This is our HackUPC 2022 repostory. We participated in the McKinsey Challenge in which we tried to solve a Busniess Intelligence problem with the help of Machine Learning technologies. We propose a SaaS Business Intelligence Platform in which you can look data and adapt your stock to maximize your revenue and net income.
For hosting the website, see: https://github.com/UBTeamHackUPC22/mckinsey/tree/main/website
To use this project, first clone the repo on your device using the libraries below:
- TensorFlow
- Pandas
- Numpy
- Scikit Learn
For the web application you will find a requirments.txt. You can install a venv and copy the dependencies or an anaconda environment.
In the Jupyter Notebook you can look the data process, Extract Transform Load used in this project. With the web folder you can run in localhost the SaaS we created in this first iteration.
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