I'M EMRE SARAC
I'm a software developer
"A programmer is never late, nor is he early,
he arrives precisely when he means to."
-Gandalf
About Me
Hello, over the past three years, I've worked as an Android mobile developer, contributing to various projects involving the development of iOS applications using Swift & Objective-C, as well as cross-platform applications using Flutter. During this period, I encountered challenges such as creating user-friendly interfaces, writing efficient code, and ensuring consistency across different platforms. By working with different technologies, I have acquired extensive technical knowledge and achieved successful results in various projects.
Experience
My Recent Blog
2024-06-20 00:00:00 +0000
Learn how to create a blog with Jekyll, a powerful static site generator, and publish it seamlessly on GitHub Pages. This guide covers the installation, setup, content creation, and deployment process, making it easy for anyone to start their own blog.
Recent Projects
The Steam Türkiye Store now uses dollars instead of Turkish Lira due to our fascinating economy. This plugin calculates game prices based on the current exchange rate using the Binance API, enabling them to be displayed in Turkish Lira. Also You can create your own currency using "Sütlaç Mode". You can see how many rice puddings 🍚, how many breads 🥖 or how many kilos of lemons 🍋 you can buy for the price of a game you like on Steam, without the hassle of calculating. In this way, you can reconsider your priorities. 🚀
Yolbil Navigation application provides users with a reliable and comfortable driving experience through its turn-by-turn voice navigation feature. With Yolbil Navigation Library, developers can easily integrate navigation functionality into their applications, offering users a personalized navigation experience.
Developed a free, ad-free mobile app that turns smartphones into dashcams with AI-powered object detection for city and traffic signs. The app features loop recording, background operation, and minimal data usage. The application utilizes the TensorFlow Lite model for real-time traffic sign detection and also collects their locations.
Detection of the referee in the field and instant distance to the ball and heat map analysis using image processing techniques. (Supported by TUBITAK 2209-A program.)