NITHISH BHARATHWAJ N

QUEUE CURE -AI

# Problem Statement Over 76% of clinics still depend on paper token systems and manual queue handling, causing patients to wait for hours without clear visibility into their turn. Receptionists manage queues manually, leading to delays, overcrowding, and inefficient patient flow. QueueCure AI addresses this challenge by providing a real-time digital queue management system with live synchronization, token tracking, and waiting-time estimation to improve the overall healthcare experience. Process Patients register and receive digital tokens, the receptionist manages the queue, and QueueCure AI synchronizes real-time updates across all displays to provide accurate waiting information and improve clinic efficiency. Results **Result:** A fully functional real-time queue management system with synchronized patient and receptionist views. **Outcome:** Reduced waiting time, improved queue transparency, and enhanced clinic efficiency and patient satisfaction. Reflection If given more time, I would add AI-driven wait-time prediction, automated notifications, multi-clinic support, and enhanced analytics to make QueueCure AI more scalable and user-friendly.