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test

unstopHosted on Unstop

Fetched about 18 hours ago

Thursday, July 9, 2026

to Sunday, August 23, 2026

•

1 month long

UndergraduateEngineering Students

Event Type

in person

nts will improve AI performance by enhancing dataset quality through intelligent data analysis, strategic labeling, and identifying high-impact samples. Teams will use the 3LC.ai platform to analyze embeddings, discover edge cases, optimize training data, and improve overall model performance. nts will improve AI performance by enhancing dataset quality through intelligent data analysis, strategic labeling, and identifying high-impact samples. Teams will use the 3LC.ai platform to analyze embeddings, discover edge cases, optimize training data, and improve overall model performance.  

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