Data Engineering and Reccommendation for med-cabinet

ETL of data (see sources). Data engineering provides structure/unstructure? db of strain information for returns through API and construction of structured data for recommendation engine development. REST API for user search query and return of recomendations from engine Recommendation engine

Source List of used data:

• Kaggle - Cannabis Strains
• Analytical 360 Update Link
• Psi Labs Update Link
• SC Labs Update Link

Papers/Articles For various algorithms:

Important Links

• Build-Week-Med-Cabinet Repository
• Trello task management
• Product Vision Document

Prerequisites

Python >= 3.6.8 Anaconda or MiniConda or Pip

Installing

Link-To-Environment.yml

Authors

• Gabriel Flomo - ** - GitHubLink
• Matthew Mauney - ** - GitHubLink
• Vincent Brandon - ** - GitHubLink
• Zorigo - ** - GitHubLink

TODO See also the list of contributors who participated in this project.

License

This project is licensed under the MIT License - see the LICENSE.md file for details

Contributors

Backend Developers:

• Allison Donnelly

Acknowledgments