Görkem Turkut's Projects
Text based admiral sunk game
This project focuses on developing a comprehensive parking management system that utilizes deep learning and machine learning techniques to detect and read vehicle license plates. The system is capable of processing real-time video streams from parking lot cameras or the computer's camera, recording entry and exit times of vehicle into a database.
This project uses medical images to automatically detect brain tumors, which can be benign or malignant. Early diagnosis is crucial. A convolutional neural network (CNN) model, trained with deep learning methods, has been developed to improve the accuracy of detecting brain tumors from MRI images.
In this project, the aim is to design a program that prepares bus seating plans according to the level of closeness of people to each other.
This project is a compiler for the PSI Language written in C. The PSI Language is a simple, educational programming language designed to teach compiler design concepts. This compiler translates PSI code into an intermediate representation and then executes it or translates it to another target language.
Conference Management System is designed to facilitate the management of academic, professional, and corporate conferences. It aims to simplify and automate every aspect of conference organization, from initial planning stages through to post-event analysis, addressing the needs of organizers, reviewers, presenters, and participants.
In this project, I wrote various operations such as keeping the national parks in Turkey in lists and searching them, using data structures.
Dayanıklı Gelecek is a web platform designed to inform and educate the public about earthquakes, with a particular focus on the aftermath of the Hatay earthquake. Our goal is to provide up-to-date information, resources, and guidance to help individuals and communities prepare for and respond to earthquakes effectively.
A promotion site for a hotel
This project demonstrates the creation and management of a simple eCommerce database using SQL Server. It includes tables for Customers, Products, Orders, Order_Items, and Reviews, as well as SQL scripts for creating these tables, inserting sample data, and running queries to extract useful business insights.
This project demonstrates a machine learning approach to detect flower types from images without utilizing any external libraries. The goal is to build the entire process from scratch, including data preprocessing, model building, training, and evaluation.
Config files for my GitHub profile.
This project demonstrates a simple application on an STM32 microcontroller where an LED blinks continuously, and a button press makes the LED stay on for a specified duration.
Text based Monopoly game
Film kanalı çalışması
Haber kanalı çalışması
This project is focused on developing a machine learning model using the YoloV8 library to detect and locate car license plates from images and videos. By leveraging deep learning, machine learning, and image processing techniques, this model can efficiently and accurately identify license plates, making it a powerful tool for realtime applications
This project focuses on detecting and recognizing license plates from images and videos using advanced image processing, machine learning, and deep learning techniques. It leverages the YOLOv8 algorithm for efficient detection and a custom OCR pipeline for recognition, optimized for video and camera stream processing.
Sagiroglu-Ticaret offers a user-friendly platform for exploring and managing real estate and vehicle transactions. Designed with ease of use in mind, our website helps users navigate through various listings, access detailed information, and connect with sellers or agents efficiently.
Online shopping site
Text based survival game.