Deep learning on iFogSim

I want to build a project based on iFogSim that existing on the following link [login to view URL] I want to build a fog framework to predict a diabetic patients by implementing a deep learning model for predicting a diabetic patient based on the Pima Indian Diabetes Dataset (PIDD). The deep learning will be implemented in three forms: 1- It will be implemented first on cloud only 2- It will be implemented on fog layer only 3- It will be distributed between fog layer and cloud layer The required tasks as follows: 1- how to create application for my project in iFogSim simulator 2- how to read the PIDD dataset to be the inputs for my project 3- how to implement the deep learning model on cloud layer only 4- how to implement the deep leaning on fog layer only 5- how to distribute deep learning layers between fog and cloud layers 6- how to get the results of task 3,4 and 5 I want a zoom meeting after each task before releasing