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Miro x Kiro AMS Hackathon: Building Today to Pitch (a Better) Tomorrow

lumaHosted on Luma

Fetched 1 day ago

Tuesday, May 26, 2026

to Tuesday, May 26, 2026

Artificial IntelligenceSocial ImpactFintech

Event Type

in person

110

Participants

9

Est. Projects

Join us for a speed hackathon where you'll create solutions for social good. Form your team in advance or on-site, pick a problem, define your target users, map your solution architecture, and ship something people can actually use with Miro and Kiro. Challenge overview Teams will tackle AI-powered development projects focused on social impact - community connection, accessibility, sustainability, education, mental health, equity, or any challenge that matters. ​Whether you're a builder or a product thinker, you'll collaborate to create something tangible and demo-ready, faster. Requirements At the day of the event to qualify for judging, teams submit: ​3-min video demo (pitch + Kiro prototype walkthrough)​Public Miro board (strategy, journey, metrics, pitch deck)​Public GitHub repo (code, setup, architecture) Up to 10 selected teams will have three minutes to pitch live to judges from Miro and AWS. One team will be selected as the winner and will receive standout prizes.

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