Building an AI-Powered Multi-Agent IPL Match Strategist with Streamlit and Gemini
The article describes a multi-agent AI system built to simulate real-time strategic decision-making for IPL cricket matches using Streamlit and Google Gemini. The system models a virtual dugout with distinct AI agents that debate tactics, including a strategist, a devil's advocate, and a captain who makes the final call based on personality. The application processes match context and generates structured JSON responses with tactical insights and win probabilities.
- ▪The system uses a single, structured prompt with Google Gemini to simulate multiple AI agents in one API call, reducing latency.
- ▪Agents include a Core Strategist, Devil's Advocate, and a Captain, each providing tactical input based on match conditions and captain personality.
- ▪The app outputs a JSON response containing win probability, strategic advice, counterpoints, and a final decision, all tailored to real-time match scenarios.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3936234) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Suswagata Chakraborty Posted on May 17 Building an AI-Powered Multi-Agent IPL Match Strategist with Streamlit and Gemini #ai #gdgcloudpune #gdgpune @gdgcloudpune Cricket, especially the fast-paced T20 format of the IPL, is a game of quick decisions, intense pressure, and strategic gambles.
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