Süphan YAKUT's Projects
Unity AI assistant orianted simple gameplay demo.
Yapay Zeka(BMT-436) dersi tasklarıdır.
Simple level android intro app coded using Java and Android Studio.
This is a 3D mobile hypercasual game created with Unity.
Replica of ColorSwitch.
A simple card application was developed to understand how the React framework works
It is a mobile application allows that task assignment and follow-up application in accordance with the required annual maintenance and exercise plan in line with the needs of the System and Network team.
Created backend
It is a movie project developed using Javascript es6.
This task management app, built with Provider, SharedPreferences, and ThemeData in Flutter, helps users organize tasks efficiently, track progress, and customize preferences easily.
Analysis and prediction study of heart attack data.
Replica of Helix Jump.
This is a basic card component demos created by angular and bulma library.
This is a library automation application developed using Java Swing.
Simple level android intro app coded using Java and Android Studio.
This is a Login Page design created with C# WinForm.
It's a .NET Core MVC web app for event registration. Participants provide their details and attendance infos. If attending, they can view others' details; if not, they're thanked and redirected to the registration form.
This is a blog site developed .NetCore7 and MVC.
This is a stock tracking project developed with .NET Framework MVC
This is an enterprise network architecture
Password Generator which is developed with Angular.
The .NET Core MVC web application provides users with product management by providing various features such as listing, adding, deleting, and searching for products. Users can easily filter products by category and edit or delete as needed.
React states have been applied in this project.
It is the website where reservations for tours are made.
Suphan Yakut's Resume
This is a Sport Center automation application developed using Java Swing.
Comparison of Machine Learning and Deep Learning Techniques for Stroke Prediction