AI-powered early detection of neurological disease: Parkinson's disease

Parkinson's disease (PD), a neurological illness that gradually compromises motor abilities. Tremors, muscle rigidity, and bradykinesia (slowness of movement) are symptoms of PD. Effective therapy depends on a prompt and accurate diagnosis, yet traditional diagnostic methods can be laborious and subjective. The goal of this study is to create a machine learning-based model that uses clinical information, like vocal characteristics, to detect Parkinson's disease. Through the use of advanced machine learning algorithms and the extraction of important data patterns, the project hopes to develop a trustworthy diagnostic tool that will help physicians identify Parkinson's disease (PD) early on, facilitating quicker interventions and improved patient care.