Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Esports has grown from a niche hobby into a major entertainment force, bringing fresh challenges and new creative opportunities. AI, especially with models tuned to specific games, is beginning to shape content that feels alive in the moment and keeps viewers genuinely interested. In this review, we explore how AI is currently being used in esports — from recognizing in-game visuals to making sense of context and pulling out the best moments. We look at leading methods, outline a working model, and compare results across popular game genres. There’s been solid progress, but challenges like merging different data sources, handling real-time demands, and being open about how things work are still hard to solve. Moving forward, what matters most is broader adaptability, better clarity, and designing AI with people in mind. This review helps researchers and creators explore that evolving space.
"AI-Based Content Generation for Esports Using Game-Specific Computer Vision Models", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 7, page no.b251-b262, July-2025, Available :http://www.ijrti.org/papers/IJRTI2507137.pdf
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000396
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator