
KnowHax: HelioKNOW
Helio-KNOW: Heliophysics Data Exploration Platform
Interface for exploring heliophysics data through networks, tables, and timelines
Jun 2024
Knowledge graphs and user interface connecting homeless individuals with real-time support resources
Built by 1 person (Team 45) · April 2026 · AI Knowledge
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.
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.
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 leaderboardThe team created two knowledge graph implementations: one using an LLM approach and another built in Neo4j that incorporates location data.
Yes, the team deployed a front-end prototype at homeless-resource.surge.sh that demonstrates the user interface design.
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.

KnowHax: HelioKNOW
Interface for exploring heliophysics data through networks, tables, and timelines
Jun 2024
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From the GenHax blog and press room.
On January 16, 2026, GenHax's own team facilitated an NSF session connecting seven federally-funded Proto-OKN research teams to industry. Nine months later, one of those teams shipped a research paper, two colleges started piloting the same challenge, and the week closed with a global argument over how young is too young to teach a kid to use any of it.
The OECD says AI-assisted learning gains disappear when AI is removed. NSF's Proto-OKN program proves there's a better way.
Maryland gave students an AI tutor and most of them barely used it. Two undergraduates ended up near the top of a federal knowledge graph paper. NSF is moving money toward prize challenges. Taken together, they point to the same conclusion: a tool on its own doesn't teach anyone.
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