Indoor Illumination Calculation AI

Generative Adversarial Network AI for fast prediction of indoor illumination
Date

2020

Details

This initiative employs TensorFlow and generative AI methodologies to forecast the indoor lighting conditions of a conceptual plan sketch by examining color-coded architectural diagrams associated with daylighting simulation outcomes. Before joining the EU-sponsored research program on global warming, which concentrated on urban heat islands and eventually became my thesis subject, I devised this AI model as a potential thesis theme.

Skills

Tensorflow, Python, Rhinoceros3D, Grasshopper, Honeybee

Job Type

Study Collection

Location

Ankara // Turkey