davorpa/musical-surveyor-springboot-api

This project is a web service that lets a radio station collect and manage listener feedback about music. Instead of guessing what songs people like, the station can use this API to ask audiences to rate or vote on tracks, then store and analyze those preferences in one central system. The tool works as a backend service, think of it as the engine that powers a survey or voting system. A radio station might embed a simple form on their website or app where listeners can rate songs on a scale or indicate which tracks they want to hear more often. This API receives those votes, saves them to a database, and makes that data available to station managers through other applications. It's built on Spring Boot, a popular Java framework that makes it straightforward to build reliable, scalable web services. A radio station would use this to make smarter decisions about playlists and programming. For example, a DJ could run a weekly poll during their show asking listeners which song should be the "Song of the Week," or the station could collect ongoing ratings of new tracks to see what's resonating with their audience. Rather than relying on call-in requests or gut feeling, station managers get real data about what their listeners actually want to hear. The project is relatively straightforward in scope, it focuses on the core job of collecting and storing music preference data. The README doesn't go into detail about specific features like user accounts, analytics dashboards, or integration with music streaming services, so it's likely a focused tool designed to do one thing well. It's the kind of project that could be extended over time as a station's needs grow, but starts with the essential capability of gathering preference data at scale.