Frontend:  Next.js 15 + React + TypeScript + Tailwind CSS
Backend:   Next.js API Routes + Supabase Database
AI:        OpenAI Responses API (gpt-5-nano-2025-08-07)
UI:        shadcn/ui Components
Auth:      Supabase Authentication
Deploy:    Vercel + Automated Database Setup

Deploy instantly to Vercel with automated database setup:

1. Create a Supabase project and add credentials to Vercel environment variables
2. Run npm run db:push to set up database schema
3. Set up OpenAI API key for the Responses API

• Node.js 18+ with npm/pnpm/yarn
• Supabase account (free tier available)
• OpenAI API key

1. Clone the repository

   git clone https://github.com/Emlembow/vibe-dieting.git
   cd vibe-dieting

2. Install dependencies

   npm install
   # or pnpm install / yarn install

3. Environment setup

   cp .env.example .env.local

   Fill in your credentials:

   # Supabase
   NEXT_PUBLIC_SUPABASE_URL=https://your-project.supabase.co
   NEXT_PUBLIC_SUPABASE_ANON_KEY=your-anon-key
   SUPABASE_SERVICE_ROLE_KEY=your-service-role-key
   
   # OpenAI
   OPENAI_API_KEY=sk-proj-your-api-key

1. Install Supabase CLI

   npm install -g supabase

2. Initialize and migrate

   npm run db:init
   npm run db:link --project-ref YOUR_PROJECT_REF
   npm run db:push

🎉 Automated migrations handle all table creation and security policies!

1. Get your API key from OpenAI Platform
2. Add the API key to your .env.local file as OPENAI_API_KEY

The app uses the OpenAI Responses API with:

• Model: gpt-5-nano-2025-08-07 (optimized for cost and performance)
• Function calling: Structured JSON responses using the schema in openai-assistant-schema.json
• Nutrition analysis: System prompt from prompts/nutrition-analysis.md

npm run dev

Open http://localhost:3000 to start tracking!

1. Account Setup: Register or use test credentials ([email protected] / password123)
2. Set Goals: Configure daily calorie and macro targets
3. Track Food:
   • Upload meal photos for AI analysis
   • Or describe food in natural language
4. Monitor Progress: View dashboard and trends analytics

# Development
npm run dev              # Start development server
npm run build           # Build for production
npm run start           # Start production server

# Database Management
npm run db:init         # Initialize Supabase
npm run db:link         # Link to Supabase project
npm run db:push         # Apply migrations
npm run db:reset        # Reset database

# Code Quality
npm run lint            # ESLint
npm run type-check      # TypeScript check

Visit /api/create-test-user to generate test data:

• Email: [email protected]
• Password: password123

Contributions are welcome! Please:

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit changes (git commit -m 'Add amazing feature')
4. Push to branch (git push origin feature/amazing-feature)
5. Open a Pull Request

This project is open source and available under the MIT License.

MIT License - you are free to use, modify, and distribute this code.
See LICENSE file for full terms.

• shadcn/ui - Beautiful UI components
• OpenAI - Powerful AI capabilities
• Supabase - Backend infrastructure
• Vercel - Deployment platform

• 🐛 Bug reports: Open an issue
• 💡 Feature requests: Create a discussion
• 📧 Questions: Check existing issues or create a new one