The team has taken part in 6 hackathons focused on data intensive solutions backed with artificial intelligence. Projects ranged from large scale copper blast furnace stabilizer to financial supervision data integration platform. Major themes included: ecology and energy efficiency, fair markets, refugee crisis management, fight against disinformation.
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Advanced solution featuring real-time financial data processing with machine learning-powered risk assessment and regulatory compliance automation. The system integrated multiple data sources for comprehensive financial supervision dashboard.
Solution included large scale webscraping solution for banking deposit products offering.
Solution included large scale webscraping solution, KIIDs PDF data processing and integration framework and novel computer vision algorithm for risk classification detection.
Solution used open data from 3 major gov APIs to feed a refugee crisis management dashboard. Dashboard provided informative insights about social, economic and demographic considerations for geographically optimal refugee allocation. The hackathon took place 2 months after start of war in Ukraine when more than 3 million refugees entered Poland seeking shelter.
Copper blast furnace emitted energy levels stabilization problem was solved with a predictive model paired with controller. The solution has been adjusted and is now used in production to orchestrate control parameter changes at $675M blast furnace. Less than 5 such installations exist around the globe.
The team designed a data integration platform for official and media coverage on Covid19. Paired with novel fake news detection algorithm, solution proofed to be a reliable central spot for pandemic-related information and announcements.
The team created a large scale spatial predictive model to forecast air pollution levels with high granularity.