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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