Modify My Matlab Codes .. Change manual steps to be automated

I have image datasets divided into 2 Classes (Female/Male) each class located in separate folder . So I have 2 different folders. I used 10 different modules to classify them , for each module I am using 3 different algorithms , and I am doing loop for top-n values .. and I checked the accuracy across them. I have matlab code, currently I am doing below steps "manually" 1. I manually separate the images located in the folders (2 classes) as 'Training' and 'Testing' 90:10 2. The code is running across 10 different modules , every time I run the code, I manually change the the module name then run the code to check the result. 3. I manually change the maximum loop number (Top-n) 4. I manually check the accuracy result and fill it into excel sheet. I need to modify the code to be automated and satisfy those points: 1. Using Cross k Validation (instead of manually separate the data into training and testing sets) 2. Write a loop for those 10 Modules, so Automatically read the module name and generate the result across it (instead of changing the module name manually every time I run the code) 3. Automatically Check the accuracy across those 10 different modules with different top-N values and write it into excel sheet 4. At the end of the program , Save the results as excel containing those date : * Module Name * Cross k Number * Top-N value * Method * Accuracy the budget is FIXED = 50$ and I need this to be done by today. Thanks.