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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREMWP6047

Car Price Prediction with Online Buying and Selling System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREMWP6047

Volume:

6 |

6 |

Jun 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

OD

Onkar Deshmukh

SS

Salman Shaikh

OA

Onkar Antad

RG

Rushikesh Gaikwad

NK

Nikhil Koli

SB

S.S. Bhuite

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Abstract

The main aim of this project is to create a Web application that is helpful while selling cars, buying cars and predicting car price. In the existing System it is difficult to maintain the car information individually and to supply for the customers who are eager to buy and sell them. Customer has to face difficulty in order to know the information of car like manufacturing year, car model and other valuable information in a single domain. Our main idea is to develop a system where we can have all the required information for the user in order to effectively interest him in the process of buying, selling and predicting a car. In the Proposed System, Web application can maintain car details like manufacturer, year of manufacturing, price and model etc. We can also view all the car details which are kept for sale effectively and we can search for our desired car. With this Customer can get the information quickly like car details which have been entered clearly. This application mainly consists of 5 modules: user module, admin module, dealer module, viewing all cars module, adding cars module.

KEYWORDS

HTML-5 CSS-3 JAVA-SCRIPT DJANGO ML MY-SQL

Cite This Article

Onkar Deshmukh, Salman Shaikh, Onkar Antad, Rushikesh Gaikwad, Nikhil Koli, S.S. Bhuite, "Car Price Prediction with Online Buying and Selling System," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 6, Jun 2022.

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Publication Date

6/27/2022

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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