ARI is a research application for government intelligence analysts, scholars, and students. It lets you research a topic from three different perspectives by entering your search term and selecting from different data source options: IBM Watson Discovery News for the journalistic perspective, Core for the scholarly perspective, and Google Edu and Gov for the perspective of elite educational and government institutions.

We were inspired by the GovTech Alliance's "Technologies to Counter Extremism" challenge. Our idea was to create a technological solution to the problem of combatting violent extremism. ARI contributes to this goal by helping key stakeholders understand a complex problem from different angles.

We built the ARI application using JavaScript, Node, Express, React, React-Redux, HTML, and CSS. We built the APIs that provide the data using IBM Watson Discovery News API, Core API, Google Custom Search API, LoopBack, AWS, and Bluemix.

Learning how to use a variety of new technologies very quickly.

We built a unique product that is valuable for government intelligence analysts, researchers, scholars, and students who want to understand complex topics from multiple perspectives.

We learned how to integrate a variety of APIs and technologies, including IBM Watson Discovery News API, Core API, Google Custom Search API, LoopBack, AWS, and Bluemix.

Add data visualization for sentiment analysis and allow the user to study an issue from different sides of the political spectrum.