EVA
Event Virtual Administrator
Autonomous AI Chief of Staff for enterprise event operations.
EVA is designed to detect operational incidents, analyze impact, plan recovery, and brief organizers with structured decision support. The case study follows the same problem/solution/technology/impact structure documented in the submitted project material.
One-line incident summary, likely business impact, recommended recovery action, and owner routing.
Deterministic reasoning today; Gemini orchestration-ready for live AI execution.
The coordination gap in live events.
Large conferences involve complex coordination across speakers, sponsors, exhibitors, and venues. Incidents — cancellations, scheduling conflicts, sponsor issues — demand rapid, synchronized decisions that current platforms cannot support autonomously.
Manual incident management delays response when speed is critical.
Multiple teams require synchronized communication under pressure.
Operational disruptions directly degrade the attendee experience.
Large events generate hundreds of operational decisions difficult to coordinate manually.
EVA: autonomous decision intelligence.
EVA functions as a virtual Chief of Staff — a multi-agent AI platform where specialized agents collaborate to detect, analyze, plan, and resolve operational incidents, then brief organizers.
Capture the operational signal, classify the issue, and open a structured response path.
Assess stakeholder impact, constraints, urgency, and likely downstream effects.
Generate a recovery path that balances speed, coordination, and operational realism.
Produce a concise executive brief and coordinate the next action.
EVA replaces reactive manual coordination with structured, autonomous decision-making — reducing recovery time and improving operational consistency.
Architecture & capabilities.
Architected for Google Gemini 2.5 Flash. The submitted prototype uses deterministic reasoning with representative event scenarios — ensuring a stable demonstration while preserving the architecture for live LLM orchestration.
Impact, challenges & roadmap.
Designing a reliable multi-agent decision-making workflow within hackathon time constraints. The submitted version uses deterministic reasoning with a production-ready architecture for future live LLM integration.
Live prototype & source code.
EVA is available as a live, interactive prototype. The demo showcases incident detection, impact analysis, recovery planning, executive briefings, and operational dashboards.
EVA is an autonomous AI-powered event operations platform that helps conference organizers respond to operational incidents through structured multi-agent reasoning. The prototype demonstrates incident detection, impact analysis, recovery planning, executive briefings, and operational dashboards using a deterministic AI workflow designed for future live LLM integration.
EVA is architected for Gemini, but demonstrated safely with deterministic scenarios.
The submitted prototype demonstrates representative AI reasoning using structured scenarios — preserving the architecture for live LLM orchestration.
Deterministic reasoning is clearly stated — no overclaiming.
Live LLM integration is a defined next step, not a gap.
Stable, representative scenarios ensure a reliable demo.