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Cursor x eVoost AI - Hackathon @ Hub71 Abu Dhabi

lumaHosted on Luma

Fetched 18 days ago

Friday, June 26, 2026

to Friday, June 26, 2026

Artificial IntelligenceSocial ImpactAR/VR
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

๐Ÿš€ Abu Dhabi AI Proptech Challenge Building the Intelligence Layer for Land, Investment & Communities Powered by Cursor ร— eVoost AI @ Hub71 Real estate and land are being reshaped by AI โ€” and Abu Dhabi is where it's happening. Join builders, AI engineers and founders to ship working AI agents and apps that tackle real proptech challenges: from land and investment intelligence to smarter, more livable communities. What you'll get: 4 challenge tracks with real-world problem briefs Synthetic datasets + a ready-to-fork starter kit (Next.js + Tailwind) Example AI agents that run out of the box โ€” no API keys needed Hands-on mentorship from the Cursor & eVoost AI teams Judging by industry and ecosystem leaders Who's it for: developers, AI engineers, designers, founders and students ready to build the future of proptech. Bring your laptop, your curiosity and a team (or find one on site). Let's build the intelligence layer for the city. ๐Ÿ“ Hub71, Abu Dhabi ยท ๐Ÿ“… 26/06/2026 ๐Ÿ™ GitHub ยท ๐Ÿ’ฌ Discord ยท ๐ŸŒ cursoruae.com

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

  • โ€ข Hosted by a university
  • โ€ข Open to students
  • โ€ข 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