The repository containing our code for reportQuery can be found here
The repository containing our code for the NGO Name Extractor can be found here
The repository containing code from Prototype 1 can be found here
The repository containing a lot of now defunct code from our research can be found here
‘Let’s leave no one behind’: A cloud solution for analysing patterns in NGO projects with a first stage synthetic data generator
The aim of our project is to build a database based on annual NGO reports. This involves data extraction from PDFs, which are mostly in an image format, and storing this data in a database hosted on the Azure cloud. This project is a first step towards synthetic data generation in the future, to produce a general model which can be used to meet the UN’s sustainable development goals.
As part of our project, we are also collaborating with a master’s year team, who are developing a web app for the ANCSSC, by creating a backend in Azure to store their data. This database is a first step towards providing actionable data and predictions to the ANCSSC regarding the progress and efficiency of NGOs operating in the south.
Having had an opportunity to discuss applications for out BERT algorithm with John Booth, the senior data steward at GOSH DRIVE, along with conversations with Sheena, we will be including our project’s applications to the healthcare sector as part of our recommendations for future works. This can be read about here.
This is our client video, which gives a good overview of the project.
Rachel Mattoo - Team Leader
Client Liaison, team management, SQL database management, programming
Mark Anson
SQL database management, SQL database connections, programming, website
Yansong Liu
Programming including BERT development, testing