🏏 Building Captain Cool: An Elite Multi-Agent IPL Match Strategist Workspace
Captain Cool is a multi-agent AI system built on the Google Gemini Stack and Next.js that simulates strategic decision-making for IPL cricket matches. It uses specialized AI agents to analyze real-time match data, debate tactics, and generate visual play calls on a Miro-style whiteboard interface. The system features interactive fielding visualizations, live score tracking, and voice-based input and output for enhanced usability.
- ▪Captain Cool uses four specialized Gemini agents: Data Analyst, Lead Strategist, Devil's Advocate, and Commander, to simulate strategic cricket decision-making.
- ▪The system pulls real-time data from Cricbuzz and ESPN Cricinfo to assess pitch conditions, bowler stats, and match dynamics.
- ▪An interactive visualizer displays recommended field placements with hoverable fielder nodes and a 30-yard circle on a graphical cricket oval.
- ▪Live match information is presented in a compact ticker showing scores, run rates, and player roles using color-coded sticky tags.
- ▪The platform supports voice dictation and speech synthesis for hands-free tactical input and audio playback of strategic decisions.
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 === 3936228) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Smit Jogani Posted on May 17 🏏 Building Captain Cool: An Elite Multi-Agent IPL Match Strategist Workspace #agents #gemini #nextjs #showdev Shoutout to the incredible folks at @gdgcloudpune, especially @antrixsh_gupta and @pratik_kale, for their inspiration and support in pushing the boundaries of what is possible with conversational AI and agentic workflows! We are thrilled to introduce Captain Cool—an elite, multi-agent AI-powered tactical workspace engineered on the Google Gemini…
Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).