Published Paper Details:

In recent years, numerous efforts have been made to shorten the time needed for doing manual work by automating with the help of machine learning and Artificial Intelligence, which are related to postcard, making tables and many other aspects. Esports is growing at a rocket speed and tournaments are organised for which result of matches needs to be made to evaluate points of individual players or teams. Our research focuses on automating table making through feature extraction for which the model extracts the score of players from the screenshot of current most popular game in India, BGMI. We prepared the dataset related to the games having 400 screenshots from the players results. We extracted ROI from the screen shot using Yolo. Once we separate the needed part out, we utilize the OCR that is also based with YOLO. Once we get the needed digits from the image, we will get it as a table having 20 team's score. The project hence would be able to generated a result in 98.3% times the manual labor.