These are projects that I've been excited about at some point. As with everything on this website, they're more a menu of possibilities than a to-do list. I've provided a rough categorization below. This list is always incomplete, and never completed.
Primarily microcontroller- or similar-based
What remains to be done? I need to 3D model a container for all of it, including an arm that can attach to the blinds rod. I try to avoid internet connections in my home devices where possible, except for computers, so I won't have this connected to the internet. It will therefore have a problem with its internal timer drifting over time. My friend suggested powering it with a mechanical outlet timer that turns on at a certain time each day, and then it can count upward from 0, the time it turned on, until it's time to open the blinds. Later it will close the blinds, and eventually the mechanical timer will turn it off. The next day the cycle will reset. According to this scheme, the Pi board's internal time will drift just the negligible amount it does over the course of a day, rather than accumulating minutes of error over the course of a year. (I haven't looked into exactly how much error it'd accumulate over a year; it's likely somewhere between the order of seconds or the order of an hour.)
Why is this project in the microcontroller section of this list? Because I think it'd be really cool to use an AdaFruit Feather board, which has wi-fi connectivity and a screen, and a 3D printed shell that looks something like a Tamagotchi, to create a little handheld thing that can hold all of this!
My office is on a surprisingly high floor with surprisingly good windows, given that I'm a grad student—we normally rate cinderblock-enclosed basements that could double as a bomb shelter. Last summer, after I learned about crown flashes, I found myself looking at the tops of cumulus clouds without success, wishing I had a way to keep watch all the time and maybe even alert me when one was spotted. And why stop at crown flashes? I'd love to see rainbows, halos, and all sorts of other things—at this point my list includes lightning, aurora, meteor, bolide, undulatus clouds, and cloud shadows, among others.
I have a Pi board and the Pi's AI camera, and am hoping to figure out how to train the AI camera to classify things it may never see from where I mount it. Is this a fool's errand? If it is, I'll at least learn a lot about automated image recognition. If I'm able to successfully train it, though, I'm hoping to also have it trigger more specialized cameras in different situations:
Primarily software-based
Primarily educational
Primarily physics-related
But I wonder: could one derive equations that trace backward from the halo to the ice crystal(s) and orientation(s) and bounce path(s) light must take to create it? The answer is yes; with little thought, I could write down extremely abstract functional equations right now. A better question is: could I derive tractable equations to solve for? The answer may be no, but the harder I try, the better I'll understand halo formation from ice crystals.
UPDATE: there's some literature on this!—specifically, analytic solutions for the halos ("caustics," here) generated by a given ice crystal shape and orientation. An early instance is Walter Tape's 1980 paper Analytic foundations of halo theory, and its references + clicking on "cited by" after searching for it on Google Scholar will yield much of the existing literature on ice crystal halo shapes.
I would expect that the reverse problem would be difficult for a number of reasons. But I hope to try it out for myself sometime, at a minimum to better understand all of this.
Primarily outdoors
Primarily physical objects
Crochet projects