Projects
- 2% Of Spaces You Could Possibly Encounter'2% Of Spaces You Could Possibly Encounter' uses machine learning to classify an installation in real-time as visitors modify the layout of the space. Using MIT's Places database of 10 million images, a live feed is taken from the camera, ran through a neural network trained on the dataset, then filed into one of 365 spacial categories, ranging from amusement parks to operating theatres
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Work history
Creative Technologist (Intern)Swift Creatives
- London, United KingdomInternship
A fantastic internship opportunity in which I helped deliver functional prototypes of high-tech concepts using technologies such as computer vision (OpenCV + Python), machine learning (using OpenFrameworks), and augmented reality (Unity + Vuforia).
Skills
- Web Development
- Frontend Development
- Javascript
- CSS
- Python
- Interactive Art
- Interaction Design
- Html
- Art Direction
- Conceptual