📖 DayBook

A modern, AI-powered journaling application that helps you track your thoughts, emotions, and memories. Built with the MERN stack, featuring automatic mood detection, writing streaks, collaboration tools, and insightful analytics.

Live Demo: https://day-book-swart.vercel.app

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✨ Features

🧠 Smart Journaling

• AI-Powered Mood Detection: Automatic sentiment analysis detects your emotional state from entry content
• Writing Streaks: Build consistency with daily streak tracking and motivational stats
• Favorites: Mark important memories and filter them easily
• Word Count & Reading Time: Automatic calculation for each entry

📊 Analytics & Insights

• Mood Analytics: Visualize emotional patterns over time with interactive charts
• Calendar View: Monthly grid showing all entries with mood indicators
• Sentiment Tracking: Track emotional intensity and comparative scores

🤝 Collaboration

• Share Entries: Share journal entries with friends or family
• Real-time Comments: Add comments to shared entries with live updates
• Permission Control: Grant view or edit access to collaborators
• Live Collaboration: Socket.io powered real-time updates

🎨 User Experience

• Responsive Design: Seamless experience across all devices
• Dark/Light Themes: Multiple theme options with DaisyUI
• Search Functionality: Quick search across all entries
• Export Options: Download entries in JSON, Text, or Markdown formats

🔒 Security

• JWT Authentication: Secure HTTP-only cookie-based auth
• Password Encryption: bcrypt password hashing
• Protected Routes: Role-based access control
• CORS Protection: Configured for production security

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🛠️ Tech Stack

Frontend

• Framework: React 19.0.0
• State Management: Redux Toolkit 2.6.1 with RTK Query
• Routing: React Router 7.2.0
• Styling: TailwindCSS 4.0.9 + DaisyUI 5.0.0
• Charts: Recharts for analytics visualization
• Icons: React Icons 5.5.0
• Notifications: React-Toastify 11.0.5
• Build Tool: Vite

Backend

• Runtime: Node.js with Express.js 4.21.1
• Database: MongoDB with Mongoose 8.8.3
• Authentication: JWT 9.0.2 with bcryptjs
• Real-time: Socket.io 4.8.1
• AI/ML: Sentiment analysis (sentiment 5.0.2)
• Validation: Validator.js

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📁 Project Structure

daybook/
├── backend/
│   ├── src/
│   │   ├── config/
│   │   │   └── database.js              # MongoDB connection
│   │   ├── controllers/
│   │   │   ├── authController.js        # Authentication logic
│   │   │   ├── userController.js        # User profile operations
│   │   │   ├── entryController.js       # CRUD + sentiment analysis
│   │   │   └── collaborationController.js # Sharing & comments
│   │   ├── middleware/
│   │   │   └── authMiddleware.js        # JWT verification
│   │   ├── models/
│   │   │   ├── userModel.js             # User schema (with streaks)
│   │   │   ├── entryModel.js            # Entry schema (with sentiment)
│   │   │   └── commentModel.js          # Comment schema
│   │   ├── routes/
│   │   │   ├── authRoutes.js
│   │   │   ├── userRoutes.js
│   │   │   ├── entryRoutes.js
│   │   │   └── collaborationRoutes.js
│   │   ├── utils/
│   │   │   ├── generateToken.js
│   │   │   └── sentimentAnalyzer.js     # AI mood detection
│   │   └── index.js                     # Server entry + Socket.io
│   ├── .env.example
│   └── package.json
│
├── frontend/
│   ├── src/
│   │   ├── components/
│   │   │   ├── entry/
│   │   │   │   ├── AddEntry.jsx
│   │   │   │   ├── EditEntry.jsx
│   │   │   │   ├── DeleteEntry.jsx
│   │   │   │   ├── EntryCard.jsx
│   │   │   │   ├── ReadMore.jsx
│   │   │   │   ├── CalendarView.jsx     # Monthly calendar
│   │   │   │   ├── ExportEntries.jsx    # Export functionality
│   │   │   │   ├── MoodAnalytics.jsx    # Charts & graphs
│   │   │   │   ├── ShareDialog.jsx      # Sharing UI
│   │   │   │   └── Comments.jsx         # Comment section
│   │   │   ├── auth/
│   │   │   │   ├── Profile.jsx          # With streak stats
│   │   │   │   ├── Password.jsx
│   │   │   │   └── Logout.jsx
│   │   │   ├── navbar/
│   │   │   │   ├── Navbar.jsx
│   │   │   │   ├── NavLinks.jsx
│   │   │   │   ├── NavProfile.jsx
│   │   │   │   └── SearchBox.jsx
│   │   │   ├── StreakDisplay.jsx        # Writing streak counter
│   │   │   ├── ThemeController.jsx
│   │   │   └── ...
│   │   ├── pages/
│   │   │   ├── Home.jsx                 # Landing page
│   │   │   ├── Entries.jsx              # All entries + filters
│   │   │   ├── SharedEntries.jsx        # Collaborative entries
│   │   │   ├── About.jsx
│   │   │   ├── Login.jsx
│   │   │   └── Signup.jsx
│   │   ├── redux/
│   │   │   ├── store.js
│   │   │   ├── api/
│   │   │   │   ├── apiSlice.js
│   │   │   │   ├── entriesApiSlice.js
│   │   │   │   ├── usersApiSlice.js
│   │   │   │   └── collaborationApiSlice.js
│   │   │   └── features/
│   │   │       └── userSlice.js
│   │   └── App.jsx
│   ├── .env.example
│   └── package.json
│
├── COLLAB_SETUP.md                      # Collaboration feature docs
├── SENTIMENT_SETUP.md                   # Sentiment analysis docs
└── README.md

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🚀 Installation

Prerequisites

• Node.js (v18 or higher)
• MongoDB Atlas account or local MongoDB
• npm or yarn

Backend Setup

1. Clone the repository:

git clone https://github.com/harsh-vardhan3/day-book.git
cd day-book/backend

2. Install dependencies:

npm install

3. Create .env file:

NODE_ENV=development
PORT=3000
MONGO_URI=your_mongodb_connection_string
JWT_SECRET=your_secret_key
FRONTEND_URL=http://localhost:5173

4. Start the server:

npm run dev

Backend runs on http://localhost:3000

Frontend Setup

1. Navigate to frontend:

cd ../frontend

2. Install dependencies:

npm install

3. Create .env file:

VITE_API_URL=http://localhost:3000

4. Start the development server:

npm run dev

Frontend runs on http://localhost:5173

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🌐 Deployment

Backend (Render)

1. Create a new Web Service on Render
2. Connect your GitHub repository
3. Configure:
   • Root Directory: backend
   • Build Command: npm install
   • Start Command: npm start
4. Add environment variables:
   • NODE_ENV=production
   • PORT=5000
   • MONGO_URI=<your_mongodb_atlas_uri>
   • JWT_SECRET=<random_secure_string>
   • FRONTEND_URL=<your_vercel_url>

Frontend (Vercel)

1. Import project on Vercel
2. Configure:
   • Root Directory: frontend
   • Framework: Vite
3. Add environment variable:
   • VITE_API_URL=<your_render_backend_url>
4. Deploy

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📡 API Endpoints

Authentication

• POST /api/auth/signup - Register new user
• POST /api/auth/login - Login user
• POST /api/auth/logout - Logout user
• PATCH /api/auth/password - Update password

Entries

• GET /api/entries - Get all user entries
• POST /api/entries - Create new entry (with sentiment analysis)
• GET /api/entries/:id - Get single entry
• PATCH /api/entries/:id - Update entry
• DELETE /api/entries/:id - Delete entry
• GET /api/entries/search?q=query - Search entries
• PATCH /api/entries/:id/favorite - Toggle favorite status

User

• GET /api/users/profile - Get user profile (with streak stats)
• PATCH /api/users/profile - Update profile

Collaboration

• POST /api/collaboration/share/:entryId - Share entry
• GET /api/collaboration/shared - Get shared entries
• POST /api/collaboration/comments/:entryId - Add comment
• GET /api/collaboration/comments/:entryId - Get comments

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🎯 Key Features Implementation

Sentiment Analysis

Automatic mood detection using natural language processing:

• Analyzes entry title + content
• Assigns mood emoji (😄 🙂 😐 😔 😢)
• Calculates sentiment score, intensity, and comparative metrics
• Stored in database for analytics

Writing Streaks

Gamified consistency tracking:

• Increments on consecutive days
• Resets on missed days
• Tracks longest streak
• Displayed in navbar and profile

Real-time Collaboration

Socket.io powered features:

• Live comment notifications
• User online status
• Entry sharing events
• Instant UI updates