MUMBAI, India, Sept. 7 -- Intellectual Property India has published a patent application (202641104426 A) filed by Dr. Rvr Nri Institute Of Technology Deemed To Be University; Ms. Patapanchala Meghana; Ms. Yeduresi Satvika; Mr. Jettiboina Hema Siva Rama Sundhar; Mr. Manda Yenosh Babu; Dr. J. Naga Surekha; and Dr. K. Rasool Reddy on August 31, 2026, for Ai-Based Personalized Cricket Coaching System.
Inventors include Ms. Patapanchala Meghana; Ms. Yeduresi Satvika; Mr. Jettiboina Hema Siva Rama Sundhar; Mr. Manda Yenosh Babu; Dr. J. Naga Surekha; and Dr. K. Rasool Reddy.
The application for the patent was published on September 04, 2026, under issue no. 36/2026.
Abstract: ABSTRACT The invention disclosed herein is an Artificial Intelligence (AI) Based Player Analysis and Coaching System for analyzing players performance against a particular opponent. The system is configured to process cricket performance data including records of balls bowled and faced, player's statistics, match circumstances and optionally video graphic data. The system is further configured to identify the target player and the opponent and determine at least one reference player with a successful performance against the same opponent. The system enables comparison of performance of the target player and the reference player(s) based on batting or bowling parameters. Wherein comparison of batting performance involves number of runs scored, strike rate, selection of shots, scoring patterns, dismissals, and responses to different lines and lengths, variations in pace and other bowling characteristics while comparison of bowling performance involves a line and length, variations, wickets, number of runs and response of batters to specific line and length and other bowling variations. The system further includes an artificial intelligence (AI) and Machine Learning (ML) system to analyze the comparison results and determine performance differences, techniques, skills, behaviors and tactical approaches to determine opponent specific recommendations to improve performance of the target player. The recommendations include selection of shots, specific batting or bowling recommendations, bowling line and lengths, variations and response to different bowling variations. The system includes a Graphical User Interface (GUI) to display comparison results, recommendations, summaries and visualizations. The system may perform iterative analysis and updates based on additional data set to improve performance of players, coaches and analyst
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