National AI Hackathon 2026: A Weekend of AI, Big Ideas and Impressive Results

National AI Hackathon 2026: A Weekend of AI, Big Ideas and Impressive Results

The National AI Hackathon 2026 by schubKI has officially wrapped up yesterday, and we’re excited to share the results of a packed weekend of coding, problem-solving and impressive work from students across Germany!

205 participants, 67 teams, 51 projects, 37 universities and 31 cities. Over 1 intensive weekend, students worked on 4 industry challenges, putting their technical skills, creativity and problem-solving abilities to the test.

Constructor Labs and Constructor Tech joined as Challenge Partners, bringing 2 challenges directly from our research and engineering work.

Camera-Based Localization on a Race Track challenged teams to estimate an autonomous race car’s position and heading using camera data without relying on GNSS or LiDAR. The track was led by Ilia Shimchik, Principal Investigator at Constructor Labs and Team Principal of Constructor Racing.

Mind Reading Using Machine Learning and EEG Track asked participants to develop machine learning approaches capable of identifying visual content from recorded brain activity. The track was led by Dr. Sari Saba Sadiya, Principal Investigator at Constructor Labs.

After 48 hours of coding, testing and refining their solutions, we’re excited to congratulate the teams that earned the top spots in our 2 tracks!

CONSTRUCTOR LABS | WINNING TEAMS

1st place: Tiramisu
Maksim Velikanov and Prafful Ravuri (University of Freiburg)

2nd place: Flying Anchovy
Alexander Pavlenko, Farkhat Almukhamedov, Vadim Chaikin and Vladislav Imashev (University of Bonn)

3rd place: Hamiltons
Johannes Jiryis (KIT), Parikshit Rathode (FAU Erlangen-Nürnberg), Asmina Nassar and Kunting Duan (Otto von Guericke University Magdeburg)

CONSTRUCTOR TECH | WINNING TEAMS

1st place: WorksOnMyMachine
Cedrico Knoesel, Jonathan Trebels, Linus Käshammer and Torben Pannier (KIT), Joram Schilling (Hochschule Karlsruhe)

2nd place: AI Toddlers
Daniel Daenecke, Livien Mauro Majer and Sebastian Leitl (KIT), Sofiya Asadchaya (University of Bonn)

3rd place: Krabiki
Tamirlan Bektemissov, Ashim Kultazin, Alikhan Nurdaulet, Kanat Parpiev and Azamat Seitzhan (KIT)

Both first-place teams received a €3,000 prize, while the second- and third-place teams are being offered mentoring sessions with their respective track owners.

We’d also love to stay connected with our winning teams beyond the hackathon. Constructor Labs currently has PhD and internship opportunities available, and winning team members interested in joining us are welcome to apply. Their applications will be prioritised for interviews.

🔗 Explore our open positions: https://lnkd.in/eQhJZpQA

We’re equally grateful to the schubKI team, especially Nadezhda Stiazhkina and Alena Salakhova, for organising the hackathon, and to everyone who contributed to making it happen.

Special thanks to our jury members, Prof. Dr. Andreas Birk , Professor of Electrical Engineering and Computer Science at Constructor University, and Sungat Serikbay, JetBrains Foundation Scholar and BSc student at Constructor University, for contributing their expertise to the evaluation of the hackathon projects.

Most importantly, congratulations to every team that took part. Tackling unfamiliar research problems, working with complex data and delivering a functioning solution in 48 hours takes serious effort and skill.

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