In the realm of healthcare systems, the technological advancement in health care systems has brought dramatic changes in booking appointments with doctors for further improvements in patient care. This work shall develop an integrated disease prediction system with a doctor’s appointment, featuring a friendly GUI and multi-user login. The system will be intended for three levels of users: Admin, Doctor, and User/Patient. This paper integrates the capabilities of machine learning algorithms to seamlessly weave disease prediction into the appointment booking process. In that, it allows for efficient scheduling of patients by the symptoms they provide. Employing face detection, the paper goes a step further in understanding doctor availability. Hence, integrating these advanced features, the presented research attempts to articulate an effort for the complete seamless appointment booking process with the holistic intention of optimizing patient care delivery and overall health accessibility and efficiency. This paper intends to further facilitate the integration of technology into healthcare in developing and promoting a patient-centered care approach for all stakeholders and, at the same time, improve healthcare outcomes.