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Queue Cure '26

unstopHosted on Unstop

Fetched about 5 hours ago

Tuesday, June 9, 2026

to Wednesday, June 24, 2026

•

2 weeks long

CloudEdtechCybersecurity

Event Type

online

2,020

Participants

₹3,000

Prize Pool

181

Est. Projects

76% of India's 1.5 million clinics still run on paper token slips and shouting. Patients wait 2–3 hours with zero visibility into when they'll be called. Doctors have no dashboard. Receptionists manage everything from memory. You're going to fix that. Queue Cure '26 is a beginner-friendly Full Stack hackathon hosted on Wooble – India's portfolio-first hiring platform where builders get hired on what they build, not what their resume says. What to build: Screen 1 – Receptionist view: Add patient, call next token, set average consultation time Screen 2 – Patient waiting room view: Current token being seen, tokens ahead, estimated wait Live sync – both screens update the moment "Call Next" is clicked Submission Requirements Submit all 4 of the following to your Wooble portfolio: Working prototype link or demo video GitHub repository with README Socket event diagram Thought process sheet Evaluation Criteria Criteria Weight Live queue updates correctly across both screens without refresh 40% Wait time computed from real data – not hardcoded 25% Receptionist screen is fast and mistake-proof 20% Thought process addresses concurrency and edge cases 15% Participant Benefits Participation Certificate Winner Certificate + LinkedIn Badge Portfolio feature on Wooble Interview Opportunity with hiring partners Talent Pool Shortlisting for future roles

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