IPL 2026: Agentic Strategy Engine
Link to open source: https://github.com/PrakashMehta29/cricket-vision-agent
Link to Live Project: https://cricket-vision-agent-2anrcwv5eappzpeu6x6kpyu.streamlit.app/
🏏 IPL 2026: Agentic Strategy Engine (Agentic Cricket Vision)
"Namaste doston! Swagat hai cricket ke naye avatar mein jahan AI sirf data nahi, game-changing strategy banta hai!"
🚀 The Vision (Purpose & Goals)
Current cricket analytics are limited to post-match stats and basic ball-speed tracking. To solve Problem Statement 1, I built a Zero-Human-In-The-Loop Agentic Engine. This isn't just a dashboard; it’s an elite scout that thinks like a CTO. It autonomously captures telemetry that usually requires a room full of analysts.
🔥 Key Features & Capabilities
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Multimodal Telemetry Extraction: Ingests raw video/image feeds using Gemini 1.5 Pro-Latest to identify shot types (e.g., Slog Sweep), delivery types (e.g., Yorker), and precise ball direction.
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Predictive Strategy Matrix: Using historical player tendencies and real-time biomechanics, the agent generates a weighted probability matrix for the next delivery.
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Shastri-Style AI Commentary: Converts complex JSON telemetry into a high-energy audio experience, bringing the excitement of the commentary box to the data layer.
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Built in Antigravity Workspace: Fully orchestrated within the Antigravity environment, utilizing Google’s most advanced models for high-fidelity reasoning.
🛠️ Tech Stack
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Core Model: Gemini 1.5 Pro (Multimodal Vision).
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Environment: Antigravity IDE.
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UI/UX: Streamlit (IPL Premium Dark Theme).
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Audio Engine: gTTS for Real-time Commentary Synthesis.
💡 Why this is useful for others?
Broadcasters can automate live infographics, teams can run real-time dugout analysis, and fans get a 'Predict & Win' interface backed by hard scientific data rather than just luck.
"Toh yeh tha hamara Agentic Engine! Agli baar jab Kohli boundary maare, toh yaad rakhna—hamara AI pehle se hi predict kar chuka tha. Ab bari hai trophy ghar lane ki!"
