I developed a multiplayer social deduction game inspired by the "impostor" concept using Next.js (React). The game focuses on real-time interactions between players, where participants join a shared room, complete tasks, and work together to reveal the impostor before being eliminated. The impostor’s goal is to sabotage and deceive, which creates a tense and competitive experience. Building this project helped me strengthen my understanding of React components, state management, and real-time communication in a web environment.

With this project, I also experimented with AI-assisted application generation, exploring how modern AI tools can speed up development and support the creative process in building interactive applications.

I created a reminder application using JavaScript, HTML, and CSS as a personal side project to strengthen my skills with these technologies. This app allows users to manage and organize their tasks with lists like all, today, and scheduled, making it easy to keep track of deadlines and daily priorities. It’s simple yet functional, with a focus on user-friendly design and practical features. The project also introduced me to deploying with Firebase and automating updates via GitHub Actions, helping me build a more complete understanding of the front-end development workflow.

I created a simple web application in React that displays a random recipe. This was one of my first projects while learning React, and it helped me understand the basics of components, props, and state management. The app was also designed with the idea of expanding into multiple pages and adding features like login, but these parts are not yet completed. In the future, I might return to this project to finish and improve it.

I chose this project as an introduction to the React library, in the JS programming language. In the given project, I tried creating a web application and creating a simple server.

I decided to create this project for a better presentation of myself and my skills, while for the first time I tried creating a front-end, with the help of old technologies, in order to understand their basics and use them in the following projects.

This work focuses on the use of the Robot Operating System (ROS) in the location and control of mobile robots from KUKA. ROS is a powerful software that contains a large number of tools and libraries and other add-ons that ensure the performance of even complex robotic tasks. In the first part of the work, we got acquainted with ROS and all the industries it offers us. Subsequently, we checked the use of this software on all available KUKA robots, and stated their basic parameters. We got acquainted with the methods of mapping and localization, while in the first mapping we used telecontrollers. We'll talk about how to control the robot arm with the help of a tool superstructure in ROS. And last but not least, explain what packages need to be used so that we can navigate the robot in a familiar environment and without collisions. In the last chapter, we focus on performing tests with navigating robots, while trying to enter various navigation tasks and goals, which we then evaluate.

In this project, we tried to apply a Gaussian and then Laplacian filter using convolution to the selected image. The size of the filter can be changed according to the user's requirements. Contact me for more questions.

As a result, we solved the assembly of a functional drone. From the selection of components, through the design of the frame itself, the cutting of the carbon frame, the fitting of the components, and the revitalization of the drone. Subsequently, it was necessary to fly the drone and create data from flights to evaluate our work.