Birth: May 2009
Technologies: Django, PIL
This was part of a class project (for the intro biotech class at Stanford strangely enough) in which I attempted to first explore the computational power of genetic algorithms, and then use the collective power of the internet to evolve pictures of animals from collections of polygons.
In doing so I designed a numerical DNA that closely mimiced actual DNA in that it was made up of codons (including stop codons), which allowed for selective expression of each polygon. In searching for a photo of a dog, a surprisingly accurate picture converged then later diverged into noise after someone went crazy on it.
It is currently disabled until I figure out how to host multiple Django sites on one Apache instance with mod_wsgi (I keep hitting cache interference issues)