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PrepTalk – Applicant Selector AI
Subject area: Science,Engineering and Technology · Area of research: Artificial Intelligence
DOI: https://doi.org/10.64388/IREV9I10-1716017
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
How to cite this paper
@article{1716017,
author = {Deepak S, Yeswant B.V., T. Rajesh},
title = {PrepTalk – Applicant Selector AI},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {10},
pages = {598-604},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1716017.pdf},
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},
month = {April},
doi = {https://doi.org/10.64388/IREV9I10-1716017}
}