By
@vertriwayz
WaveLens is a dynamic web-based dashboard that extracts live WSPR/FT8 telemetry feeds, decodes Maidenhead grid locators, and plots real-time propagation paths on an interactive map alongside live signal-to-noise ratio (SNR) analytics and band condition charts.
3h 59m 48s logged
TL:DR
As I haven’t yet put both devlogs into here, this is it.
Devlog #1:
Alright, so this is the first devlog so far of building WaveLens, which is basically a web dashboard which can extract WSPR/FT8 telemetry feeds, and plots them onto a large node map mapping out the callsigns. So far i’ve run them using Flask, Gunicorn, and Render, however i’m waiting for approval from the admins to approve my Nest Linux server so that I can run the Python app onto the server and run my site. So far it is turning out great, and there might be more stuff to work on soon. The image attached is from my gunicorn application that is running it temporarily, but I will soon transition to a Linux Server interface. This is also my first time building a Radio-related application, and I think it has been really fun to make so far.
Final Devlog:
All right, so this is the final post that I am creating for WaveLens. It has been a very valuable project for me to create, and I hope to create more like this in the future. I was able to use my background of HTML, CSS, and JS, as well as some flask to build this web application.
