Google Cloud x MLB Hackathon - Building with Gemini Models

Google Cloud Tech · Beginner ·🧠 Large Language Models ·1y ago

Key Takeaways

The video introduces the Google Cloud x MLB Hackathon, where developers can build innovative projects using Google Cloud's AI tools, such as Gemini Models and Vertex AI, and real MLB datasets to revolutionize the fan experience.

Full Transcript

[Music] and a leaping catch at the war what a spectacular play baseball a global Pastime a game of strategy skill and Unforgettable moments but how can we take this beloved game to the next level what if we could use the power of technology to create a whole new era of fan engagement introducing the Google Cloud MLB hackathon building with I models we're calling all developers to step up to the plate and build the future of baseball and get a chance to win cash prizes join us on stage at Google Cloud next 2025 and tickets to the 2025 MLB All-Star Game presented by MasterCard use Google Cloud's Cutting Edge Ai and analytics tools generative AI predictive modeling combined with real MLB data sets to revolutionize how fans experiened the game so what are you building come up with your own MLB fan engagement project use any of the data sets MLB provides public data sets and Google Cloud AI tools to build a project for Baseball fans need some inspiration to get on base why don't we ask Josh Frost SVP of product at MLB for his take thanks Stephanie baseball is one of the most datar sports in the world so we're providing you with access to MLB data sets like fan engagement data video highlights close captions and access to the MLB stats API so you can revolutionize how fans experience the game imagine fans receiving personalized highlights of their favorite teams and players in different languages or getting real-time game insights so casual viewers can understand the Strategic nuances of every play seeing historical games brought to life with Advanced analytics or determining the next generation of baseball stars from Minor League Baseball you can help us build the future of baseball together now before we get too excited you'll actually need to build an app to show off Google Cloud AI magic Gemini imagine vertex AI the whole roster can be a bat need help getting started fortunately I have just the resources to get you up and running we have video tutorials and documentation new to baseball we've got you covered with a breakdown of how it all works check it out in the video description and on our hackathon homepage on dev poost all right let's say you've coded your heart out built an amazing app and now it's time to show it off but before you slide into home plate with your submission let's cover all the bases for creating a winning video your video is your chance to wow the judges and hit a home run with your project think of it as your highlight reel here are some top tips tips to knock your video out of the park show don't tell we want to see your app in action not just hear about it think demos not lectures keep it concise keep it 3 minutes or less highlight the key features and functionality no need to show us every line of code get creative show off your personality and have some fun in your video use animations music or even your best baseball and outc voice keep it clean remember your video could be seen by the whole world if you win so keep it family friendly highlight the tech Google Cloud AI is the MVP of this hackathon showcase how you use tools like the Gemini API and vertex AI to power your apps magic once your video is ready upload it to YouTube or Vimeo and submit the URL on dev post sharing your project on social media don't forget to tag us and use the hashtag Google MLB hackathon and build with Gemini we can't wait to see your amazing Creations batter up [Music] [Music]

Original Description

⚾️ Calling all developers! Step up to the plate and build the future of baseball with Google Cloud and MLB! Hit a home run with cutting-edge AI tools and real MLB datasets in the Google Cloud x MLB Hackathon - Building with Gemini Models. Win amazing prizes and revolutionize the fan experience! #GoogleMLBhackathon #BuildwithGemini Learn more and register → https://goo.gle/3P24nJS Resources → https://goo.gle/4gGACu2
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Playlist

Uploads from Google Cloud Tech · Google Cloud Tech · 0 of 60

← Previous Next →
1 I’m going for it #GoogleCloudCertified
I’m going for it #GoogleCloudCertified
Google Cloud Tech
2 I had to get #GoogleCloudCertified
I had to get #GoogleCloudCertified
Google Cloud Tech
3 Be better overall at what you do #GoogleCloudCertified
Be better overall at what you do #GoogleCloudCertified
Google Cloud Tech
4 Cloud Monitoring on our radar #Analysis #Uptime
Cloud Monitoring on our radar #Analysis #Uptime
Google Cloud Tech
5 Introduction to Generative AI Studio
Introduction to Generative AI Studio
Google Cloud Tech
6 How to use Github Actions with Google's Workload Identity Federation
How to use Github Actions with Google's Workload Identity Federation
Google Cloud Tech
7 Introduction to Responsible AI
Introduction to Responsible AI
Google Cloud Tech
8 Networking updates and CDMC-certified architecture
Networking updates and CDMC-certified architecture
Google Cloud Tech
9 Create and use a Cloud Storage bucket
Create and use a Cloud Storage bucket
Google Cloud Tech
10 How to digitize text from documents
How to digitize text from documents
Google Cloud Tech
11 Faster analytical queries with AlloyDB
Faster analytical queries with AlloyDB
Google Cloud Tech
12 Next ‘23 sessions and FaaS Wave
Next ‘23 sessions and FaaS Wave
Google Cloud Tech
13 Introduction to Assured Open Source Software
Introduction to Assured Open Source Software
Google Cloud Tech
14 BigQuery Cost Optimization: Storage
BigQuery Cost Optimization: Storage
Google Cloud Tech
15 BigQuery Cost Optimization: Compute
BigQuery Cost Optimization: Compute
Google Cloud Tech
16 BigQuery Cost Optimization: Select Queries
BigQuery Cost Optimization: Select Queries
Google Cloud Tech
17 Remote Field Equipment Management with Manufacturing Data Engine
Remote Field Equipment Management with Manufacturing Data Engine
Google Cloud Tech
18 Supercharging your applications with Cloud SQL Enterprise Plus
Supercharging your applications with Cloud SQL Enterprise Plus
Google Cloud Tech
19 Vector Support on our radar #GenAI
Vector Support on our radar #GenAI
Google Cloud Tech
20 Architecting a blockchain startup with Google Cloud
Architecting a blockchain startup with Google Cloud
Google Cloud Tech
21 Kubernetes and multitasking updates!
Kubernetes and multitasking updates!
Google Cloud Tech
22 GKE: Using Kubernetes Events
GKE: Using Kubernetes Events
Google Cloud Tech
23 How to configure firewall rules for Cloud Composer
How to configure firewall rules for Cloud Composer
Google Cloud Tech
24 Vertex AI Embeddings API + Matching Engine: Grounding LLMs made easy
Vertex AI Embeddings API + Matching Engine: Grounding LLMs made easy
Google Cloud Tech
25 Geospatial analytics on our radar #EarthEngine #BigQuery
Geospatial analytics on our radar #EarthEngine #BigQuery
Google Cloud Tech
26 Ensuring requests are set in Kubernetes
Ensuring requests are set in Kubernetes
Google Cloud Tech
27 Cloud Next 2023, Google research program, and more!
Cloud Next 2023, Google research program, and more!
Google Cloud Tech
28 How to migrate projects between organizations with Resource Manager
How to migrate projects between organizations with Resource Manager
Google Cloud Tech
29 How to run #MySQL in Google Cloud
How to run #MySQL in Google Cloud
Google Cloud Tech
30 #GenerativeAI for enterprises and #Next2023
#GenerativeAI for enterprises and #Next2023
Google Cloud Tech
31 How Google Photos scales to store 4 trillion photos and videos
How Google Photos scales to store 4 trillion photos and videos
Google Cloud Tech
32 Google Cross-Cloud Interconnect (Demo 2)
Google Cross-Cloud Interconnect (Demo 2)
Google Cloud Tech
33 GKE Cost Optimization Golden Signals: Introduction
GKE Cost Optimization Golden Signals: Introduction
Google Cloud Tech
34 GKE Cost Optimization Golden Signals: Workload Rightsizing
GKE Cost Optimization Golden Signals: Workload Rightsizing
Google Cloud Tech
35 GKE Load Balancing: Overview
GKE Load Balancing: Overview
Google Cloud Tech
36 GKE Load Balancing: Best Practices
GKE Load Balancing: Best Practices
Google Cloud Tech
37 Disaster Recovery in GKE
Disaster Recovery in GKE
Google Cloud Tech
38 How to configure IP masquerade agent in GKE Standard clusters
How to configure IP masquerade agent in GKE Standard clusters
Google Cloud Tech
39 Enable and use GKE Control plane logs
Enable and use GKE Control plane logs
Google Cloud Tech
40 Compliance in Australia with Assured Workloads
Compliance in Australia with Assured Workloads
Google Cloud Tech
41 Creating budgets and budget alerts in Google Cloud #FinOps
Creating budgets and budget alerts in Google Cloud #FinOps
Google Cloud Tech
42 Cloud SQL Enterprise Plus on our radar #mySQL
Cloud SQL Enterprise Plus on our radar #mySQL
Google Cloud Tech
43 What's Next for Google Cloud?
What's Next for Google Cloud?
Google Cloud Tech
44 How Loveholidays scaled with Contact Center AI
How Loveholidays scaled with Contact Center AI
Google Cloud Tech
45 What is fleet team management in GKE?
What is fleet team management in GKE?
Google Cloud Tech
46 Troubleshoot VPC Network Peering
Troubleshoot VPC Network Peering
Google Cloud Tech
47 Introduction to DocAI and Contact Center AI
Introduction to DocAI and Contact Center AI
Google Cloud Tech
48 Cloud Run Direct VPC egress explained
Cloud Run Direct VPC egress explained
Google Cloud Tech
49 Database deployment options in GKE
Database deployment options in GKE
Google Cloud Tech
50 Analyze cloud billing data with #BigQuery
Analyze cloud billing data with #BigQuery
Google Cloud Tech
51 Tips to becoming a world-class Prompt Engineer
Tips to becoming a world-class Prompt Engineer
Google Cloud Tech
52 Serverless is simple. Do I need CI/CD?
Serverless is simple. Do I need CI/CD?
Google Cloud Tech
53 Accelerating model deployment with MLOps
Accelerating model deployment with MLOps
Google Cloud Tech
54 How Hawaii's Department of Human Services scaled with CCAI
How Hawaii's Department of Human Services scaled with CCAI
Google Cloud Tech
55 Pricing API on our #Radar
Pricing API on our #Radar
Google Cloud Tech
56 How Recommendations AI for Media can boost customer retention
How Recommendations AI for Media can boost customer retention
Google Cloud Tech
57 Troubleshooting: Node Not Ready Status
Troubleshooting: Node Not Ready Status
Google Cloud Tech
58 One weekend until Cloud Next 2023!
One weekend until Cloud Next 2023!
Google Cloud Tech
59 #GoogleCloudNext starts tomorrow!
#GoogleCloudNext starts tomorrow!
Google Cloud Tech
60 #GoogleCloudNext will be demand!
#GoogleCloudNext will be demand!
Google Cloud Tech

The Google Cloud x MLB Hackathon challenges developers to build innovative projects using AI tools and real MLB datasets to enhance the fan experience. Participants can use Gemini Models, Vertex AI, and other Google Cloud tools to create personalized highlights, real-time game insights, and more.

Key Takeaways
  1. Register for the hackathon on Devpost
  2. Choose a project idea using MLB datasets and Google Cloud AI tools
  3. Build and test the project
  4. Create a video showcasing the project's features and functionality
  5. Submit the video on YouTube or Vimeo and share on social media
💡 The hackathon provides an opportunity for developers to apply AI and machine learning concepts to real-world datasets and create innovative solutions for the sports industry.

Related Reads

📰
GPT-5.5 Complete Guide in 2026
Learn about GPT-5.5, its features, performance, and why it matters in 2026, and how to leverage it for improved AI-assisted tasks
Dev.to AI
📰
AI Simplified — Why Structured Output Matters More Than a Fluent Answer
Learn why structured output is crucial for AI answers and how it can improve usability and automation
Dev.to AI
📰
I ran a 110B LLM on 16GB of RAM. Here's the equation that predicts any model's speed on your machine
Learn how to predict a large language model's speed on your machine using a simple equation, and discover how to run a 110B LLM on limited RAM
Dev.to · Federico Sciuca
📰
A Fidelity-First Workflow for Editing GPT-Generated Text
Learn a fidelity-first workflow for editing GPT-generated text to improve its quality and readability
Dev.to · Bisrat
Up next
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)
Watch →