MLB DreamPlay Update: Version 1.1
We’ve added some amazing new features to MLB DreamPlay to enhance the fan experience!
What's New?
- Interactive "What If" Scenarios: Now fans can choose to simulate iconic moments with alternate strategies and outcomes, including what would happen if a key player made a different decision or if the team used a different approach to a play.
- Enhanced AR Heatmaps: We've integrated deeper player performance data into the AR heatmap. Fans can now visualize player trends, including batting zones, pitch speeds, and fielding efficiency—all in real-time during the game.
- Multilingual Support: MLB Dream Play is now available in Spanish and Japanese alongside English, so even more fans can enjoy an enhanced experience!
- Bug Fixes & Performance Enhancements: We’ve done extensive testing and debugging to ensure the app runs smoother than ever on all devices.
Screenshots
Code Snippet
Here’s a sneak peek into the backend code we use for real-time scenario simulation with Vertex AI:
from google.cloud import aiplatform
from google.cloud.aiplatform.gapic import PredictionServiceClient
from google.protobuf import json_format
# Example request for prediction
def predict_from_model(project_id, location, model_id, input_data):
endpoint = f"projects/{project_id}/locations/{location}/endpoints/{model_id}"
client = PredictionServiceClient()
prediction = client.predict(endpoint=endpoint, instances=[input_data])
return prediction
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