7. TOOLS USED Microsoft Graph API – This API was used (with the permission of the user) to retrieve the user ID,
email address and the content of the message.
The API was integrated with python and Django to retrieve the user data. All of the backend was
done in Python. Using TF-IDF Vectorization and Non-Negative Matrix Decomposition, our Machine
Learning Algorithm becomes a system that is very similar to the methods that Netflix uses to provide
movie recommendations to the user, except instead of movies we are recommending work
collaborators.
The user
data is
stored on a
SQL server
The server is
hosted on
AWS S3
bucket
The user
data is
collected
from
outlook
The landing page was
developed using
Webflow which was then
integrated into flask