Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/ayaanjawaid/application_tracking_system_flask
Applicant Tracking System (ATS) - Flask Application This is a web-based Applicant Tracking System (ATS) built using Flask that allows you to upload resumes and job descriptions, analyze them for keyword matching, and provide feedback to improve the resume’s alignment with the job description.
https://github.com/ayaanjawaid/application_tracking_system_flask
flask python vercel
Last synced: 25 days ago
JSON representation
Applicant Tracking System (ATS) - Flask Application This is a web-based Applicant Tracking System (ATS) built using Flask that allows you to upload resumes and job descriptions, analyze them for keyword matching, and provide feedback to improve the resume’s alignment with the job description.
- Host: GitHub
- URL: https://github.com/ayaanjawaid/application_tracking_system_flask
- Owner: Ayaanjawaid
- License: mit
- Created: 2024-12-05T10:53:54.000Z (about 1 month ago)
- Default Branch: main
- Last Pushed: 2024-12-05T11:13:12.000Z (about 1 month ago)
- Last Synced: 2024-12-05T11:39:17.404Z (about 1 month ago)
- Topics: flask, python, vercel
- Language: Python
- Homepage:
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
Applicant Tracking System (ATS) - Flask Application
This is a web-based Applicant Tracking System (ATS) built using Flask that allows you to upload resumes and job descriptions, analyze them for keyword matching, and provide feedback to improve the resume’s alignment with the job description.Features
Upload resumes in various formats (PDF, DOCX).
Parse resumes and extract relevant skills and experience.
Match resume content against job descriptions using TF-IDF and Cosine Similarity.
Display a percentage score of resume-job match.
Provide suggestions on missing skills in the resume.
Easy-to-use interface built with HTML, CSS, and JavaScript.
Technologies Used
Backend: Flask, Python
Frontend: HTML, CSS, JavaScript
Machine Learning: TF-IDF, Cosine Similarity (for resume-job matching)
Version Control: Git, GitHub