Race prediction from stats, history and weather

The scenario gathers race data and past-race history, hands it to an AI and, when confidence is high, saves the prediction, sends an alert and keeps a log.

  • Data and history are gathered automatically
  • The AI factors in news and weather
  • The prediction passes a confidence check
  • An alert and a log entry when confidence is high
Embeddings OpenAIDefault Data Loader
Connect inmemory and runScriptera

How it works

To get Postgres notifications in Google Chat, you don't need a developer: a ready-made scenario watches events and sends messages for you.

  1. Starts when: Schedule Trigger
  2. Then: Workflow Configuration
  3. Then: Fetch Current F1 Season Data
  4. Then: Merge F1 Data
  5. Then: F1 Prediction Agent
  6. Then: Format Prediction Output
  7. Check: Check Prediction Confidence
  8. If yes: Send High Confidence Alert
  9. If yes: Store Prediction in Database
  10. If no: Log to Prediction Tracker
  11. Then: Fetch Driver Standings
  12. Then: Fetch Constructor Standings
  13. Then: Fetch Historical Race Results
  14. Then: Aggregate Historical Data
  15. Then: Calculate Driver Performance Metrics
  16. Then: Historical Data Vector Store
  17. Then: Fetch Qualifying Results
  18. Then: Fetch Circuit Information
  19. Then: OpenAI Chat Model
  20. Then: Real-Time F1 News Tool
  21. Then: Weather Data Tool
  22. Then: OpenAI Embeddings
  23. Then: Document Loader
  24. Then: Recursive Text Splitter
  25. Then: Historical Data Retrieval Tool
  26. Then: Statistical Analysis Tool
  27. Then: OpenAI Embeddings1

You can launch this Postgres + Google Chat integration in Scriptera: describe the task in plain words — the scenario is built, launched and monitored for you.

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