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Grand Prize

Globot

Multi-Agents. 2M-token compliance analysis. Satellite imagery risk detection. Globot turns sudden supply chain chaos into confident decisions in 60 seconds.

Core trick

Gemini vision reads satellite imagery for port congestion, and a red-team agent challenges each routing decision before it is applied.

Tags

Built with

chromadbclerkcrewaideck.glfastapigemini-3-flashgemini-embeddingsgemini-visionpythonreactsqlitetypescriptvitewebsocket

Description

Inspiration On a Friday at 4:55 PM, the Red Sea crisis erupts. You're responsible for $50 million in cargo, drowning in Excel spreadsheets while Reuters updates flood in. Your boss is yelling. What do you do? This scenario inspired Globot — an Agentic AI system that transforms reactive crisis management into proactive defense . What it does Globot is a 5-Agent AI Reasoning Engine powered by Gemini 3 that: 🔭 Market Sentinel : Monitors geopolitical signals from Reuters/Bloomberg in real-time 🛡️ Risk Hedger : Calculates financial impact of route changes (fuel costs +$180K, freight volatility) 🚢 Logistics Orchestrator : Automatically replans shipping routes to avoid conflict zones 📋 Compliance Manager : Analyzes 500-page insurance policies using Gemini's 2M token context window ⚖️ Adversarial Debate : Red-team tests every decision to prevent AI hallucinations Key Innovation : We use Gemini Vision to analyze satellite imagery, detecting port congestion and canal blockages 6 hours before official announcements. How we built it Backend : Python + FastAPI + CrewAI (Multi-Agent Orchestration) Frontend : React + TypeScript + Deck.gl (3D Globe Visualization) AI : Gemini 3 Flash (Reasoning) + Gemini Vision (Satellite Analysis) + Gemini Embeddings (RAG) Auth : Clerk (Enterprise-grade authentication) Database : SQLite + ChromaDB (Vector Store) Challenges we ran into aiohttp Compatibility : Python 3.13 introduced breaking changes; we implemented monkey patches to maintain CrewAI compatibility Long Context Window : Feeding 500-page legal documents required careful prompt engineering Multimodal Reasoning : Getting Gemini Vision to output structured risk assessments from satellite images Accomplishments we're proud of Visual Risk Intelligence : First supply chain AI to use satellite imagery for early warning Explainable AI : Every decision shows a transparent Chain-of-Thought reasoning process Human-in-the-Loop : All critical decisions require human approval — responsible AI in action What we learned Gemini's multimodal capabilities enable use cases impossible with text-only models Long context windows unlock enterprise document understanding Multi-agent systems are more robust than single-model approaches What's next for Globot Integration with Bloomberg Terminal API for live market data MarineTraffic API for real-time AIS ship tracking Sentinel-2 Satellite API for automated port monitoring Expansion to air freight and rail logistics
Vector897/Globot★ 3217 forksPythonMITCreated Jan 11, 2026 · last push Oct 21, 2026

README excerpt

# Globot

[![Gemini 3 Hackathon — Grand Prize](https://img.shields.io/badge/Gemini%203%20Hackathon-%F0%9F%8F%86%20Grand%20Prize-F5A623.svg)](docs/assets/award-gemini3-grand-prize.png)
[![Stars](https://img.shields.io/github/stars/Vector897/Globot?style=flat&color=yellow)](https://github.com/Vector897/Globot/stargazers)
[![Forks](https://img.shields.io/github/forks/Vector897/Globot?style=flat&color=blue)](https://github.com/Vector897/Globot/network/members)
[![CI](https://github.com/Vector897/Globot/actions/workflows/ci.yml/badge.svg)](https://github.com/Vector897/Globot/actions/workflows/ci.yml)
[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](LICENSE)
[![Python 3.11](https://img.shields.io/badge/Python-3.11-3776AB.svg)](backend/requirements.txt)
[![React + Vite](https://img.shields.io/badge/Frontend-React%20%2B%20Vite-61DAFB.svg)](frontend/package.json)
[![CrewAI](https://img.shields.io/badge/Agents-CrewAI-FF6B6B.svg)](https://www.crewai.com/)
[![Gemini 3](https://img.shields.io/badge/AI-Gemini%203-4285F4.svg)](https://deepmind.google/technologies/gemini/)
[![Deck.gl](https://img.shields.io/badge/Map-Deck.gl-000000.svg)](https://deck.gl/)

> ### 🏆 **Ranked #1 overall — combined technical execution and business value — among 4,499 projects built by 35,508 participants worldwide at the Gemini 3 Hackathon.**

<p align="center">
  <a href="docs/assets/award-gemini3-grand-prize.png">
    <img src="docs/assets/award-gemini3-grand-prize.png" alt="Globot — Grand 

Team