Deepika R
Featured project
Queue Cure '26 - Smart Hospital Queue System
Most small clinics still manage queues with paper token slips and verbal announcements. Patients often wait 2-3 hours without knowing their position, estimated wait time, or assigned doctor room. Receptionists must remember the queue manually, while doctors get no live visibility. Queue Cure '26 solves this by digitizing token creation, live queue updates, patient tracking, doctor routing, and emergency priority handling. Process I started from the hackathon brief and mapped the core users: receptionist, waiting patient, and clinic staff. I built two main views: a receptionist dashboard for adding patients and calling tokens, and a patient kiosk for live token visibility. I then added disease-based doctor routing so symptoms automatically map to departments, doctors, and rooms. After the base flow worked, I improved the system with emergency priority, risk alerts, average consultation time, CSV reports, printable slips, cross-tab live sync, refresh-safe storage, and a Virtual Nurse chatbot. I tested the app by creating patients, calling tokens, switching views, and checking live updates. Results The final prototype supports receptionist intake, patient kiosk tracking, live token sync, estimated wait time, doctor room routing, emergency prioritization, token slips, CSV export, and a Virtual Nurse chatbot. In testing, token updates appeared instantly across views, and patients could track their position without asking the receptionist. The system replaces paper slips with a digital queue flow that is easier to monitor and present. Reflection With more time, I would add a backend database, staff login, SMS or WhatsApp token alerts, doctor-specific dashboards, and analytics for average waiting time by department. I would also test the system with real clinic staff and patients to improve accessibility, language support, and kiosk usability.