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
- Swanand Pawar (ORCID: https://orcid.org/0000-0002-2804-3606)
- S. B. Jadhav
- Anushka Kalpund
- Pratik Chemate
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