineering and Technology, Karachi
  • Hassan Zaki Department of Software Engineering, Sir Syed University of Engineering & Technology, Karachi, Pakistan
  • Muhammad Tahir Department of Software Engineering, Sir Syed University of Engineering & Technology, Karachi, Pakistan
  • Muhammad Ahmed Khan Department of Computer Engineering, Sir Syed University of Engineering & Technology, Karachi, Pakistan
  • Osama Ahmed Siddiqui Department of Computer Engineering, Sir Syed University of Engineering & Technology, Karachi, Pakistan
  • Inam Ur Rahim Vice President, IT Department, JS Bank Limited, Karachi, Pakistan

DOI:

https://doi.org/10.51846/vol5iss4pp52-59

Keywords:

Price Prediction, Used cars, Regression Model, Convolutional Neural Network

Abstract

In this paper, the research area has always been car price forecasting. We demonstrate that using the proposed object detection method, the type of damage can be categorized into two classes with good accuracy damaged and undamaged. So, when we discovered these issues, we decided to develop a mobile application called Car Price Prediction, which allows users to anticipate the price of a used car. So, we trained the damage identification model using our data using a state-of-the-art image detection method convolutional neural network and evaluated the accuracy on a GPU server and a smartphone.

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Published

2022-12-29

How to Cite

[1]
M. K. Shaikh, H. Zaki, M. Tahir, M. A. Khan, O. A. Siddiqui, and I. U. Rahim, “The Framework of Car Price Prediction and Damage Detection Technique”, PakJET, vol. 5, no. 4, pp. 52–59, Dec. 2022.

Issue

Vol. 5 No. 4 (2022): Pakistan Journal of Engineering and Technology

Section

Research Articles

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