International Journal of Scientific Research and Engineering Development

Parkinson’s Disease (PD) is a neurological disorder that impacts motor skills, coordination, and cognitive functions. Early detection is necessary for efficient management of the disease. This study suggests an automated method of detecting Parkinson’s Disease using a Convolutional Neural Network (CNN) and brain images from MRI scans. Pre-processing techniques like normalization, resizing, and denoising are applied to images. Neuro Hawk Optimization is applied for efficient optimization of CNN parameters. This proposed method has shown improved results in terms of accuracy, precision, recall, and F1-score compared to traditional machine learning methods, thus facilitating early detection of Parkinson’s Disease.

Abinaya B, Mrs.B.Sankara Lakshmi,"CNN-Based Automated Parkinson’s Disease Detection from Brain MRI Scans used in Neuro-Hawk Optimization Framework" International Journal of Scientific Research and Engineering Development, V9(2): Page(1505-1509) Mar-Apr 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.