Ayşegül Tahak
Ayşegül Tahak
I have experience in mobile app development with React Native, game development using OpenGL, and web development with HTML, CSS, JavaScript, PHP, SQL, and database management systems. Additionally, I am proficient in Python, Java, C#, and C++. I have also worked on projects involving AI and IoT, such as an AI-powered driver drowsiness detection system. I participated in Teknofest, contributing to the design and development of underwater vehicles, VTOLs, drones, and electric vehicles. Driven by my passion for technology, I continuously expand my expertise and apply my knowledge to real-world challenges
Python developer, Developing custom plugins/scripts with Python for generating 3D graphics and processing lines of machine commands. Testing, debugging, and iterating the software.
Web developer, Creating the visual elements of a website or web application that users interact with directly. This involves using technologies such as HTML, CSS, and JavaScript and also Back end development.
Developed image processing algorithms for object detection and classification using Python and OpenCV. Collaborated with the electrical and electronics teams to optimize algorithms for embedded systems and real-time data processing.
I am developed a controller for an underwater vehicle and created the vehicle control interface by capturing data.
Bachelor student in Computer Engineering
HTML5
CSS3
JavaScript
Python
Java
Git
GitHub
React
TypeScript
C++
C#
This project is an AI-based application developed in Python for real-time detection of driver drowsiness. The system analyzes facial features to evaluate the driver’s level of alertness. A custom dataset was manually created for model training, and the proposed model achieved an accuracy of 85%.
I developed a mobile wallet application using React Native. User authentication processes were implemented with Clerk. I used Neon.tech as the database solution, which I configured manually and tested using Postman. Login and password verification functionalities are working successfully. Additionally, the application is capable of retrieving real-time data effectively.
I developed mobile application using React Native, called Habit Tracker. In this project, I used Appwrite as the backend database. User authentication is successfully managed, and real-time data retrieval functions as intended.
This is a desktop application for 3D printer management developed using Python. The design of the application was initially created with Figma, followed by its implementation. The second image represents the design prototype created in Figma
Collaboratively developed image processing algorithms for object detection and classification using Python and OpenCV. Worked closely with electrical and electronics teams to optimize these algorithms for embedded systems and real-time data processing, ensuring efficient performance within hardware constraints. Additionally, implemented flight control for VTOL UAVs using MissionPlanner software
