Mood Journal Landing Page

A minimalist mood journal application with AI-powered insights. Reflect on your emotions, write freely, and receive personalized summaries and themes from your journal entries.

Features

• Emotion Check-in: Select how you're feeling with a simple, color-coded interface
• Free-form Reflection: Write your thoughts without judgment or limits
• AI Insights: Get personalized 2-3 sentence summaries and 3-5 key themes from each entry
• Pattern Tracking: View your emotional patterns over time
• Theme Discovery: See recurring themes across your journal entries
• Database Storage: All entries and insights are stored locally in SQLite

Setup

1. Install Dependencies

npm install
# or
pnpm install
# or
yarn install

2. Set Up Environment Variables

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

GEMINI_API_KEY=your_google_gemini_api_key_here

To get a Google Gemini API key:

1. Go to Google AI Studio
2. Sign in with your Google account
3. Click "Create API Key"
4. Copy it to your .env.local file

Note: The app will work without an API key, but AI insights will show a fallback message. To get personalized insights, you'll need to add your Google Gemini API key.

3. Run the Development Server

npm run dev
# or
pnpm dev
# or
yarn dev

Open http://localhost:3000 in your browser.

Database

The application uses SQLite for local storage. The database file is automatically created in the data/ directory when you first save an entry.

Database Schema

• journal_entries: Stores journal entries with date, emotion, and reflection text
• ai_insights: Stores AI-generated summaries and themes for each entry

API Routes

• POST /api/entries - Create a new journal entry (generates AI insights automatically)
• GET /api/entries - Get all journal entries (optional query params: ?days=7 or ?date=2024-01-01)
• GET /api/entries/[id] - Get a specific journal entry by ID

Tech Stack

• Next.js 16 - React framework
• TypeScript - Type safety
• SQLite (better-sqlite3) - Local database
• Google Gemini API - AI insights generation
• Tailwind CSS - Styling
• Radix UI - Component library
• date-fns - Date utilities

Project Structure

├── app/
│   ├── api/
│   │   └── entries/        # API routes for journal entries
│   ├── page.tsx            # Main landing page
│   ├── layout.tsx          # Root layout
│   └── globals.css         # Global styles
├── components/
│   └── ui/                 # UI components
├── lib/
│   ├── db.ts               # Database setup and queries
│   ├── ai.ts               # Google Gemini integration
│   └── utils.ts            # Utility functions
└── data/                   # SQLite database (auto-created)

Building for Production

npm run build
npm start

Notes

• The database is stored locally in the data/ directory
• All journal entries are private and stored on your machine
• AI insights require a Google Gemini API key (free tier available)
• The app works offline for viewing entries, but AI insights require internet connection

Links

• Live App: https://mood-tracker-six-phi.vercel.app/