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Empowering Athletes with AI and Blockchain: A New Era of Personalized Training, Secure Data Management, and User Engagement
  • Oliver Bodemer
Oliver Bodemer
Oliver Bodemer

Corresponding Author:[email protected]

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Abstract

The convergence of blockchain technology and artificial intelligence (AI) in sports applications presents a revolutionary approach to enhancing sports experiences, optimizing performance, and personalizing user interactions. This article offers an in-depth review of the applications, algorithms, challenges, and future directions of blockchain and AI in sports applications. We delve into the use of AI algorithms and blockchain technology in sports apps to create secure, transparent platforms for transactions, analyze performance data, provide personalized insights, and foster fan engagement. The article scrutinizes the scientific underpinnings of blockchain and AI-enhanced sports apps, discussing the personalization of user experiences, performance analysis using AI and blockchain-powered tools, fan engagement strategies, ethical implications and data privacy, case studies and empirical evidence, challenges, and recommendations for further research. We underscore the potential of blockchain and AI in revolutionizing sports apps, offering tailored experiences, and optimizing user engagement. The article concludes by pinpointing areas for future research, including advanced data analytics, explainable AI models, ethical considerations, collaboration, longitudinal studies, optimization of user experiences, human-AI interaction, and generalization to diverse populations. By exploring these research avenues, the field of blockchain and AI-enhanced sports applications can continue to evolve, supporting fans, athletes, and coaches in achieving their goals and unlocking new dimensions of sports experiences.