TuneAcademy

TuneAcademy is an AI-powered music education platform that matches students with instructors based on skill gaps identified through audio analysis. Students record themselves playing, get a focused weakness profile, and find teachers who specialize in exactly what they need to sharpen. Winner of the Prenora Dynamics sponsored track at Brooklyn Hacks.

Key Features:

• AI audio assessment of pitch accuracy, rhythm consistency, and tone quality across voice, guitar, piano, and saxophone
• Structured, human-readable weakness reports generated from each recording
• Instructor matching that surfaces teachers specializing in the student's identified weaknesses
• Riffs: a short-form feed where musicians share progress and get discovered
• 1-on-1 and group lesson booking with instructor profiles and ratings

Full-Stack Developer
Built with a hackathon team at Brooklyn Hacks 2026. I built the FastAPI audio pipeline using Essentia and NumPy to extract pitch, rhythm, and tone quality from recordings, and compared user performance against MIDI references with DTW alignment to score timing, missed notes, and weaknesses.