esfrankel/crisis_predictor

CalHacks 2018 BlackRock Prize Winner for predicting violent crises

Peace.io was built in the interest of helping governments, corporations, and individual citizens avoid negative repercussions of conflicts by providing accurate ways of assessing the likelihood of impending conflict in order to protect their own self-interests.

Peace.io was built with Python, Flask,scikit-learn, BlackRock,IBM, MongoDB, MLab, and React.js. Our project is a machine learning-driven predictive search tool for conflict analysis of every country’s unique socioeconomic and political past and present. It presents the chance of conflicts for a country and explains whether structural conditions, economic conditions, current events, or overall sentiment is the cause of such a future conflict. It also displays past economic trends of a country.

How to: Install and Run

Clone the github repository and install npm tools to run the front-end. Install python3 for the backend.

$ npm install
$ yarn start

Peace.io is a collaboration between Stanford students Eric, Vivian, Michelle, and Teja at Cal Hacks 2018 at UC Berkeley. Please feel free to contact us!