An AI sports trainer integrates advanced AI technologies, including large language models (LLMs), retrieval-augmented generation (RAG), convolutional neural networks (CNNs), and rule-based models, to deliver comprehensive analysis of athletic techniques. By tracking specific motion details—such as hand movement, hip rotation, leg positioning, and overall body alignment—it identifies technical inconsistencies and areas for improvement. CNNs enable in-depth visual analysis, while LLMs and RAG retrieve tailored guidance from vast training data, creating a system that offers highly personalized, sport-specific feedback. This AI-driven trainer enhances skill development and helps athletes reach peak performance with precision and efficiency.
11 Nov 2024
.png&w=640&q=75)
