# MINI CHALLENGE: Fix the Broken Map – Rebuilding America's Homeless Resources Data
Outdated shelter data leaves thousands sleeping rough while beds sit empty. Can you fix the broken information system?
Nov 19 to Nov 19, 2026
Technology
Python solutions and the people who built them
6 solutions built by 21 people across 6 challenges between Mar 2026 and Jun 2026. Teams worked with Natural Language Processing, SPARQL and Named Entity Recognition. 1 challenge is open or coming up.
- Solutions
- 6
- Builders
- 21
- Challenges
- 6
- Open or upcoming
- 1
Open and upcoming challenges
Join on your own or with a team. Free to take part.
Solutions
6 solutions. Winners first, then the most complete projects.
Video
Hack Climate Models
Climate Data Literature Ontology and Entity Recognition System
Structured knowledge base and entity recognition for climate research publications and datasets
1 builder · Sep 2025
Video
Secure SaaS Supply Chains
SBOM Analyzer with NLP Query System
Tool that analyzes software dependencies and vulnerabilities using real-time knowledge graph data
5 builders · Apr 2025
Education
Network Graphs · OpenAlex API · Python
Video
CollabNext
Geographical Mapping Integration for HBCU Research Networks
Interactive map visualizing HBCU research collaborations and institutional connections through OpenAlex data
6 builders · Sep 2025
Video
SCALES
NER for Court Cases
Named entity recognition to classify government and person entities in U.S. criminal court records
2 builders · Jun 2024
Housing & Homelessness
Knowledge Graphs · AI · Python
DREAM-KG Homelessness Support
Interactive Use Case Explorer for DREAM-KG
Documents 18 queries for the DREAM-KG homelessness support knowledge graph and identifies data gaps
4 builders · Apr 2026
Business & Commerce
AI Agents · Prompt Engineering · Python
Code Your First AI App or Agent: From Zero to Prototype 02/05
Financial Data Consolidation Agent
AI agent that consolidates financial spreadsheets from multiple energy systems into one unified tab
3 builders · Mar 2026
Builders
People who shipped solutions here. Their profiles show the skills behind the work.
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Skills and technologies
Impact
Questions
How many solutions using Python are on GenHax?
6 solutions so far, from 6 challenges: SCALES, Secure SaaS Supply Chains, Hack Climate Models and CollabNext and more. 4 include a video demo.
Who builds these solutions?
21 people contributed, working in teams, including U. T., D. B. and R. L.. Each builder's profile shows the skills they used and the solutions they shipped.
What skills and technologies do these teams use?
The most common are Natural Language Processing, SPARQL, Named Entity Recognition, Knowledge Graphs and Ontology Mapping.
Are there upcoming challenges using Python?
Yes: # MINI CHALLENGE: Fix the Broken Map – Rebuilding America's Homeless Resources Data. You can join on your own or with a team.
How do I get my work featured here?
Join a GenHax challenge and submit your team's solution. Submitted solutions get a public page that credits every builder and links to their profile.
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