Captain Cool AI β Building a Multi-Agent IPL Tactical Engine with FastAPI, Next.js & Gemini AI ππ
Captain Cool AI is a multi-agent tactical engine designed to simulate decision-making like an IPL cricket captain during high-pressure match situations. It uses FastAPI for the backend, Next.js for the frontend, and Gemini AI to power five specialized AI agents that analyze, debate, and generate real-time cricket strategies. The system provides explainable, collaborative AI reasoning through a user-friendly dashboard interface.
- βͺCaptain Cool AI uses five specialized AI agents: Stats Analyst, Strategist, Devilβs Advocate, Decision Maker, and Match Commentator.
- βͺThe tech stack includes FastAPI, Next.js, Python, React, Tailwind CSS, and Google's Gemini AI.
- βͺCustom cricket intelligence tools analyze venue scores, batter-vs-bowler matchups, pitch conditions, and dew impact.
- βͺThe system overcame challenges like API connectivity, CORS issues, and Gemini API rate limits during development.
- βͺFuture plans include live IPL API integration, win probability modeling, voice commentary, and agent memory systems.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3936249) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Hemant Choudhary Posted on May 17 Captain Cool AI β Building a Multi-Agent IPL Tactical Engine with FastAPI, Next.js & Gemini AI ππ #agents #ai #gemini #showdev Introduction What if an AI could think like an IPL captain during a high-pressure chase? That idea led me to build Captain Cool AI β a multi-agent cricket strategy engine inspired by the calm tactical mindset of legendary IPL captains.
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