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Audio · React · FastAPI · 2025

Diary / Kura — following a recording through the system

A voice journal, from the browser to weekly reports.

Two hackathons, then a continuation

Kura is a team audio-journal project developed at the Google Cloud Partner Agentic AI Hackathon and then the One-Person Unicorn Vibe-a-thon at STATION F. Diary is my personal continuation: developing the path between recording, audio processing, storage and reports.

Connecting the steps

The React and TypeScript interface records voice with MediaRecorder in WebM/Opus format. A FastAPI backend receives the files; FFmpeg converts them to mono WAV at 16 kHz. Google Cloud Storage then organises recordings by user and week.

The work presented here concerns that integration: passing consistent data between components, from the format produced by the browser to the one needed for processing, and then retrieving recordings in reports.

An explicit analysis choice

The prototype sends the analysis choice to the backend through a conditional opt-in header. Weekly reports support HTML export. The repository documents startup with Docker Compose and an ARM64 build procedure for Raspberry Pi 4.

Result and limitations

Diary remains a proof of concept with cloud storage. The documentation distinguishes mocked data from real processing; local identity handling is for demonstration. Opt-in does not establish compliance, and the reports are not clinically validated. The Raspberry Pi procedure documents a deployment path, without claiming a benchmark or continuous operation.

Links and credits

Kura was built as a team; Diary continues a personal part of that work.

What’s next?

Something worth building?

I’m looking for a permanent role in applied AI or AI platforms. I’m also happy to talk about your project, a hackathon or an idea. French native; English fluent; Spanish B1.

Let’s talk