Some Help and ReadMe!

The project is almost done! (why do I feel like I will be saying that a lot…)

Some help!

Today I saw interesting post on Facebook about a website someone my age built and I commented it on it asking if I could see the code cause I was curious if they used Flask, FastAPI, etc. I also posted my project and to my surprise, the poster is actually my friend’s dad (small world am I right) and he reviewed my code and left a few issues on it. He even downloaded it to update my requirements.txt. I then merged his request. Thank you for all of your help!

ReadMe:

I spent all of today working on the readme, you can read it here. However here is a little sneak peak:

Hey! My name is Krupam, and I am a nerd. If you are reading this, you are most likely one as well. I love weather, and learning about it. Other people who love weather will create and host Personal Weather Stations (PWS) and post the data to websites like Weather Underground. I have used these stations for my own research projects. Check one out!. In my area, there is a mesonet (regional network of PWS’s) from the Save Barnegat Bay non-profit (check them out, they are awesome!). I have used plenty of their stations in my research. I was given the amazing opportunity to present my research at one of their meetings regarding their mesonet. It was eye-opening! As I listened into the meeting, they discussed one of the current issues; they could never tell when a weather station went down. The station owners would find out days after if not weeks. This program is the solution to that and more.

The system is a weather-station data platform and monitoring system. The system collects data from Weather Underground (WU), turns it into usable information, and alerts station owners and administrators when a station needs attention. All data is shown on the website in a easy, user-friendly approach. This includes dashboards, graphing, analysis, scientific tests, and admin controls (accessed through JWT-based auth). The system is coded mostly in Python and there are three main systems: The weather and status scrapers, backend, and frontend website.