This repository contains mainly my capstone final project. This project has been very challenging but also very complete in order to get full visibility of real projects.
Here is the link to inspect the final version: https://frontend-dot-booming-mission-376415.oa.r.appspot.com/
- API: -api.py -app.yaml -requirements.txt
- Frontend: -main.py -app.yaml -authent.yaml -requirements.txt
- KPIs
These REST API were built using Flask-RestX for a web application and is used to visualize different KPIs for the H&M data, divided into 3 different datasets:
- Articles
- Transactions
- Customers
Moreover, the streamlit application deployed on App Engine (Google Cloud) has first of all a login feature in order to protect the data.
The username and Password depends on the person and is hashed in the code in order to keep it private and secure. (Find it in your email).
Once you log into this feature you get the H&M KPI's visualized.
First you will get an analysis of the Transactions Database.
Then it will follow the Customers Database
and will end with the articles Database.
On the left hand side you can find the filters created and choose from them.
Finally once you are done, you can log out with the buttom "Logout".