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Band of Agents Hackathon
Starts Jun 12, 2026
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Gemma 2 AI Challenge
Build intelligent AI solutions that harness the power of Gemma 2 models to transform processes and enhance productivity.
Itβs a great opportunity to:
π Leverage Googleβs advanced Gemma 2 models to create cutting-edge solutions.
π° Access resources to support your project development.
π Receive guidance from expert mentors throughout the hackathon.
π€ Work solo or in teams to bring your ideas to life.
π Compete for a chance to choose from unique Google swag and enjoy an opportunity to meet the Gemma team for the best solutions!
π§π»βπ» Sign up before the Kick-Off Stream to secure your spot!
ποΈ On-site Workshops: Join us in-person at Google Cloud Space in London on 28th November from 5:00 PM to 9:00 PM UK time (GMT) for hands-on workshops
Hackathon Overview
Our AI hackathon brought together a diverse group of participants, who collaborated to develop a variety of impressive projects based on:
1377
Participants
106
Teams
35
AI Applications
Winners and Finalists
- We are in the process of selecting the finalist teams.
- Your voice matters! Vote on your favorite projects in the section below.
- Join us for the winner announcement stream, which will be streamed live on Twitch.
This event has now ended, but you can still register for upcoming events on lablab.ai. We look forward to seeing you at the next one!
Check out Upcoming Events βJoin our Hackathon Discord channel to stay updated with the latest announcements, receive support, and collaborate with mentors and the community.
About Gemma Model Family
The Gemma Model Family by Google offers a suite of open models built for various applications, including natural language processing, data handling, coding assistance, and multimodal tasks.
The purpose of the Gemma models is to provide developers with flexible, high-performance AI tools that are lightweight and efficient, enabling them to build and optimize applications across multiple domains.
Wide Range of Applications
The Gemma Model Family by Google includes a range of AI models designed for various applications:
Gemma 2
Flagship models for advanced NLP and data-related tasks.
Gemma 1
Lightweight, text-to-text models ideal for foundational language processing tasks.
RecurrentGemma
Uses recurrent neural networks (RNNs) for improved memory retention and efficiency.
DataGemma
Integrates LLMs with real-world data for data-centric applications.
PaliGemma
Vision-language model for multimodal applications.
CodeGemma
Supports coding tasks like code completion and generation.
Technology
Gemma 2 is a family of state-of-the-art AI open models designed by Google, featuring sizes of 2, 9, and 27 billion parameters. Itβs engineered for high performance and versatility, making it suitable for complex natural language tasks such as text generation, summarization, and translation.
Model Sizes and Capabilities:
β’ Model Sizes: 2B, 9B, and 27B parameters.
β’ High Performance: Optimized for accuracy and efficiency across diverse applications.
Key Features:
β’ Advanced Language Processing: Delivers coherent and context-aware content generation.
β’ Enhanced Safety and Filtering: Ensures secure and reliable outputs for responsible AI use.
Applications:
β’ Text Generation & Summarization: Ideal for content creation and automated summaries.
β’ Translation: Supports multilingual communication for global use cases.
Get Started with Gemma Models
To explore the Gemma Model Family and start building innovative AI solutions, follow these steps:
β’ Set Up Your Account
Visit the Gemma Setup Page to configure your account and access Gemma models through Google Colab or other environments. This page provides instructions for smooth setup, ensuring youβre ready to experiment with the models efficiently.
β’ Claim $300 in Free Google Cloud Credits
Head to the Google Cloud Free Tier to register and access your $300 free credits. These credits will allow you to explore Googleβs cloud services and run Gemma models without upfront costs.
These steps will ensure youβre fully equipped to dive into the Gemma models and start creating impactful AI solutions.
Hackathon Prizes
On-siteο»Ώ prizes
π
Winner:
Choose from Google swag + lunch with Gemma team at Google London
Onlineο»Ώ prizes
π
Winner:
Choose from Google swag + online feedback session with Gemma team
On-siteο»Ώ Bonus
π
On-site Attendees:
Gemma swag package
Please be aware that participation in lablab.ai hackathons is voluntary and subject to the specific rules and conditions outlined for each event. While we strive to provide a fair and rewarding experience for all participants, we cannot guarantee entry or success in securing prizes. All prizes and opportunities are subject to availability and participants must meet the established criteria to qualify. lablab.ai is not responsible nor held liable for any commitments or offers - including programs, giveaways, or prizes - made by third-party sponsors or partners of the hackathon. The availability and delivery of third-party prizes or benefits are solely at the discretion of the respective sponsors and are not guaranteed by lablab.ai. We reserve the right to make amendments, modifications, or cancellations to any part of the hackathon (including full cancellation of the event itself), including prizes and terms of participation, at our sole discretion. Whenever possible, we will endeavor to notify participants of significant changes within a reasonable timeframe. All submissions by participants must be original work, open source, and compliant with the MIT License unless specified otherwise. By participating, you agree to these terms, the overall event terms, and the lablab.ai general terms and are encouraged to review all event-related information carefully. Prize Distribution: lablab.ai and its partners reserve the right to distribute all prizes within a 90-day period following the end date of the hackathon. This period allows for the proper processing and verification needed to award prizes appropriately.
What to submit?
π Basic Information
β’ Project Title
β’ Short Description
β’ Long Description
β’ Technology & Category Tags
πΈ Cover Image and Presentation
β’ Cover Image
β’ Video Presentation
β’ Slide Presentation
π» App Hosting & Code Repository
β’ Public GitHub Repository
β’ Demo Application Platform
β’ Application URL
For further details and guidance, please visit Submission Guidelines
Judging Criteria
Application of Technology
How effectively the chosen model(s) are integrated into the solution.
Presentation
The clarity and effectiveness of the project presentation.
Business Value
The potential impact and practical value of the solution.
Originality
Uniqueness and creativity in addressing the challenge.
Hackathon Details
Join lablab.ai hackathon and innovate using the latest models in the market. Discover all the relevant details below.
ποΈ Where and when
The start date of the hackathon is mentioned according to the date specified on the hackathon page, cover and schedule. The hackathon will take place on the lablab.ai platform and lablab.ai Discord server.
π¦ΈπΌββοΈ Who can join?
Everyone is welcome to participate, regardless of previous AI or coding experience! We encourage anyone with a passion for AI or an interest in exploring how it can be used in their field to join.
π What about teams?
If you don't have a team, don't worry! You can connect with other participants from all over the world on our dashboard or Discord server. We also recommend checking out our Discord server to find teammates and bounce around ideas. You can join the server here.
π οΈ How to participate
The hackathon will take place online on lablab.ai platform and lablab.ai Discord Server. Please register for both in order to participate. To participate click the "Enroll" button at the bottom of the page and read our Hackathon Guidelines and Getting Started Guide.
π§ Get prepared / Use Lablab.ai to Learn About AI
To get ready for the hackathon, visit our AI Tech pages and read up on all the available technologies. You can also check out our tutorials page for more information on how to use them. Get a head start on your project by using the resources on lablab.ai!
Speakers
Jonathan Rundberg
Lead Automation Engineer
Gus Martins
Staff Developer Relations Engineer
Pawel Czech
Co-Founder
Pawel Czech
Co-Founder
Simon Olson
CEO & Co-Founder
Sergey Nuzhnyy
Head of Developer Relations
Junnan Li
Research Lead
Gus Martins
Staff Developer Relations Engineer
Emmanuel Iriarte
AI Architect
Jonathan Rundberg
AI Automation Lead
Jens Ingelstedt
Global Head of Accelerators
Event Schedule
- To be announced
Winner Submissions π
Submitted concepts, prototypes and pitches
Submissions from the teams participating in the Gemma 2 AI Challenge event and making it to the end π
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Teams: Gemma 2 AI Challenge
Check out the roster and find teams to join
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Next Hackathon
Band of Agents Hackathon
Starts Jun 12, 2026