PrepTalk – Applicant Selector AI
  • Author(s): Deepak S; Yeswant B.V.; T. Rajesh
  • Paper ID: 1716017
  • Page: 598-604
  • Published Date: 08-04-2026
  • Published In: Iconic Research And Engineering Journals
  • Publisher: IRE Journals
  • e-ISSN: 2456-8880
  • Volume/Issue: Volume 9 Issue 10 April-2026
Abstract

In today’s competitive hiring landscape, candidates often struggle to access realistic, structured interview practice, while recruiters face challenges in maintaining consistency, fair- ness, and efficiency in evaluation. PrepTalk – Applicant Selector AI is a hybrid Full Stack + AI interview simulation platform that provides a real-time, boardroom-like mock interview experience using webcam, microphone, and intelligent feedback mechanisms. The system dynamically generates role-specific technical and non- technical questions using the Gemini API based on job role, tech stack, and experience, and evaluates candidate responses through AI-driven analysis of recorded audio (speech-to-text) and stored transcripts. The platform integrates an enhanced speech recognition module with a Drizzle ORM–backed Post- greSQL database to securely store questions, answers, feedback, ratings, and past interview sessions for continuous review and improvement. Users can log in, configure their job profile, start a mock interview, record answers in real time, and finally receive structured feedback that includes ideal answers, detailed improvement suggestions, and an overall performance score. By automating question generation, response evaluation, and feedback delivery, PrepTalk reduces manual effort, improves con- sistency and fairness, and offers an accessible, scalable solution for candidates preparing for campus placements and professional interviews.

Keywords

AI Mock Interview, Gemini API, Speech Recog- nition, Full Stack Application, Drizzle ORM, PostgreSQL, Inter- view Simulation, Automated Feedback, Applicant Assessment, Web-based Interview Platform

Citations

IRE Journals:
Deepak S, Yeswant B.V., T. Rajesh "PrepTalk – Applicant Selector AI" Iconic Research And Engineering Journals Volume 9 Issue 10 2026 Page 598-604 https://doi.org/10.64388/IREV9I10-1716017

IEEE:
Deepak S, Yeswant B.V., T. Rajesh "PrepTalk – Applicant Selector AI" Iconic Research And Engineering Journals, 9(10) https://doi.org/10.64388/IREV9I10-1716017