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UMD x Ironsite Startup Shell

devpostHosted on Devpost

Fetched 4 months ago

Sunday, February 22, 2026

to Sunday, February 22, 2026

Artificial IntelligenceMachine LearningInnovationResearch
Student only
This hackathons is only open to students. Double check the event page for more information as this may mean only those from a particular university/country are eligible.

Event Type

in person

110

Participants

$17,500

Prize Pool

9

Est. Projects

About the challenge

Our goal is for you to push the frontier of spatial intelligence. We are looking for two types of projects: product-based or research-based.

Product-based projects should present a polished demo of a product that solves a meaningful spatial intelligence problem. We’re looking for thoughtful design, strong execution, and a compelling demonstration of real-world impact.

Research-based projects should apply the scientific method to propose a novel hypothesis or method, conduct rigorous experiments to evaluate its effectiveness, and present the findings in a clear and accessible manner.

Both types of projects will be assessed primarily on the novelty and creativity of the idea, as well as the quality of execution.

We will provide example construction video datasets and GPU credits to support your work. However, you are not limited to our data or to construction-specific problems — we encourage you to explore any ideas related to spatial intelligence.

All submissions are due Sunday at 10:00 AM.

We’re excited to see what you build. Best of luck to all teams!

Sponsors

Ironsite image

Ironsite

Judge Accessibility

Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10

Top signals

Organizer email available
Student-run event
Actively looking for judges

Organizers

Alex Johnson

alex@example.org

Jamie Rivera

jamie@example.org

Sam Chen

sam@example.org

Estimated Audience

Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech

Technical Focus

AI95%
Web80%
Mobile25%

Industries

Healthcare
Education
Climate

Technologies

Python
React
OpenAI

Why this estimate

  • • Hosted by a university
  • • Open to students
  • • MLH member event

Estimate inferred from event metadata, not actual attendee data.

Quality Score

Quality Score

72/100
High confidence
Organiser16/20
Event Maturity14/20
Sponsors18/25
Participants12/20
Operations12/15

Why this score

Strong organiser track record
Returning event
Well-sponsored

Missing data

Prize details
Code of conduct