• Hackathon Radar
Hackathons
  • Browse
  • Judge Opportunities
  • Sponsors
  • Organizers
  • Map
  • Discover
Explore
  • Stats
  • State of Hackathons
  • Changelog
Personal
  • Custom Views
  • Passport
  • Favorites
  • Settings

Hackathon: Empathetic Agents

lumaHosted on Luma

Fetched about 2 hours ago

Thursday, July 30, 2026

to Thursday, July 30, 2026

Artificial Intelligence

Event Type

in person

33

Participants

2

Est. Projects

Empathetic Agents is a one-evening hackathon about building AI that shows up when life gets hard. Most software treats a person in crisis like a support ticket: a form to fill, a queue to wait in, a script to follow. But the moments that matter most, like a diagnosis, a loss, a layoff, a night you can't sleep call for something that can actually understand, respond with care, and help you take the next small step. The question for the event: what would it take for an AI agent to be genuinely empathetic, and to guide someone through a tough chapter of life? In teams of 2-4, you'll prototype agents that don't just answer, but are there for the user. You don't need to be an AI expert; bring curiosity, care and your laptop. AI credits, pizza, and drinks are on us.#ai #hackathon

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