Develop a System to Predict the Price of Used Car Using ML

Abstract

The price of a vehicle is determined by the manufacturer, compiling all the taxes by the government and not everyone can afford it so the people look for some Less costly alternatives that are-used car and this helps to build a large used car market but due to the price irregularities this market is going through lots of problem so by using machine learning to develop a new model that will predict the price and help consume to buy the used car at a perfect, reasonable and trusted price. This research paper is the combination of datasets that have been collected by the Quickrcar.com and ML will be used to predict the price of a used car by creating a model using python, flask and HTML and Linear Regression and Lasso Regression will be used.

Country : India

1 Shubham Mukharjee2 Mohit Patil3 Shriraj Patil4 Omkar Sonawane5 Prof. Bhushan Karamkar

  1. Student, Dept. of Automobile Engineering, Dhole Patil College of Engineering, Pune, Maharashtra, India
  2. Student, Dept. of Automobile Engineering, Dhole Patil College of Engineering, Pune, Maharashtra, India
  3. Student, Dept. of Automobile Engineering, Dhole Patil College of Engineering, Pune, Maharashtra, India
  4. Student, Dept. of Automobile Engineering, Dhole Patil College of Engineering, Pune, Maharashtra, India
  5. Professor, Dept. of Automobile Engineering, Dhole Patil College of Engineering, Pune, Maharashtra, India

IRJIET, Volume 7, Issue 2, February 2023 pp. 98-100

doi.org/10.47001/IRJIET/2023.702015

References

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  2. Gegic, Enis, Becir Isakovic, Dino Keco, Zerina Masetic, and Jasmin Kevric. ‘Car price prediction using machine learning techniques,’TEM Journal 8, no. 1 (2019): 113.
  3. Noor, Kanwal, and Sadaqat Jan. ‘Vehicle price prediction system using machine learning technique,’ International Journal of Computer Applications 167, no. 9 (2017): 27-31.