Meal: Modern Meal Planning & Kitchen Management App

Meal is a modern, responsive web application for meal planning, recipe management, and kitchen organization. Built with Next.js, React, and TypeScript, it empowers users to efficiently plan meals, manage pantry inventory, and streamline cooking with interactive tools.

🚀 Project Overview

Meal helps individuals and families:

• Discover, create, and manage recipes
• Plan weekly meals and generate shopping lists
• Track pantry inventory and reduce food waste
• Use cooking mode with step-by-step instructions and timers

🛠️ Key Features

• Recipe Management: Add, edit, and view recipes with rich details
• Cooking Mode: Guided, distraction-free cooking with timers and progress tracking
• Pantry Manager: Track ingredients, manage stock, and get suggestions based on available items
• Kitchen Timers: Multiple, customizable timers for multitasking
• Responsive UI: Optimized for mobile, tablet, and desktop
• Performance Optimizations: Memoization, code splitting, and efficient state management
• Secure Authentication: (If implemented) User accounts and data privacy
• AI-Powered Recipe Generation: Instantly generate custom recipes using advanced AI (LLM) based on user preferences, dietary restrictions, and available ingredients

🏗️ Technology Stack

• Frontend: React, Next.js, TypeScript
• Styling: CSS Modules, modern CSS
• State Management: React Context/State Hooks
• Backend/API: Next.js API routes (extendable to external APIs)
• Testing: (Recommend) Jest, React Testing Library
• Build Tool: Bun, Node.js

⚙️ Architecture & Best Practices

• Component-based Design: Modular, reusable UI components
• SOLID Principles: Maintainable and extensible codebase
• Performance:
  • React.memo, useMemo, useCallback for optimal rendering
  • Code splitting and lazy loading
  • Efficient timer and event management
• Security:
  • Input validation and error handling
  • (If applicable) Secure authentication and least-privilege data access
• Scalability:
  • Stateless services, modular structure, and easy API extension
  • AI Integration: Uses large language models (LLMs) to generate recipes and ingredient substitutions dynamically (see lib/llm.ts for implementation)

🏁 Getting Started

1. Install dependencies:

   npm install
   # or
   yarn install
   # or
   pnpm install
   # or
   bun install

2. Run the development server:

   npm run dev
   # or
   yarn dev
   # or
   pnpm dev
   # or
   bun dev

3. Open your browser: Visit http://localhost:3000

4. Edit pages/components: Modify files in app/ or components/ to customize features.

🧪 Testing

• (Recommended) Add and run tests with:

  npm test
  # or
  yarn test

🌐 Deployment

• Deploy easily on Vercel or any platform supporting Next.js.
• See Next.js deployment docs.

🤝 Contributing

Contributions are welcome! Please open issues or submit pull requests for new features, bug fixes, or improvements.

📄 License

MIT (or specify your license here)

🙏 Credits

• Built with Next.js, React, and TypeScript
• Inspired by modern kitchen and meal planning needs

---

For questions or feedback, please open an issue or contact the maintainer.