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metadata 
title: Property Damage Inspector & Matcher
emoji: 🏠
colorFrom: blue
colorTo: green
sdk: docker
app_port: 7860
pinned: false

🏠 AI Property Damage Inspector & Inventory Matcher

An advanced computer vision pipeline combining DINOv2, Grounded-SAM, and MLLMs (Gemini, Llama Vision, GPT-4o) to automate inventory matching and damage assessment between "Before" and "After" states.

🌟 Key Features

  • Directory-wide Batch Comparison: Matches items between two folders automatically using a DINOv2 cls, patch matching, and SIFT+RANSAC cascade.
  • AI-Powered Damage Detection: Inspects matched pairs for deep scratches, breakages, or tears using multi-API providers (Gemini, OpenRouter, OpenAI, Groq).
  • Damage Segmentation (Grounded-SAM): Automatically generates precise segmentation masks where damage is located using Grounding DINO + SAM.
  • Premium Bilingual Reports: Exports a consolidated, interactive, self-contained dark-mode HTML report (English & Arabic) embedding all base64-encoded images.

🚀 Deployment on Hugging Face Spaces

This repository is configured to deploy directly to Hugging Face Spaces using Docker.

How to Deploy:

  1. Create a new Space on Hugging Face.
  2. Select Docker as the SDK.
  3. Upload all the files from this directory.
  4. Add your API keys (e.g., OPENROUTER_API_KEY, GEMINI_API_KEY) under Settings > Variables and secrets in your Hugging Face Space if you want to preload them.
  5. Hugging Face will build the container and start the web UI automatically.