High Impact Factor : 4.396 icon | Submit Manuscript Online icon |

AI-Powered Resume Screening & Interview Assistant

Author(s):

Samarth , PDA College of Engineering, Kalaburagi.; Abhishek, PDA College of Engineering, Kalaburagi.; Guruprasad, PDA College of Engineering, Kalaburagi.; Mukund H, PDA College of Engineering, Kalaburagi.

Keywords:

Artificial Intelligence, Resume Screening, Virtual Interview Assistance, Natural Language Processing (NLP), Named Entity Recognition (NER), BERT, Sentiment Analysis, TypeScript, Next.js, Google Gemini AI, Firebase

Abstract

The AI-Powered Resume Screening and Interview Assistant streamlines the recruitment process through two key modules: Resume Screening and Interview Assistance. The Resume Screening module takes necessary information such as skills, education, and experience from candidates resume using Natural Language Processing (NLP) technique, including Named Entity Recognition (NER). Then the model compares this data taken from the resume with the job descriptions using similarity models such as or BERT models to assess how closely the resume matches with the job description, and then providing ranking for candidates resume based on their fit. This enables applicants to make changes in their resumes to better match job requirements. The Interview Assistant module generates personalized questions based on the candidate's requirements. It conducts mock interviews through voice and analyzes the candidate's responses using sentiment analysis. Candidates receive real-time feedback, and personalized improvement suggestions. The model acts as a virtual mentor, this system prepares candidates for real-world interviews by improving their confidence.

Other Details

Paper ID: IJSRDV14I40068
Published in: Volume : 14, Issue : 4
Publication Date: 01/07/2026
Page(s): 159-164

Article Preview

Download Article