Create an API that accepts user health parameters and predicts potential risks using AI/ML models.
Design database for users and health parameters.
Develop API endpoints for risk assessment requests.
Preprocess health data for AI modeling.
Train ML models to predict disease risks.
Integrate AI model with API responses.
Implement authentication, logging, and error handling.
Test API accuracy with sample data.
Deploy API for external health apps.
Document endpoints, request/response format, and AI workflow.
