CrisisCompass

Map Area
Figma Make
Databricks
Data Observation
Chat Assistant

Inspiration

The Databricks x United Nations challenge has brought us together with a common goal of improving access to food security and nutritional diets in areas that are surrounded by national disasters and crises.

What it does

1/ Map Visualization: Showcase nations that are vulnerable to the risks of losing access to food or developing malnutrition, allowing analysts to pick up the trends and recognize the health risks.

2/ Visualize: Our data not only provides the correlations to why food supply and nutrition influence healthcare, but also building pattern in health and food spending that can be tracked and observe from.

3/ Assistance: With the app assistant powered by Gemini 2.5 Flash, analysts can get real-time support with data observation and other visualization areas that allow users to

How we built it

1/ Our program data was trained using the Databricks platform to convert our data into an organized volume set of input files that can be used to analyze the correlation of funding in Healthcare with funding in food security and nutrition. We found that there are some correlations in these data, with the trend of food security and nutrition demands decreased while health demand increased during the last two years.

2/ Other data observations in our training helped build the foundation of our website, and were prototyped using Figma Make. We built the application with React.js, host with Vercel, and utilized the OpenStreetMap library to build our area observation and analysis.

3/ Our chat assistant is built using Streamlit and Gemini 2.5 Flash and placed in the visualization page.

Challenges we ran into

Our initial idea was to build a financial application for this type of project, but we figured that it could be harder for our topic. This is our first time using Databricks for a machine learning and data science project, and we love the software integration with GitHub.

Accomplishments that we're proud of

We are proud to learn from students at Georgia Tech and build a project that contributes to the positive impact of humanity.

What we learned

We learned to develop our application with Databricks (Free Edition), and work with different types of data to observe, analyze, and build our solution app for the benefit of social good.