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International Journal of Science, Strategic Management and Technology

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ISSN: 3108-1762 (Online)
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IMPLICATION OF ARTIFICIAL INTELLIGENCE FOR SPORTS TRAINING AND PERFORMANCE FOR THE DEVELOPMENT OF SPORTS IN INDIA

AUTHORS:
Alok Kumar Arya
Mentor
Prof. MOHD. Tariq
Affiliation
Department of Physical Education University of Lucknow, Lucknow
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
The rapid growth of Artificial Intelligence (AI) has created new possibilities for the field of  sports, especially in a developing and diverse nation like India. AI is transforming how athletes train, how coaches make decisions, and how sports organizations plan long-term development programs. This abstract explains the major implications of AI for improving sports training and athletic performance, and how these technological changes can support the overall development of the sports sector in India. The purpose is to provide a clear, simple, and human-friendly explanation of how AI can help Indian athletes compete at global standards while also strengthening grassroots sports.

AI technologies such as motion analysis, wearable sensors, virtual reality (VR), machine learning–based coaching, and predictive performance analytics now allow coaches and athletes to understand physical movements more accurately than ever before. These tools help identify mistakes, reduce injury risks, and create personalized training plans that match each athlete’s strengths and weaknesses. In Indian sports, where access to expert coaching is often limited, AI-based tools can bring high-quality training to rural and semi-urban regions through mobile applications and cloud platforms. As a result, AI has the power to reduce inequality in sports training and promote equal opportunities for talent across the country.
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Arya, A. K. (2026). Implication of Artificial Intelligence for Sports Training and Performance for the Development of Sports in India. International Journal of Science, Strategic Management and Technology, 02(6). https://doi.org/10.55041/ijsmt.v2i6.073

Arya, Alok. "Implication of Artificial Intelligence for Sports Training and Performance for the Development of Sports in India." International Journal of Science, Strategic Management and Technology, vol. 02, no. 6, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i6.073.

Arya, Alok. "Implication of Artificial Intelligence for Sports Training and Performance for the Development of Sports in India." International Journal of Science, Strategic Management and Technology 02, no. 6 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i6.073.

References

  1. Chidambaram, S., et al. “Using Artificial Intelligence–Enhanced Sensing and Wearable Technology in Sports Medicine and Performance Optimisation.” Journal of Sports Medicine & Allied Health Sciences, 2022.

  2. https://pmc.ncbi.nlm.nih.gov/articles/PMC9502817/

  3. Muñoz-Macho, A. A., and M. J. Domínguez-Morales. “Performance and Healthcare Analysis in Elite Sports Teams Using Artificial Intelligence.” Frontiers in Sports and Active Living, 2024.

  4. https://www.frontiersin.org/articles/10.3389/fspor.2024.1383723/full

  5. Souaifi, Marouen, et al. “Artificial Intelligence in Sports Biomechanics.” Bioengineering, 2025.

  6. https://pmc.ncbi.nlm.nih.gov/articles/PMC12383302/

  7. Van Eetvelde, H., et al. “Machine Learning Methods in Sport Injury Prediction and Prevention.” sJournal of Sports Sciences, 2021.

  8. https://pmc.ncbi.nlm.nih.gov/articles/PMC8046881/

  9. Sports Authority of India. “National Centres of Excellence.” https://sportsauthorityofindia.nic.in/sai/ncoe

  10. Khelo India. “Expression of Interest — Fit India.” https://kheloindia.gov.in/uploads/Expression%20of%20Interest-Fit%20India.pdf

  11. Raghav, A. “Sports Analytics in Cricket — Predicting Outcomes Using Deep Learning.”

  12. https://ictactjournals.in/paper/IJDSML_Vol_6_Iss_3_Paper_2_808_815.pdf

Ethics and Compliance
✓ All ethical standards met
This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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