Contactless Framework: AI-Driven Predictive Diagnostics model and implementation of novel contactless sensing infrastructure for real-time cardiovascular forecasting

An advanced EU Horizon Europe initiative dedicated to designing a non-invasive healthcare platform. The project establishes a robust contactless sensing infrastructure alongside AI-driven predictive diagnostics pipelines to actively monitor and forecast cardiovascular risks in real-time without physical sensor attachments.

Successfully engineered and validated the contactless sensing architectural infrastructure. Developed highly accurate machine learning and deep learning predictive diagnostics models that track raw physiological markers remotely, drastically reducing patient burden and optimizing early clinical disease tracking.

This European project focuses on building smart health sensors that can predict potential heart problems from a distance, without needing to attach wires, patches, or devices directly to the patient's skin. By using advanced artificial intelligence, the system monitors vital health signs in real-time, helping doctors catch heart issues early and keeping patients comfortable.