Inspiration
We sucked at making groups during MAIS hacks.
What it does
This program makes the optimal groups.
How we built it
We used k-means clustering to divide people into similar clusters and then took approximately a person or two from each cluster to build a group.
Challenges we ran into
Everything, and making a functional API via Wix. Finding optimal number of clusters for categorical clustering.
Accomplishments that we're proud of
Everything
What we learned
How to wix and k-means clustering. How to implement a successful categorical clustering algorithm.
What's next for Groupify
Second stage of the pipeline connecting the website input to the script and the script outputs back to the website.
Built With
- csv
- datetime
- faker
- javascript
- kmodes
- kneed
- numpy
- pandas
- python
- random
- velo
- wix
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