A sophisticated perfume recommendation system built with Next.js that helps users discover their perfect fragrance based on their preferences and personality.
🌐 Live Demo: hangiparfum.vercel.app
- 🎯 Personalized perfume recommendations
- 💫 Interactive survey system
- 🎨 Modern and responsive UI built with TailwindCSS
- ⚡ Fast and efficient recommendation algorithm
- 📱 Mobile-first design approach
- ♿ Accessibility-focused implementation
- Framework: Next.js 14 (App Router)
- Language: TypeScript
- Styling: TailwindCSS
- UI Components: Shadcn/ui
- Deployment: Vercel
- Clone the repository:
git clone https://github.com/yourusername/hangiparfum.git
cd hangiparfum- Install dependencies:
npm install
# or
yarn install- Run the development server:
npm run dev
# or
yarn dev- Open http://localhost:3000 with your browser to see the result.
/src/app- Application routes and API endpoints/src/components- Reusable UI components/src/data- Perfume database and static data/src/types- TypeScript type definitions/src/utils- Utility functions and recommendation logic
Contributions are welcome! Please feel free to submit a Pull Request.
This project is licensed under the MIT License - see the LICENSE file for details.