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Knowledge Graphs for Homelessness Resource Connection

Knowledge graphs and user interface connecting homeless individuals with real-time support resources

Built by 1 person (Team 45) · April 2026 · AI Knowledge

What it does

The project builds knowledge graphs to connect homeless individuals with support resources. The team developed two knowledge graph approaches alongside a front-end interface design to help users find services and assistance. The solution includes a prototype interface hosted on Surge that demonstrates how homeless individuals could navigate and access resource information through a user-friendly design.

How we built it

The team created two knowledge graph implementations: one using an LLM approach and another built in Neo4j with location data. They designed and prototyped a front-end user interface to present the resource information. The work combined knowledge graph development with UX/UI design to create an accessible experience for homeless individuals seeking support.

Impact

The project addresses gaps in connecting homeless individuals with available resources. By building knowledge graphs that organize and link support services, the solution aims to make it easier for people experiencing homelessness to find the assistance they need in real-time.

The challenge

Build dynamic knowledge graphs with explainable AI to connect homeless individuals with real-time resources.

See the challenge and leaderboard

Built with

Neo4jLLMSurgeGitHub

Questions and answers

What knowledge graph approaches did the team build?

The team created two knowledge graph implementations: one using an LLM approach and another built in Neo4j that incorporates location data.

Can I see the working prototype?

Yes, the team deployed a front-end prototype at homeless-resource.surge.sh that demonstrates the user interface design.

What resources are available to review the work?

The team provided demonstration videos for both knowledge graph approaches, a walkthrough of the front-end design, a GitHub repository with their code, and a presentation deck explaining the solution.

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