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SMARTJ

SMARTJ is a web application designed to help active job seekers practice their interview skills and find available jobs in their field of study.

What does this project do?

SMARTJ provides:

  1. Interactive interview practice sessions with customizable formats
  2. Access to a diverse question bank tailored to user needs
  3. Flexible answer formats including video recording and written responses
  4. A curated job finder with pre-filtered links to software engineering positions

Why is this project useful?

Interview skills are crucial for job seekers. SMARTJ aims to:

  • Improve users' interview performance through customized practice
  • Streamline the job search process for software engineering roles
  • Provide a platform for self-reflection and skill improvement

Technologies Used

SMARTJ is built using a modern web development stack. Here are the key technologies and libraries we've used:

Core Technologies

  • React.js - A JavaScript library for building user interfaces
  • Node.js - JavaScript runtime built on Chrome's V8 JavaScript engine
  • npm - Package manager for JavaScript
  • MongoDB - Database for keeping track of users.

Frontend

  • Bootstrap - CSS framework for responsive and mobile-first websites
  • Font Awesome - Icon set and toolkit

Testing

  • Jest - JavaScript Testing Framework
  • React Testing Library - Testing utilities for React

Getting Started

Prerequisites

  • Node.js for running web server
    Recommended version: v21.7.3
    Note: Node.js installation cincludes npm installation
  • Npm (Node Package Manager) for installing packages from npm registry
    Downloading Node.js should automatically install npm for you
  • MongoDB For running a database that will keep track of user data
    Recommended version: v8.0.0
  • OpenAI API Key For running the ChatGPT grading. You will need to sign up, add balance if needed and generate a secret key for use as an environment variable.

Installation

  1. Clone the repo: git clone https://github.com/SOFTENG310-Team4/SMARTJ.git
  2. Navigate to root directory of the Repository
  3. Create a .env file named ".env" in the root folder and add your OpenAI API key (should be in the format REACTAPP_OPENAI_API_KEY=_your key)
  4. Run npm install to install the necessary dependencies
  5. Start the MongoDB server, whether through client or mongod via command line
  6. Run node server.js to start the backend server
  7. Start a new terminal and run npm start to run the web application
  8. After running npm start, open your browser and navigate to http://localhost:3000

Running Tests

  • To run the testing of the SMARTJ project, navigate to the root directory and run npm test -- --watchAll=false
  • To access more specific Watch Usage testing (such as running failed tests), simply run npm test

Usage

There are two main features of the SMARTJ application: Interview Practice and Job Finder
This section gives a brief rundown on how to use these features.

Interview Practice

  • Navigate to the Interview Practice page through the home page or navigation bar
  • Choose your interview setting preference
  • Perform the interview practice

Job Finder

  • Navigate to the Job Finder page through the home page or navigation bar
  • On the page, you can choose to click and be redirected to 6 Software Engineering curated job finding links from sites such as Prosple

License

This project is licensed under the MIT License - see the LICENSE file for details.

Versions

  • v1.0.0 - Initial release with basic functionality (A1 Release)

Getting Help

If you need help, please:

  1. Check our Contributing Guidelines for information on how to report issues
  2. Contact us using our collaborative email: [email protected]

Contributing

We welcome contributions! Please see our Contributing Guidelines for more details on how to get started.

Acknowledgements

  • We acknowledge our Initial Project developers, Anna Lin, Seth Yoo, Tony Yin, Minsung Cho, Jaewon Kim, Rusiru Dharmasekhara for their hard work
  • We acknowledge our A2 developers who continued the project, Albert Sun, Quaid Sage, Joel Kendall, Maahir Nafis, Allan Xu, Max Chen
  • Special Thanks to our Project Supervisor, Kelly Blincoe for allowing the project to flourish

This project is part of the SOFTENG 310 course at the University of Auckland.

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  • JavaScript 82.1%
  • CSS 16.2%
  • HTML 1.7%