Parkinson’s disease is one of the worst degenerative diseases in existence and early detection is paramount to effective treatment. Parkinson's disease detection may be revolutionized by employing AI-powered eye scans to identify the illness before symptom onset. By analyzing retinal markers in a dataset, distinctive ocular disparities were discovered between Parkinson's patients and those without. Optical coherence tomography (OCT) scans were utilized, presenting high-resolution retinal cross-sections from 154,830 patients. The technique recognized thinning layers in the eyes of Parkinson's individuals, an average of seven years before clinical presentation. Given the scalability and affordability of OCT scans, their potential impact on predictive healthcare analysis could be extremely valuable. The non-invasive procedure could potentially prevent brain cell loss, something which is common with the disease.