AI-Powered Resume Parsing using Django: A Smart Recruitment Solution

With the current recruitment landscape, organizations handling high numbers of applications must sift through and shortlist resumes within a prompt period. This paper presents an AI-based Resume Parser developed with Django that aims to automate the screening process for resumes. The system employs AI to extract key information like candidate information, skills, experience, and education from resumes of different types. By adopting Artificial Intelligence, the parser extracts candidates resumes different features based on pre-defined job requirements to make hiring quicker and more precise. The proposed system offers an interactive web interface where recruiters post resumes and obtain structured candidate profiles. This AI-based system decreases the work that goes into the first-round screening considerably by doing it automatically, reduces the risk of bias, and improves the rate at which talents are discovered using data.

Authors

Publication Details

Published
2025-04-17
DOI
https://doi.org/10.1109/icdsbs63635.2025.11031656
Citations
1
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
2.48
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article

AI-Powered Resume Parsing using Django: A Smart Recruitment Solution

Swanand Pawar, S. B. Jadhav, Anushka Kalpund, Pratik Chemate
1 citations
Topic Modeling
2.48
article

AI-Powered Resume Parsing using Django: A Smart Recruitment Solution

Swanand Pawar, S. B. Jadhav, Anushka Kalpund, Pratik Chemate
article en
1 citations

Abstract

With the current recruitment landscape, organizations handling high numbers of applications must sift through and shortlist resumes within a prompt period. This paper presents an AI-based Resume Parser developed with Django that aims to automate the screening process for resumes. The system employs AI to extract key information like candidate information, skills, experience, and education from resumes of different types. By adopting Artificial Intelligence, the parser extracts candidates resumes different features based on pre-defined job requirements to make hiring quicker and more precise. The proposed system offers an interactive web interface where recruiters post resumes and obtain structured candidate profiles. This AI-based system decreases the work that goes into the first-round screening considerably by doing it automatically, reduces the risk of bias, and improves the rate at which talents are discovered using data.

Reduced inequalities
Openalex Percentile: Top 10%
Topic Modeling
2.48
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