Prediction for the best hours to receive an advertisement call for a given customer group.
Switch branches/tags
Nothing to show
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Failed to load latest commit information.
DL
webservice
website
LICENSE
README.md
TELEKOM x KIBU .pptx
screen.png
upgrade.png

README.md

Telekom Leading Data Hackathon - 2016

Authors: Norbert Bajko and Peter Nagy
The application gathered the 1st Price for us in the "Data driven application" category

  • Deep Learning
    We trained a fully connected Nerual Network to predict in which hours of a week is it suitable for a given customer group to receive an advertisement call.

  • Web service
    A simple webservice implemented in Python connecting the network model and the web application.

  • Web client

Image of Webclient

We also imagined a simple use-case for our project for future use. Here you can see our solution integrated to an imaginary CRM, shwowing real-time whether a given customer is available:

Image of UseCase