Raritone

byThe raritone

Here’s a comprehensive prompt you can use with an AI app builder (such as Rork AI, Cursor, Claude Code, Lovable, or similar) to build the complete Raritone application with a 2D AI human avatar instead of a 3D model. ⸻ Build the Complete Raritone AI Fashion App Prompt You are an expert team of product managers, UI/UX designers, AI engineers, backend engineers, frontend engineers, DevOps engineers, and security specialists. Build Raritone, a production-ready AI fashion shopping platform that allows users to discover fashion, virtually try on clothes using a realistic 2D AI avatar, and purchase products directly from brands. This is not a demo. Build it as a scalable production application that can be launched on the App Store and Play Store. ⸻ Brand Company Name: Raritone Theme Luxury Minimal Modern Black & White Premium UI Apple-level animations No clutter Smooth transitions Responsive design ⸻ Platforms iOS Android Web Admin Dashboard Vendor Dashboard ⸻ Authentication Email Login Google Login Apple Login Phone OTP Forgot Password JWT Authentication Refresh Tokens Encrypted Passwords Secure Sessions Role Based Authentication Customer Vendor Admin ⸻ User Profile Profile Picture Name Age Gender Height Weight Body Type Skin Tone Measurements Saved Addresses Wishlist Order History Payment Methods Notification Settings Privacy Controls ⸻ AI Body Scan Instead of creating a 3D avatar, Create a high-quality realistic 2D AI human avatar. The process: User stands in front of camera. Capture Front Left Right Back Using computer vision: Detect body keypoints. Estimate body measurements. Estimate body proportions. Estimate posture. Estimate shoulder width. Estimate waist. Estimate hips. Estimate chest. Estimate inseam. Estimate arm length. Estimate leg length. Generate a realistic 2D avatar matching the user’s body shape, proportions, face outline (optional), skin tone, and posture. The avatar should resemble the user’s silhouette while preserving privacy. No 3D rendering. No AR. No mesh generation. The avatar must be lightweight and fast. ⸻ Virtual Try-On Engine The AI should: Segment clothes. Segment body. Estimate body pose. Warp garments realistically. Fit clothes according to measurements. Maintain realistic folds. Preserve textures. Preserve logos. Handle: T-shirts Shirts Jeans Pants Skirts Dresses Jackets Hoodies Ethnic Wear Shoes Accessories The clothing should naturally align with the generated 2D avatar. ⸻ Shopping Categories Search Filters Trending New Arrivals Recommended AI Recommendations Collections Brand Pages Product Pages Reviews Ratings Wishlist Cart Coupons Checkout Order Tracking Returns Refunds Invoices ⸻ AI Recommendation Engine Recommend products based on: Body Shape Measurements Previous Purchases Wishlist Browsing History Favorite Colors Season Budget Brand Preference Trending Products ⸻ Vendor Portal Vendor Registration Verification Store Profile Product Upload Inventory Analytics Orders Returns Coupons Promotions Revenue Dashboard Customer Reviews Notifications Wallet Payout Requests Support ⸻ Admin Panel Dashboard Manage Users Manage Vendors Approve Products Categories Orders Payments Coupons Promotions Analytics Reports CMS Push Notifications Moderation Support Tickets Logs ⸻ AI Services Body Measurement AI Pose Detection Garment Warping Background Removal Fashion Recommendation Size Recommendation Image Enhancement Duplicate Image Detection Product Tagging Search AI ⸻ Tech Stack Frontend React Native (Expo) Next.js TypeScript Tailwind CSS Backend FastAPI (Python) PostgreSQL Redis Object Storage (S3 Compatible) Authentication JWT OAuth Phone OTP AI Stack PyTorch OpenCV MediaPipe ONNX Runtime SAM2 (Body/Clothing Segmentation) Custom Garment Warping Pipeline Recommendation Model Infrastructure Docker Kubernetes Ready CI/CD Cloud Storage CDN Caching API Rate Limiting Monitoring Logging Backups ⸻ Security End-to-end encryption HTTPS JWT Rate Limiting RBAC Secure File Upload Input Validation SQL Injection Protection XSS Protection CSRF Protection Encrypted User Data GDPR Ready Privacy Controls Secure AI Processing ⸻ Notifications Push Notifications Email Notifications SMS Notifications Order Updates Price Drop Alerts Wishlist Alerts Promotions ⸻ Payment Razorpay Stripe UPI Cards Net Banking Wallets COD GST Invoice Refund Management ⸻ Performance Lazy Loading Image Compression Caching Background Jobs Offline Support Fast API Response Scalable Architecture ⸻ UI Requirements Apple-quality design Smooth animations Minimal interface Premium typography Rounded cards Dark mode Light mode Black and White branding Micro interactions Accessible design Fast navigation ⸻ Launch Ready Build every required API. Build complete database schema. Implement production-level authentication. Implement production-level security. Generate clean architecture. Create reusable components. Generate testing suite. Generate API documentation. Generate deployment configuration. Generate Docker configuration. Generate CI/CD pipelines. Generate environment variables. Generate Admin Dashboard. Generate Vendor Dashboard. Generate Customer App. No placeholders. No mock APIs. No fake data. No incomplete screens. Every button should work. Every page should function. Every API should connect properly. Every workflow should be complete. The application should be production-ready, scalable to millions of users, secure, maintainable, and ready for deployment to the Google Play Store, Apple App Store, and the web. The virtual try-on must use a realistic 2D AI avatar built from body measurements and computer vision rather than any 3D model, delivering fast performance, accurate garment fitting, and an intuitive shopping experience.