Effective Performance Prognostication of Cars using Machine Learning

Machine learning is becoming increasingly important in different sectors of the digital world. This study has developed a prediction method to detect the performance level of automobiles using machine learning. To increase the vehicle performance efficiency, it is critical to analyze the elements by utilizing several well-known machine learning algorithms such as linear regression, decision tree, and random forest. The primary objective of this research study is to predict the vehicle performance in order to enhance specific vehicle characteristics. This can considerably reduce fuel usage and boost efficiency of the proposed system. These are the elements that may be used to predict the health of a vehicle. This study has developed a machine learning model called “Car Performance Prediction” to forecast a car’s mileage. While the existing system makes use of acceleration capacity and measured equipment to measure the overall car performance to predict the result by using the physical equipment called Dynamometer to get the results, the proposed system automatically forecasts the performance of a car by using existing datasets and algorithms.