Berke Ege ERSAYAN

Lilama

I bring products with packages using AJAX. My Project will never paging slowly. When doing AJAX, before I send the data coming from the Controller to the partialhtml page, and I return the products to the AJAX result with CSS HTML codes from the html page with the design. Thus, I don’t have to edit the extra HTML CSS codes in Javascript. I brought the process of showing more products with AJAX by clicking on the bring more products button and with scroll and with the page design like arabam.com. I do not write Hard Code, I do not write any email, address or phone number in etc. I read this information from the database and bring it to the screen from the setting table. Thus, my projects are dynamic. I can sell the same project to more than one customer without changing anything. In my project, I made the parts on the page dynamic by putting the common pages in component (partial) pages. I used my category table with subcategories in my project. I also made a subcategory list on the home page accordingly. I used session in my project. After the user logged in, I showed the e-mail address under the logo. If the user is an admin user, I directed him to the admin panel. In my project, when products are added to the cart, I caught the parameter that comes with the id in my cartprocess method in the homecontroller, but when I show my cart page, the delete button sends an id, but when I click on the cart page from the top right corner of the same page, it does not send an id. Therefore, I caught the id sent from the delete button not as a method parameter, but as HttpContext.Request.Query["ProductID"].

DEVELOPING A MACHINE LEARNING FRAMEWORK FOR STOCK PRICE PREDICTION

MSC THESIS

In this study, company ,annual prices, machine learning algorithms and evaluation metrics have been used in the interface, prediction results were obtained from these selected features. Prediction and metric results were shown in graphs. I have used Python.

FaceM

BSC THESIS

Facial expressions of different peoples have been captured by using a camera, music selection have been made according to the obtained emotional expressions. I have used Python and Android Studio.