Hello, I'm Filip, currently pursuing a master's degree in Media Technology and Engineering. Explore my portfolio by scrolling down to learn more.
This project involves developing a self-driving bus that navigates a track with speed-sensitive zones using the NEAT (NeuroEvolution of Augmenting Topologies) library in a Python and PyGame environment. NEATs evolving neural networks, guided by a fitness function similar to Q-learning, allow the bus to adapt to complex conditions.
Analyzing the sentiment of politically biased news articles through a Python-based support vector machine built from scratch. The outcomes are contrasted with those derived from a Naive Bayes classifier, as well as SVM and Random Forest classifiers available in the SKlearn library.
App prototype to gather relevant information for Media Technology students at LiU. Winner of the annual MT Section Gray Cube: An annual award for the most technically challenging project. The user must be able to see important information such as their schedule, upcoming exams and exam statistics.
Fifth year M.Sc in Media Technology and Engineering
Media Technology a broad engineering program, where the classic subjects of engineering are mixed with topics such as visualization, data analytics, machine learning and image processing.
Bachelor's Courses:
Master's Courses:
Standalone Courses: