We were inspired by nature's process of evolution by natural selection and its ability to create very adaptably individuals
What it does
It creates generations and individuals, of models of almost anything (it can be a glider plane or a Tertiary structure of a protein), each generation better than the other
How we built it
We take a JSON object with information such as the variables of the model and how to measure success. Then we run these variables through a genetic algorithm that changes each variable by a percentage, mutating the object. We then pick the best mutation and run the mutator again.
Challenges we ran into
Generate the code at real time
Accomplishments that we're proud of
We created better gliders than we had foreseen
What we learned
How to build angular 2 applications with firebase
What's next for Darwin Designs
Create other apis of genetic algorithms and machine learning, and combine both to create powerful AI apis.