United Nation's Sustainable Development Goals (SDGs)

Framed under international development concerns, this proposed Artificial Intelligence (AI) capstone project intends for automating decision making of the main human rights goals to prescribe priorities for implementation in the subsequent ten years. Explicitly, this study traces back written agreements among United Nations (UN) leaders over the last 25 years to apply Natural Language Processing (NLP) and ontology-based multilabel classification to the text-based corpus and draw occurrence, ranking, and interconnections among human rights.

Table of contents

• How to install and run
  • Installing requirements
    • Glove
  • Running it
• Externals and additionals tools
  • Dashboard
• Running with Docker
• Documentation of all features
• Contributors
• Disclaimer

Installation

Glove:

wget -nc -O - http://nlp.stanford.edu/data/glove.6B.zip | unzip -

pip install -r requirements.txt

Important: depending on your system, make sure to use pip3 and python3 instead.

That's it! 🚀

Running it

To run, you'll need to run

# add some codes here

External Tools:

Dashboard:

A dashboard for this project

Running with Docker:

For platform-agnostic, add Dockerfile to project so we can reproduce this project in any environment.

# docker run someContainer

Documentation

A list of all features of this study:

• Feature 1
• Feature 2
• Feature 3

Contributors (Alphabet order):

• Barry Chiu
• Cat Din Tran
• Shawne Pierson
• Gersenda Varisco

Disclaimer: Please Note that this is a research project. I am by no means responsible for any usage of this tool. Use on your own behalf.