I will develop custom sports ai research using computer vision

This gig is designed for researchers, sports scientists, and innovators who need custom sports AI development beyond standard analytics. I build experimental systems using computer vision sports techniques, sports machine learning, and deep learning sports models.

I work with sports video analysis, object detection, player tracking, and pose estimation to explore novel metrics, experimental hypotheses, or prototype ideas. This includes motion analysis, action recognition, and athlete tracking for research-driven objectives.

Using YOLO sports, OpenCV sports, and modern AI frameworks, I develop transparent, well-documented pipelines suitable for academic research, R&D teams, or innovation labs. Player identification and optional face recognition can be included for longitudinal studies.

This service supports football analytics, basketball analytics, and interdisciplinary sports data science projects, producing reproducible sports statistics AI, evaluation metrics, and technical documentation.

If you need AI sports analysis for experimentation, validation, or proof-of-concept development rather than off-the-shelf solutions, this gig offers flexible, research-grade execution.