Llama Impact Pan-LATAM Hackathon

Empower Latin America with AI to address impactful regional challenges using Llama 3.1 and 3.2 models

🔍 Leverage on-device AI deployment to transform education, drive economic growth, and extend AI benefits to underserved areas.

🧑🏻‍💻 This hackathon is exclusively for participants across Latin America.

📅 Join from November 22-25: Collaborate virtually with peers across LATAM to innovate solutions for your communities.

👨‍🏫 Work alongside mentors from Meta AI and LabLab, gaining insights to strengthen your project.

🏆 Compete for your share of $x,000 in prizes and the opportunity to scale your project for social impact!

Llama Impact Grant

Unlock a $100,000 Opportunity with Meta's Llama 3.1 Impact Grant

Hackathon participants from this event will be eligible to apply for a regional grant of up to $100,000 USD in addition to global grants up to $500,000 USD through the Llama Impact Grants program.

Apply for a seat!

🇦🇷 🇧🇴 🇧🇷 🇨🇱 🇨🇴 🇨🇷 🇨🇺 🇩🇴 🇪🇨 🇸🇻

🇬🇹 🇭🇳 🇲🇽 🇳🇮 🇵🇦 🇵🇾 🇵🇪 🇵🇷 🇺🇾 🇻🇪

⚠️ Important Note for All Participants

For LATAM Developers: This online hackathon is exclusively for participants across Latin America, and will primarily be conducted in Spanish.

1. "Apply for a seat" on the lablab.ai event page and wait for approval.

2. Fill out the registration form.

3. Create or join a team

4. Submit your project through the lablab.ai platform

Join this hackathon to tackle real-world challenges using Meta’s Llama models

This event is part of the global Llama 3.1 Impact Grant series, giving participants the opportunity to indicate their participation on their Llama 3.1 Impact Grant application. By doing so, you’ll be eligible to compete in an additional specialized "Regional" track within the grant program. If you’re interested in applying for the Llama 3.1 Impact Grants, we recommend submitting your application after participating in the event.

For more details on the Llama 3.1 Impact Grants, visit: Llama Impact Grants.

Challenges:

1. Education & Culture

📚 Problem Statement: Many lack access to effective learning tools and cultural resources.

Challenge: Use Llama to enhance education or expand access to cultural resources.
Possible projects:
• AI tutoring.
• Personalized learning.
• Language preservation.
• Cultural education tools.

3. On-Device Deployment

📲 Problem Statement: Limited connectivity restricts access to AI in rural or remote areas.

Challenge: Utilize Llama 3.2 which includes lightweight, multilingual text-only models (1B, 3B) on mobile and edge devices to deliver AI benefits offline. Explore solutions for rural and low-connectivity areas.

2. Economic Development

💼 Problem Statement: Businesses face challenges in driving socio-economic value and scaling efficiently.

Challenge: Apply Llama to improve business processes.

Ideas include:
• Process automation.
• Customer service.
• Product testing.
• Market research, and Trend forecasting.

Technologies

Llama 3

Explore Meta Llama 3, the next generation of state-of-the-art open-source large language models, offering groundbreaking features and enhanced performance.

👉 Read more about Llama 3

Llama 3.1

Llama 3.1 is an open-source, advanced LLM by Meta AI. Optimized for NLP tasks, it offers various model sizes and focuses on transparency, safety, and accessibility.

👉 Read more about Llama 3.1

Llama 3.2

Llama 3.2 by Meta is an open-source LLM with multimodal capabilities, processing text and images. It's optimized for edge devices, making AI more accessible across platforms and tasks.

👉 Read more about Llama 3.2

Winner

TBD

Runner up

TBD

⭐ The top two teams that are planning to continue developing their project will be invited to join an exclusive Meta & lablab NEXT digital incubation program.

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?

📋 Basic Information

• Project Title

• Short Description

• Long Description

• Technology & Category Tags

📸 Cover Image and Presentation

• Cover Image

• Video Presentation

• Slide Presentation

💻 App Hosting & Code Repository

• Public GitHub Repository

• Demo Application Platform

• Application URL

For further details and guidance, please visit Submission Guidelines

Judging Criteria

Application of Technology

How effectively the model(s) are integrated, focusing on the agent's ability to perform tasks autonomously, automate processes, work efficiently, and maintain high productivity.

Presentation

The clarity and effectiveness of the project presentation, ensuring the solution is well-communicated and its technical details, business value, and originality are easily understood.

Impact

The agent's impact and practical value, considering how well it fits into business areas and enhances human-agent collaboration to improve business processes and outcomes.

Originality

The uniqueness and creativity of the solution, highlighting innovative approaches and the agent's ability to demonstrate imaginative and distinctive behaviors.

Hackathon Details

Join lablab.ai hackathon and innovate using the latest models in the market. Discover all the relevant details below.

🗓️ 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.

Support will be in both English and Spanish.

🦸🏼‍♂️ Who can join?

Exclusive for participants across Latin America, 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.

😅 What about teams?

If you don't have a team, don't worry! You can connect with other participants 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.

🛠️ 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.

🧠 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!