Abstract: 7 Sustainable Development Goals (SDGs) have been drawn up by the United Nations to answer the global call of ensuring a more sustainable and prosperous future by 2030. The government of South Africa (SA), as a member state of the UN, needs to develop and maintain accessible tools to help measure and support their development progress and supportive policies. A platform is in development by the University of Pretoria, with the aim of increasing accessibility to relevant research for policy makers within South Africa. A machine learning solution was developed that aims to improve on the existing SDG classification process as well as enable the classification of relevant SDG targets. The solution makes use of an ensemble approach, with a distinct binary classification model being used for individual SDG association classification, while targets are classified in a similar fashion but restricted in scope based on the outcome of the SDG classification. In addition, two solution deployment artefacts was also designed and developed, which policy makers and researchers will be able to interact with to efficiently and effectively filter research based on interactive widgets and actively predict SDG and/or targets based on input research abstracts.