In recent years, numerous sports have received significant attention and appeal. In the height of the current epidemic, the unavailability of any athletic events had left a significant number of people yearning to observe some game being played. Cricket is arguably the most popular sport in India, with millions of followers who watch the games obsessively. Fans are enthralled by the game and conduct in-depth analyses of the individual players and their abilities, particularly their shot choices. With the growth of fantasy leagues as well as other similar services, there is a growing interest in evaluating individuals who are playing well so that they may be selected for their teams. The manual procedure of batter shot recognition is amongst the most time-consuming and labor-intensive processes that might be automated. As a result, this study provides a successful cricket shot assessment approach that makes use of deep learning in the form of Convolutional Neural Networks to fulfill its objectives
₹10000 (INR)
NON IEEE -2022