Car Price Prediction Using Machine Learning

Author(s)	Ms. Rajeshwari Hanmant Pawar, Ms. Sayli Sanjay Sande, Ms. Harshada kailas Shinde, Ms. Shreya Yogesh Patil
Country	India
Abstract	Car price prediction is an important application of machine learning in the automobile industry. The price of a vehicle depends on several parameters such as brand, model, year of manufacture, fuel type, seller type, transmission type, and the number of previous owners. Traditional methods of estimating car prices are often time-consuming and may not provide accurate results. With the advancement of machine learning techniques, it has become possible to predict car prices efficiently using historical data. This paper presents a machine learning-based car price prediction system that analyzes various vehicle features to estimate the price accurately. The system is implemented using Python and allows users to enter car details and obtain instant price predictions.
Keywords	Index Terms— Car Price Prediction, Machine Learning, Regression, Automobile Industry, Data Analysis
Field	Computer
Published In	Volume 8, Issue 2, March-April 2026
Published On	2026-04-12

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