Classifying the nervous disorder disease like Parkinson using Deep Learning Techniques like Convolutional Neural Networks (CNN)
Parkinson's disease is a brain disorder that leads to shaking, stiffness, and difficulty with walking, balance, and coordination. In the early stages of Parkinson's disease, your face may show little or no expression. Your arms may not swing when you walk.
Your speech may become soft or slurred. Parkinson's disease symptoms worsen as your condition progresses over time. Here, in this project, we will classify whether the input image is a Parkinson/Healthy using one of the deep learning techniques called Convolutional Neural Network. Kaggle Parkinson Dataset is used in our model for testing and training purpose.
Keywords: Parkinson, Deep Learning, Convolutional Neural Network.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Software: Matlab 2018a or above
Hardware:
Operating Systems:
Processors:
Minimum: Any Intel or AMD x86-64 processor
Recommended: Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support
Disk:
Minimum: 2.9 GB of HDD space for MATLAB only, 5-8 GB for a typical installation
Recommended: An SSD is recommended A full installation of all Math Works products may take up to 29 GB of disk space
RAM:
Minimum: 4 GB
Recommended: 8 GB