LEAP 2024 Hackathon 

Registration opens

Opening remarks by NewNative, discussing Lablab's mission and vision

NewNative - Brief Introduction to the Hackathon, Challenge, lablab.ai platform, and Discord server.

NewNative. Participants are encouraged to begin working on their projects.

Official Hackathon Kick-off - NewNative

It is a perfect time to connect with potential team members and energize with coffee.

1st Matchmaking Coffee session begins

Emmanuel Iriarte - Building your AI application in rapid prototyping

Workshop

2nd Matchmaking Coffee session begin

Participants resume working on their projects.

Harry Berg

How to launch your career in Ai & Data at supersonic speed.


How to Architect and deliver production-grade, high-speed computation and artificial intelligence software for real-time analytics

Workshop - Anton Alexander

Hacking Commences.

AI personalization in social media and marketing

Ash Barbour 

Workshop -  Jens Ingelsted - How to Pitch 

Hacking Commences

Lossless Data Compression based on new math theory & algorithm

Workshop - Claus Rosenberg Gotthard 

How AI is changing the way we build and operate software


Pawel Czech

End of submissions. Judging commences, and finalists are selected.

End of Closing Ceremony

Winner announcements at the main stage

Using shap-e and a LLM to help builders create anything. To make imagination the limit.

Makers Tech Tree

Isayah Culbertson

After discovering MAS.863/4.140/6.9020 How To Make (almost) Anything, I found this course to be the fundamentals for anyone interested in learning how to make things. In this course, the instructors talk about everything from 3d modeling, to electronics, to material science and biology. As a person interested in science, I always wanted to build a resource that compounds information to be used generate insights, and i believe this is a proof of concept of it. The more people query into the system the more information the system will have. This system will thrive on the curiosity of makers.  I see this system being potentially used with cloud laboratories and 3d printer farms. Ideally, using the information it gains to improve the pipeline, such as the quality of the text-to-3d model, and generated experiments.

A proof of concept for a method of accelerating innovation in the science field. Leveraging knowledge bases, a text-to-3d. This could be the beginning of a UI for autonomous laboratories and fabricators.  

"Makers Tech Tree team on LEAP 2024 Hackathon Hackathon"

Team Idea

Submission