Applicant Resume Tracking System (ARTS) : GenAI Agent

Automation is much needed in the current setting for the skill and talent recruitment process where there are numerous job seekers for every job opportunity. Applicant Resume Tracking System (ARTS) – a GenAI software agent supporting employers in their recruitment process. This application comes with the facilities of accepting, storing and managing many job applications. Resumes are accepted from multiple channels like online job portals, through emails which are then filtered based on criteria set by the employer. ARTS is built solely for resumes using Google's Gemini Pro. The application system is designed to run an analysis of the incoming resumes with the relevant job descriptions to match and return feedback on missing keywords and skills in the resume. This system can be effectively utilized by job seekers to improve their chances of getting an interview in a challenging job market. The ARTS secures the hiring process of employers by selecting qualified and talented candidates from a pool of applicants. Google's Gemini Pro and Python's Streamlit library make the process of resume analysis for recruitment possible through this tool. This tool is developed to support job seekers and employers equally in the job market efficiently by screening resumes and providing feedback for improvement. This ARTS software application will be an invaluable asset to job seekers and employers alike.

Authors

Institutions

Publication Details

Published
2024-12-23
DOI
https://doi.org/10.1145/3745812.3745851
Primary Topic
Speech and dialogue systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Applicant Resume Tracking System (ARTS) : GenAI Agent

T. Amudha, Swamynathan Ramakrishnan, S Arokiaraj
Speech and dialogue systems
article

Applicant Resume Tracking System (ARTS) : GenAI Agent

T. Amudha, Swamynathan Ramakrishnan, S Arokiaraj
article en

Abstract

Automation is much needed in the current setting for the skill and talent recruitment process where there are numerous job seekers for every job opportunity. Applicant Resume Tracking System (ARTS) – a GenAI software agent supporting employers in their recruitment process. This application comes with the facilities of accepting, storing and managing many job applications. Resumes are accepted from multiple channels like online job portals, through emails which are then filtered based on criteria set by the employer. ARTS is built solely for resumes using Google's Gemini Pro. The application system is designed to run an analysis of the incoming resumes with the relevant job descriptions to match and return feedback on missing keywords and skills in the resume. This system can be effectively utilized by job seekers to improve their chances of getting an interview in a challenging job market. The ARTS secures the hiring process of employers by selecting qualified and talented candidates from a pool of applicants. Google's Gemini Pro and Python's Streamlit library make the process of resume analysis for recruitment possible through this tool. This tool is developed to support job seekers and employers equally in the job market efficiently by screening resumes and providing feedback for improvement. This ARTS software application will be an invaluable asset to job seekers and employers alike.

Bharathiar University (IN), Amity University (AE)
Openalex Percentile: Top 71%
Speech and dialogue systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Applicant Resume Tracking System (ARTS) : GenAI Agent — T. Amudha, Swamynathan Ramakrishnan, et al. · (2024) | TGRS Research Map | TGRS