ANALYTICAL CLOUD SYSTEM ERI Digital health analysis using Spectral analysis in AI  

This project revolves around the cloud system construction for analyzing digital health called REACH. The system combines the latest AI approaches to Spectral Analysis, with the aim of recognizing health-related patterns in varied digital health datasets. The system focuses on providing a health data processing system, including physiological data and sensor data. The system is intended to be scalable. The proposed methodology consists of creating a cloud data processing system with developed data pipelines and the spectral decomposition of data to capture underlying patterns. The methodology also includes applying AI models (be it machine learning or deep learning) for classification, prediction, or anomaly detection in the processed spectral data. This

study also proposes establishing a metric in the system for analyzing computational efficiency, detection accuracy, and availability of scalable analytics for a change in data volume. The end goal is to construct innovative systems for Preventive Health Care, Personalized Medicine, and, also provide a framework for safe and compliant digital health analytics in the cloud.

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