_______________________________________________________________________ Health Check-Up Appointment Tracking System: A Comprehensive Web Application for Efficient Patient-Doctor Interaction

Healthcare practitioners' workloads and diagnosis accuracy are greatly increased by the automation of medical image identification and classification through the use of conventional neural networks and machine learning and imagebased classification techniques. In scientific and technical applications, the Health Check-up Appointment Tracking system has becoming increasing popular in this field. This paper introduces the Health Check-up Appointment Tracking System, a scalable web application built with flask server to facilitate communication between patients and doctors, manage patient information, and expedite appointment scheduling. The system consisting of three login modules make up the system: Admin, Doctor, and Patients. The system offers intuitive interfaces tailored to specific needs of each user. From managing medical certificates and appointment schedules to providing advanced features such as symptom-based disease classification and image-based diagnosis, the system aims to improve efficiency, accessibility, personalized healthcare experience, optimized resource utilization and quality of healthcare services for both patients and healthcare providers.