Document Type
Poster
Publication Date
Fall 2024
Abstract
This project focuses on developing a data-driven Agentic Framework for player scouting, tailored to optimize cricket team selection. By integrating performance metrics with insights into evolving T20 cricket rules, the framework evaluates players based on their fitness, popularity, and on-field impact. These tools will empower leagues with limited resources to make informed scouting decisions, democratizing player evaluation and fostering equitable opportunities in cricket.
Recommended Citation
Nadeem, Muhammad Ibraheem, "AI Agentic Framework for Data-Driven Cricket Player Scouting" (2024). IPHS 391: Interdisciplinary AI Frontiers. Paper 5.
https://digital.kenyon.edu/dh_iphs_391/5
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.