zaras

This is an interesting question. I have always though that computational models are the most interesting description of genetic mechanisms (DNA primary sequence, epigenetics, transcriptional control, etc.) and singaling networks (RNA, proteins, metabolic networks, etc). They abstract away complexity and give us tools to make powerfull predictions. What you are suggesting here is that biology is more than a universal Turing machine. What makes you believe so?

yep, their code on how to get the images in sequence from Street View is available on github. Once you have the images, just stitch them together in a panorama (there are a lot of tools to do this). btw, nice idea for a present :)

here you go http://hyperlapse.tllabs.io/

I had the same question has you last year, and I decided to apply to the Google Summer of Code, which is a project founded by Google to promote student engagement in the open source world (for more details https://code.google.com/p/dynnetwork/). Was awesome, and opened many doors for me :)

It's hard to start a project on your own and engage others. Get instead involved with an open source community that you find exciting, and which has already traction. This will expose you to a bigger audience, and will also give you a perception on what people really want and need.

...and as a last tipp, don't be shy to promote yourself, it's a pool of sharks out there ;)

hope this helps and good luck!