Contact person: Business Client

Phone:Show

Email:Show

Location: Chicago, United States

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"AI Damage Scanner + Virtual Garage Integration (Quotes Only)

DESCRIPTION:
I have a detailing/tinting app built in FlutterFlow with Firebase. I’m looking for quotes only right now to build an AI Damage Scanner and have it fully tied into the user’s Virtual Garage. No 3D work needed. Only AI photo analysis + pricing logic + FlutterFlow/Firebase integration.

FEATURE — AI DAMAGE SCANNER
User uploads 3–6 photos of their vehicle.
AI must detect: scratches, swirls, oxidation, clear coat issues, bird etching, curb rash, stains, pet hair, trim fade, overspray, and light rust.
AI returns:
• Condition tags (light / moderate / heavy / hazard)
• Vehicle area affected (interior, exterior, wheels, etc.)
• Condition Score (0–100)
• Recommended service package

PRICE RECOMMENDATION LOGIC
AI does NOT calculate price.
It only returns condition tags.
The backend should map those tags to my stored price matrix (vehicle size, interior/exterior package, hazard level).
App must show the user:
• Recommended service
• Estimated or “starting at” price
• Button to book or request quote

VIRTUAL GARAGE INTEGRATION
Every scan must automatically create a new entry in the user’s Garage, including:
• Date of scan
• Condition Score
• AI findings
• Recommended service
• Saved photos
This becomes the first step in a long-term service timeline (digital Carfax-style history).

TECH STACK:
FlutterFlow front-end, Firebase backend. AI through OpenAI or similar (your recommendation). Must integrate with my existing source code.

PLEASE INCLUDE:
1. Total quote + per-feature cost
2. Timeline
3. Past FlutterFlow + AI work
4. Any suggestions or improvements" (client-provided description)