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CTRL+QUERY

unstopHosted on Unstop

Fetched 2 days ago

Sunday, April 12, 2026

to Sunday, May 24, 2026

•

1 month long

Data ScienceEdtechCloud

Event Type

in person

83

Participants

7

Est. Projects

Key Points – CTRL+ QUERY (SQL Forensics Puzzle Competition): Concept: A unique SQL-based mystery challenge where participants act as database investigators to trace a campus exam leak. Objective: Analyze data (email logs, file access, IPs, timestamps, relationships) to identify the culprit. Eligibility & Skills: Open to all participants Basic SQL knowledge required (SELECT, JOIN, WHERE, GROUP BY, etc.) Strong analytical thinking and data interpretation skills Event Format: Duration: 2 hours Mode: In-person Participation: Solo Device: Bring your own laptop or use college PCs (limited availability) How It Works: Register on Unstop Report to venue on event day Get login credentials for the SQL platform Start solving once the timer begins Rules: Strict no cheating policy (disqualification if violated) No collaboration (individual event) Fair play and integrity expected Organizers not responsible for device issues Evaluation Criteria: Speed: Faster completion ranks higher Accuracy: All required clues must be correctly identified Rewards: Cash prizes (to be announced) Top performers featured on leaderboard Why Participate: Hands-on SQL problem-solving experience Enhances logical reasoning and data analysis skills Fun, competitive, and real-world scenario-based challenge

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