Project Overview - Kadustra's data science team embarked on a project to brew beer using AI, aiming to improve upon existing data-driven brewing approaches [2][3] - The project involved two iterations: the first with the Kadustra team and the second with H colleagues and students, each with different goals and AI approaches [2][10] AI and Data Science Application - The team used an XGBoost model to predict beer scores based on recipes from Brewok and Untappd scores [3][4] - For the second iteration, a Bayesian approach and a hop prediction model were used to refine flavor profiles and hop selection, addressing the challenge of over 10 billion options [16][17] - AI was also used for label design (DALL-E) and text generation (GPT), including embracing "hallucinations" [6] Results and Lessons Learned - The first beer achieved a predicted Untappd score of 43%, but the actual score was 34%, indicating room for improvement in taste [8][9] - The second beer, "the honzy pie," achieved a predicted Untappd score of 38%, with an actual score of 36%, considered a success [19] - The project demonstrated that AI can be used in brewing, but craftsmanship and local ingredients are also crucial for success [8][10] Marketing and Publicity - The beer brewing project was used as a team-building activity and a giveaway at an induction event for a new professor [1][10] - The project generated publicity, including coverage on television and in newspapers [1][19] Educational and Recruitment Aspects - The project aimed to attract students to study EI (Artificial Intelligence) at the Han university [2][20] - The university offers a master's program in applied data science and AI, with limited spaces available in September and more spaces in February [21]