Contact person: Business Client

Phone:Show

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Location: Chicago, United States

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"We are building a next-generation detailing/tinting app for Porter’s Detailing (Illinois, USA).
The app already includes:
• Customer accounts
• Virtual Garage
• Service history (backend in progress)
• Square booking
• Push notifications
• Loyalty system
• Tint/Ceramic visualizer (separate developer)

We now want a premium AI feature added:

AI Deep Vehicle Scan + Predictive Service Engine

This feature will allow customers to upload photos of their vehicle and receive:
1. AI Condition Report
• Paint condition (swirls, oxidation, water spots)
• Headlight clarity
• Tint condition
• Interior dirt level
• Pet hair presence
• Wheel contamination
• Stains, odors, debris
• Overall “vehicle health score”
2. Predictive Service Recommendations
Using:
• Vehicle year/make/model
• Mileage
• Local weather API
• Past service history
• Condition detected from photos
• Coating/tint age
The system will output recommended services such as:
• Paint correction
• Ceramic coating
• Interior deep clean
• Headlight restoration
• Wheel detox
• Tint removal or refresh
3. Personalized Service Plan
• Creates a custom “Service Plan” with recommended services, pricing, and timing
• Includes a button to Book Service Now
• Auto-saves to the customer’s Virtual Garage
4. AI Timeline Integration
Each scan becomes part of the car’s history:
• AI reports
• Before/after photos
• Service recommendations
• Service completion logs

Backend endpoints for Virtual Garage and history are already being built by another developer — you will connect your feature into that system.

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Deliverables

1. Full Front-End Flow (Flutter)
• Photo upload UI
• Scanning animation
• AI result screen
• Service recommendations screen
• “Book this service” integration
• Save-to-Garage button

2. Backend Logic
• Cloud Functions or server to handle image analysis
• Condition scoring system
• Predictive recommendation engine
• Saving scan results to Firebase

3. AI Integration

You may use:
• OpenAI Vision
• Google Vision
• Replicate
• Stability AI
• Or similar tools

Feature requires reliable prompt engineering + model chaining.

4. Testing
• Full testing across iOS and Android
• Edge cases (bad photos, missing data)
• Fail-safe pathways

5. Documentation
• Code explained
• Cloud Functions documented
• API calls listed
• Instructions for expanding the model later

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Qualifications Needed
• Senior Flutter developer
• Experience with AI (Vision, image analysis)
• Firebase/Firestore expertise
• Experience building predictive logic
• Clean and modern UI skills
• Ability to deliver polished, stable features

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How to Apply

Send:
1. Your experience with AI + Flutter
2. Examples of AI/image projects
3. Estimated timeline
4. Estimated cost
5. How you would structure the logic
6. Tech stack you want to use

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This feature will be the flagship feature of the app. Looking for someone who can deliver something visually impressive, stable, and premium" (client-provided description)