Microservices-Based Healthcare Management System with AI Symptom Analysis

Develop a healthcare system using microservices, including patient management, appointments, prescriptions, and billing. Integrate AI to analyze symptoms and suggest preliminary diagnoses to assist doctors in decision-making.

Create microservices for patients, appointments, prescriptions, and billing.

Implement RESTful API endpoints for communication between services.

Containerize each microservice using Docker and deploy via Kubernetes.

Preprocess patient data and train ML models for symptom analysis.

Integrate AI predictions into patient management service.

Implement authentication and secure data access.

Use service discovery mechanisms to enable communication between services.

Test individual services for performance and reliability.

Monitor the complete system and handle error logging.

Document microservice architecture, AI integration, and deployment workflow.