Abstract
Abstract: Parkinson's disease is a ubiquitous, life altering neurological disorder that affects countless people and is often undiagnosed until its advanced stages. This delay in diagnosis means there is no time for timely intervention and better disease management. Our implementation process is set to change this narrative through the use of multimedia data processing techniques and technologies. Our system begins its mission by capturing and analyzing spiral images, which is a new method for diagnosing Parkinson's disease. It uses advanced image recognition technology to interpret specific patterns in these images, providing insight into possible early stages of the disease. Focused on the analysis of spiral images, our solutions aim to revolutionize the diagnostic process, providing people and doctors with powerful tools to diagnose Parkinson's disease earlier and more easily. This change has the potential to improve quality of life and reduce the burden of Parkinson's disease.
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