Match healthcare professionals with clinician roles
AI-Powered Matching: Automatically match healthcare professionals to clinician roles based on skills, credentials, requirements, etc.
Natural Language Search: Search for candidates or positions using conversational queries for a more user-friendly experience.
Microsoft Tech Stack
- .NET
- C#
- Azure OpenAI for natural-language queries
- Azure SQL Database for data storage
- Azure App Service for hosting
- Visual Studio for development and debugging
Performance Optimization: Currently, every search triggers a database query, which can slow down the application. Implementing a caching mechanism (e.g., Redis or in-memory caching) could significantly improve search speed by reducing redundant database calls.
Enhanced Front-End Development: Transitioning to a modern front-end framework like React or Angular would enable a component-based architecture, making the front-end more organized, scalable, and easier to maintain.