Furkan Karlıdağ's repositories
Article-Recommendation-System-with-NLP
This project provides article recommendations based on users' interests using NLP with the Krapivin and Inspec datasets. Users can give feedback on these recommendations and search for articles. Python was used to write the API for the machine learning and artificial intelligence part, while ASP.NET Core was used for the web. @muratergn
dosyalar-TxtYazdirmaCSharp
.NET İÇİN Seçtiğiniz gezgindeki dosyaları bir txt ye yazdıran kod
Spacecraft-Evading-Meteors-Game
The aim of this project is to develop a gaming machine based on a microcontroller using various sensors. The game involves controlling a spacecraft that attempts to evade various meteors and space debris in outer space. Game was developed April 2023 @furkankarlidag
Web-Scraping-Project-Search-Engine
This project has been developed with @muratergn. The project is implemented with .NET MVC. The aim of this project is to create our own search engine by extracting data from an article search engine.
Course-Registration-System
This project has been developed for the Software Laboratory 1 course in the Computer Engineering department. The purpose of the project is to reinforce desktop application development skills with database knowledge. C# and PostgreSQL were utilized in the implementation of this project. My project partner is @muratergn
MQTT-WebSocket-Web-Project
The purpose of the project was to grasp what MQTT Server and WebSocket are and how to use them. At the same time the another purpose is learning how to use API. I used Html5, CSS, JavaScript and Node.js for this project.
Direction-Finding-Algorithm
Game(Algorithm) in which a robot, following a specific rule, reaches the desired goal by overcoming obstacles. Game was developed March 2023 @furkankarlidag
DokuWiki
The aim of this project is to design a console application that allows us to update, delete, and add tags without using a file directory and database. Our program navigates between files based on the specified tag structure, finding the tags and displaying how many of them exist in each file. This project was completed in November 2022. @muratergn