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CXC 2026 - AI Hackathon

devpostHosted on Devpost

Fetched 5 months ago

Saturday, February 7, 2026

to Sunday, February 8, 2026

•

2 days long

Artificial IntelligenceMachine LearningBeginner FriendlyNetworkingInnovation
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

233

Participants

$2,500

Prize Pool

20

Est. Projects

Welcome to CXC AI Hackathon - 2026 !

Experience CXC in its 5th iteration, featuring a new 36-hour format! Join over 350 like-minded hackers for a busy weekend of creating, learning, networking, and great food!

Sponsors

Backboard.io image

Backboard.io

backboard.io

Red Bull image

Red Bull

www.redbull.com

KPMG image

KPMG

The Chef Signature image

The Chef Signature

thechefsignature.ca

Nomad Futurist image

Nomad Futurist

nomadfuturist.org

UW Conrad image

UW Conrad

uwaterloo.ca

MLH image

MLH

mlh.io

AroundHi image

AroundHi

aroundhisolutions.com

Tangerine image

Tangerine

www.tangerine.ca

MEF image

MEF

uwaterloo.ca

Figma image

Figma

www.figma.com

Accenture image

Accenture

accenture.com

Equitable image

Equitable

equitable.ca

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