TasteTailor - AI-Powered Style Discovery Platform

Transform your cultural tastes into personalized fashion and decor recommendations through AI-powered taste analysis.

What it does

" Cultural Analysis: Share your favorite movies, music, and artists to discover your unique aesthetic DNA " AI Generation: Creates personalized style narratives and visual mood boards using OpenAI " Personal Gallery: Save, refine, and share your style boards with friends and community " Smart Recommendations: Uses Qloo's Taste AI to correlate cultural preferences with fashion/decor items

Tech Stack

Frontend: Next.js 15, React 19, TailwindCSS, TypeScript
Backend: MongoDB with Mongoose, Clerk authentication
AI/APIs: OpenAI GPT-4, Qloo Taste AI API
Storage: File uploads and image generation

Getting Started

Install dependencies:

npm install
Set up environment variables:

QLOOAPIKEY=yourqlooapikey OPENAIAPIKEY=youropenaiapikey MONGODBURI=yourmongodbconnectionstring NEXTPUBLICCLERKPUBLISHABLEKEY=yourclerkkey CLERKSECRETKEY=yourclerksecret
Run the development server:

npm run dev

Open http://localhost:3000 to see the application.

Features

" Create style boards based on cultural tastes " AI-generated clothing item recommendations
" Shareable style boards with unique URLs " Favorites system for saving preferred boards " User authentication with Clerk " Responsive design with modern UI

API Endpoints

" POST /api/generate - Generate style boards from cultural inputs " GET/POST /api/styleboards - Manage user style boards
" GET/POST /api/favorites - Handle favorite boards " POST /api/generate-stream - Streaming AI generation