Henco Gersbach@Henco

Football is the world's biggest sport, but professional analysis is still reserved for big clubs with dedicated infrastructure. Millions of grassroots teams have incredible talent. Scout AI changes that. Upload a single match recording with a smartphone and receive professional football analytics, tactical insights, and player reports in minutes. Scout AI uses a real computer vision pipeline. Players and the ball are detected using a football-specific Roboflow model. ByteTrack follows every player throughout the match. Teams are automatically identified by shirt colour. From this tracking data we calculate possession, passing networks, momentum, pass accuracy, player ratings, and tactical insights. Every statistic is backed by computer vision. The platform runs on AMD Developer Cloud using ROCm-enabled GPUs for computer vision processing. Fireworks AI generates the tactical reports. The application is built with FastAPI, Next.js, SQLite, Docker Compose, Roboflow, and ByteTrack, allowing the same codebase to run locally, in CI, and on AMD cloud infrastructure. Scout AI was developed and tested on real match recordings instead of curated broadcast footage to ensure reliable performance in real-world conditions. Our mission is simple. Make professional football intelligence accessible to every team with nothing more than a smartphone.

To participate in the hackathon, simply click Sign up with AMD. If you are not already a member of the AMD AI Developer Program (ADP), you will need to create an account. ADP members can access AI tutorials, experts, and community support. In addition, new members can claim a free month of DeepLearning.ai pro, $100 in AMD GPU cloud credits, and $50 in Fireworks AI API credits. All hackathon participants will receive on hackathon launch additional compute and API credits for their projects. Ready to build what's next on AMD? Sign up with AMD below to secure your spot.