Emotion Tracking Web Application

A full-stack web application for tracking, storing, and managing user emotions securely over time.

Built using Svelte, Node.js (Express), and PostgreSQL, deployed on Azure with Nginx as a reverse proxy and PM2 for process management.

Features

• User authentication
• Session-based authentication
• Emotion logging with color tagging
• Retrieve emotion history per user
• Manage active sessions (view, revoke single session, revoke all)
• Cross-origin support with secure CORS configuration
• Scalable backend with database abstraction

Architecture Overview

Tech Stack

• Frontend: Svelte + JavaScript
• Backend: NodeJS + ExpressJS
• Database: PostgreSQL
• Deployment & Infrastructure: Azure VM - Nginx & PM2

Project Structure

├── public/                  # Static assets
├── src/
│   ├── components/  # Reusable UI components
│   └── Screens/         # Application screens/pages
├── app.js                   # Express backend
├── index.html
├── .env
├── .gitignore             # Ignore build files and node_modules
├── Dockerfile
└── docker-compose.yml

Environment Variables

Create a .env file in the backend root:

FRONTEND_URL=http://localhost:5173
DATABASE_URL=postgresql://user:password@host:port/dbname
MONGO_URL=mongodb://localhost:27017/dbname

Running Locally

Backend

npm install
node index.js

Backend runs on:

http://localhost:3000

Frontend

npm install
npm run dev

Authentication Flow

1. User signs up → password hashed using bcrypt
2. User logs in → credentials verified
3. Server creates session token
4. Token stored as HTTP-only cookie
5. Protected routes validate session

API Endpoints

Security

• Password hashing with bcrypt
• HTTP-only cookies for sessions
• CORS configured with credentials
• Designed to support HTTPS with SSL/TLS via Nginx

Future Improvements

• Emotion analytics & visualization
• Neo4j for social emotion sharing graph