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HTTP endpoints that expose internal datasets for programmatic consumption by external clients.
Distinguishing note: The candidates are either too specific to face recognition or not focused on the exposure of internal datasets via HTTP.
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This is a .NET podcast application designed for managing and consuming podcast content. It functions as a cross-platform audio player and a cloud-native media service that streams podcast data and manages content submissions across different cloud providers. The project integrates machine learning services into its application logic to act as an AI-integrated content manager for automated podcast discovery and decision making. It utilizes a shared codebase to provide a unified audio playback interface across web, mobile, and desktop environments. The system includes an administrative content
Exposes internal podcast datasets via HTTP endpoints for programmatic access by external tools.