Efficient Player Prediction and Suggestion using Machine Learning for IPL Tournament

In the era of ML, the machine learning algorithms and mechanisms can be implemented in all fields. It has a wide range of applications, including image identification, speech recognition, and traffic prediction. It’s used to solve problems like prediction and categorization. Cricket is one of those never-ending wacky issues in everyday life. And one kind of cricket that Indians are particularly fond of is the IPL, or Indian Premier League, in which players compete for one of eight franchises named after Indian cities. The individual franchise owners will auction off players from all countries. This selection is made by various methods. We created a module in this project to analyze player performance in various matches and assign them to the eight IPL teams. For bowling and batting skills, the player’s performance was examined independently. The Random Forest Classification technique was used to select the teams. This algorithm is used to tackle problems involving regression and classification.