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

Batman & Robin

unstopHosted on Unstop

Fetched about 3 hours ago

Monday, August 3, 2026

to Friday, August 7, 2026

•

4 days long

UndergraduateEngineering Students

Event Type

in person

About the Competition: Batman & Robin - A Technical Duo Event on Prompt Engineering Batman & Robin is a two-member prompt engineering challenge designed to evaluate communication and AI prompting skills. One participant (Batman) is shown an image that remains hidden from their teammate. Batman must verbally describe the image without displaying it, while the second participant (Robin) converts the description into a detailed AI image-generation prompt. Only the generated prompt text is evaluated, not the generated image. The winning team is the one whose prompt is most capable of reproducing an image that closely resembles the original reference. Evaluation emphasizes prompt engineering technique, descriptive accuracy, AI knowledge, and responsible AI practices. Other Details: Team size: 2 members Roles: Batman describes, Robin prompts Evaluated: Prompt text only Focus: Prompt engineering, responsible AI One teammate describes a hidden image. The other turns that description into an AI image prompt.

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