Praveen Suri joined this platform for several reasons.The main thing was to reinforce with the government & sports body to understand and adopt wider application of AI in practice. The 65-year-old ex director of sports authority of India believes, we will be dealing with lot improvised competition in sports if we have not already seen the marks of it. We need to adopt and lead the race.

Artificial intelligence (AI) has the potential to significantly contribute to the development of better sportspersons in several ways. Here are some ways in which AI can assist in building better athletes:

1. Performance analysis: AI can analyze large volumes of sports-related data, including player statistics, match videos, and training data, to identify patterns, trends, and areas for improvement. By examining an athlete’s performance in detail, AI systems can provide valuable insights into their strengths, weaknesses, and areas where they need to focus on to enhance their skills.

2. Training optimization: AI-powered systems can create personalized training programs tailored to an individual athlete’s needs. By considering factors such as the athlete’s performance data, physiological characteristics, and injury history, AI algorithms can design training routines that maximize effectiveness and minimize the risk of injuries. AI can also provide real-time feedback during training sessions, helping athletes refine their techniques and make necessary adjustments.

3. Injury prevention: AI can play a crucial role in identifying and preventing sports injuries. By analyzing data from wearable devices, such as heart rate monitors, accelerometers, and GPS trackers, AI algorithms can detect patterns indicative of overexertion, fatigue, or potential injury risks. Coaches and medical staff can then intervene and adjust training plans accordingly, reducing the likelihood of injuries and enabling athletes to perform at their best.

4. Game strategy and decision-making: AI can assist coaches and athletes in analyzing opponents’ tactics, game strategies, and player performance. By processing vast amounts of data from previous matches and scouting reports, AI algorithms can provide valuable insights into opponents’ strengths, weaknesses, and patterns of play. This information can help athletes and coaches devise effective strategies and make better decisions during games.

5. Virtual reality (VR) and simulation: AI, combined with virtual reality and simulation technologies, can create realistic training environments for athletes. By immersing athletes in virtual scenarios that mimic real-game situations, AI systems can help them practice decision-making, reaction times, and tactical skills. This can be particularly useful for team sports, where athletes can simulate game scenarios and practice their teamwork and coordination.

6. Injury rehabilitation: AI can aid in the rehabilitation process for injured athletes. By analyzing data from various sources, such as medical records, wearable devices, and motion-capture systems, AI algorithms can monitor an athlete’s progress and provide personalized rehabilitation programs. AI can also assist in tracking recovery timelines, adjusting therapy sessions, and offering recommendations for a safe return to training and competition.

It’s important to note that while AI has significant potential to enhance athletic performance, human expertise, coaching, and physical training remain essential components in developing better sportspersons. AI should be viewed as a supportive tool that complements the skills and knowledge of athletes and coaches, rather than a replacement for human involvement in sports.