Career Navigation and Resume Evaluation with Automation Using Deep Learning

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

Volume: 13 Issue: 02 | Feb 2026 www.irjet.net p-ISSN: 2395-0072

Career Navigation and Resume Evaluation with Automation Using Deep Learning

Ms. T.P. Kamatchi¹, Ms. M. Krithika², Srivarshan S ³, Vikram P4, Gokula Krishnan K5, Muhil R⁶

¹ Head of Department, Department of Computer Engineering, PSG Polytechnic College, Coimbatore, Tamil Nadu, India

² Lecturer, Department of Computer Engineering, PSG Polytechnic College, Coimbatore, Tamil Nadu, India 3,4,5,6 Final Year Diploma Student, Department of Computer Engineering, PSG Polytechnic College, Coimbatore, Tamil Nadu, India

Abstract - Selecting a profession and crafting resumes is a crucialandchallenging undertaking.Manyjobseekers do not get adequate advice on choosing the right career paths and find it difficult to create resumes that represent them effectively. This paper introduces Career Navigation and ResumeAssessmentwithAutomationtoaddressthisproblem, assisting job seekers in crafting professional resumes, evaluating their resumes, and offering suggestions for appropriate career paths. To achieve this, essential informationisgathered from jobseekers,includingeducation, skills, projects, and experience, via organized inputs. Automationisutilizedtoconductanalysisonresumestoverify theircompatibility withjobpositions.Asaresult,jobrolesand career guidance are offered to job seekers to inform them of their abilities and constraints. This initiative is a crucial resourceforthoseseekingemployment,asitwouldstreamline theprocessofchoosingcareersandenhancetheattractiveness of job seekers to prospective employers.

1. INTRODUCTION

In these days of intense competition in the work environment, choosing a right and effective career and preparing an ideal resume is the key to a smooth and prosperous career in a respective field. Unfortunately, students and newly recruited individuals face an issue in findingrelatedcareers,whereasresumesalsomajorlylack industryrequirementsandthusfacethechancesofrejection. The Career Navigation and Resume Evaluation with Automation system will help in overcoming these issues through an automated platform for resume generation, analysis, and career guidance. The proposed system will assistinstructuringaresume,evaluatingtheirprofile,and providingappropriatesuggestionsforacareerorjobrole.

1.1 Resume Analysis and Navigator

Inthisphase,theresume,whichiscreatedoruploaded,is analysed.Thenecessaryparameters,suchasskills,levelof education, and experience, are determined. The system matches the created profile and job roles, giving the user careersuggestions.Recommendationsforskillandresume enhancementaremade.

1.2 Resume Builder Module

The Resume Builder module enables the gathering of information for users, such as their personal information, education, skills, certifications, projects, and experiences. Usingpre-designedtemplates,thesystemgeneratesaneat andcleanresumeformat.

1.3 Objectives

• To help students and individuals looking for employment in selecting a career according to their skillsandqualifications.

• To automate the process for creation and assessmentofresumesthroughstructuredinputs.

• Analysing resumes in order identifying key characteristicssuchasskills,education,andexperience.

•Toapplytheuserprofilestosuitablevacancies.

• To offer career guidance and recommendations on enhancingresumes.

• Facilitate reduced manpower effort for career guidanceandscreeningofresumes.

1.4 Existing System

Presently, the system in place for career guidance and resume screening is mostly manual, relying on career advisors, job portals, and simple resume templates. Job seekers usually write resumes without any rigorous screeningforlayout,keyterms,andmatchingresumeswith corresponding job roles. Presently, most systems are essentially for job searching, not for resume quality and appropriatenessforacareer.

While virtual platforms make it easy to get exposure to varioustypesofjoboffers,theylackadeptresumeanalysis capabilities and do not make available in-depth career counselling support. Hence, there are instances where applicants continue to apply for inappropriate jobs or for resumesthatdonotmatchindustrystandards.

ExamplesofexistingsystemsareLinkedIn,Naukri,Indeed and Monster, which are primarily offering job search

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

Volume: 13 Issue: 02 | Feb 2026 www.irjet.net p-ISSN: 2395-0072

facilities but are not offering complete automation for resumeanalysisandguidingforacareer.

1.5 Drawbacks of Existing System

• Resume screening is highly manual and timeconsuming.

• The website does not have personalized career guidancebasedontheuser'sskills.

• Job portals basically work on the posting of jobs ratherthanthequalityoftheresume.

•Usersgetnoorverylittleresponsetoimprovethe resume.

•Difficultforfresherstoidentifysuitablejobroles.

•Inconsistentscoringbecauseofhumansubjectivity anddifferencesinstandards.

1.6 Proposed System

The proposed system for Career Navigation and Resume EvaluationwithAutomationoffersanautomatedmethodfor resume evaluation and career solutions. The proposed system requires user information in terms of education, skills,projects,andexperiencefromtheuserthroughauser interface.Theuploadedorgeneratedresumeisassessedfor extractionofkeydata.

The resume evaluation module evaluates the resume on qualityandcompleteness.Onthebasisofextractedfeatures, thejobmatchingmodulerecommendspossiblejobrolesor paths. The resume builder module produces a formatted resumeinPDFform.

The design provides for scalability and adaptability. The above-mentioned system assists users in taking proper career-relateddecisionsandenhancingtheiremployability.

1.7 Advantages of Proposed System

 Automated Resume Evaluation: Reducesmanual effortandimprovesaccuracy.

 Career Guidance: Suggestssuitablejobrolesbased onuserprofiles.

 Resume Builder: Generates professional and structuredresumes.

 Time Efficient: Speeds up resume screening and careeranalysis.

 User Friendly: Simple interface for students and freshers.

 Scalable Architecture: Allows future enhancementsanddataexpansion.

 Skill Gap Identification: Highlightsmissingskills forcareergrowth.

2. SYSTEM ARCHITECTURE - CANDIDATE PORTAL

The proposed Career Navigation and Resume Evaluation with Automation system have a modular design. Each module in the proposed system has been designed to accomplish a single task and functions together in automatingtheresumegenerationandevaluationprocess.

Thesystemconsistsofthefollowingcomponents:

User Interface

Resume Builder

Resume Parsing and Feature Extraction

Resume Evaluation Engine

Job Matching and Career Recommendation Module

Eachofthecomponentsworksintandemwiththeothersin order to automate the process of resume assessment and careerguidance.

Further,thesystemhasa modularstructurethatmakesit easytomaintainaswellasdevelopinthefuture.Thisisdue totheabilitytointroduceanynewjobtypes,skillcategories, orassessmentruleswithoutinterferingwiththepre-existing modules.Thiswillincreasethemalleabilityofthesystem.

Table -1: SystemComponentsDescription

Module

Description

ResumeBuilder Generatesstructuredand professionalresumes

ResumeEvaluation Analyzesresumequalityand completeness

JobMatching

Matchesuserskillswith suitablejobroles

CareerGuidance Suggestsappropriatecareer paths

2.1 User Interface

The user interface is used for the entry of personal information such as education, skills, projects, and experience.Theinterfacealsoallowstheusertouploadan existingresumeorcreatea newresumeusingtheresume buildermodule.Theinterfaceisdesignedtofacilitateeasy interactionbetweentheuserandthesystem.

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

Volume: 13 Issue: 02 | Feb 2026 www.irjet.net p-ISSN: 2395-0072

2.2 Resume Parsing and Evaluation Module

Thismoduleprocessestheuploadedorgeneratedresumeby extracting key information such as skills, education, certifications,andexperience.Theextracteddataisanalysed toevaluatethecompletenessandrelevanceoftheresume content.Theevaluationhelpsidentifystrengthsandmissing componentsintheresume.

2.3 Feature Extraction Module

The extracted resume data is converted into structured features. Important attributes like technical skills, experiencelevel,andeducationalbackgroundareidentified and organized for further processing. This step enables accuratecomparisonwithjobrolerequirements.

2.4 Job Matching Module

The job matching module compares the user’s profile featureswithpredefinedjobroledescriptionsstoredinthe system.Basedonsimilarityandrelevance,suitablejobroles are identified and ranked. This helps users understand whichcareeroptionsbestmatchtheirprofiles.

2.5

The resume builder module generates a professional and standardizedresumeformatusinguser-provideddetails.It ensuresproperstructure,readability,andconsistency.Users candownloadthegeneratedresumeforjobapplication.

Basedonresumeevaluationandjobmatchingresults,this moduleprovidescareerguidanceandrecommendations.It suggests suitable career paths and highlights skill improvementsrequiredtoachievedesiredroles.

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

Volume: 13 Issue: 02 | Feb 2026 www.irjet.net p-ISSN: 2395-0072

2.7 Cover Letter Module

TheCoverLettermoduleallowsuserstocreatepersonalized cover letters for job applications based on the extracted resume information and chosen job roles. The module providesthreedifferentmodesofgenerationdependingon theapplicationscenario:

• Professional Mode: Thismodehelpstocreateaformal andtraditionalcoverletterthatcanbeusedforcorporate andtechnicaljobroles.

• Modern Mode: This mode assists in creating a contemporaryandconcisecoverletterwithabalanced professionaltone.

• Creative Mode:Thismodehelpstocreateanexpressive andengagingcoverletterthatcanbeusedforcreativeor non-traditionaljobroles.

Theuserscanchoosearesumefile,pickthedesiredtemplate type,andcreateapersonalizedcoverletteraccordingly.

2.8 Application Tracker Module

TheApplicationTrackermoduleenablescandidatestotrack and manage all their applications for various jobs in one location.Themodulegivescandidatesanoverviewoftheir application status, including the total number of applications,jobsappliedfor,stagesofinterviews,andoffers received.

Candidatescancreatenewapplications,changethestatusof applications,andtracktheprogressofapplicationsusinglist view,calendarview,orstatisticsview.

TheApplicationTrackermoduleenablescandidatestoplan theirjobsearcheffectivelyandpreventsthemfrommissing criticalrecruitmentstages.

The AI Mock Interview module is a platform that offers candidates an interactive environment to practice their interviews.Themoduleenablescandidatestoselectthetype ofinterviewtheywanttoconducttoenhancetheirskills.

The Practice Mode provides immediate feedback and suggestionsforimprovementtoenablecandidatestoknow

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

Volume: 13 Issue: 02 | Feb 2026 www.irjet.net p-ISSN: 2395-0072

their areas of strength and weakness. The Real Interview Modeprovidesareal-lifeinterviewsettingwherecandidates receivenohintsorcorrections.

The module enables candidates to enhance their communicationskillsandprepareforjobinterviews.

3. SYSTEM ARCHITECTURE - RECRUITER PORTAL

The Recruiter Portal is intended to assist recruiters in posting job vacancies, searching appropriate candidates, assessing job applications, and analyzing recruitment performance. The Recruiter Portal is integrated with the Candidate Portal to facilitate an efficient and automated recruitmentprocess.

TheRecruiterPortalisbuiltusingamodulardesign,inwhich each module is intended to handle a specific recruitment task. This design enhances scalability and enables new recruitmentpolicies,jobtypes,orassessmentcriteriatobe incorporatedwithoutimpactingtheothermodules.

Thesystemconsistsofthefollowingcomponents:

• Recruiter Dashboard

• Job Posting and Management Module

• Application and Candidate Search Module

• Candidate Evaluation and Ranking Module

• Recruitment Analytics Module

Each component works together to simplify recruitment operationsandimprovehiringaccuracy.

Table –2:RecruiterPortalComponentsDescription

RecruiterDashboard Displaysjobandapplication overview

JobPosting Createsandmanagesjoblistings

CandidateSearch Searchesandfilterscandidate resumes

CandidateEvaluation Rankscandidatesbasedonjob relevance

RecruitmentAnalytics Provideshiringperformance insights

3.1 Recruiter Dashboard

The Recruiter Dashboard is a system feature that gives a recruitmentactivitysummary.Thesystemshowsimportant informationlikethenumberofactivejobs,totalapplications, pendingreviews,andtotaljobviews.Therecruitercaneasily monitorrecentapplicationsandjobpostingupdatesusing thedashboard.

The Recruiter Dashboard allows recruiters to monitor recruitmentprogressandactaccordingly.

3.2 Job Posting and Management Module

Thismoduleenablesrecruiterstocreate,publish,edit,and manage job postings. Recruiters can specify job title, location,employmenttype,andexperiencelevel.Themodule alsodisplaysapplicantcountandjobviewstatisticsforeach posting.

Thismoduleassistsrecruiterstomanagemultiplejobroles andtrackapplicationfloweffectively.

–11:JobPostingsManagementScreen

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

Volume: 13 Issue: 02 | Feb 2026 www.irjet.net p-ISSN: 2395-0072

3.3 Candidate Search Module

TheCandidateSearchmoduleenablesrecruiterstosearch candidate resumesusingsemanticintentsearchandskillbased filters. Recruiters can enter job requirements or keywords to identify suitable candidates. The system supportsadvancedfilteringtoimprovesearchaccuracy.

Thismodulereducesmanualresumescreeningandspeeds upcandidatediscovery.

3.4 Applications Management Module

This module enables recruiters to review and manage applications submitted by candidates for various job postings. It displays applicant details such as candidate name,appliedjobrole,andapplicationstatus.

Recruiters can view the candidate’s resume and perform actionssuchasshortlistingorrejectingapplicationsbased on job suitability. This module simplifies application handlingandsupportsefficientrecruitmentdecisions.

3.5 Recruitment Analytics Module

The recruitment analytics module provides insights into hiringperformance,includingtotalapplications,candidates hired, and average applications per job. It also displays application trends over time to help recruiters analyse recruitmenteffectiveness.

These insights assist recruiters in optimizing hiring strategiesandimprovingjobpostingperformance.

Figure 15 above explains the complete working of Career Navigation and Resume Evaluation with Automation in termsofsteps.Itbeginswhentheindividualinsertshisor her personal information or resumes through the user interface. A parsing procedure is used to pull out vital information from resumes like skills, experiences, and educational background. A resume evaluation module is usedtodeterminewhetheritisanidealresumeornot.Jobs are selected accordingly through job matching and career recommendation modules. A final procedure includes

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

Volume: 13 Issue: 02 | Feb 2026 www.irjet.net p-ISSN: 2395-0072

generatinganoptimizedresumeinPDFformusingResume Builder.

5. CONCLUSION

Thesystemfor Career Navigation and Resume Evaluation with Automation offers a very useful solution for supportingtheprocessofassistingstudentsandjob-seekers intheprocessofcareernavigation.Throughautomationof thetaskofgeneratingandevaluatingresumes,thesystem helpstheuserdiscoverthestrengthsoftheuseraswellas identifyappropriatejobpositions.Theideawilldecreasethe burden of assisting in the process of career navigation. Futureimprovementsmayincludetheuseoflargerdatasets forthetaskofrecommendingjobs.

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