Queue Cure '26 Reception Dashboard

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. Process . . What "WE 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 Results THE WORKING OF THE PROJECT WERE GOOD AND PEFECT , AND IM SURE IT WILL BE A USEFUL INNOVATION FOR THE PUBLIC Reflection The difference is huge. Most teams will build: ```text Add Patient ↓ Call Next ↓ Show Token ``` That's a 4-6 hour project. You need to build something that looks like it could actually be deployed tomorrow in a real clinic. --- # Product Vision ### QueueCure AI > "The Operating System for Small Clinics" Transform: ```text Paper Slip + Receptionist Memory + Patients Asking Every 2 Minutes ``` Into: ```text Real-Time Smart Queue + Live Wait Prediction + Doctor Dashboard + Patient Visibility ``` ---