Parkinson Disease Detection using Deep Learning
Parkinson Disease is a progressive disorder disease that affect parts of body controlled by the nerves and affect nervous system. Signs of tremors, stiffening and slowing of movements these are signs of Parkinson Disease. There is no ascertain way to say whether person has parkinson disease or not beacause there are no diagnostics methods available to diagnose this disease.
This project will work for multiple disorder detection:-
1. Detect Handwriting: User have to upload image from dataset and check for Wave or Spiral Design.
2. Detect Voice: In this feature, user have to upload audio and it also works on real-time basis. 3. Detect Posture: Upload Video file and model will recognize the particular disorder and it also works for real time footage; laptop camera will open and detect the human disorder.
Parkinson’s Disease Prediction System in Machine 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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