May 3, 2026

StadiuMBites

python gemini 1.5 flash

Project Purpose: The "Stadium Brain"

The purpose of StadiumBites is to transform the chaotic stadium food experience into a streamlined, data-driven journey. Using an agentic AI approach, the project moves beyond a simple menu app to act as a proactive Stadium Coordinator. By integrating Gemini 1.5 Flash, the system reasons through real-time variables—such as hygiene ratings, crowd congestion, and prep times—to provide fans with "Live Intel".

Core Goals

  • Real-Time Reasoning: To leverage generative AI to analyze live stadium metrics and offer actionable advice, such as identifying the fastest stall during a 10-minute halftime break.

  • Safety & Quality Assurance: To prioritize fan well-being by highlighting stalls with high hygiene scores (e.g., 98% ratings) and synthesizing user reviews into "vibe summaries".

  • Operational Efficiency: To reduce terminal congestion at specific gates (like the identified Gate 4 bottlenecks) by intelligently redirecting foot traffic to underutilized food stalls.

  • Scalable Tech Integration: To demonstrate a robust, full-stack deployment using FastAPI, the google-genai SDK, and CORS-managed communication between a hosted backend and frontend.

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