Nashik Researcher Develops AI Framework to Bring Advanced Sports Analytics to Grassroots Sport

AI researcher Siddhesh Manoj Sangle has introduced the CoDI-SA framework to democratize high-level performance data for non-elite athletic organizations. Presented at the ICICDS 2026 conference, the research focuses on explainable artificial intelligence and multimodal data fusion to help coaches interpret tactical data more effectively. This development marks a significant shift in the sports analytics sector by targeting the underserved grassroots market, including schools and local academies, with affordable and scalable decision-support tools.

Siddhesh Manoj Sangle, a researcher from Nashik, is bridging the gap between elite professional sports technology and grassroots athletics through his work in contextual decision intelligence. At the IEEE-affiliated ICICDS 2026 international conference in Thailand, Sangle debuted the CoDI-SA (Contextual Decision Intelligence for Sports Analytics) framework, a next-generation architecture designed to integrate explainable AI and multimodal data fusion. The system aims to provide scalable decision-support systems that allow coaches to not only see performance metrics but understand the underlying tactical reasons behind the data, addressing a common limitation in current commercial analytics platforms where the "why" behind tactical decisions is often missing.

The initiative specifically targets the financial and technical barriers that have historically restricted advanced analytics to professional clubs with significant budgets. Sangle is currently developing an AI-driven platform that utilizes his research to provide affordable tools for schools, community sports programs, and emerging athletes. By focusing on explainable systems, the technology ensures that AI-generated recommendations are transparent and understandable for coaches who may not have specialized data science backgrounds, which Sangle identifies as a critical factor for the wider adoption of artificial intelligence across all levels of sport.

Sangle’s contributions have earned him international recognition, including an invitation to serve as a Session Chair at the IEEE ICOSAAS 2026 conference in Bali, Indonesia, where he will lead technical sessions and evaluate global research. Industry experts suggest that the integration of such AI frameworks could fundamentally reshape player development and tactical planning over the next decade. By prioritizing usability and accessibility, Sangle’s work seeks to ensure that the benefits of intelligent performance analysis reach beyond the top tier of competition, potentially leveling the playing field for athletes at every level of the game.