Post-Operative

About the project.

Production-grade healthcare platform that monitors post-surgical patient recovery and detects post-operative wound infections early with AI-powered risk prediction, across a client, server, and ML service.

The challenge.

Post-operative wound infections are often detected late, after patients have already left the hospital.

The approach.

Built a healthcare platform split into a client, a server and an ML service, using live updates over Socket.IO and AI-powered risk prediction.

Key features.

AI-powered infection risk prediction

Live patient monitoring over Socket.IO

Separate client, server and ML service

MongoDB-backed patient records

The outcome.

A production-grade monitoring platform designed to flag post-operative infections early.