Abhimanyu9539/NLP_Resume_Parser
Build a Resume Parser in Python using Spacy
This project helps HR managers and recruiters automatically extract key information from resumes. You provide a resume in PDF format, and it processes the text to identify and output details like skills, work experience, education, and contact information. This is designed for professionals who need to quickly screen and categorize job applicants.
No commits in the last 6 months.
Use this if you need to quickly parse multiple resumes to identify key candidate details for screening and shortlisting.
Not ideal if you need a solution that goes beyond basic information extraction to perform deeper qualitative analysis or integrate with complex applicant tracking systems out-of-the-box.
Stars
20
Forks
5
Language
Python
License
—
Category
Last pushed
Jul 22, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/Abhimanyu9539/NLP_Resume_Parser"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
AnasAito/SkillNER
A (smart) rule based NLP module to extract job skills from text
yogeshhk/MiningResume
Text Mining certain fields from a resume
techwolf-ai/workrb
WorkRB: Work Research Benchmark
miteshgupta07/ATS-Scoring-System
An ATS (Applicant Tracking System) scoring system that evaluates and ranks resumes based on...
microsoft/SkillsExtractorCognitiveSearch
Azure Search Cognitive Skill to extract technical and business skills from text