This repository contains the documentation for the 2022-25 NSPO STL Mission Avionics team. The documentation is written in Markdown in English. To learn more about the documentation, feel free to reach out the development team at STL, or visit the documentation website.
The documentation is written in Markdown and is hosted on GitHub Pages. To get started, you can clone the repository and start editing the Markdown files. To learn more about Markdown, visit this website. Also, you would need to have a baseline understanding to computer science and programming in general to better comprehense the documentation. Apart from the documentation, there are some resources you could reference to learn more about the project. The resources are listed below:
- Microsoft Learn
- Flask
- MongoDB
- Node.js Also, if would like to learn more about the project, feel free to reach out to the development team at STL. The getting started guide is available here.
If you are a member of the Space Technology Laboratory (STL), feel free to contribute to the respository directly and open an pull request (PR) so that the repository manager would be able to review your changes. If you are not a member of STL, you can still contribute to the repository by forking the repository and opening a PR. If you are not sure how to contribute to the repository, feel free to reach out to the development team at STL.
The documentation is licensed under the MIT License. The formal license is available in the LICENSE file.
High-altitude Rocket GPS-enabled Avionics System (HARGENDAS) is an next-generation avionics system developed by the space technology laboratory in house with various supportive ecosystems and community. The avionics systems faciliate current version of FreeRTOS with Arduino Core based on ARM Cortex M7 microcontroller.
The Stargazer system is an modern mission control ground station software developed by the space technology laboratory in house with various supportive ecosystems and community. The ground station software faciliate current version of Flask with MongoDB based on Python 3.8. The front-end interface, in addition, is developed with Vue.js framework and NASA Open MCT framework. S