About the challenge
A 36-hour AI + ML x Entrepreneurship hackathon hosted by ML@Purdue. Whether you're a designer, hacker, founder, or researcher, Catapult is your launchpad to create, build, and share something extraordinary. Ready to take the leap? Join us and build something unforgettable.
Our website: catapulthack.com
Requirements
The following rubric will be used by the judges to grade your project:
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Innovation: How innovative is the project compared to existing solutions.
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Technical prowess: How technically difficult the project is.
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Impact: How much real-world impact does the project have.
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Creativity: How creative the project is: this includes stylistic choices, the focus of the project, and any whimsical/fun aspects of the project.
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Fit to a track: intended to promote projects that would be good fits to winning a specific track (such as proof-of-personhood or hardware tracks).
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Judge’s pick: Holistic review of the project and personal preference of the judge.
Each section of the rubric will be graded out of 5 possible points. The top 12 teams by points will move forward to the next round. In the case of a tie, the project most likely to win a track would move forward.
Judging will occur in a two-round system: the first judged by undergraduate and PHD students from ML@P and a final round judged by professors and industry representatives.
First round:
The first round will be judged solely from video submissions on the Catapult Devpost. The videos should be 5 minutes long at max (ideally 3-5 minutes) and demonstrate the project as accurately as possible including impact, technologies used, and the final result.
Second round:
The top 12 teams from the first round will be announced at the beginning of the second round in front of the audience. They will then have 5 minutes to deliver a Shark Tank style pitch about their projects to a panel of judges and the audience.
The judges for this round are Purdue professors and company representatives. Teams should come prepared with a slideshow or demo to get the best chances at winning categories.
Prizes
Overall Winner
Awarded to the team with the most outstanding project, considering innovation, execution, and impact.
Prize: 1x MacBook Neo per team member in the winning project.
Best ML Project
Outstanding project built around a trained machine learning model.
Prize: RCAC GPU-Hours.
Most Promising Startup
Project with the strongest potential for real world impact, scalability, or business viability.
Prize: 1x Bose SoundLink Micro Speaker per team member in the winning project.
Best Automation
Project that best streamlines a manual or repetitive process through clever automation.
Prize: 1x Sony XM5 Headphones per team member in the winning project.
Best Use of Hardware
Project that best incorporates AI with physical devices, robotics, sensors, or other hardware.
Prize: 1x Raspberry Pi 5 kit per team member in the winning project.
Best Proof-of-Human Application
Most creative application built with World's developper tools (World ID, MiniKit, or World Chain) that leverages proof-of-persoonhood.
Prize: 1x Ray-Ban Meta Gen 2 per team member in the winning project.
Devpost Achievements
Submitting to this hackathon could earn you:
Judges
Devon Bingham
World.org
Daniel
World.org
Saurabh Bagchi
Professor of ECE and CS
Jorge A. Romero-Day
Lecturer at the Burton D. Morgan Center for Entrepreneurship
Kamran Mohammed
Sr Forward Deployed Engineer at Rippling
Judging Criteria
Questions? Email the hackathon manager
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