The DAMM x Engineering HUB Hackathon brings developers and data scientists together at Pier 01 Barcelona to tackle real-world industrial and commercial challenges using AI and Data Science.
π― The Challenges-
LineWise (Operations): Optimize production line sequencing and OEE at the El Prat factory.
-
MarketPulse UK (International): Forecast international sales and simulate promotional impacts for the UK market.
-
SmartBuy (Purchasing): Build a market intelligence tool using external signals to guide raw material buying decisions.
-
Saturday, May 23
-
09:00 β Challenge Presentation & Breakfast π₯
-
11:00 β Hacking Begins π»
-
13:00 & 15:00 β AI Collective Tech Talks π§
-
21:00 β Dinner (Deleito Burgers) π
-
00:00 β Beer-Pong
-
Sunday, May 24
-
09:30 β Breakfast & Final Pitch Prep π
- 11:00 - Submissions Deadline
-
11:30 β Project Demos & Presentations π
-
13:45 β Jury Deliberation βοΈ
-
14:00 β Closing Ceremony & Awards π
Requirements
What to Build
A functional, end-to-end working data or AI prototype that solves one of the three Damm track challenges (LineWise, MarketPulse UK, or SmartBuy) with an interactive simulation UI.
What to Submit
A public code repository with clear execution instructions, a brief project description answering the submission form, and a link to a working demo or presentation video.
Prizes
Best Cala Use
200 $ in Cala credits for the best use of Cala
Winner MarketPulse Challenge
Winner LineWise Challenge
Winner SmartBuy Challenge
Overall DAMM x EHUB winner
Devpost Achievements
Submitting to this hackathon could earn you:
Judges
LΓdia OcaΓ±a
Judging Criteria
-
Functional Execution
Projects are evaluated on having a real, executable, end-to-end working flow over a broad but superficial concept. -
Data-Driven Explainability
Solutions must clearly justify their output: the tool needs to explain why a deviation occurred or why a specific recommendation is made using data, not just intuition. -
Actionability & Simulation
The project must allow user interaction to simulate real-world changes (e.g., urgent demand, promotions, market shifts) and output clear, decision-ready actions (e.g., specific line sequences, commercial levers, buy/hedge signals). -
Data Integration & Innovation
Evaluation of how effectively teams incorporate external data sources (e.g., news, macro signals, weather, scraping) and leverage modern tech like Generative AI to solve the problem.
Questions? Email the hackathon manager
Tell your friends
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.


