Healthcare Data Risk Detection

Overview

This project involved building an AI-driven monitoring system designed to detect risks in healthcare data. The solution uses machine learning algorithms to identify anomalies, potential security breaches, and data inconsistencies in real-time.

The primary goal was to improve data integrity and ensure compliance with healthcare regulations while providing a proactive approach to risk management.