• D Satya Narayana
• M Sridhar Sarma
• Dr. A Satyanarayana
• D H S Kumar

Artiicial intelligence (AI) in sports training has become a vital tool or enhancing player perormance, optimizing training methods, and giving coaches and athletes personalized data. This research paper provides a comprehensive analysis o AI applications, techniques, issues, and prospects or enhancing individualized sports training in the uture. It delves at how AI algorithms, including computer vision, deep learning, and machine learning, are used in sports apps to create training plans, evaluate athletes, give eedback, predict injury risks, and enhance training methods. The scientiic underpinnings o AI-enhanced sports training are investigated, including customization, perormance analysis, injury prevention, and ethical issues or user experience and interace design. Case studies and empirical evidence show that AI has the ability to revolutionize athlete training approaches and perormance outcomes. The report also suggests potential research topics, such as enhanced data analytics, ethical AI models, human-AI interaction, and greater application across varied athlete groups. The paper seeks to assist urther progress in AI-enhanced sports training by addressing various research pathways, allowing athletes and coaches to uncover new aspects o perormance improvement. Two core research questions on the expectations and advantages o using AI in sports apps are suggested, which will be addressed through technical descriptions, case studies, and decisive analyses, using a qualitative research methodology or unbiased and complete investigation.

INCORPORATING ARTIICIAL INTELLIGENCE INTO SPORTS TRAINING

"INCORPORATING ARTIICIAL INTELLIGENCE INTO SPORTS TRAINING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 12, page no.137-154, December-2023, Available :http://www.jetir.org/papers/JETIRGA06016.pdf

"INCORPORATING ARTIICIAL INTELLIGENCE INTO SPORTS TRAINING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 12, page no. pp137-154, December-2023, Available at : http://www.jetir.org/papers/JETIRGA06016.pdf