ExpeditionHacks Seattle 2017

Team GitNews Members

Vanessa Davila [Developer]
Jair Castillo [Developer]
Kimyen Nguyen [Data Scientist]

The Problem

How to curate (refine, prioritize, & suggest) news stories/summaries for top national advisors with little time to spend. Also, how should feedback to specific stories be handled if any are given?

Our Solution

Utilizing RSS Feeds, NLP, and a specific machine learning algorithm for each advisor, we were able to truly suggest the top news stories in an easy to read format catered to the target audience. Feedback is implemented by two simple icons for each news articles presented which someone can click on to indicate if the article was useful. The models are then retrained utilizing the additional feedback.

In the end, we are able to present the top 10 (number configurable) news snippet for any specific advisor in a clean and intuitive UI :+1: