Intellectual Property India Publishes Patent Application for Ai-Driven Cricket Strategy Optimizer Using Machine Learning And Reinforcement Learning

MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202621094624 A) filed by Symbiosis International Deemed University on August 04, 2026, for Ai-Driven Cricket Strategy Optimizer Using Machine Learning And Reinforcement Learning.

Inventors include Tanay Kothari; Shrishti Duddawar; Atharva Masharkar; Dr. Nilesh Shelke; and Prof. Ankita Avthankar.

The application for the patent was published on September 25, 2026, under issue no. 39/2026.

Abstract: ABSTRACT AI-DRIVEN CRICKET STRATEGY OPTIMIZER USING MACHINE LEARNING AND REINFORCEMENT LEARNING The present invention discloses an AI-driven cricket strategy optimizer system (100) comprising a data ingestion and preprocessing module (110), a batting order predictor module (120) utilizing a Sequence-to-Sequence LSTM model (122) with a Genetic Algorithm optimizer (124), a powerplay bowling strategy module (130) employing a Deep Q- Network agent (132), a field placement recommender module (140) using Kernel Density Estimation (142) and K-Means Clustering (144), a chasing strategy assistant module (150) incorporating a Monte Carlo simulation engine (152) and a Dynamic Programming optimizer (154), and an over analysis dashboard (160). The system processes historical and real-time cricket match data to generate prescriptive tactical recommendations including optimal batting order, bowling deployment strategy, fielder placement coordinates, and over-by-over run targets, all presented through a unified real-time dashboard for competitive cricket team management. [

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