Deep Learning for Weather Classification

The main aim of this project is to make a model that correctly classifies the weather states on the images it sees. This seems pretty easy but the main challenge the model will face is that it doesn't need to learn about the shapes of the objects in the image, i.e. Clouds, etc. Rather it needs to learn about the sky color in the image. But it does also need to learn where the clouds actually represent the Cloudy weather or are just there. This project is available on my Github Repo.