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Jobify - Job Tracking App

  • Developed a comprehensive job tracking web app with user authentication via JWT tokens and HTTP-only cookies. Utilized React Query for efficient data caching and included pagination for seamless navigation. Implemented a RESTful API for backend communication.
  • Enabled user account management, including profile picture upload, job modification, and sorting functions. Implemented data visualization with interactive charts. Deployed securely on Render for cloud-based access.
  • Technologies Used: MongoDB, Express.js, React.js, Node.js, Vite, Render

Complete App

Jobify

Usage

  1. Clone the repository

    git clone https://github.com/Rashed112/Jobify-MERN-Project.git
  2. Install dependencies

    cd jobify
    npm run setup-production-app 
  3. Set up environment variables: To run the application locally or deploy it elsewhere, you need to set up the following environment variables in a .env file at the root of the project. Here's how to fill in each variable:

    • NODE_ENV: Set the environment to either development or production.
    • PORT: Define the port number on which the server will run. Here default is 5100.
    • MONGO_URL: Provide the connection string to your MongoDB database. Replace <username>, <password>, and <dbname> with your MongoDB credentials.
    • JWT_SECRET: Choose a secret key for JSON Web Token (JWT) encryption.
    • JWT_EXPIRES_IN: Set the expiration time for JWT tokens.
    • CLOUD_NAME: Your cloud storage provider's name (e.g., Cloudinary).
    • CLOUD_API_KEY: Your cloud storage API key.
    • CLOUD_API_SECRET: Your cloud storage API secret.

    Here's an example .env file:

    NODE_ENV=development
    PORT=5100
    MONGO_URL=mongodb+srv://<username>:<password>@cluster0.a3mftk7.mongodb.net/<dbname>?retryWrites=true&w=majority&appName=Cluster0
    JWT_SECRET=your_secret_key
    JWT_EXPIRES_IN=1d
    CLOUD_NAME=your_cloud_name
    CLOUD_API_KEY=your_cloud_api_key
    CLOUD_API_SECRET=your_cloud_api_secret
    
  4. Run the application:

    node server
  5. Access the application in your browser at http://localhost:5100.

Acknowledgement

To learn more about the technologies used and the project, I'll be glad to share the following course which was instructed by John Smilga amazingly and was a great help to me:

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A full-stack job tracking application using the MERN stack

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