Elif Beyza Özkan
Портфолио
Time Limited Maze Game
The project was carried out using Arduino Uno, two MG90S Servo Motors, Led, Switch, battery and joystick.
YOLOv8: Real Time Object Detection
Real-time object detection has been performed using the YOLOv8 algorithm.
Tumor Detection in Brain MR Image
Detecting existing brain tumor in brain MR images using OpenCV library in Python.
Web Designs I Created on WordPress
Web Designs I Created on WordPress: https://tugbaozkan.com/ https://caglarozenaudio.com/
Image Processing Desktop App (OOP-based)
Built a PyQt5 desktop app for basic image processing using OOP principles (grayscale, edge detection, segmentation)
Image Denoising with Autoencoders
Image denoising applications have been performed using Autoencoder, and the model performance has been evaluated with various metrics
Fuzzy Logic - Based Obstacle Avoidance in ROS
Implemented real-time obstacle avoidance in ROS using fuzzy logic with LiDAR and odometry inputs.
Autonomous Ground Robot for Collision Avoidance Using Visual Data
Developed an autonomous ground robot using Jetson Nano and RealSense D435 for real-time lane tracking and obstacle avoidance, with manual and autonomous modes supported via a PyQt5-based control interface.
Anomaly Detection on Time Series
Anomaly detection has been performed using Isolation Forest, K-Means, and Local Outlier Factor (LOF) algorithms. Different machine learning methods have been applied to the dataset to identify anomalous data, and the performance of the algorithms has been visualized.