Projects

DCiFR (Demograhpic Characteristics in Facial Recognition)

DCiFR is a graphical user interface built to bridge the gap between the wide amount of sociological data available online and those lacking the coding literacy required to analyze such data. DCiFR uses deep learning models to evaluate demographic characteristics of images uploaded by the user, and provides CSV output containing analysis results of the characteristics indicated by the user.

FURY Tutorials

FURY is an open-source scientific visualization library for Python, created and written by the Garyfallidis Research Group at Indiana's School of Informatics, Computing, and Engineering, for which I interened this past summer of 2020. As a part of the GRG team, I worked to add several new features to FURY, including new prisms and functions, as well as write tutorials for new users of FURY to familiarize with the library's capabilities. I wrote several tutorials for FURY's official site, which taught users how to add textures to sphere objects, how to create simple animations involving several sphere actors, how to animate the solar system, and how to create sphere actors on a globe textured sphere to align with the coordinates of a specific place.