FF&E Analyzer AI

An intelligent interior design tool that leverages Google's Gemini 3 Pro model to identify, count, and localize Furniture, Fixtures, and Equipment (FF&E) in uploaded photos.

Screenshot

Example analysis showing detected FF&E items in an interior scene, with bounding boxes highlighting furniture, artwork, and decor elements.

Photo by Thai Nguyen Anh on Unsplash

Features

• AI Object Detection: Automatically identifies furniture, lighting, and decor items in interior images.
• Visual Localization: Draws precise bounding boxes around detected items to visualize placement.
• Detailed Analysis: Provides a specific label and visual description (material, color, style) for each item.
• Design Summary: Generates a brief overview of the room's style and collection.
• Export to Excel: Download the analyzed inventory list as a CSV file for reporting.

Tech Stack

• Frontend: React 19, TypeScript
• Styling: Tailwind CSS
• AI Model: Google Gemini 3 Pro (via @google/genai SDK)

Prerequisites

• Node.js: v18 or higher
• Google Gemini API Key: Obtain one from Google AI Studio

Getting Started

1. Clone the repository

   git clone https://github.com/EyalIv/ffe-analyzer-ai.git
   cd ffe-analyzer-ai

2. Install dependencies

   npm install

3. Set up your API key

   Create a .env file in the root directory:

   GEMINI_API_KEY=your_api_key_here

4. Run the development server

   npm run dev

5. Open your browser and navigate to http://localhost:5173

How It Works

1. Image Upload: The user provides an image of a room or specific furniture piece.
2. Gemini Analysis: The image is sent to the Gemini 3 Pro model with a specialized system instruction to act as an FF&E expert.
3. Data Extraction: The model returns a structured JSON response containing:
   • A list of items with labels and descriptions.
   • 2D bounding box coordinates for each item.
   • A summary of the design.
4. Visualization: The app renders the bounding boxes over the original image and populates a data table.
5. Export: Data is formatted into a CSV structure for easy export to Excel.

Usage

1. Upload: Drag and drop or select an interior design photo.
2. Analyze: Wait for the AI to process the image and identify objects.
3. Review: Hover over the bounding boxes to see labels, or check the table for full descriptions.
4. Export: Click "Download Excel Report" to save the data.

License

This project is open source and available under the MIT License.