Develop an Ai-Powered Smart Wardrobe Mobile App (Ios/Android) with Flutter

We are seeking an experienced mobile app developer to create an AI-powered smart wardrobe application for both iOS and Android platforms. The core functionality of this app is to allow users to scan clothing labels from newly purchased items. Our AI will then read the label, automatically search the internet for the product image and details, and save it to the user's personal virtual wardrobe, eliminating the need for manual photo taking.

Key features and screens include:

Wardrobe: A grid display of all saved items, with filtering options by category (tops, pants, dresses, jackets, shoes, accessories).
Scan: Functionality to capture a photo of a clothing label or input text. The AI will identify the item and fetch its official image and details from the web automatically.
Looks: A section providing personalized purchase suggestions from popular Spanish retailers such as Zara, Mango, H&M, and El Corte Inglés, complete with real prices and affiliate links.
Outfits: Users can manually combine pieces from their own virtual wardrobe to create new outfits.
Profile: A comprehensive user profile where users can input their sizes (top, pants, shoes), style preferences, fit preference (loose, regular, fitted), and favorite colors and brands.

We are open to suggestions for the tech stack, but our current preference includes:

Mobile Development: Flutter (for cross-platform iOS + Android compatibility).
Backend/Database: Supabase (for authentication, database management, and image storage).
AI Integration: Anthropic Claude API (specifically for vision capabilities to read labels and web search for product identification).
Image Search: SerpAPI or Google Custom Search API for efficient product image retrieval.

We have a fully functional HTML/React prototype that demonstrates the exact design and user flow for every screen, which can be reviewed to ensure clarity on the project's visual and functional requirements.

Phase 1 - MVP Scope:

User registration and login functionality.
Complete scan flow, including AI-driven label photo processing, web search, and automatic saving to the wardrobe.
Wardrobe section with essential category filters.
Personalized suggestions section, including real product links.
User profile management with sizes and style preferences.

Platforms: The application must be developed for both iOS and Android.
Monetization: The app will be monetized through affiliate links in the suggestions section, utilizing programs like Awin and Tradedoubler.

We are interested in hearing from freelancers who can address the following questions in their proposals:

Have you integrated third-party AI APIs (e.g., OpenAI, Anthropic) in previous projects? Please provide details.
Can you share examples of apps you've worked on that involved similar API complexity?
What is your estimated timeline for delivering an MVP with the specified scope?