Open House APP

The intelligent open house solution that captures leads and generates instant local insights using Gemini 3.

Comment

Inspiration

I have attended many open houses where the first interaction is a clipboard and a messy, handwritten sign-in sheet. It’s a friction point that feels outdated in an otherwise high-tech world. Visitors rush through it, handwriting is often illegible, and the data usually sits on that paper for days before being digitized.

I wanted to replace that clipboard with an experience that feels as premium as the property itself. But more than just capturing names, I wanted to give value back to the visitor immediately.

What it does

Open House APP is a digital solution for modern real estate agents.

  1. Seamless Sign-In: It replaces paper forms with a beautiful, luxury-themed interface that works on any tablet or mobile device.
  2. AI Local Concierge: This is the core innovation. Using Gemini 3, the app instantly scouts the neighborhood. When an agent sets up the open house, they simply type the listing address, and the app generates a curated list of nearby amenities—top-rated dining, grocery shopping, transportation, and schools.
  3. Agent Empowerment: It allows any agent (even a covering agent who doesn't know the area) to look like a local expert instantly, answering questions like "Where is the nearest train station?" with AI-verified data.

How we built it

The project started in Google AI Studio, where I tested prompts to see if Gemini could reliably return structured data for real estate amenities. Once I refined the prompt to output clean, categorized lists (Dining, Transport, Schools), I moved to development.

  • Frontend: I built the interface using HTML5, JavaScript, and Tailwind CSS for a responsive, "glass-morphism" luxury aesthetic.
  • AI Integration: I connected directly to the Gemini 3 API (Flash Preview) using REST fetch calls. This allows the app to be lightweight and run in the browser without a heavy backend.
  • Data Handling: The app captures lead data locally and exports it to CSV, ensuring data privacy while leveraging the cloud only for the AI intelligence.

Challenges we ran into

  • Cross-Platform Design: Making the "Glass" UI look consistent across different screen sizes (mobile phones vs. iPads) was difficult. I had to rewrite the layout logic several times to ensure the input fields didn't get cut off on smaller screens.
  • Gemini 3 Integration: As an early adopter of the Gemini 3 Flash Preview model, I had to navigate the differences between the new SDK and standard REST API calls, eventually optimizing the JSON body structure to correctly pass the generationConfig.

Accomplishments that we're proud of

I am most proud of the "Local Insights" feature. Seeing the app take a raw address and return a perfectly formatted list of local hotspots in seconds feels magical. It transforms a static form into an intelligent tool. I'm also proud of the "Navy & Gold" design system—it genuinely looks like a piece of software a luxury brokerage would pay for.

What we learned

I learned how to harness the speed of Gemini 3 Flash. I was surprised by how fast and concise the model is compared to previous iterations. I also learned a lot about "Prompt Engineering" for structured data—realizing that asking for specific emojis and categories yields a much better user interface than asking for a generic paragraph.

What's next for Open House APP

  • Mortgage Integration: Connecting with lenders to show real-time rate estimates based on the listing price.
  • Auto-Follow Up: Integrating an SMS API to instantly text the visitor a "Thank You" note with the AI-generated neighborhood highlights included.
  • CRM Sync: Building direct integrations with major real estate CRMs so leads flow automatically from the iPad to the database.

Built With

Share this project:

Updates