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AI-Powered Football Talent Discovery for Underserved Regions
Core trick
Routes a natural-language player description through a four-step agent pipeline that benchmarks stats and drafts multilingual reports.
Description
AI-Powered Football Talent Discovery for Underserved Regions
README excerpt
# Ghost Scout > AI-powered football talent discovery for underserved regions ## Stack - **GMI Cloud** — NVIDIA H100/H200 inference via OpenAI-compatible API - **Google Gemini** — multilingual report generation (10+ languages) - **RocketRide** — agent pipeline orchestration - **Next.js 14** — frontend + streaming API ## How it works 1. Scout describes a player in natural language 2. RocketRide orchestrates a 4-step pipeline 3. GMI Cloud benchmarks stats + finds player comps 4. Gemini generates a formal scouting report + translates it 5. Output: professional PDF-ready report + academy email draft ## Setup ```bash npm install cp .env.local.example .env.local # Add your GMI_API_KEY and GEMINI_API_KEY npm run dev ``` See [`ghost-scout/README.md`](./ghost-scout/README.md) for full setup and run instructions. ## Environment Variables | Variable | Description | |---|---| | `GMI_API_KEY` | Your GMI Cloud API key | | `GMI_BASE_URL` | GMI Cloud base URL (default: `https://api.gmi-serving.com/v1`) | | `GEMINI_API_KEY` | Your Google AI Studio API key | | `ROCKETRIDE_API_KEY` | Your RocketRide API key | ## Running Tests ```bash npm test ``` ## Built at GMI Cloud × Google I/O × RocketRide Hackathon, May 2026