JobLinker is a web application designed to streamline the hiring process by automating the extraction of key information from resumes and comparing multiple candidate profiles to job offers.
- Resume Parsing: JobLinker can extract key information from resumes, including skills, names, GitHub, LinkedIn, and email.
- Candidate-Job Matching: The application is equipped with algorithms that compare candidate profiles to job offers, taking into account factors such as skills, experience, and qualifications.
- Scoring System: JobLinker implements an unsupervised learning-based scoring system to prioritize and showcase the most fitting candidates to recruiters.
- Backend Infrastructure: The application is built on the Django framework, ensuring a robust and efficient backend infrastructure.
- NLP (Natural Language Processing)
- Spacy
- Django
- Unsupervised learning
- Data Scraping
- Visit the JobLinker web application.
- Upload resumes and job offers.
- Let JobLinker automatically parse and match candidates to job offers.
- Review the results and use the scoring system to identify the best candidates.
For questions or support, feel free to contact me:
- Sta Ahmed
- Email: ahmed.sta@ensi-uma.tn
- LinkedIn: Sta Ahmed
- GitHub: STAAHMED11