Intellirecruit: An AI-Powered Resume Optimized Model using Large Language Models and Generative AI
Vansh Rewaskar
, Srushti Deshmukh , Achal Talalwar , Praveen Bhagavatula , Dhananjay Bhagat
AI-based Application Tracking System, FLAN T5, Large Language Model, Generative AI, Intellirecruit
In the recession period, the need of an efficient ATS has
been rapidly increasing. In this paper, we presented a Generative
AI-based ATS system for effective and efficient recruitment
process using FLAN-T5. The paper aims to provide a Real
time AI-powered solution aligned with the Large Language Model.
The paper shows an in-depth research on prompt engineering,
Instruction fine-tuning and use of Reinforcement learning for
evaluating human feedback to create a generative-based mode
which provides feedback based on evaluation of the model on the resume
for enhanced AI-based remarks on Resumes for users to make a
efficient resume using Intellirecruit.
"Intellirecruit: An AI-Powered Resume Optimized Model using Large Language Models and Generative AI", JNRID - JOURNAL OF NOVEL RESEARCH AND INNOVATIVE DEVELOPMENT (www.JNRID.org), ISSN:2984-8687, Vol.2, Issue 5, page no.a130-a141, May-2024, Available :https://tijer.org/JNRID/papers/JNRID2405013.pdf
Volume 2
Issue 5,
May-2024
Pages : a130-a141
Paper Reg. ID: JNRID_700243
Published Paper Id: JNRID2405013
Downloads: 000512
Research Area: Science and Technology
Country: Nagpur, maharashtra, India
ISSN: 2984-8687 | IMPACT FACTOR: 9.57 Calculated By Google Scholar | ESTD YEAR: 2023
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: JNRID (IJ Publication) Janvi Wave
