Personalized AI Mock Interview Platform by IRJET Journal

Personalized AI Mock Interview Platform

Devika S.S.1 , Najah Najm Ahmed2 , Nicole Colin3, Sneha P.4, Prof. Arya A. R.5

1B. Tech student, Department of Computer Science and Engineering, Rajadhani Institute of Engineering and Technology, Kerala, India

2B. Tech student, Department of Computer Science and Engineering, Rajadhani Institute of Engineering and Technology, Kerala, India

3B. Tech student, Department of Computer Science and Engineering, Rajadhani Institute of Engineering and Technology, Kerala, India

4B. Tech student, Department of Computer Science and Engineering, Rajadhani Institute of Engineering and Technology, Kerala, India

5Professor, Department of Computer Science and Engineering, Rajadhani Institute of Engineering and Technology, Kerala, India ***

Abstract - In today’s competitive technological landscape, excelling in job interviews is paramount for securing desired positions. Despite a wide array of existing resources, many candidates struggle to find interview preparation materials thatpreciselyalignwithspecificdemandsoftheirtargetroles. This often puts even highly talented individuals at a disadvantage. To address this critical need, this project introduces a personalized AI-powered mock interview platform. This innovative application customizes interview questions to the unique requirements of each job position, offering users a realistic and targeted practice experience. Additionally, the platform provides comprehensive performanceanalyticsonuserresponsesandpresentsoptimal answer exemplars for each question. Recognizing the crucial importanceofinterviewpreparation,particularlyforstudents and early-career professionals, this platform aims to bridge the gap between potential and performance, empowering users to refine their skills, boost confidence, and ultimately achieve career success

Key Words: artificial intelligence, automated feedback, interview preparation, mock interview, performance analysis…

1.INTRODUCTION

Securing a job in the fast-paced and competitive world of technologyisincreasinglydependentonacandidate’sability toperformexceptionallywellininterviews.Asthedemand forskilledprofessionalscontinuesitsupwardtrend,sodoes thenecessityforeffectiveinterviewpreparationtools.While the market offers a plethora of resources, a significant challengeformanyaspiringprofessionalsisthescarcityof practice materials that accurately reflect the specific demandsandnuancesoftheirdesiredjobroles.Thiscrucial gap in effective preparation resources can unfortunately leaveeventhemostqualifiedindividualsatadisadvantage duringcriticalinterviewprocesses.

Our project directly addresses this pressing need by developingagroundbreakingpersonalizedAI-drivenmock interview platform. This innovative application is meticulouslydesignedtoofferahighlytailoredandrealistic practiceexperiencebygeneratinginterviewquestionsthat preciselymatchtheuniquerequirementsofeachspecificjob position.Beyondquestionstheplatformprovidesinvaluable analytical feedback onuser responses, along with optimal answerexemplars,enablingaclearunderstandingofareas forimprovement.Werecognizetheparamountimportance forthoroughinterviewpreparation,especiallyforstudents andearly-careerprofessionalswhoarejustbeginningtheir careerjourneys.Byofferingacomprehensiveanduniquely personalizedpreparationexperience,ourplatformaimsto effectively bridge the existing gap between a candidate’s inherentpotentialandtheiractualinterviewperformance. Through its features, the platform empowers users to significantlyrefinetheircommunicationandtechnicalskills, substantiallyboosttheirconfidence,andultimatelyachieve successintheirchosencareerpursuits.

2.EXISTING SYSTEM

2.1 Pramp by Exponent

Thisplatformoffersahighlyrealisticinterviewexperience byprovidinglivepracticesessionswithpeers,whichcanbe significantly more effective than solo preparation. A key advantageisitsinherentflexibility,allowinguserstoselect specific industries or types of interviews, thereby customizing their practice sessionstoalign precisely with theirindividualcareergoals.Furthermore,thesystemlikely includesrobustguidanceforimprovement,potentiallyinthe formofdirectfeedbackfrompeersorpromptsdesignedto elicit better responses, which is crucial for users to refine their interview skills continuously. However, the effectivenessofthispeer-basedpracticeisinherentlytiedto the quality of the participating peer network, as their expertiseandprofessionalismdirectlyinfluencethelearning experience.Additionally,theplatformappearstobeprimarily

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056

Volume: 12 Issue: 06 | Jun 2025 www.irjet.net p-ISSN: 2395-0072

focused on interview skills, which might mean it offers limitedsupportforothervitalcareerdevelopmentaspects, suchasresumebuildingornetworking.Lastly,asignificant changeforexistingusersisthetransitionofnewsessionsto “ExponentPractice”,whichcouldinvolvealearningcurveor aperiodofadjustmentforthoseaccustomedtotheprevious interfaceorworkflow.

2.2 SmallTalk2Me

ThisplatformispoweredbyanAI-drivennaturallanguage processing(NLP)technology,offeringapersonalizedmock interviewsimulatorthat providesusers withanauthentic practiceexperience.Itplacesastrongemphasisonboosting confidenceinEnglishcommunication,whichisacriticalskill for excelling in interviews, particularly for non-native speakers. The simulator provides valuable feedback on sentencestructure,guidinguserstoimprovetheircomplex sentence construction and overall language fluency. Additionally, it includes recruiter suggestions, offering tailoredtipsdesignedtomakeanswersmoreeffectiveand polished.However,apotentiallimitationisitsprimaryfocus onEnglishcommunication,whichmightleadtooverlooking othercrucialaspectsofinterviewpreparation,suchasbody language or technical skills. The feedback provided on languagemightalsobelimitedbythescopeofitscurrentAI models,meaningitmaynotalwayscapturethenuancesof realrecruiterevaluations.Furthermore,userswhoarenot entirelycomfortablewithAI-poweredinteractivetoolsmight finditchallengingtoadapttothissimulator’sinterfaceand functionality.

2.3 BARCLAYS LifeSkills

Thistoolisspecificallydesignedtohelpusersprepareforjob interviews across a variety of industries. It offers flexible options for providing answers, allowing users to either record their responses verbally or type them out, thereby catering to different comfort levels and preferences. The primary aim of the tool is to significantly improve user’s interviewskillsbyenablingthem torefinetheirresponses throughpractice.Itislikelytobeparticularlybeneficialfor young people, especially students, given its apparent accessibility for novice users in the interview preparation process.However,apotentiallimitationisthatthespecific range of industries covered is not explicitly mentioned, meaning it might not cater comprehensively to every specializedjobsector.Furthermore,itispossiblethatthefull featuresetmayonlybecomeaccessibleafteruserscomplete asign-uporloginprocess.Ultimately,theoverallimpactof the tool on a user’s interview performance may vary considerablydependingonhowdiligentlyitisutilizedand theindividual’sexistinglevelofpreparation.

3. PROPOSED SYSTEM

The Personalized AI Mock Interview Platform is a comprehensive solution designed to enhance job seeker’s

interview skills and confidence. Its robust system architectureintegratesseveralkeycomponentstodelivera tailoredandeffectivepracticeexperience.

3.1 User Access Control

This crucial initial component manages user access and security. The platform incorporatesa secure,user-friendly interface powered by an enterprise-grade identity management system for both new user onboarding and preventingunauthorizedaccess.Uponsuccessfulregistration, users receive a confirmation and are directed to their personalized dashboard. Similarly,for returningusers,the identity management system's robust authentication protocolsvalidatecredentialsandgrantauthorizedaccess, ensuring data integrity and a hassle-free login experience. ThistypicallyinvolvesOAuth2.0orOpenIDConnectflowsfor securetoken-basedauthentication.

3.2 User Activity Center

Servingasthecentralhubforuseractivities,thedashboardis designed for intuitive navigation and accessibility to all platform features. It provides users with various options, includinginitiatinganewmockinterview,revisitingprevious sessions,andaccessingperformanceanalytics.Userscanalso managetheirprofilesandjobdescriptiondirectlyfromthis page,allowingforacustomizedpreparationexperience.The dashboardactsasaunifiedcontrolpanelforuserstotrack andmanagetheirinterviewpreparationjourneyeffectively.

3.3 Customized Question Creation

ThiscoreAI-poweredfeaturecreatespersonalizedinterview questionsforusers.Usersinputdetailssuchasthejobtitle,a brief job description, and relevant skills. The platform’s intelligent algorithmic pipeline then processes this informationusingadvancednaturallanguageunderstanding (NLU)techniquestoextractkeyentitiesandconcepts.Based on this contextual understanding, it generates five rolespecific questions, aiming to simulate a realistic interview scenario.Additionally,aspeakericonisincluded,leveraging text-to-speech(TTS)synthesis,toenableuserstohearthe questionsforenhancedcomprehension.Aleadinggenerative AI model is specifically utilized for generating both the questions and their corresponding optimal answer exemplars.

3.4 Candidate Response Management

Thiscomponenthandlesthecaptureandconversionofuser responses during a mock interview. User responses are recorded via an integrated webcam and microphone, capturing both audio and video streams. These recorded responsesarethenprocessedthroughanautomatedspeech recognition(ASR)enginetobeaccuratelyconvertedintotext format. The converted textual transcripts, along with metadata such as timestamping and audio/video file

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056

Volume: 12 Issue: 06 | Jun 2025 www.irjet.net p-ISSN: 2395-0072

references,aresecurelystoredforsubsequentanalysisbythe performanceevaluationmodule.

3.5 Performance Analysis and Guidance

After a mock interview, users are directed to a dedicated post-interviewanalysispage.Here,theplatformprovidesa comprehensivecomputationalanalysisoftheirperformance, includingdetailedperformancemetricsontheirresponses andactionablesuggestionsforimprovement.Thisanalysis involvescomparingtheuser'stranscribedresponsesagainst pre-definedidealanswercriteriaandindustrybestpractices using AI-driven comparative analytics. Crucially, the suggested answers to the questions are also displayed, enabling users to compare their responses and learn effectively. This feature also stores historical performance reports,allowinguserstotracktheirprogressovertime,thus supportingcontinuouslearningandboostingconfidencein theirinterviewskills.AsophisticatedAIreasoningengineis utilizedtoanalyzetherecordeddata,identifysemanticgaps, assessverbalfluency,andprovidethisdetailedperformance review,includingsuggestedanswers.

3.6 Information Repository System

The backend of the platform relies on a robust relational databasemanagementsystem(RDBMS)fordatapersistence, often combined with an object-relational mapping (ORM) framework. This combination provides a structured and efficientwaytohandledataoperations,includingthesecure storageofuserprofiles,interviewquestionbanks,recorded responses,andanalyticalreports.RESTfulAPIsareemployed to ensure a smooth, standardized data flow and communicationbetweenthefront-enduserinterfaceandthe backenddatarepository.

3.7 Interactive User Experience Creation

Theuserinterface(UI)oftheplatformisbuiltusingmodern, component-basedwebframeworks,ensuringaseamlessand highly responsive user experience across various devices. The identity management system is seamlessly integrated into the front-end architecture to securely manage user registrationandloginworkflows.Keycomponentssuchas thedashboardandthevirtualinterviewroomaredesigned withauser-centricdesignmethodology,prioritizingintuitive navigation,accessibility,andoptimalinteractiveperformance forallfeatures.Thisinvolvesleveragingasynchronousdata fetching and state management patterns for a fluid user experience.

4. RESULTANT APPLICATION

ThePersonalizedAIMockInterviewPlatformismeticulously designedasasingle-pagewebapplication(SPA),offeringa structuredandinteractivejourneyforuserspreparingforjob interviews.Eachpageandfeatureiscraftedtocontributetoa seamlessandeffectivepracticeexperience.

4.1 Landing Page

The Landing Page serves as the initial public face of the platform,designedtocapturetheinterestofpotentialusers. Itprovidesacompellingoverviewoftheplatform’scorevalue proposition, highlighting how it offers personalized, AIdrivenmockinterviewstoenhanceconfidenceandreadiness. Thelandingpagefeaturesacleanandmodernlayoutwith amplevisualhierarchy,largefonts,andcenteredcontentthat immediatelycatchestheeyeandinvitesuserstoexplorethe platform.Itsdesignreflectsuser-centricaestheticswithan emphasis on simplicity, encouraging seamless navigation. Thelandingpagetypicallyincludesprominentcall-to-actions (CTAs) for users to eithersign up or sign in, guiding them towardsdeeperengagementwiththeapplication.

4.2 Sign-In Page

TheSign-InPageprovidesasecureaccesspointforreturning users. Users can seamlessly log in using their registered credentials(emailandacryptographicallysecuredpassword or multi-factor authentication code). Powered by the platform’s secure authentication subsystem, this page ensures quick, secure validation of credentials, granting authorized access to their personalized dashboard and previously saved data, ensuring a smooth continuation of their interview preparation journey. This page adopts a minimalisticaestheticwithacenteredloginmodal,balanced spacing, and consistent typography, creating a sleek and professional impression for returning users. Crucially, the interface maintains design consistency with the overall platform, enhancing usability and providing a familiar experienceforallusers.

Fig -1:LandingPage

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056

Volume: 12 Issue: 06 | Jun 2025 www.irjet.net p-ISSN: 2395-0072

4.3 Sign-Up Page

For new users, the sign-up page is the gateway to the platform’s features. It presents a secure, user-friendly interfacepoweredbytheintegratedauthenticationservice, meticulously designed to be intuitive and straightforward. Thesign-uppageisvisuallywelcomingwithneatlyaligned input fields, soft color tones, and a balanced layout that providesacalmanduser-friendlyfirst-timeexperience.This page thoughtfully guides users to create an account by providing essential details (their email address and a securely hashed password). The design prioritizes user experience(UX)withanemphasisonsimplicity,ensuringa seamless and reassuring onboarding process, while also clearlyemphasizingthesecurehandlingofpersonaldataand settingtherobustfoundationfora trulypersonalizeduser experience.

4.4 Control Panel

Onceauthenticated,thiscentralizeduserdashboardservesas thecommandcenterforalluseractivities.Itoffersa clean and intuitive interface, providing quick access to all major functionalities. The control panel showcases a visually organized interface with clearly separated sections, iconbased navigational elements, and a card-style layout that enhancesaccessibilityforasmoothuserjourney.Fromhere, userscanseamlesslyinitiatenewmockinterviewsessions, reviewtheircomprehensivehistoryofpastinterviews,and accessdetailedperformanceanalytics reports.Thecontrol panelalsoallowsforeasyprofilemanagementandefficient updating of job descriptions, offering a truly personalized overviewoftheirprogressandavailableoptions.

4.5 Interview Customization Page

This dedicated page is crucial for personalizing the mock interview experience. With a form-based layout framed in generous spacing and clean input blocks, this page looks structuredandinteractive,encouraginguserstofillindetails withoutfeelingoverwhelmed.Usersarepromptedtoprovide specificdetailsaboutthejobtheyareapplyingfor,including thejobtitle,abriefdescriptionoftherole,andrelevantskills. This input is vital as it directly feeds into the AI question generation algorithm, facilitating the creation of highly customizedandrelevantinterviewquestions.

4.6 Interview Question Synthesis

Uponsubmittingthejobdescription,theplatformprocesses the input using its sophisticated AI-based NLU algorithm. This feature dynamically generates five role-specific interview questions that accurately simulate a real-world interviewscenario.Anintegratedspeakericonallowsusers tolistentothequestionsaloud,leveragingadvancedtext-tospeech(TTS)modelstoenhancecomprehensionandprepare for auditory processing during an actual interview. The intelligentquestiongenerationengine,powered bya large language model (LLM), plays a key role in synthesizing tailoredquestionsbyunderstandingthenuancesofthejob description.

Fig -2:Sign-InPage(email)

Fig -3:Sign-InPage(code)

Fig -4:Sign-UpPage

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056

Volume: 12 Issue: 06 | Jun 2025 www.irjet.net p-ISSN: 2395-0072

4.7 Virtual Interview Room

Thisiswheretheactualmockinterviewsessiontakesplace. Thispageoffersavisuallybalancedintroductionwithaclean header,instructionaltext,andintuitivedesignelementsthat gentlyguideusersintotheinterviewsession.Designedlikea virtualinterviewroom,thispageusesasplit-screenlayout withprominentquestions,adedicatedvideoinputpanefor user recording, and a bold visual hierarchy that mimics a real-time experience. On this page, users encounter the generatedquestionsonebyone.Theuserscanrecordtheir responses via their webcam and microphone. The page presentsacontent-rich,scrollableinterfacewithaneatcard or sectioned layout, visually organizing supplementary resourcesforeasyscanning.Thispageisengineeredtomimic arealinterviewenvironment,allowinguserstopracticetheir verbal and non-verbal communication, as well as their responseformulationstrategies.

4.8 Session Wrap-Up

Aftercompletingalltheinterviewquestionsorchoosingto conclude the session, the "Session Wrap-Up" functionality finalizesthemockinterview.Awell-structured,minimalend screen uses centered text, subtle colors, and clear call-toactionbuttonstoneatlywrapupthesessionanddirectthe userforward.Thisactiontriggersthesystemtoprocessthe recorded responses for analysis, initiating the backend processing pipeline for performance assessment and preparationofthecomprehensivefeedbackreport.Itmarks the transition from the interactive interview phase to the analyticalevaluationphase.

4.9 Performance Analysis and Guidance Page

This is where users receive a comprehensive analytical breakdown of their performance. This section provides detailedinsightsintotheirresponses,includingdata-driven suggestionsforimprovementandidentifiedareasofstrength. The page combines data visualization with design clarity, usingsectionedcards,highlightedperformancemetrics,and scrollablelistsinapolished,report-likeformat.Crucially,the optimal answer exemplars to the questions are also

displayed, enabling users to compare their responses and learn effectively. The platform’s analytical AI, leveraging semantic analysis and comparative scoring algorithms, is instrumentalinprocessingtherecordeddataandgenerating thisinsightful,detailedperformanceanalysis.Thispagealso serves as a persistent repository for past performance reports,allowinguserstotracktheirprogressandidentify trendsintheirskilldevelopmentovertime.

5. CONCLUSION

Insum,thePersonalizedAIMockInterviewPlatformstands asatransformativesolution,meticulouslycraftedtobridge thecriticalchasmbetweenacandidate’sinherentpotential andthedemandingrealitiesofajobinterview.Byingeniously leveragingcutting-edgetechnologiessuchasdynamicfrontend frameworks, the intelligent backbone of advanced AI algorithmsfornaturallanguageprocessingandgeneration, and the robust data management provided by a scalable structured database system, this platform delivers an unparalleled,hyper-personalizedexperience.Itmeticulously tailors interview questions and provides insightful, datadrivenperformanceanalytics,uniquelyadaptedtoindividual jobrolesandeachuser’sevolvingproficiency.

6. FUTURE WORKS

The future scope of the “Personalized AI Mock Interview Platform”extendsbeyonditscurrentfunctionalities,aiming to broaden its accessibility, features, and utility in both individualandcorporatesettings.

6.1 Global Audience Accessibility

A key future direction involves making the platform accessible to a global audience. This would likely entail comprehensivelanguagelocalization,culturaladaptationsin interviewpractices,andpotentiallydiversequestionsetsto cater to international job markets, possibly leveraging multilingualLLMsandcross-culturallinguisticmodels.

Fig -5:VirtualInterviewRoom

Fig -6:PerformanceAnalysisPage

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056

Volume: 12 Issue: 06 | Jun 2025 www.irjet.net p-ISSN: 2395-0072

6.2 AI-Driven Career Counseling

The platform plans to incorporate AI-driven career counseling features. This would go beyond just interview preparation,offeringpersonalizedguidanceoncareerpaths, skill development recommendations, and potentially mentorshipconnections,allpoweredbyAIanalysisofuser skillprofiles,interviewperformancedata,andreal-timelabor markettrends.

6.3 Industry-Specific Mock Interview for Broader Professions

Toenhanceitsrelevanceacrossthejobmarket,theplatform intends to expand its industry-specific mock interview offerings. This means catering to a wider range of professionsbeyonditsinitialfocus,developingspecialized domain-specific question banks and tailored feedback mechanisms for fields like healthcare, finance, arts, and more,requiringthefine-tuningofAImodelsonspecialized datasets.

6.4 Real-Time Candidate Evaluation ToolforHiring Processes

Asignificantfuturedevelopmentincludespartneringwith organizations and recruiters. This collaboration would enabletheplatformtoserveasapre-screeningandreal-time candidateevaluationtoolinactualhiringprocesses.Sucha featurewouldstrengthenitsutilitynotonlyforjobseekers butalsoforcompaniesseekingefficientandobjectivepreemploymentassessmentsolutions.Thisintegrationwould positiontheplatformasavaluableassetinbothindividual career development and corporate talent acquisition strategies, potentially involving API integrations with applicanttrackingsystems(ATS).

REFERENCES

[1] Ninak Chavan “AI Based Mock Interview System” International Research Journal of Modernization in EngineeringTechnologyandScience(IRJMETS), October 2024.

[2] PuttammaT“MOCKINTERVIEWSYSTEMusingAI,ML and IMAGE PROCESSING” International Journal of Scientific Research in Engineering and Management (IJSREM), July2024.

[3] ShashankRai“SkillupBot:AnAIDrivenMockInterview Platform” InternationalResearchJournalofEngineering and Technology (IRJET), April2024.

[4] Yi-Chi Chou “An AI Mock-interview Platform for Interview Performance Analysis” 10th International Conference on Information and Education Technology (ICIET), 2022.