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5. Read [[Sequoia Technical Overview]] to get a broad understanding of our systems. Don't worry if you can't understand it all.
5. Read [[Sequoia Technical Overview]] to get a broad understanding of our systems. Don't worry if you can't understand it all.
== On Boarding Projects ==
Wondering how to start getting involved? You came to the right spot! Take a look at the on-boarding projects here and then contact your software team leads for details. These projects are meant both as a way to learn about the technical workings of Sequoia and a fun way to get to know the team, so never hesitate to ask for help!
{| class="wikitable"
|-
! Choose a Project! || Background || Difficulty || Skills/Knowledge Involved
|-
| Connect sensors to flight computer || Our sensors (sun sensors, altitude sensors, etc.) are connected to the board with various hardware mechanisms (like I2C). Some of them need to be configured to be able to use them with our software. You will be writing the code to interact with these sensors. || Medium || Circuitpython, PyCharm, Terminal, Hardware
|-
| Practice creating a PR using GitHub || Github is how we add code to our codebase. This project will practice making a small change to the codebase, then adding it to our code repository so you can get familiar with Git. || Easy || Git, Github, Terminal.
|-
| Experiment with existing code base || The current setup includes the Raspberry Pi as well as our PyCubed flight controller. This task is about looking at our existing software, actually running it on our hardware and playing around with it to get a better sense of what direction you want to take this project. This task will involve lots of close contact with the existing team members, who will help you get set up and explain any open questions. || Medium || Python, CircuitPython, Redis, Microservices, PyCharm, SSH, Terminal
|-
| Machine Learning Model || The main mission of the satellite is to run ML models while in flight. This project will have you create a basic prototype model designed to be used on the satellite. We have a tutorial and dataset for cloud detection, although other applications are allowed. [https://docs.google.com/document/d/1bawH8VaoFZkZedc3kNZm_UkIKtb_4Xcg0Ybp6E0nt1s Click here for specification. ] || Difficult || Python, Data Science, Image Processing, Machine Learning
|-
| Create simulated sensors for testing and development || Since the creation of the hardware of our satellite takes time, we need to develop software for hardware that does not even exist yet. To make this task easier, a critical and helpful tool are small pieces of code that can simulate the behavior of an actual sensor or other device. For example, you could model a thermometer by investigating how the temperature of the satellite should change in a simplified scenario and then use that information to code a simple class that our main software can interact with to get simulated temperature readings. || Medium || Python, MicroPython, Object Oriented Programming, PyCharm, Terminal, Physics
|}