International Journal of Research and Development in Engineering Sciences https://www.ijrdes.com Adimalla Rama Rao 8 4 (July - September) 2026 07 July-September enFraud DetectionGmail SecurityEmail FraudSpam DetectionPhishing EmailsCybersecurity. Neuro Aid is a groundbreaking machine learning solutions to early detection of Parkinsons disease which is tackling an urgent healthcare need for millions of people around the world If not diagnosed until symptoms such as a slight tremor in one hand and stiffness in the body appear then Parkinsons gradually worsens over time Though a predictive analytics system has been developed which merges the concepts of Kmeans clustering Decision Trees and Support Vector Machines SVM to provide insights on patient information there is a need to improve the accuracy of the prediction In this context the use of Random Forest classification method is proposed looking into an expectation to achieve more than 90 accuracy In addition to these sophisticated classification methods there are also ways to denoise data and models to make them more stable and effective Next to these sophisticated classification methods there are also ways to denoise data and models to assure their stability and efficacy By normalizing the values of each feature using MinMaxScaler you can reduce the impact of scale differences among the features which results in a more balanced contribution from each feature The Parkinsons framework seeks to obtain a minimal error rate by combining advanced machine learning methodologies to make it more useful in research and clinical practice The combined effectiveness of this approach not only fosters progress in Parkinsons research and knowledge but also highlights the potential impact of machine learning on solving intricate healthcare problems Copyright (c) 2026 International Journal of Research and Development in Engineering Sciences. All rights reserved. 2026 All Rights Reserved