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. ⸻ 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 ⸻ 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 ⸻ 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 ⸻ This feature will be the flagship feature of the app. Looking for someone who can deliver something visually impressive, stable, and premium