  For this final year project, the goal is to add to the published works within
data synthesis for health care. The end product of this project is a trained
model that generates synthesized images that can be used to expand a medical
dataset (Pierre, 2021). The chosen domain for this project is the Covid-19
cough recording which is have been proven to be a viable data source for
detecting Covid. This is an under-explored domain despite its huge importance
because of the limited dataset available for the task. Once this model is
developed its impact will be illustrated by training state-of-the-art models
with and without the expanded dataset and measuring the difference in
performance. Lastly, everything will be put together by embedding the model
within a web application to illustrate its power. To achieve the said goals, an
extensive literature review will be conducted into the recent innovations for
image synthesis using generative models.
