Our mission is clear: to develop a resource allocation system for crisis-stricken areas. We aim to provide the most effective solutions to address urgent needs swiftly and efficiently.
In our project, we harness Copernicus data to refine resource delivery based on precise weather and atmospheric conditions, thereby bolstering safety and operational efficiency through data-driven decision-making. Additionally, we utilize Galileo data to optimize transportation routes, culminating in an integrated approach that maximizes the utility of space technologies to enhance transport efficiency and ensure timely resource delivery. Looking ahead, we plan to augment our systems with machine learning techniques to further optimize our solutions.
Our unwavering mission is to develop a cutting-edge resource allocation system for crisis-stricken areas, steadfastly committed to delivering the most efficacious solutions for addressing urgent needs with speed and precision.
Understanding and forecasting forced migration
Our project's main purpose is to optimise the existing ways of delivering people help with advanced software that analyses multiple complex solutions in short amount of time and determines the best one. It is supposed to support the international humanitarian aid efforts by allowing for better resource allocation and timely response to the needs of displaced populations, particularly in Africa, enhancing the efficiency and impact of delivering aid to these regions.
- Daria Kova - coder, research
Student of Applied Computer Science at WUT. A specialist in Data Science major.
- Karol Aleksander Cichor - business specialist, research
Computer Science and Mathematics double major, focused on optimalization and solving problems with advanced algorithms.
- Tadeusz Chmielik - research, presenter
Student of Control Engineering and Robotic at WUT. Member of Smart City and Robotic science club. Winner of 5th Cassini Hackaton.
- Adrian Chmiel - coder, research, graphic designer
Student of Applied Computer Science at WUT. Passionate about object-oriented programming.
- Bartosz Jaźwiec - designer, AI developer
Student of Control Engineering and Robotic at WUT. Member of AI and Robotic science club. Winner of 5th Cassini Hackaton.
- Maciej Staszczyk - coder, tech specialist
Student of Applied Computer Science at WUT. An aspiring artificial intelligence developer.