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2h 22m 6s logged

Devlog 01 — SolarEcho foundation built

Today I started building SolarEcho, a Python DSP project that turns live NASA space weather data into ambient electronic sound.

What I finished:

  • Set up NASA API access with my official api.nasa.gov key
  • Built the async ingestion pipeline for NASA DONKI CME data
  • Parsed CME values like speed, halfAngle, latitude, and longitude
  • Connected the NASA data pipeline to a real-time audio synthesizer
  • Fixed callback and field-name bugs in the Python code
  • Verified the full pipeline through terminal logs:
    NASA fetch -> queue bridge -> synth update -> audio callback

Current stack:

  • aiohttp
  • asyncio
  • numpy
  • sounddevice
  • NASA DONKI API

Result:
SolarEcho now successfully receives live CME telemetry and maps it into audio parameters in real time.

I Am Quite Interested On Improving It More Maybe Even Making It Live On Cloud But API Limits Are Troublesome

You Can See Code At GitHub ( Project Bio ) ( The Project Is Not Live Yet But You Can Try Hearing Audio From Mp4 Video Check Google Drive Link )

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