Analytical Placement System: An AI-Enabled Platform for Structured Placement Preparation

Analytical Placement System: An AI-Enabled Platform for Structured Placement Preparation | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Analytical Placement System: An AI-Enabled Platform for Structured Placement Preparation Nayan Patil, Suraj Patil, Chaitanya kulkarni, Revati Rasapayle This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9547735/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Campus placement remains a high-stakes milestone for engineering graduates, yet most students approach recruitment drives without structured preparation, measurable readiness metrics, or feedback on the communication skills that recruiters actually evaluate. This paper presents the design, implementation, and evaluation of the Analytical Placement System (APS) — an AI-enabled web platform that integrates historical placement data analysis, personalized learning roadmap generation, dual-skill assessment (technical and communication), a composite Readiness Score engine, and an intelligent company–student matching algorithm into a unified deployment. The communication assessment module uses speech-to-text transcription, NLP-based filler word detection, and STAR-format structural analysis to evaluate and coach verbal and written responses. The technical assessment engine supports auto-judged coding challenges across Python, Java, C++, and JavaScript, and adaptive aptitude testing. The Readiness Score — a weighted composite of technical performance (40%), communication quality (30%), activity completion (20%), and historical data alignment (10%) — provides students and Training and Placement Officers (TPOs) with a continuous, objective progress metric. An embedded AI assistant, scope-bounded strictly to placement-relevant queries, achieved 98.5% scope adherence in red-team evaluation. Load testing confirmed stable performance under 500 + concurrent users with a mean AI response latency of 2.3 seconds. A structured usability study confirmed that students were able to complete the full registration-to-roadmap onboarding flow without external guidance. This work demonstrates that a holistic, data-driven placement preparation platform can meaningfully reduce the structural inequities that prevent capable graduates from performing to their potential in campus recruitment. Computer Architecture and Engineering Campus Placement Readiness Score Adaptive Learning NLP Speech Analysis AI Assistant Company–Student Matching LLM Personalized Roadmap Placement Prediction EdTech Soft Skills Assessment Full Text Additional Declarations The authors declare potential competing interests as follows: NOTHING Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-9547735","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":630716579,"identity":"98f7a203-885d-4af9-9856-7bd0a706fc40","order_by":0,"name":"Nayan Patil","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABDklEQVRIiWNgGAWjYDADNnbmAwYfKmyATMbGA8TokGBjZksonHEmDaSlgTgtDMw8Bp952w6DeXi1mLOfMfxcuMOujo+ZwXADz5nzdmvbDwNtqbGJxqXFsifHWHrmmWSgwxiSDSQqbidvO5MI1HIsLbcBhxaDAzkG0rxtzCAtxwwMztxONjsA1MLYcBi3lvNvjH/zttUDtTC2/0hsO5dsdv4hAS03csyAthwGamFmMDjYdsDO7AYhW248K7PmPXNcso2ZjcGw4UxygtkNoC0J+PxyPnnzbd4d1fzy7f0fjP9U2NmbnU9/+OBDjQ1OLQwMHAbAuENwE8HsBJzKQYD9AYoWe7yKR8EoGAWjYEQCAO7HYmIBhuXTAAAAAElFTkSuQmCC","orcid":"","institution":"MIT ADT UNIVERSITY","correspondingAuthor":true,"prefix":"","firstName":"Nayan","middleName":"","lastName":"Patil","suffix":""},{"id":630716656,"identity":"d1ecb856-7938-4d90-b2f7-332a21d210eb","order_by":1,"name":"Suraj Patil","email":"","orcid":"","institution":"MIT ADT UNIVERSITY","correspondingAuthor":false,"prefix":"","firstName":"Suraj","middleName":"","lastName":"Patil","suffix":""},{"id":630716657,"identity":"45c1b4bf-6464-4bf4-808d-48c5c7d1c78f","order_by":2,"name":"Chaitanya kulkarni","email":"","orcid":"","institution":"MIT ADT UNIVERSITY","correspondingAuthor":false,"prefix":"","firstName":"Chaitanya","middleName":"","lastName":"kulkarni","suffix":""},{"id":630716658,"identity":"e25205ac-c6d7-419a-bd72-9f29769183c3","order_by":3,"name":"Revati Rasapayle","email":"","orcid":"","institution":"MIT ADT UNIVERSITY","correspondingAuthor":false,"prefix":"","firstName":"Revati","middleName":"","lastName":"Rasapayle","suffix":""}],"badges":[],"createdAt":"2026-04-28 03:28:31","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":true,"conflictsOfInterestStatement":true,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":true},"doi":"10.21203/rs.3.rs-9547735/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-9547735/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":108490777,"identity":"c96a45fd-04d8-4c11-9c34-376081cae38f","added_by":"auto","created_at":"2026-05-05 09:48:14","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":327752,"visible":true,"origin":"","legend":"","description":"","filename":"APSResearchPaper.pdf","url":"https://assets-eu.researchsquare.com/files/rs-9547735/v1_covered_212a471e-998d-4249-bf51-f64ed5779235.pdf"}],"financialInterests":"The authors declare potential competing interests as follows: NOTHING\n","formattedTitle":"\u003cp\u003e\u003cstrong\u003eAnalytical Placement System: An AI-Enabled Platform for Structured Placement Preparation\u003c/strong\u003e\u003c/p\u003e","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"MIT ADT UNIVERTSITY","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Campus Placement, Readiness Score, Adaptive Learning, NLP, Speech Analysis, AI Assistant, Company–Student Matching, LLM, Personalized Roadmap, Placement Prediction, EdTech, Soft Skills Assessment","lastPublishedDoi":"10.21203/rs.3.rs-9547735/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-9547735/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eCampus placement remains a high-stakes milestone for engineering graduates, yet most students approach recruitment drives without structured preparation, measurable readiness metrics, or feedback on the communication skills that recruiters actually evaluate. This paper presents the design, implementation, and evaluation of the Analytical Placement System (APS) \u0026mdash; an AI-enabled web platform that integrates historical placement data analysis, personalized learning roadmap generation, dual-skill assessment (technical and communication), a composite Readiness Score engine, and an intelligent company\u0026ndash;student matching algorithm into a unified deployment. The communication assessment module uses speech-to-text transcription, NLP-based filler word detection, and STAR-format structural analysis to evaluate and coach verbal and written responses. The technical assessment engine supports auto-judged coding challenges across Python, Java, C++, and JavaScript, and adaptive aptitude testing. The Readiness Score \u0026mdash; a weighted composite of technical performance (40%), communication quality (30%), activity completion (20%), and historical data alignment (10%) \u0026mdash; provides students and Training and Placement Officers (TPOs) with a continuous, objective progress metric. An embedded AI assistant, scope-bounded strictly to placement-relevant queries, achieved 98.5% scope adherence in red-team evaluation. Load testing confirmed stable performance under 500\u0026thinsp;+\u0026thinsp;concurrent users with a mean AI response latency of 2.3 seconds. A structured usability study confirmed that students were able to complete the full registration-to-roadmap onboarding flow without external guidance. This work demonstrates that a holistic, data-driven placement preparation platform can meaningfully reduce the structural inequities that prevent capable graduates from performing to their potential in campus recruitment.\u003c/p\u003e","manuscriptTitle":"Analytical Placement System: An AI-Enabled Platform for Structured Placement Preparation","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-04-29 07:35:38","doi":"10.21203/rs.3.rs-9547735/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"94dfa46c-696e-47d1-8398-01e3ddff96ad","owner":[],"postedDate":"April 29th, 2026","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":67220446,"name":"Computer Architecture and Engineering"}],"tags":[],"updatedAt":"2026-04-29T07:35:38+00:00","versionOfRecord":[],"versionCreatedAt":"2026-04-29 07:35:38","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-9547735","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-9547735","identity":"rs-9547735","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}