This project presents a prepared Brandbook for the non-existent brand Lighthance. This organization manufactures and sells luxury lighting items, with a particular emphasis on light bulbs. The goal of the brand's visual identity was to achieve an effect of elegance with simultaneous modernism. This project was assembled in InDesign, while its individual graphic elements (like the bulb shapes) were created in Illustrator, ensuring cohesive visual communication.
As part of the project, an infographic depicting selected points along the route of tourist bus number 100 in Poznan was prepared. The poster is intended to help visitors to the city to choose the corresponding attractions and arrange the schedule of their trip. Individual elements were illustrated with photos of objects or wards of the Poznan Zoo. The infographic was made entirely in Illustrator as vector graphics, enhancing visual clarity.
This project presents a prepared Brandbook for the non-existent brand Lighthance. This organization manufactures and sells luxury lighting items, with a particular emphasis on light bulbs. The goal of the brand's visual identity was to achieve an effect of elegance with simultaneous modernism. This project was assembled in InDesign, while its individual graphic elements (like the bulb shapes) were created in Illustrator, ensuring cohesive visual communication.
As part of the project, an infographic depicting selected points along the route of tourist bus number 100 in Poznan was prepared. The poster is intended to help visitors to the city to choose the corresponding attractions and arrange the schedule of their trip. Individual elements were illustrated with photos of objects or wards of the Poznan Zoo. The infographic was made entirely in Illustrator as vector graphics, enhancing visual clarity.
A prototype of the Fridge-Matcher app was made in the Figma design software. The main functionalities of the app are finding recipes based on the products the user has entered. In addition to this, the app also allows the user to browse available recipes or mark them as “favorites.” The illustrations used in the app are the product of Blush and are taken from the Food Delivery App UI with Illustrations (Community) material.
Weather API is a project that was created using the Flask framework, an overlay on the Python programming language. It is intended to demonstrate the ability to create a web application with authentication (the login data is not stored persistently, so this module is only a prototype – don’t be afraid to create a fake account!) and to show the possibility of creating software that requests data from the OpenWeatherMap API.
This project is a demonstration of the graphic design skills of the landing page that is this portfolio you are currently on. The assumptions of the design were as much simplicity, minimalism and elegance as possible, so that the whole does not distract the viewer's attention from the realizations on the page. The Navigation Bar divides the content into 5 categories in order to make it easier to find a project of interest.
The Rat Game is a project created in the Unity game engine using three models (a rat, coins and a cage) designed in the 3D modelling program Blender. The game involves collecting coins and keys to get into successive rooms and finally into a rat cage. During his adventure through the maze of rooms, the player must demonstrate his cunning and dexterity. The scripts used in the game are written in C#.
The main idea behind the project was to create a program that processes huge amounts of temperature data from 35 weather stations around the world. The earliest historical data dates back as far as the early 19th century. The final result is a website that allows users to move along a timeline to compare changing climate conditions over the years. The data is presented in both map and line charts.
The goal of the project was to create an application that allows the user to check the estimated delay of his flight. Work on the application began with the preparation of data and pipelines, and then moved on to the selection and training of the appropriate machine learning model giving the best results (in this case Random Forest). The model was trained on 3 million flight delay observations of US airlines between 2019 and 2023.
The project is based on the use of advanced AI models, which are trained on the GTSRB (German Traffic Sign Recognition Benchmark) as part of the program. This is a database of more than 50000 images of traffic signs, with which VisionGuard is expected to learn to recognize signs located on roadside posts. The goal of the project is to get as much accuracy as possible so that the model can provide the greatest possible safety on the roads.
The result of this project is three interactive dashboards created in the Power BI application, where users can independently select countries, regions or scores of interest. By combining several different datasets, we can observe not only the Hapiness Score, but also its components or GDP over the years. The custom solutions used in the project, written in the DAX language, allow us to perform mathematical calculations on the data and select different column properties.