@samiun123385

TactIntentNet is the first open-source system to decode football tactical intent from player freeze-frames using a causal graph neural network (GATv2). It computes an Opponent Tactical Deviation Score (OTDS) via Gaussian Mixture Models, detects real-time tactical shifts, and surfaces plain-English coaching alerts through a Qwen 2.5 1.5B LLM. The interactive demo features 5 integrated views: live intent feed, deviation timeline with side-by-side comparison, counterfactual explorer, causal attention graph with AI assistant, and exportable match reports. The entire pipeline runs on a single AMD Instinct MI300X with 192GB HBM3 unified memory, achieving ~12ms inference latency at 80 fps via ROCm 6.2 and PyTorch Geometric.

Grab your ideas, spin up compute, and start building what’s next! Start with $100 in AMD Developer Cloud credits and begin building right away. Get access to hands-on tutorials, workshops, and curated learning resources to help you build faster and go further. To unlock credits and join the hackathon, sign up for the AMD AI Developer Program. 🤝 Go solo or team up — ship something real. 💰 $21,500+ total prize pool & 1 × AMD Radeon™ AI PRO R9700 GPU up for grabs. 📍 On-site Venue (May 9-10): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 📍On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑‍💻 Developers, builders, and innovators - bring your boldest ideas and let’s turn them into real AI systems on AMD.