Success Stories

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Technologies

Python (PyTorch), MSSQL, Tensorflow, NLTK, DialogFlow

Calendar Events Classification
 

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Background

In every organization, there are different types of events for employees - some meetings are mandatory, while others are not. Our customer saw an opportunity to organize activities and save significant time through automation.

Challenge

Develop a solution that automatically processes events and renders a list of recommendations based on relevance and importance.

Solution

We leveraged NLP to extract additional data about the events from their text summaries, built a neural network to automatically assign every event to one of the predefined classes, and a mechanism to enhance machine perception based on user feedback regarding machine-generated suggestions that appear to be wrong.