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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM60951

AI Recruiter Voice Agent: Automated Recruitment via Conversational AI

Stream/Area:

-

Subject:

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Paper ID:

IJSREM60951

Volume:

10 |

4 |

April 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

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License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

YT

Yash Tyagi

VK

Vivek Kumar

TT

Tushar Tyagi

N

Niharika

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Abstract

Using Next.js, Supabase, and VapiAI, the AI Recruiter Voice Agent is an automated web-based recruitment platform that conducts real-time, voice-based first-round candidate interviews. This system conducts structured, conversational interviews using predefined role-specific criteria, real-time automatic speech recognition (ASR), and natural language processing (NLP) for intelligent response evaluation, in contrast to conventional manual screening, phone-based interviews, or static chatbot questionnaires. Using an easy-to-use dashboard, recruiters set up interview templates, specify scoring criteria, and send prospects safe links. The system uses text-to-speech (TTS) to engage candidates in adaptive dialogue during interviews, transcribes responses using VapiAI with industry-leading accuracy, and analyzes material for behavioral cues, skills extraction, and experience mapping. The solution allows recruiters to make data-driven decisions 80% faster than with conventional techniques by producing clear, rubric-aligned evaluations with shortlist recommendations after the interview. The platform facilitates concurrent interviews at scale, keeps audit-friendly records for compliance, and provides interview artifacts (transcripts, scores, and summaries) via an analytics-rich recruiter dashboard. It is implemented as a cloud-native full-stack application on Supabase with role-based security. The AI Recruiter Voice Agent minimizes screening bottlenecks, enhances candidate experience, and enforces bias-mitigating uniformity throughout recruiting pipelines by combining conversational AI with structured assessment to provide a scalable, equitable, and consistent solution. Automated Recruitment, Conversational AI, Natural Language Processing, Automatic Speech Recognition, VapiAI, Next.js, Supabase, NLP Evaluation, Candidate Screening, Full-Stack Development, Candidate Assessment, AI in HR, Recruitment Automation, and Real-Time Speech Processing are among the

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Cite This Article

Yash Tyagi, Vivek Kumar, Tushar Tyagi, Niharika, "AI Recruiter Voice Agent: Automated Recruitment via Conversational AI," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, April 2026.

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Publication Date

4/21/2026

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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