Simple Deep Learning with GAN Networks

I want someone to create a simple deep learning model for predicting data based on sample inputs from previous dates. Input data have more than 10 features that will be used for making a prediction. The prediction result is binary (0, 1) but input data are some time-series univariate numerical data. I've done a lot of things, such as preprocessing, cleaning, scaling, and splitting the dataset. I've also created a model and it works just fine. But I need someone to turn this model to GAN networks, and much more than that, someone to read and verify my code to see if everything works fine and I'm not making mistakes anywhere such as overfitting, underfitting nor any other issues.