Inspiration

BetterSpace AI turns any floor plan or room photo into an interactive 3D model, then recommends eco-friendly furniture alternatives tailored to your exact space. Users can: • Upload room photos or floor plans • Instantly view a generated 3D layout • Explore sustainable furniture swaps inside their own room • Compare environmental impact while visualizing real designs

It makes sustainable interior design intuitive and accessible for everyone.

How we built it • Frontend: A JavaScript interface that displays a splash screen, login screen, and upload dashboard. • 3D Visualization: Three.js renders custom 3D room models generated on the fly. • Backend: A Flask server processes uploads, manages user requests, and integrates with AI services. • AI Models: Claude 3.5 Vision parses floor plans and room photos to extract geometry, measurements, and furniture metadata. • Sustainability Engine: A metadata layer containing furniture.

Challenges we ran into • Ensuring consistent parsing of diverse floor plans and hand-drawn sketches • Creating accurate 3D models from noisy user inputs • Integrating the AI pipeline with real-time rendering • Managing CORS, API limits, and asynchronous uploads • Building a polished UI under tight hackathon time constraints

Accomplishments that we’re proud of • A working end-to-end prototype that truly generates 3D rooms • Real sustainability-based furniture alternatives—not just placeholders • Seamless AI integration with a live demo that runs in seconds • A friendly user experience with multiple screens and clear workflows • Turning a complex, technical problem into an intuitive user tool

What we learned • How to combine AI vision, 3D rendering, and sustainability data in one workflow • That user experience matters as much as technical correctness • The importance of scoping features effectively during a hackathon • How powerful modern vision models are for architectural tasks • The surprising complexity of clean metadata for interior design

What’s next for BetterSpace AI • Expanding sustainable furniture databases with real retailers • Adding AR capabilities so users can “walk through” their redesigned rooms • Offering cost and carbon footprint comparisons • Allowing users to rearrange furniture inside the 3D model • Building mobile support for quick in-room scanning • Partnering with eco-friendly brands to promote greener home choices

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