AI Mock Interview
Prepare questions from a target role and personal experience, then practise with spoken questions, typed or dictated answers, follow-ups and detailed feedback on what to work on next.
Connect song practice, singing feedback and teacher-reference comparison with pitch charts, class records and revocable report sharing.
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The platform supports everyday student practice and teacher-led feedback by turning a performance into a record that can be replayed, compared and improved. Students choose a song, view notation and listen to accompaniment before moving into recording analysis. Existing recordings can also be uploaded, connecting classroom practice with work completed at home.
General analysis organises feedback around pitch, rhythm, stability and expression, with corresponding suggestions for improvement. These give students clear areas to investigate when listening to their own performance.
This route is also available for songs without a teacher reference. Its feedback is intended as practice guidance to use alongside listening and teaching.
When no reference is available, the workspace asks for one instead of presenting an unsupported comparison score.
Repeated practice therefore preserves individual progress without directly mixing scores from different references.
The practical value is a repeatable cycle: prepare a song, submit a performance, identify differences, listen and adjust, then try again. It provides feedback and records for discussion, with a teacher demonstration as a defined reference for pitch comparison. Artistic interpretation and teaching judgments remain with teachers and students; practice scores are not presented as formal examination results.
I independently designed the practice experience and system architecture, developed the frontend, backend and audio processing services, and handled deployment and iteration. I combined pitch extraction and recording alignment with evidence-grounded AI practice advice, supported by versioned teacher recordings, student practice history and recoverable processing tasks.
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