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IPL Knowledge Graph

A real-time IPL Knowledge Graph application that surfaces tactical insights, utilizing Spanner Graph and Vertex AI.

Project Structure

  • frontend/: React-based "Mission Control" dashboard that visualizes live match states and tactical shifts.
  • backend/: Python-based polling service providing live match updates.
  • cf_reasoning_path/: Cloud Functions dedicated to end-of-over tactical analysis.
  • hot_path_pipeline.py & setup_graph.js: Core pipeline scripts for ball-by-ball updates and graph management.
  • DESIGN.md: Contains information about tokens and design system choices.

Getting Started

  1. Set up your GCP credentials by placing an active gcp-creds.json inside the root directory. This explicitly should not be tracked by version control.
  2. Initialize backend dependencies and run the backend service.
  3. Start the frontend via cd frontend && npm install && npm run dev.

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