🏏 Captain Cool: Building a Multi-Agent IPL Strategist with Google Gemini & ADK
Captain Cool is a multi-agent AI system designed to simulate strategic decision-making for IPL cricket matches using Google Gemini and the Agent Development Kit (ADK). It employs distinct AI agents that debate tactics, incorporate live weather data, and refine strategies through critique and analysis. The system outputs fan-friendly explanations of decisions with confidence scores and alternative scenario analysis.
- ▪Captain Cool uses a 5-turn multi-agent debate framework with specialized roles including Strategist, Analyst, Devil's Advocate, and Commentator.
- ▪The system integrates live weather data via API calls through the Stats Analyst agent to inform tactical decisions.
- ▪Different Gemini models are used based on task needs: gemini-2.5-pro for deep reasoning and gemini-2.5-flash for fast data processing.
- ▪Each agent operates with tailored prompts to simulate realistic cricket strategy, critique, and broadcast-style explanation.
- ▪The final output includes a confidence score and a counterfactual analysis showing how win probability would change under alternative decisions.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3936204) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Mayur Kate Posted on May 17 🏏 Captain Cool: Building a Multi-Agent IPL Strategist with Google Gemini & ADK In the high-pressure cooker of T20 cricket, a captain has mere seconds to make decisions that dictate the outcome of a match. Who bowls the death overs? How do you set a field for a rampaging Suryakumar Yadav on a gripping pitch? For the Agentic Premier League, I set out to solve the captain-strategist problem.
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