Resume Parsing - Python /AI
Budget: ₹37,500 – ₹75,000 INR
Parse a candidate resume and identify various fields like Name, Skills, Number of years of experience in various jobs, previous employer etc.
- Resumes can be in Doc, Docx or Pdf format.
- Resumes can have different layouts. Parsing should be intelligent enough to parse different layouts.
- Store the parsed data in a database.
- Search for candidates based on the various criteria listed above. Various combination of criteria will need to be searched. For example Java with 5 years of experience. Search results should be sorted by match percentage.
- Parse a give Job description given as text and identify key criteria required for the job. For example identify the primary and secondary skills and the number of years of experience or proficiency for each skill set.
- Parsing should be able to identify between mandatory and optional skills.
- Search the above Candidate database to find candidates matching the Job description given. Results should be ordered by the ranking based on percentage of match. Ranking should take into consideration the primary, secondary, mandatory, optional skills. For example candidates matching a primary skill should be given higher ranking.
- Resumes can be in Doc, Docx or Pdf format.
- Resumes can have different layouts. Parsing should be intelligent enough to parse different layouts.
- Store the parsed data in a database.
- Search for candidates based on the various criteria listed above. Various combination of criteria will need to be searched. For example Java with 5 years of experience. Search results should be sorted by match percentage.
- Parse a give Job description given as text and identify key criteria required for the job. For example identify the primary and secondary skills and the number of years of experience or proficiency for each skill set.
- Parsing should be able to identify between mandatory and optional skills.
- Search the above Candidate database to find candidates matching the Job description given. Results should be ordered by the ranking based on percentage of match. Ranking should take into consideration the primary, secondary, mandatory, optional skills. For example candidates matching a primary skill should be given higher ranking.