WorkTunes

The Project

The 'WorkTunes' program is designed to recommend the best background music for enhancing writing quality. It operates by monitoring the user’s typing behavior in real-time, tracking key performance indicators such as typos, typing speed, pauses, and the frequency of corrections or deletions. This data is analyzed by a machine learning classifier trained on a dataset that correlates these metrics with overall work efficiency. The classifier generates a score indicating the efficiency level of the user under the influence of the background music being played. This process helps users identify the music genre that most significantly boosts their writing quality, thereby enhancing their engagement and productivity during creative writing tasks. To promote this innovative tool, I have created a website, "worktunes.org," where people can learn more about the program and download it to improve their writing experience.

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About the team

  • China

Team members

  • Qizhen Zhao