🏏 Captain Cool — Building a Multi-Agent IPL Strategy Engine with Google Gemini, Antigravity & AI Debate
Captain Cool is an AI-powered IPL strategy engine developed during a 3-hour hackathon using Google Gemini and a multi-agent architecture. The system simulates a real cricket strategy room by having specialized AI agents debate tactical decisions like bowling changes and field setups. The final recommendation is explained in natural cricket commentary language for better user understanding.
- ▪Captain Cool uses multiple Gemini-powered agents including a Match Analyst, Strategist, Devil’s Advocate, and Commentator to simulate tactical decision-making.
- ▪The Devil’s Advocate agent challenges the Strategist’s proposals, creating a visible debate loop that improves reasoning quality.
- ▪The system was tested in a realistic match scenario involving RCB vs PBKS with Virat Kohli batting and dew expected later.
- ▪Agent decisions are orchestrated through a defined flow: match state analysis, proposal, critique, revision, and final explanation.
- ▪The tech stack includes Google Gemini API, Python, FastAPI, Streamlit, and was built using Google Antigravity for AI-assisted development.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3936060) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Rushauti Bhogle Posted on May 17 🏏 Captain Cool — Building a Multi-Agent IPL Strategy Engine with Google Gemini, Antigravity & AI Debate #ai #gdg #agentaichallenge #automation 🏏 Captain Cool — AI That Thinks Like an IPL Captain What happens when you combine cricket strategy, multi-agent reasoning, and the Google Gemini ecosystem in a 3-hour hackathon sprint? You get Captain Cool — an AI-powered IPL match strategist where multiple Gemini agents debate tactical cricket decisions…
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