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MARCO POLO
THE COLLABORATION NETWORK
THE PROBLEM
Having a hard time making your project’s pieces fit?
THE SOLUTION
MARCO POLO IS YOUR SOLUTION
The Outlook AI add-on is easy
to install and will help you find
your solution expert within
your organization
HOW MARCO POLO WORKS
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
DEMO
OUR TEAM
• Gbasuel
• MylesHollowed
• Palanisamya
• Tiffastic
• VisaLisa

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Marco Polo

  • 3. Having a hard time making your project’s pieces fit?
  • 5. MARCO POLO IS YOUR SOLUTION The Outlook AI add-on is easy to install and will help you find your solution expert within your organization
  • 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
  • 8.
  • 9.
  • 10.
  • 11.
  • 12. DEMO
  • 13. OUR TEAM • Gbasuel • MylesHollowed • Palanisamya • Tiffastic • VisaLisa