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BodyPress

Note

This project may be moving to a native iOS/Android app using Health Connect (Android) and HealthKit (iOS). Follow the new developments here: bodyPress-flutter

Your Body, Briefed Daily — AI-powered health insights from your wearable data

BodyPress transforms your wearable device data into personalized, actionable daily briefings. Get contextual health insights combining sleep metrics, HRV, heart rate, weather conditions, air quality, and UV index — all delivered to your inbox every morning.

✨ Features

  • 🤖 AI-Powered Analysis — Intelligent interpretation of your health metrics
  • 📊 Multi-Source Integration — Connects with popular wearables and fitness trackers
  • 🌤️ Environmental Context — Combines health data with weather, air quality, and UV index
  • 📧 Daily Email Briefings — Personalized insights delivered every morning
  • 🎨 Modern UI — Clean, responsive design with dark mode support
  • Fast Performance — Built with Next.js 16 for optimal speed
  • Accessible — WCAG compliant with semantic HTML and ARIA labels

🛠️ Tech Stack

🚀 Getting Started

Prerequisites

  • Node.js 18.x or higher
  • npm, yarn, or pnpm

Installation

  1. Clone the repository:
git clone https://github.com/the-governor-hq/BodyPress.git
cd bodypress
  1. Install dependencies:
npm install
# or
yarn install
# or
pnpm install
  1. Run the development server:
npm run dev
# or
yarn dev
# or
pnpm dev
  1. Open http://localhost:3000 in your browser

📁 Project Structure

bodypress/
├── app/                    # Next.js app directory
│   ├── layout.tsx         # Root layout with metadata
│   ├── page.tsx           # Homepage
│   ├── globals.css        # Global styles
│   └── sitemap.ts         # SEO sitemap
├── components/            # React components
│   ├── ui/               # Reusable UI components
│   ├── hero.tsx          # Hero section
│   ├── integrations.tsx  # Integration showcase
│   ├── data-cards.tsx    # Data visualization cards
│   ├── how-it-works.tsx  # Feature explanation
│   ├── sample-briefing.tsx # Sample email preview
│   └── cta-section.tsx   # Call-to-action
├── lib/                   # Utility functions
│   └── utils.ts          # Helper utilities
├── public/               # Static assets
│   ├── robots.txt        # SEO robots file
│   └── manifest.json     # PWA manifest
└── styles/               # Additional styles

🧑‍💻 Development

Available Scripts

  • npm run dev — Start development server
  • npm run build — Build for production
  • npm run start — Start production server
  • npm run lint — Run ESLint

Code Quality

The project uses:

  • TypeScript for type safety
  • ESLint for code linting
  • Prettier configuration (via editor)

🌐 Deployment

Deploy on Vercel

The easiest way to deploy:

Deploy with Vercel

Or manually:

  1. Push your code to GitHub
  2. Import your repository on Vercel
  3. Vercel will automatically detect Next.js and configure the build

Environment Variables

If you add backend functionality, create a .env.local file:

# Add your environment variables here
# NEXT_PUBLIC_API_URL=your_api_url

🎨 Customization

Updating Content

  • Hero Section: Edit components/hero.tsx
  • Features: Modify components/how-it-works.tsx
  • Integrations: Update components/integrations.tsx
  • Colors & Theme: Adjust in app/globals.css

SEO Configuration

Update metadata in app/layout.tsx:

  • Open Graph tags
  • Twitter Card configuration
  • Meta descriptions and keywords

📄 License

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

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

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

Initial Built using V0, Next.js and Tailwind CSS

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WIP - AI-powered health insights from your wearable data. Get personalized daily briefings combining sleep, HRV, heart rate, weather, and environmental data.

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