QueueCure Pro – Real‑Time Clinic Queue Transparency
Queue tracking reduced patient uncertainty by 70% : Patients reported significantly higher confidence in knowing their wait time and position.
88 students and freshers on Wooble have shown Socket.IO in 90 public projects: work you can open, read about and judge for yourself, not a skill ticked on a résumé.
Many of them study at Chennai Institute of Technology, Vishwakarma Institute of Technology and A. P. Shah Institute of Technology.
Some of this work was built for the challenge Queue Cure '26.
88 builders · 90 projects
Queue tracking reduced patient uncertainty by 70% : Patients reported significantly higher confidence in knowing their wait time and position.
QueueCure AI helps clinics optimize patient flow through real-time queue monitoring, emergency prioritization, and predictive wait-time analytics.
"Reduced patient wait uncertainty from 3 hours to real-time precision, achieving 0ms sync delay between clinic screens."
Replaced paper token slips with a real-time digital queue — patients see live wait time on any phone, no app needed.
Reduced patient uncertainty with live queue tracking, real-time updates, and accurate wait-time prediction—eliminating paper tokens and manual token announcemen
Built a real-time digital clinic queue system with live synchronization, reducing manual queue management and providing accurate wait-time estimation through So
Patient token assigned in 3.2s — live waiting room updates in <100ms across all devices, zero refresh
Eliminated paper token slips for walk-in clinics — live queue updates across all screens in under 200ms, zero app install required for patients.
Reduced patient uncertainty through live queue updates, AI-powered wait prediction, and real-time synchronization using Socket.IO.
Reduced patient waiting uncertainty through real-time queue tracking, appointment booking, QR token generation, live queue updates via Socket.IO, and role-based
0 page refreshes • Live token updates via Socket.IO • Dynamic wait-time estimation from real queue data
Built a real-time clinic queue platform that synchronizes Reception, Doctor Dashboard, Patient Portal, and Display Board instantly using Socket.IO with adaptive
Cut patient wait confusion to zero — live token updates + WhatsApp alerts replace paper slips
Eliminated clinic waiting room blind spots by engineering a real-time web application that automatically calculates individual patient pacing and wait metrics.
Built and deployed a real-time hospital queue system with zero-refresh sync across receptionist and patient display screens using Socket.IO.
Reduced patient waiting confusion through real-time digital queue tracking.
Replaces paper tokens with a live, two-screen queue system — sub-2-second patient check-in, real-time synchronization across devices, and wait times predicted f
Reduced patient uncertainty by 90% through live queue tracking and real time wait - time prediction...
Eliminated paper token system for 3 panels — Patient, Receptionist & Doctor — with real-time queue sync
Replaced blind clinic queues with <50ms WebSocket live-sync, featuring adaptive wait-time predictions and 100% idempotent state recovery.
Transformed paper-based clinic queues into a real-time synchronized system with live patient tracking and predictive wait times using React, Node.js, and Socket
Built a real-time clinic queue system with live cross-screen updates, dynamic wait-time prediction, and instant token synchronization using Socket.IO and MongoD
Rishita SrivastavaIndian Institute of Information Technology AllahabadReduced patient uncertainty with real time queue tracking, smart wait time estimation, and live token updates.
Eliminated paper token slips and reduced patient wait-desk interruptions by replacing manual queue handling with a live, zero-refresh web platform synchronized
Eliminated paper token queues with a live-sync dashboard — wait times update in real time as the queue changes.
QueueCare cut patient wait times by 42%, staff coordination overhead by 83%, and API latency by 99%
Built a four-dashboard patient flow system with dynamic wait-time prediction and real-time synchronization.
Built a live two-screen clinic queue system where patients see real time token updates and receptionists manage queues instantly, no refresh, no paper slips.
Shobali MurariNarsee Monjee Institute of Management StudiesReduced patient wait anxiety to zero — live token display syncs across all screens in under 50ms
Replaces chaotic paper tokens with a live WebSocket queue and automated voice announcements, cutting patient check-in times to under 2 seconds.
Enabled real-time queue tracking and wait-time prediction for clinics using live synchronized patient dashboards.
Transforms paper-based clinic queues into a real-time intelligent waiting experience with live tracking, adaptive wait-time prediction, and instant synchronizat
Cut "you're next" announcements to zero — receptionist adds a patient in under 10 seconds, every patient's phone updates live with no refresh.
An enterprise-grade, real-time clinical queue management platform that eliminates waiting room friction through zero-refresh WebSocket synchronization.
Achieved <50ms real-time queue synchronization across TV displays using a custom Socket.IO engine.
Replaced paper token slips with live dual-screen queue sync — zero refresh, sub-100ms updates
Reduced patient uncertainty through real-time queue visibility, instant token updates, dynamic wait-time estimation, and live synchronization across receptionis
Live queue sync across 2 screens in <50ms — zero page refresh using Socket.IO
"Reduced patient wait-time visibility from 0% to real-time, with sub-second cross-screen sync"
Reduced patient waiting uncertainty through AI-driven queue prediction and live hospital queue tracking.
Replaced paper token slips with live WebSocket sync — both screens update in under 1 second, zero refresh needed.
needs a measurable result
Digitizing clinic queues with live token tracking, priority-based patient handling, and real-time waiting room updates.
Digitized clinic queue management with real-time token tracking, instant multi-screen synchronization, and estimated wait-time prediction.
Eliminated waiting room anxiety by replacing hardcoded queues with dynamic, data-driven wait-time prediction matrices.
2 screens sync in <100ms — receptionist calls next token, waiting room updates instantly, zero refresh
Replaces paper-based clinic tokens with zero-delay WebSocket synchronization and a smart moving-average wait time estimator.
Eliminated paper token chaos — live queue sync across receptionist & patient screens in under 50ms
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Every builder here got on this page the same way: a public project on their Wooble profile that uses Socket.IO. Enter a hackathon to build one with a brief and a deadline.
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