AI Home Makeover App

Reimagine your space with the power of AI.

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Inspiration

The inspiration for the AI Home Makeover App came from a common frustration: the difficulty of visualizing interior design changes.
Many people dream of redecorating but are held back by uncertainty.
Will that dark paint color make the room feel too small?
Will that sofa I saw online actually fit the vibe of my living room?

We wanted to bridge this gap between imagination and reality.
With the recent explosion in generative AI, we saw the perfect opportunity to create a tool that empowers anyone to become their own interior designer — risk-free.

What it does

AI Home Makeover is a web-based design tool that transforms photos of your home in seconds.
Users can upload an image of any room and use a suite of AI-powered tools to:

  • Restyle Entire Rooms – Instantly apply new design aesthetics like Minimalist, Bohemian, or Industrial to a room.
  • Change Paint & Materials – Experiment with different wall colors or change flooring from carpet to hardwood with a simple text prompt.
  • Virtually Place Furniture – Upload a photo of any piece of furniture and interactively place it into your room. The AI handles:
    • Background removal
    • Perspective
    • Scale
    • Realistic lighting
  • AI De-clutter – Instantly remove clutter from a room to get a clean slate for redesigning.

How we built it

The application was built with a modern web stack designed for a responsive and interactive user experience.

Frontend:

  • HTML5
  • Tailwind CSS
  • Vanilla JavaScript
    We focused on a clean, intuitive, and mobile-first design that makes powerful AI features accessible to everyone.

Backend & AI:

  • Backend server interfacing with a powerful generative vision AI model.
  • When a user submits a request (e.g., "make the wall navy blue" or place a new furniture item), the frontend sends:
    • Original image
    • Furniture image (if applicable)
    • User's prompt
  • The backend processes this using techniques like inpainting and image-to-image translation to generate a high-fidelity "after" image.

Challenges we ran into

  • Photorealism in Furniture Placement – Avoiding the "pasted object" look required fine-tuning AI interpretation of:
    • Room perspective
    • Light sources
    • Shadows
  • Intuitive Object Placement – Text prompts alone weren’t enough.
    We developed an interactive "tap-to-place" mechanic to give users precise and natural control.

Accomplishments that we're proud of

  • Interactive AI Furniture Placement – Our core innovation, solving a real-world problem for furniture shoppers.
  • Seamlessly uploading a product photo and seeing it realistically rendered in your own room.
  • A clean, responsive UI that makes complex technology simple and fun to use.

What we learned

  • Nuances of prompt engineering for visual AI.
  • Realistic results require:
    • A strong model
    • Smart user input handling
    • Image masking
    • Structured prompts
  • Importance of user-centric workflow – even the best tech fails if it’s not easy and enjoyable to use.

What's next for AI Home Makeover App

  • E-commerce Integration – Click on virtually placed furniture to get direct purchase links.
  • AI Style Recommendations – Personalized suggestions for furniture and color palettes.
  • Video Makeovers – Upload a short video for immersive, 3D transformations.
  • Collaborative Features – Share designs with family, friends, or designers for feedback within the app.

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