Projects.
Interactive Flappy Bird
I created an interactive version of Flappy Bird using Arduino, where the player controls the bird by moving closer or further away to make it go higher or lower. The entire project took me about six weeks, including the time spent developing the concept. The actual coding only took two days to complete. I worked on this project together with two other people. The most important lesson I learned from this experience was to start with a clear and solid idea.
Project Sweden
This project was a collaboration with a school in Sweden, where we worked together with students from LBS Kreativa Gymnasiet to develop a game. Each team consisted of eight members: four game developers, three game artists, and one full-stack developer — which was my role. My responsibilities included acting as the Scrum Master, managing the Trello board, building the website, and ensuring a connection between the game and the website. I achieved this by integrating the leaderboard from the game onto the website. This is one of my favorite projects because I learned so much, gained valuable experience, and had the chance to meet many new people.
Webshop
This project was about creating a webshop and was one of the first major projects I worked on. It was completed before the rise of AI tools, so everything had to be done manually without that kind of support. The project took me around six weeks of hard work to finish. The webshop included features such as cookies, a shopping system, and item management — essentially everything a real webshop needs. One of the key lessons I learned during this project was how to avoid repeating code unnecessarily, which taught me to work smarter instead of harder.
UNO Game
I created an UNO game using JavaScript, complete with features such as rule enforcement, random card draws, and support for multiple players. Developing this project was both fun and challenging. One of the trickiest parts was figuring out how to correctly implement the rules and ensure they worked smoothly in a multiplayer setting. I spent a lot of time testing and debugging, often together with friends, to make sure everything functioned as intended. Through this process, I not only improved my coding skills but also gained a better understanding of problem-solving and collaborative testing. Overall, it was a rewarding project that combined creativity, logic, and teamwork.
Video Processor System
This project is a system I built that takes a video you upload and automatically processes it into shareable content. It finds the best moments, edits them, adds subtitles, splits the video into shorter focused parts, and even generates meta tags, titles, and descriptions so the content is ready to upload. I originally created this project for myself to test how to design a practical and efficient video automation pipeline. The idea is similar to Vizard.ai, but this system is more personal and tailored to my own workflow. If you’d like to know more or see it in action, feel free to reach out.
AI with Audio Visualizer
This project was about creating an AI for my real-life Iron Man helmet, basically an assistant that sounds and acts like Jarvis. It was also my very first project using Python, with Ollama as the AI backend. At first it started as a simple terminal-based project, but later I had the idea to add an audio visualizer that moves in sync with the AI’s responses. That part was really challenging since the visualizer wasn’t originally mine and making it work with my AI took a lot of time, experiments, and creative problem-solving. Eventually it worked, and it turned out to be super fun to use. If you have any questions about this project, feel free to reach out, I’d be happy to share more.