The Job Recommendation System is designed to assist job seekers in finding suitable employment opportunities based on their skills, qualifications, and preferences. This system employs advanced algorithms to match job seekers with relevant job listings, streamlining the job search process and increasing the likelihood of finding a satisfying career.
- User Profile Creation: Users can create profiles detailing their skills, experience, education, and job preferences.
- Job Search: The system allows users to search for jobs based on various criteria such as location, industry, salary, and job type.
- Recommendation Engine: Utilizes machine learning algorithms to analyze user profiles and job listings, providing personalized job recommendations.
- Application Tracking: Enables users to track their job applications and manage the status of each application.
- Customizable Filters: Users can apply filters to refine their job search results and receive more tailored recommendations.
- Email Alerts: Sends email notifications to users about new job opportunities that match their preferences.
- User Feedback: Allows users to provide feedback on job recommendations, helping to improve the accuracy of future recommendations.
- Admin Dashboard: Administrators can manage user accounts, job listings, and system settings through an intuitive dashboard.
- Clone the repository to your local machine.
- Install required Python packages using
pip install -r requirements.txt. - Set up the database by running
python manage.py migrate. - Create a superuser account using
python manage.py createsuperuser. - Start the development server with
python manage.py runserver. - Access the application through your web browser at
http://localhost:8000.
- Register an account or log in if you already have one.
- Complete your profile by providing information about your skills, experience, and job preferences.
- Start searching for jobs using the search functionality or view personalized recommendations on your dashboard.
- Apply for jobs directly through the platform and track the status of your applications.
- Provide feedback on recommended jobs to improve future recommendations.
We welcome contributions from the community to enhance the functionality and usability of the Job Recommendation System. If you'd like to contribute, please follow these steps:
- Fork the repository.
- Create a new branch for your feature or bug fix.
- Make your changes and commit them with descriptive messages.
- Push your changes to your fork.
- Submit a pull request, detailing the changes you've made and any relevant information.
This project is licensed under the MIT License. See the LICENSE file for more information.
For any inquiries or support related to the Job Recommendation System, please contact sureshchand12a@gmail.com.
We would like to thank the open-source community for their invaluable contributions and the tools and libraries used to develop this project.