Hospital Queuing Solution System using Machine Learning
Hospital Queue Management System using Machine Learning, the Efficient patient flow management is crucial in modern healthcare settings to ensure both operational efficiency and patient satisfaction. Traditional manual queue management systems, such as token-based methods, often result in long wait times and patient frustration. To address these issues, this project introduces an innovative Hospital Queue Management System and Doctor Appointment Booking platform. This system utilizes machine learning, IoT, and web technologies to automate and optimize patient management processes.
Web based Queue Management System built with Python
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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