A web application designed to help first-time homebuyers find the best neighborhoods in Fairfax based on personalized criteria.

House Hackers is a web application designed to help first-time homebuyers find the best neighborhoods based on personalized criteria. Users can adjust sliders to filter ZIP codes by factors such as school ratings, number of hospitals, average home prices, population, and available housing units. The app dynamically ranks and displays the top five ZIP codes that match the selected preferences. An interactive Mapbox map visually highlights these top ZIP codes with color-coded indicators, providing both detailed rankings and geographical context to support informed home-buying decisions.

The Fannie Mae challenge inspired us to create an application for first-time homebuyers.

• Personalized ZIP code rankings based on selected criteria
• Interactive Mapbox map with color-coded ZIP codes
• Filters including school ratings, hospital count, home prices, population, and available housing units

• Frontend: React, Next.js, TypeScript, Tailwind CSS
• Backend: Python, FastAPI
• Mapping: Mapbox GL

Finding extensive and reliable ZIP code-specific datasets to analyze was challenging. Additionally, formatting our data in an appealing way and fixing bugs took considerable effort.

We're proud of implementing a color-coded heat map according to ZIP code rankings, which provides a visually intuitive way to understand the data.

Starting with a concrete idea before development always helps avoid confusion and accelerates the development process.

We hope to scale House Hackers for the entire country, incorporating more comprehensive datasets and adding additional filtering criteria to provide even more personalized results.

Check out our application here: househackers.vercel.app