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Canva Code AI Hackathon for Event Professionals and Community Builders

lumaHosted on Luma

Fetched 1 day ago

Thursday, May 14, 2026

to Thursday, May 14, 2026

Artificial Intelligence

Event Type

in person

Canva Code AI Hackathon for Event Professionals and Community Builders Hosted by Eventify in collaboration with Canva UK and Led by Community Join us in London for a hands-on hackathon designed for event professionals who want to explore how AI can improve how events are planned, delivered, and experienced. This is a practical working session for people in the events industry. Whether you work in-house, at an agency, or in a corporate events team, this hackathon is designed to help you turn real event challenges into useful AI-powered solutions. Using Canva Code, you will collaborate with other event professionals, community builders, operators, marketers, producers, and technical minds to build ideas that support attendee journeys, event operations, networking, speaker support, content workflows, reporting, engagement, and more.You must bring your laptop to participate! You do not need to be a developer to take part. If you understand the reality of running events, your perspective is valuable. This session brings together people who know the work and want to improve it through practical experimentation. Across the day, you will get an introduction to Canva Code, see examples of what is possible, build alongside others, and present your idea at the end of the session. The goal is simple: create practical tools that help event teams work smarter and deliver better experiences. This AI Canva Code hackathon is a collaboration between Eventify, Canva UK, and Led by Community. Eventify is an event management platform built to support in-person, virtual, and hybrid events, with tools for registration, ticketing, speaker management, attendee engagement, networking, and event analytics. Event details Date: 14 May 2026 Time: 12:00 PM to 5:00 PM UK time (Check-ins beyond 12:30 will not be allowed, please arrive on time) Venue: The Bersey, Canva London Address: The Bersey Warehouse, 293-295 Old St (entrance on Coronet St), EC1V 9LAAgenda 12:00 PM Doors open, check-in, and light lunch Guests arrive, check in, and settle in with sandwiches and refreshments before the session begins. 12:45 PM Welcome, housekeeping, and Canva updates An opening welcome to set the tone for the day, cover logistics, and share a few updates from Canva. 1:10 PM Official kick-off: what Canva Code can do A live introduction to Canva Code, including a few examples of tools built in advance and practical tips for prompting and building more effectively during the hackathon. 1:40 PM to 3:40 PM Building time Participants work in teams or individually to develop ideas and prototype practical tools for event professionals and community builders. 3:40 PM to 4:00 PM Submissions and coffee break Final submissions take place during the break. Coffee, tea, muffins, cookies, and refreshments will be available. 4:10 PM Presentations begin Selected participants present what they built. Demos will be kept simple, with screen sharing managed from the main laptop. 4:40 PM Presentations close and winners announced We wrap up the demos and announce the top three builds from the day. 4:50 PM Closing remarks Final reflections, thank yous, and wrap-up words from the organisers. 5:10 PM Venue close

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