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# How to Build a Résumé Screening System Using Python and Multiprocessing

**[freeCodeCamp](https://daily.dev/sources/freecodecamp)** · [@abdultalha](https://daily.dev/abdultalha) · 8 min read · 2 upvotes · 0 comments

## Summary

Build an automated résumé screening system that parses PDF and DOCX files, extracts skills and keywords, and ranks candidates using a weighted scoring algorithm. The tutorial covers text extraction from documents, keyword matching against a skills taxonomy, implementing a scoring engine with configurable weights (50% required skills, 25% preferred skills, 15% experience, 10% keywords), creating a Streamlit web interface, and deploying to Streamlit Cloud. The system processes hundreds of résumés in seconds and promotes objective evaluation by applying consistent criteria across all candidates.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.freecodecamp.org/news/python-resume-screening-system/>

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---

Tags: [#python](https://daily.dev/tags/python), [#automation](https://daily.dev/tags/automation), [#nlp](https://daily.dev/tags/nlp)

[View this post on daily.dev](https://daily.dev/posts/how-to-build-a-r-sum-screening-system-using-python-and-multiprocessing-ixtif9k3f)

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