Inspiration
Humanitarian decisions are slow and fragmented, one clear map that turns that turns global decisions and research into instant and practical action. Millions of lives can be saved if agencies had the proper and instant knowledge of the environment to deliver the correct aid at the correct time.
What it does
A large interactive map is shown on the website. This map is color coded with the intensity of the Mismatch-an indicator of how drastic the difference is between the aid they need and the aid they are given. When the user hovers on the country, the risk factor also shows up, showing a deeper insight on the intended country, and when the user clicks on the country, further insight is given on how the aid should given. Lastly, the user can prompt recommended logistics that can be further taken to hyper-focused response for each specific active crisis a country has.
How we built it
First, we got the data given by UN and other international organizations to build a Risk Index and a Mismatch Index. We constructed formulas to create the Risk index and the Mismatch index and also created different thresholds for each of them to visualize the intended country's issues. Lastly, we integrated the Anthropic API model to give a personalized solution for each specific issue. After that, we integrated the entire model into one entire back-end system. Then, we worked on the UI and the front-end development, where we implemented the interactive map, the hover/click system of the map, the visual statistics of the selected country in the sidebar, and then we added a scroll type UI where the user learns more about the statistics of humanitarian aid.
Challenges we ran into
Some challenges we ran into is that integrating different aspects into one system was more complicated than expected, a lot of debugging had to occur to completely clean the program. For example, the interactive map did not show up a few times during integration and the sidebar was always present even when the country was not selected.
Accomplishments that we're proud of
We are proud of the fact that we made an efficient way to track how to give aid and track how it will be used. We also turned abstract numbers into clear delivery systems that will effect millions of people get the type aid the need. We are also are proud of how we turned multiple different indexes into two separate formulas to create a concise way to visualize a specific point.
What we learned
We learned a lot of architecture and how the different aspect of the program creates a large system. This system is built by specialized components that forms a larger purpose. We also learned how ineffective humanitarian aid can be and a lot of resources and time can be saved if they are prioritized properly.
What's next for AidSignal
AidSignal will make an efficiency indicator which show how effective it is. We plan to collaborate with UN representatives to make resources well spent and to make sure everyone in need gets the aid in time.
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