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Reality Hack at AWE 2026

devpostHosted on Devpost

Fetched about 5 hours ago

Tuesday, June 9, 2026

to Monday, June 15, 2026

•

6 days long

EdtechData ScienceArtificial Intelligence

Event Type

in person

12

Participants

$33,000

Prize Pool

1

Est. Projects

Challenge prompt

We’re unleashing the future of learning with Spatial AI at Reality Hack at AWE! Join Reality Hack, AWE, and Spectacles to build the future of learning with Spatial AI and Extended Reality. Teams will create experiences that levels up how people learn by blending intelligent digital assistance with the physical world in an education context. Using XR hardware and AI services, design experiences that help humans see more, understand more, and learn better in real-world environments. From real-time individual guidance and spatial learning to multi-user education experiences, the sky’s the limit on how you imagine learning and educational experiences that use AI to understand space, objects, and context to transform spaces for learning, whether that’s a museum or a classroom. Join us to unleash experiences where AI amplifies human learning, turning the world around us into contextual, intelligent learning experiences. 🚀

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