• Dr. (Mrs.) V. A. Kailuke
• Khushi Radhe Shivhare
• Chandani Vinod Parate
• Snehal Ashok Raut

Outpatient wards in Indian hospitals face heavy, unevenly distributed patient loads on a daily basis, and much of the waiting a patient endures stems not from an actual shortage of physicians but from two critical pieces of information not being available exactly when she needs them: which department can address her complaint, and roughly when her turn will come. This paper introduces MediQueue, an AI-driven hospital appointment and queue management platform built to solve both issues simultaneously. Patients enter a free-text description of their symptoms and receive a ranked department recommendation generated by an AI assistant, accompanied by a plain-language rationale and a clear disclaimer that the suggestion is not a diagnosis. Once a department has been identified, the patient reserves a specific time slot from the doctor's published schedule, and upon arriving for the appointment checks in to obtain a live digital token; the token's queue position and expected wait are calculated from a moving average of recent consultation lengths rather than a fixed estimate. The platform is built as a three-tier web application using Flask and SQLAlchemy, with separate interfaces for patients, doctors, and administrators based on role. Testing on a labelled dataset of 200 symptom cases produced a top-1 department-suggestion accuracy of 88.5 percent and a top-3 accuracy of 96.0 percent, while a discrete-event simulation calibrated against measured service times showed mean patient waiting time dropping from 74 minutes to 21 minutes compared with unmanaged walk-in arrivals carrying the same daily patient volume

Hospital Management System, Outpatient Department, Queue Management, Appointment Scheduling, Artificial Intelligence, Symptom Triage, Flask, Web Application, Database Indexing, Healthcare Informatics.

"AI POWERED HOSPITAL APPOINTMENT AND QUEUE MANAGEMENT SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 10, page no.b707-b718, October-2026, Available :http://www.jetir.org/papers/JETIR2610170.pdf

"AI POWERED HOSPITAL APPOINTMENT AND QUEUE MANAGEMENT SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 10, page no. ppb707-b718, October-2026, Available at : http://www.jetir.org/papers/JETIR2610170.pdf