ScoutMind AI

• Next.js
• React
• TypeScript
• Python
• FastAPI
• PostgreSQL
• PyTorch
• YOLO / Ultralytics
• OpenCV
• BoT-SORT
• Kalman Filtering
• ReID Embeddings
• Homography Calibration
• OCR
• AWS (EC2, ECS, S3, SQS, RDS)
• Docker
• Cloudflare

UK sports-tech SaaS that turns raw football footage into structured player, team and match intelligence for scouts and analysts. Upload a full match and the platform returns per-player tracking, team shape and tactical analysis mapped onto real pitch coordinates — usable data, not a video with boxes drawn on it. A 20-stage computer-vision pipeline handles player and ball detection, multi-object tracking, identity resolution across the whole match and pitch calibration; an LLM layer then turns that validated output into scouting reports and tactical observations in plain language, constrained to verified system evidence rather than raw model predictions. Because analysts have to trust what they act on, a human-in-the-loop workflow lets them correct any output and regenerate everything downstream of it. Full-length matches process asynchronously with checkpoints and resumable jobs, so a long run recovers from failure without restarting, and evaluation harnesses catch tracking and classification regressions as the pipeline evolves. Next.js, React and TypeScript on the front, Python and FastAPI services behind, with PostgreSQL, object storage, queues and GPU workloads on AWS.

The existing implementation includes staged video processing, tracking, review workflows and application infrastructure. Evaluation tooling is implemented, but this case study does not report experimentally validated performance because no reproducible benchmark evidence is included here. Tracking quality, identity resolution and tactical interpretation continue to be developed and evaluated; unreleased capabilities are not presented as production-ready. No independently verified accuracy, scale or match-wide reliability figures are claimed here; availability and results depend on footage and the current product release.