Flood Prediction GAN
Flood Prediction GAN
(Experiment on Pix2Pix model)
(Experiment on Pix2Pix model)
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With the risk of annual flooding, we have an opportunity to use ML models to predict the possibilities based on the given context. The ML model uses a Multi-Channel image representing the features of the context that affect the possibility of flooding like infrastructures, natural components along with the amount of rainfall. The data was collected from OSM maps and Flood data of Miami, Florida.
Feature extraction
Feature extraction
Each data is curated to pose distinctive features like water bodies , greenery and built structures along with the areas affected by the rise in water level.
Flood Prediction Model 1
Flood Prediction Model 1
Layout Prediction Model 2
Layout Prediction Model 2
Computational framework for model 1
Computational framework for model 1
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