Appointment System using Artificial Intelligence Techniques

Abstract

This project aimed to design and implement an AI-enabled hospital appointment booking system using a
combination of PHP, MySQL, HTML5, CSS, Python, and JavaScript. The system aimed to address the challenges
of traditional appointment booking systems by providing an intuitive and efficient platform for patients, doctors, and
hospital staff. The user interface was designed using HTML and CSS, with interactivity added through JavaScript to
enable a multi-step booking modal. The backend requirements were fulfilled using a combination of jQuery Ajax
and PHP, with appointment data stored and retrieved from a MySQL database. The logic to avoid booking clashes
was implemented using PHP. Additionally, a machine learning model was trained using Python and data from the
AI&IoT health app to predict the optimum period of the day to book an appointment based on the day of the week
and desired service type. The integration of AI components aimed to optimize scheduling, reduce congestion, and
provide a seamless experience for users. The project's implementation showcased the successful integration of
various technologies to create an intelligent appointment booking system for enhanced healthcare services.