Business Objective

Rank resumes based on relevance to the job postings.

Our Solution

• Developed Natural language processing (NLP) and Machine learning-based models to rank different resumes. This makes the task of HR easier to filter various candidates applied for a specific job title.
• Text is extracted from images using Optical Character Recognition (OCR)
• Text is extracted from documents in different formats (pdf/doc/docx) as well
• The extracted text is used for entity extraction using Named-entity recognition (NER), pattern matching using regex.
• Similarly, text and entities are extracted from the job description
• Entities extracted from a resume(name/skills/experience/education/years of experience) and job description are used for ranking the resumes