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Aurora is an AI vehicle damage assessment tool. Upload photos of a damaged car and get an itemised, insurer-ready repair estimate in minutes.
Full description
Aurora turns photos of vehicle damage into a professional, panel-by-panel repair quote. The user uploads a photo of the vehicle’s license disc and up to 10 damage photos. Aurora identifies the vehicle, works out which panels and components are damaged, and produces a PDF estimate with three pricing tiers (Economy, Mid-tier and OEM) that can go straight to an insurer or panel shop.
It was built for the South African panel-beating and insurance market, where quotes normally need a physical inspection and a wait. It’s developed in partnership with International Panel Shop in Cape Town, which makes the output practical for real workshops.
What makes it more than a photo classifier:
Itemises repairs the way a real assessor does: supply, strip and assemble, and prime and spray for each panel, plus blend lines for adjacent panels.
Draws on collision-repair trade knowledge, including which components a given impact pattern predictably affects (radiator, A/C condenser, cradle sections, bonnet hardware, grille parts).
Separates outsourced mechanical work (cooling, A/C, suspension and steering) into its own section with a coordination fee.
Runs a second AI pass that independently checks the first one’s work, including left/right orientation, which is a common failure for vision models.
Lets the user manually confirm left or right on any photo as a hard override.
Learns from real data. Verified quotes, invoices and Audatex-style estimates from genuine motor-trade businesses are stored and blended into future pricing, so accuracy improves as more real documents are uploaded.
Cross-checks vehicle market value and part prices against live web search.
Works as an installable PWA on any device, with light and dark themes.
Tech stack
AI: Google Gemini (3.8 Flash) with Google Search grounding, plus Google Cloud Vision as a secondary cross-check
Backend: Firebase Cloud Functions (2nd gen, Node.js) on Google Cloud
Data and storage: Cloud Firestore, Cloud Storage, Secret Manager
Auth: Firebase Authentication (email and Google sign-in), with server-side access control
Frontend: HTML, CSS and JavaScript PWA with Tailwind CSS, hosted on Firebase Hosting
Infrastructure: Cloudflare for DNS and CDN, custom domain at aurora-repair.com
Structured data: JSON-LD schema (SoftwareApplication, FAQ, Organization) and an llms.txt file so AI search engines can cite it
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