SophieCare Surgery Platform

SophieCare is a healthcare AI proof-of-concept designed to demonstrate how IBM Bob can dramatically accelerate the transformation of complex ideas into usable software. The project combines an interactive ophthalmology surgical co-pilot simulation with AI-assisted development workflows powered by IBM Bob. Instead of only showcasing a final interface, the platform documents how Bob was actively used throughout the engineering lifecycle to improve repository understanding, accelerate onboarding, support architectural reasoning, generate development guidance, improve maintainability, and streamline implementation workflows. The application includes multiple interactive modules such as Patient Case Management, Live Surgery Simulation, Surgical Video Analysis, Resident Training, AI Insights, and an IBM Bob Evidence Center documenting prompts, workflow traces, repository improvements, and development decisions generated during the project. The platform simulates future healthcare AI workflows including surgical phase recognition, procedural monitoring, confidence scoring, risk alerts, resident feedback, and workflow analytics using frontend-safe mock AI outputs designed for demonstration purposes. The frontend was built using Next.js, React, TypeScript, and Tailwind CSS, and deployed on Vercel with a scalable architecture intentionally designed for future integration with computer vision pipelines, vector databases, RAG workflows, and real-time AI inference systems. SophieCare demonstrates how IBM Bob can help builders move faster from concept to deployable software by reducing engineering friction, accelerating implementation workflows, and improving development confidence in highly specialized domains such as healthcare technology.