Nail Disease Identification Using Image Processing
Nail Disease Detection using Machine Learning, this project is web-based project developed using Django Framework. In this system user can search through doctors’ specialization or patient symptoms or including doctor name. Doctor can find out through area wise and book their appointment to doctor, it shows doctor whole profile. If user wants to book an appointment, then they have to first signup with details and login with same details, then patient can slot the appointment, then system will generate the invoice after booking the slot. In the Nail disease prediction model, it is trained on large dataset of images and if user upload the image of nail, then model will predict the nail disease from that particular image.
Nail Disease Detection Detection
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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