Devpost
Participate in our public hackathons
Devpost for Teams
Access your company's private hackathons
Grow your developer ecosystem and promote your platform
Drive innovation, collaboration, and retention within your organization
By use case
Blog
Insights into hackathon planning and participation
Customer stories
Inspiration from peers and other industry leaders
Planning guides
Best practices for planning online and in-person hackathons
Webinars & events
Upcoming events and on-demand recordings
Help desk
Common questions and support documentation
We used an ensemble of machine learning models to compute a housing affordability score for a given zip code (or census tract) and designed an interactive dashboard you view an index of these scores.
Our AI-powered platform helps investors act faster, simulating real-time community feedback to reveal what residents value and where concerns lie.
Data-driven housing affordability index for policymakers.
Affordable housing in Jacksonville is shrinking as rents rise and subsidies expire. Using AI and historical data, we can spot high-risk areas early to prevent displacement.
By analyzing various aspects of housing across several U.S. cities, we created a linear regression model to find what factors influence housing displacement in Jacksonville
AI model predicts housing displacement risk, helping cities act early to prevent loss of affordable homes and protect vulnerable communities.
We built a data-driven model to identify Jacksonville’s most at-risk neighborhoods for housing loss, using AI to guide smart, equitable investment and preserve affordable housing.
Affordable Housing Affordability Index Dashboard
We turn housing and income data into insight, showing where affordability is threatened and where it’s secure, so Jacksonville can invest smarter in all communities.
23 Jacksonville neighborhoods will lose affordable housing by 2030. SPECTER uses AI to predict which ones—and why—giving officials time to intervene before 1,200+ families are displaced.
To best help understand the city we live in and its problems we have created and index for the different areas in and around it.
1 – 11 of 11
