Job Board Portal Management System

Shoglana is a Job Board Portal Management System built with Django, designed to facilitate job postings, applications, and user management. This system provides a platform for employers to post jobs and for job seekers to browse and apply.

Table of Contents

• Job Board Portal Management System
  • Table of Contents
  • Video Preview
  • Screenshots
  • Features
  • Technology Stack
  • Setup and Installation
    • Installation without Docker
    • Install using Docker (Optional)
  • Future Development
  • Contributing

Video Preview

Screenshots


Features

• User authentication and authorization.
• User and Company profile management.
• Job posting creation and management.
• Job application submission and tracking.
• Dashboard for tracking jobs by companies.
• Dashboard for companies for tracking applications for a job.
• Dashboard for users for tracking their applications.
• Search functionality for jobs.
• Responsive design for mobile and desktop viewing.

Technology Stack

• Backend: Django
• Frontend: HTML, CSS, JavaScript, Bootstrap
• Database: SQLite (default), (Postgresql) for Docker version only
• Containerization: Docker

Setup and Installation

Installation without Docker

1. Clone the repository:

git clone https://github.com/your-username/job-board-portal.git

2. Navigate to project folder
3. Create a virtual environment and activate it:

python -m venv venv
source venv/bin/activate  # On Windows, use `venv\Scripts\activate`

3. Install the required packages:

pip install -r requirements.txt

4. Setup the database:

   replace this section at jobs/settings.py

DATABASES = {
  "default": {
      "ENGINE": "django.db.backends.postgresql",
      "NAME": SECRETS.get("DB_NAME", "jobs_portal"),
      "USER": SECRETS.get("DB_USER", ""),
      "HOST": SECRETS.get("DB_HOST"),
      "PASSWORD": SECRETS.get("DB_PASSWORD", ""),
      "PORT": SECRETS.get("DB_PORT"),
    }
}

with the following

DATABASES = {
    "default": {
      "ENGINE": "django.db.backends.sqlite3",
      "NAME": BASE_DIR / "db.sqlite3",
  }
}

5. Apply the migrations to the database:

python manage.py migrate

6. Run thin command to populate database with data for skills, industries, countries, and currencies:

python manage.py populate_data --industry industry.txt --country country.txt --skills skills.txt --currency currency.txt

7. Run the development server

python manage.py runserver

8. Access the website at http://127.0.0.1:8000/:

Install using Docker (Optional)

1. Build the images:

docker compose build

2. Run the containers

docker compose up

3. Access the website at http://0.0.0.0:8000

Future Development

• Improve the project overall performance.
• Develop a public API for integration with other services or platforms.
• Develop an AI-powered recommendation system for job seekers.
• Implement notifications system about new relevant job postings

Contributing

Any one are welcome to contribute to project. Please don't hesitate if you want to add feature, fix a problem or suggest some improvement to the code base, to contribute follow the known contribution steps:

1. Fork the repository.
2. Create a new branch for your feature, fix, enhancement.
3. Make your changes.
4. Commit your changes and push to the branch on your fork.
5. Open a Pull Request.