AI-Powered Health Diagnostic System

This foundational stage involves deep research into existing datasets and the creation of custom scrapers or sensor arrays. Personnel must focus on raw data sanitization, bias detection, and the architectural setup of high-throughput ingestion pipelines.

The logic core is defined here. Programmers and Architects must map out the internal microservices, define the communication protocols (gRPC/REST), and establish the schema for data persistence layers to ensure long-term scalability.

Implementation of core algorithmic logic and performance optimization. Includes extensive stress testing under simulated high-load environments to ensure system stability and reliability.

Building the interface layer that connects the logic core to the end-user. Designers and Front-end engineers must collaborate to ensure low-latency responses and intuitive state management across the application.

Building the interface layer that connects the logic core to the end-user. Designers and Front-end engineers must collaborate to ensure low-latency responses and intuitive state management across the application.