AI Photo Analysis Feature for Auto App
Budget: $250 – $750 USD
We are building a next-gen detailing/tinting mobile app for Porter’s Detailing (Illinois, USA).
The app already includes:
• Customer accounts
• Virtual Garage
• Service history (backend in progress)
• Square booking
• Push notifications
• Automated marketing engine
• Loyalty system
• Tint/Ceramic AI visualizer (separate dev)
Now we want a simple, lightweight AI photo analysis tool added.
⸻
Feature Needed: AI Quick Condition Scan
This is NOT a full diagnostic system.
This is a clean, fast, photo-based assistant that does 3 things:
1. AI Photo Insight (Basic Descriptions)
Customer uploads 2–5 photos of their car (interior or exterior).
AI returns:
• Simple cleanliness/condition comments
• Visible issues (scratches, swirls, dog hair, stains, wheels dirty, etc.)
• Highlights areas needing attention
NO predictive scoring.
NO deep health score.
Just helpful descriptions.
⸻
2. Service Suggestion (Based ONLY on what AI sees)
Based on the photo insights, the system recommends one of the shop’s existing packages, such as:
• Interior Deep Clean
• Exterior Detail
• Full Detail
• Ceramic Coating
• Tint Removal / Tint Refresh
No pricing.
No automatic upsell logic.
Just a simple “Based on what we see, these services may fit your needs.”
⸻
3. Quick Actions
After scanning, the user sees:
• “Book This Service” button
• “Save to Virtual Garage” button
That’s it. Simple and effective.
⸻
Deliverables
Front-End (Flutter)
• Photo upload UI
• Simple scanning animation
• AI result screen
• Service suggestion screen
• Save-to-Garage button
• Book-Service button (deep link to existing booking)
Backend
• Cloud function for sending photos to AI
• Basic prompt engineering
• Return simple description + services
• Save results to Firebase
AI Model
You may use:
• OpenAI Vision
• Google Vision
• Replicate
(or similar)
⸻
Budget
$900 – $1,500 USD
This is a lightweight feature — not a $4,000 predictive engine.
We ONLY want simple photo insights + recommended service + save-to-garage.
⸻
Qualifications
• Senior Flutter or strong mid-level Flutter developer
• Experience with AI image analysis tools
• Firebase/Firestore experience
• Clean UI work
• Ability to integrate cleanly with existing backend
The app already includes:
• Customer accounts
• Virtual Garage
• Service history (backend in progress)
• Square booking
• Push notifications
• Automated marketing engine
• Loyalty system
• Tint/Ceramic AI visualizer (separate dev)
Now we want a simple, lightweight AI photo analysis tool added.
⸻
Feature Needed: AI Quick Condition Scan
This is NOT a full diagnostic system.
This is a clean, fast, photo-based assistant that does 3 things:
1. AI Photo Insight (Basic Descriptions)
Customer uploads 2–5 photos of their car (interior or exterior).
AI returns:
• Simple cleanliness/condition comments
• Visible issues (scratches, swirls, dog hair, stains, wheels dirty, etc.)
• Highlights areas needing attention
NO predictive scoring.
NO deep health score.
Just helpful descriptions.
⸻
2. Service Suggestion (Based ONLY on what AI sees)
Based on the photo insights, the system recommends one of the shop’s existing packages, such as:
• Interior Deep Clean
• Exterior Detail
• Full Detail
• Ceramic Coating
• Tint Removal / Tint Refresh
No pricing.
No automatic upsell logic.
Just a simple “Based on what we see, these services may fit your needs.”
⸻
3. Quick Actions
After scanning, the user sees:
• “Book This Service” button
• “Save to Virtual Garage” button
That’s it. Simple and effective.
⸻
Deliverables
Front-End (Flutter)
• Photo upload UI
• Simple scanning animation
• AI result screen
• Service suggestion screen
• Save-to-Garage button
• Book-Service button (deep link to existing booking)
Backend
• Cloud function for sending photos to AI
• Basic prompt engineering
• Return simple description + services
• Save results to Firebase
AI Model
You may use:
• OpenAI Vision
• Google Vision
• Replicate
(or similar)
⸻
Budget
$900 – $1,500 USD
This is a lightweight feature — not a $4,000 predictive engine.
We ONLY want simple photo insights + recommended service + save-to-garage.
⸻
Qualifications
• Senior Flutter or strong mid-level Flutter developer
• Experience with AI image analysis tools
• Firebase/Firestore experience
• Clean UI work
• Ability to integrate cleanly with existing backend