hack'n'lead-2019 Thomson Reuters challenge: The Good Explorers Team

1. Vision / Mission

It's all about making better decisions in life.

Imagine you want to know more about the products you're using or planing to buy, by having more transparency on product manifacture.

What if the information you got would make you more aware and informed about modern slavery.

You could find out what products are built based on the best standards and what ones you should avoid or even fight for better conditions for those involved.

Visit our website to find out more.

Yours, The Good Explorers.

2. About our approach to the problem we're solving

a) Based on the data and API's we've got an access to (mainly howgood.com -> FoodData Central USA, listofgoods and the global slavery index), we first analysed and map the data, mostly products, countries and slavery indexes.

b) We retrieved the data by using different number of attributes; then developed sentiments over time (child labor, forced labor, prevention efforts) using nltk package.

So far we've considered only the articles in English.

c) We've implemented the simple and intuitive website where the user can first search for a product and then based on the results scroll in the countries map to further explore and learn about the particular slavery index for that product, country and brand.

d) In the 2nd phase (depending on our time) we would like to build in more user interaction so that users can enter their suggestions on missing products, countries and brands. That's how we'd like to make users feel more valuable and satisfied.

Used technologies:

• MongoDB

• Python (libraries: pandas, numpy, sklearn, matplotlib, plotly, flask, pymongo, BeautifulSoup)

• d3.js (visualisations)

• Java, Spring framework

• HTML, CSS, JavaScript

• Heroku cloud (deployment)

3. How to install and run the project

• install JAVA https://www.java.com/en/download/help/download_options.xml

• install and run Apache Tomcat https://tomcat.apache.org/tomcat-8.5-doc/setup.html

• install Maven https://maven.apache.org/install.html

• install and run IDE, e.g. Eclipse or IntelliJ Community Edition https://www.eclipse.org/downloads/packages/installer https://www.jetbrains.com/help/idea/installation-guide.html

• install python, versions 3.6.x, 3.7.x OR 3.8.0 (we successfully tested with those) https://www.python.org/downloads/

• install jupyter notebook https://jupyter.org/install

• install MongoDB https://docs.mongodb.com/manual/installation/

• install Git