AortaShield: A Secure, Explainable AI Framework for Cardiovascular Risk Assessment on Mobile Platforms

AortaShield, a secure and explainable AI framework that assesses cardiovascular risk on mobile platforms.

AortaShield, a secure and explainable AI framework that assesses cardiovascular risk on mobile platforms. This reference project walks through the whole job, from the problem and the design to the build and the evaluation, so that a developer can study how it works, run it and extend it.

It suits learners building full-stack skills: user accounts and roles, a database-backed back end, a responsive front end and deployment.

The main parts are explanations of each result (feature importance or visual evidence), security and privacy controls such as encryption and access control, secure sign-up with role-based access, a database-backed back end with a clear API, and a responsive interface for each type of user. The reference build uses scikit-learn, SHAP, React, Node.js, and Express, with a clear project structure, setup instructions and sample data so that it can be run and extended.