Inspiration
Multiobjective optimization, bioinformatics.
What it does
Determines the optimal amount and relative allotment of specific foods to take, dependent on astronaut genomics.
How we built it
Python, Pyomo, JupyterLab
Challenges we ran into
Coordination and arranging tasks according to varying areas of expertise. Limited expertise in intersection of bioinformatics.
Accomplishments that we're proud of
Utilizes operations research to build a cool solver. Deep genomic overview and analysis.
What we learned
Very hard to produce a working project in this topic in a day!
What's next for NutriComp
Further streamlining and automation of comparing expansion of indicator nutrients, human factors-related parameters and constraints, etc.
Built With
- biopython
- jupyter
- python
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