The Goal

We are in the design and planning phase of a new climate change impact planning software product (related to "UN Sustainable Development Goal 13: Take urgent action to combat climate change and its impacts"). The product will recommend a set of actions that ordinary citizens can take to avoid, mitigate, adapt, or rebuild from climate change disasters. Although there is a wealth of guidance information out there in PDFs or on websites, rather than go through those one by one, we want machine learning NLP and NLU techniques (and others?) to be applied that can automatically extract that kind of guidance from a PDF document or body of text.

Your Contribution

A previous class successfully produced a working prototype, using Amazon Web Services and python libraries, that is able to extract actions from PDF files and textual content.

We would like you continue their work and extend their code to further improve the accuracy of this model, overcome some of the identified issues and challenges, explore some of the identified future enhancements, and also inject your own creativity and ideas.

This is still exploratory and so we anticipate a few iterations where you produce some outputs, we examine those, and see how to structure the results into our proposed action structure. At the start of the project we will provide a set of PDF content, link to the code repository, give you an overview of the previous work, and anything else you need.