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

polymath vision to disrupt the future of fashion

Deleted User

Introduction: This innovative project emerges from a simple yet profound need experienced by myself four years ago—the desire to create personalized clothing. With a background in mathematics, computer engineering, and a passion for visual art and design, I sought to revolutionize the traditional process of creating custom clothing.
The proposed platform leverages AI and advanced technologies to abstract and democratize the process of custom clothing creation. Key features include:
AI-Driven Design Generation: Users can receive design recommendations or create their own designs, tailored to their preferences and measurements.
AI-Enhanced Pattern Creation: Utilizing AI coupled with mathematical solvers, the platform generates accurate pattern pieces based on the user's body measurements.
Laser Cutting Technology: To reduce manual effort and increase precision, pattern pieces are cut using laser cutters.
Sustainable Local Assembly: Emphasizing a sustainable approach, the platform connects users with local sewists who assemble the garment pieces, supporting the local economy and reducing carbon footprint.
User Flow:
Users enter the platform and input their measurements.
They receive design recommendations or customize their own design.
Upon finalizing the design, users click "Order" to initiate the creation process.
The backend system generates pattern pieces and assembly instructions, sources fabrics, and coordinates cutting and assembly through a network of available sewists.


La Vipère is a project aimed to transform the future of fashion for consumers but enabling custom garment creation for everyone.

"399 team on LEAP 2024 Hackathon Hackathon"

Team Idea

Submission