Diabetic Retinopathy Detection using CNN
Welcome to our Diabetic Retinopathy Detector, a cutting-edge solution designed to empower individuals in the early detection of diabetic retinopathy. Simply upload your retinal image, and our advanced system, powered by ResNet technology, swiftly analyzes it, providing you with a percentage-based assessment of the likelihood of diabetic retinopathy. At the forefront of innovation, we strive to make healthcare accessible and proactive, ensuring early intervention for better outcomes. Your vision matters, and so does your well-being. Trust in our technology to safeguard your ocular health with precision and care.
Diabetic Retinopathy Detection using Deep Learning
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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🌎 Website: www.techieprojects.com
📺 Instagram: @pythonprojects_
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