AI Photo Analysis Feature for Auto App

Заказчик: AI | Опубликовано: 30.11.2025
Бюджет: 750 $

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