STRAT is an AI-powered IPL tactical command center built to simulate how real cricket captains think under pressure. Instead of behaving like a generic chatbot, STRAT creates a live “AI war room” where multiple Gemini-powered agents collaborate, challenge each other, and debate tactics before arriving at a final decision. The idea behind the project was simple: cricket is a captain’s game, where small tactical calls — bowling changes, field placements, matchup decisions, or timeout timing — can completely shift momentum. STRAT analyzes live or custom match situations using inputs like score, overs, wickets, pitch conditions, dew factor, venue, bowling resources, and required run rate to generate realistic tactical recommendations.

Key features of STRAT include:

• 🧠 Multi-agent AI orchestration with distinct roles like Strategist, Stats Analyst, Devil’s Advocate, and Commentator
• 📊 Real-time tactical reasoning using matchups, momentum, and contextual cricket intelligence
• 😈 Internal AI debate loops where agents challenge and revise strategies before finalizing decisions
• 🏏 Live Match Center for ongoing IPL analysis and a Strategy Sandbox for custom simulations
• 🎯 Interactive field visualization with tactical overlays, ball trajectories, and dynamic field placements
• 📈 Momentum tracking, pressure analysis, confidence scoring, and “What If?” tactical simulations

The platform was designed to feel more like a Formula 1 pit-wall or tactical sports operating system rather than a traditional dashboard. Built using Next.js, TypeScript, Tailwind CSS, Framer Motion, Zustand, and Gemini 2.5 Pro/Flash, STRAT explores how AI can move beyond basic chat interfaces into collaborative, explainable, and immersive decision-making systems. The goal wasn’t just to predict outcomes, but to create an experience where users can genuinely think like IPL captains in real time — analyzing pressure, debating strategies, and making smarter tactical calls ball by ball.