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Insta-Fashion 👗

Insta-Fashion is an AI-powered style recommendation platform that analyzes Instagram fashion influencer content to provide personalized fashion recommendations. Using advanced image recognition and AI, it helps users discover and develop their personal style based on visual inspiration.

Features 🌟

  • Instagram grid screenshot analysis
  • Advanced style recognition
  • Personalized clothing recommendations
  • Multi-price point suggestions
  • Smart outfit combinations
  • Style board creation
  • Social sharing features

Tech Stack 💻

  • Frontend: Next.js 15.1, React 19, TailwindCSS
  • Backend: Next.js API Routes
  • AI: OpenAI GPT-4 Vision for image analysis
  • Image Processing: Advanced computer vision for fashion recognition
  • Shopping Integration: Major fashion retailer APIs

Getting Started 🚀

  1. Clone the repository:
git clone https://github.com/yourusername/insta-fashion.git
cd insta-fashion
  1. Install dependencies:
npm install
  1. Set up environment variables:
cp .env.example .env

Then edit .env with your API keys:

OPENAI_API_KEY=your_openai_api_key_here
  1. Run the development server:
npm run dev
  1. Open http://localhost:3000 in your browser

Environment Variables 🔐

Create a .env.example file in the root directory:

# OpenAI API Configuration
OPENAI_API_KEY=

# Optional: Development Settings
NODE_ENV=development

Usage 📱

  1. Upload Instagram grid screenshots from your favorite fashion influencers
  2. Specify your preferences (budget, size, favorite retailers)
  3. Get personalized style recommendations
  4. Create and share style boards
  5. Shop recommended items directly through the platform

Project Structure 📁

src/
├── app/
│   ├── api/         # API routes
│   ├── style/       # Style analysis features
│   └── boards/      # Style boards functionality
├── components/      # Reusable components
└── utils/          # Utility functions

Contributing 🤝

Contributions are welcome! Please read our contributing guidelines for details.

License 📄

This project is licensed under the MIT License - see the LICENSE file for details.