Leaders: Maksymilian Norkiewicz, Jędrzej Ogrodowski

The "StatutScan RAG" section focuses on creating an application to assist students in dealing with school/university administration issues and identifying sections in school/university statutes and regulations that are not legally compliant using RAG technology. We are looking for individuals with skills in web development, prompt engineering, and data scraping. If you are interested in collaborating on this project, we invite you to join us. The first meeting will be held in person and will be open to everyone. During the meeting, we will discuss project details (origin of the idea, tech stack, action plan, etc.).

Leader: Oskar Kałuziak.

The organizing team of GHOST Day - one of the best ML-focused conferences in Poland - is looking for new members. We work in sub-teams such as:
#finance_and_logistics: Managing the conference budget, organizing catering and afterparty, booking hotel rooms for invited guests, handling all necessary paperwork, etc. Everything needed to ensure GHOST Day can physically take place - our "where?" and "how?".
#marketing: Managing our social media profiles, finding and contacting media partners, creating graphics, and maintaining our website.
#speakers: Searching for potential speakers, inviting them, and maintaining further contact if they show interest.
#sponsors: Collaborating with sponsors of our conference.
By working on GHOST Day, you will have a unique opportunity to engage with top researchers and practitioners in the field of Artificial Intelligence. You will gain direct contact with professionals from renowned companies such as Google DeepMind, Meta AI, Mistral AI, OpenAI, Anthropic, Amazon, Microsoft, Intel, Nvidia, and more. This is also a chance to develop soft skills, explore the AI environment in Poland, and build your personal brand.

Leader: Martyna Stasiak.

The "Intro to ML" section is starting again – this time in a refreshed and even more practical format! These sessions are for those who want to begin their journey with machine learning and artificial intelligence. We introduce fundamental concepts such as classification, clustering, and regression in a simple and accessible way, but we don't just focus on theory. We will demonstrate how ML works in practice using real-world examples and datasets, including those from everyday life. No prior experience is required – just curiosity and a willingness to learn! We rely, among other resources, on the free book "An Introduction to Statistical Learning" (statlearning.com). Our goal is to provide a smooth and enjoyable introduction to ML and solid preparation for more advanced topics. Everyone is welcome, and if you'd like to try your hand at giving a presentation, you can volunteer to discuss a selected topic!

Leader: Dawid Siera.

Welcome to the Quantum Computing — Project! In this summer edition of the section, we will focus not only on learning quantum computing but also on applying previously acquired knowledge in scientific research projects. To avoid repeating last semester, this time we are looking only for people who are already familiar with the topic. So, if you are interested in quantum computers, want to share your knowledge with others, and would like to collaborate on a scientific project, this section is for you!

Leader: Maria Musiał.

The CV (Computer Vision) section will generally focus on image processing. This year, it will cover fundamental knowledge of both traditional approaches to image and video processing and approaches using neural networks (Convolutional Neural Networks). During the first few meetings, we will quickly go through the necessary theory to understand the problems in this field. The following sessions will be dedicated to practice: we will find a challenge on Kaggle and test our skills by creating our own algorithms or models. It would be beneficial if you are familiar with matrices, integrals, and derivatives. Alternatively, you should be willing to quickly catch up on the key required concepts to understand the code we will be writing 😉

We are looking for people willing to:

Leader: Jan Łuczka.

TinyML is a section with a hands-on and practical focus, emphasizing practical applications, where we work on projects based on microcomputers and utilize machine learning solutions. In the upcoming semester, we will be working on a wheeled platform with a LiDAR sensor for 3D mapping on a Jetson Nano computer, as well as training and deploying audio recognition models on microcontrollers.

Leaders: Maciej Mazur, Maciej Kaszkowiak, Jakub Binkowski, Jakub Grabowski, Benedykt Huszcza, Filip Kozłowski

Just getting started? Want to explore AI models from a practical perspective? In the Artificial Practical Intelligence section, you'll learn how to turn ready-made resources into working applications! Our meetings will be divided into two parts: - Lectures on cool topics – 32 mg of theory and 100 ml of practice, meaning useful knowledge in a condensed form. - Mini-projects – apply your newly acquired knowledge by developing your own ideas! We want to co-create this section with you, so join us and see if this is the right place for you.

Leader: Martyna Stasiak.

The "ML: Next Step" section is a continuation of "Intro to ML," but it is not exclusively for those who participated in it. If you already have basic knowledge of machine learning, even from personal interest, and want to explore the subject in a more practical way, these sessions are for you! During the meetings, we will delve into further aspects of machine learning, focusing on more advanced algorithms. We will work with real datasets, analyze results, and implement models in practice rather than concentrating solely on theory. The sessions are designed for coding, experimenting, and solving real-world problems. If you want to gain practical ML skills, grow, and prepare for your own projects, join us! Everyone with a basic understanding of ML and a desire to develop their skills is welcome.