An Investigation on Machine Learning-Based Predictive Model for Human Trafficking in India

An Investigation on Machine Learning-Based Predictive Model for Human Trafficking in India | 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 An Investigation on Machine Learning-Based Predictive Model for Human Trafficking in India Soumyabrata Saha, Suparna DasGupta, Tanima Saha This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4350649/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 The multi-faceted crime of human trafficking has long afflicted India, and particularly vulnerable to the plight of Indian citizens. The study is designed to resemble an operational expedition and aims at identifying the connection between human trafficking and noteworthy festivals in various Indian states. In order to decipher and analyze the events that take place during these festivals, we use several machine learning algorithms and focus on key leaves in each state to identify hidden links between cultural fests and vulnerable people's victimization. This proposal helps to identify latent issues and provides detailed explanations for their occurrence during festivals. We concentrate on the pivotal leaves in each state, aiming to find sheltered connections between our cultural fests and the exploitation of vulnerable people. Our methods assist in identifying data patterns, just as they would in unravelling a mystery like festive mortal trafficking. This study creates a model to assess the risk of human trafficking in specific regions or populations to help law enforcement and NGOs guide targeted interventions by identifying trends and signs in past data. By highlighting high-risk areas and promoting community engagement in fighting human trafficking, the prediction model raises awareness. A framework for model refining and adapting will be created in this study to ensure forecast accuracy when new data becomes available. The machine learning algorithms detected human trafficking trends on Indian data with high Mean Absolute Error, Mean Squared Error, Root Mean Squared Error, and R2 scores, while Random Forest Regressor performed best with 0.802. Disquisition Exploitation Human Trafficking Machine Learning Prediction Full Text Additional Declarations No competing interests reported. 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-4350649","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":308839619,"identity":"15e27f90-51ec-4592-a37f-486ec63b83ee","order_by":0,"name":"Soumyabrata Saha","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABS0lEQVRIie2RP0vDQBTA3xmIy5Vbrxiar/CK+KdQyVepuBZ0EocMgUC6hHbNIg5+AaXQOeHgugRcI3awCJk6FISSxeKlNkhsC46C+U3vjvd77+49gIqKv0v4HTCIHBWcGsUV3ano66DurBROf6/gV0e+IxPA7PlHQ2pPLtmd+0oye2IeRsKdZzecMnYfQmaDcVJWMI6PX6hMW4HUUVNBcxRGXt2POa0HaYf4EmjLKSu8qxRdIEhADXRBckUjHqeYxAg1ByiGJcUMcmUp0JT7c5IthTV0Ivc9V6zkaU4+NhVIlFLzBKKkqqYnzh/UkA9WXZgP2pYuGMvr59t+ik3ZvRK1vrgIir/wREdhSL7xsJ47SmaLCTbE+HGaLcTZIBi/qYm1G2wgptOZ3bZ+PkyxV6xgvZEig3fyG75tNyQrHVkxU7ZZvaKiouJf8gnf3IKT/lntiAAAAABJRU5ErkJggg==","orcid":"","institution":"JIS College of Engineering, West Bengal","correspondingAuthor":true,"prefix":"","firstName":"Soumyabrata","middleName":"","lastName":"Saha","suffix":""},{"id":308839620,"identity":"6f664225-a6f7-43f8-98ed-df4149cf0c86","order_by":1,"name":"Suparna DasGupta","email":"","orcid":"","institution":"JIS College of Engineering, West Bengal","correspondingAuthor":false,"prefix":"","firstName":"Suparna","middleName":"","lastName":"DasGupta","suffix":""},{"id":308839621,"identity":"4f35cfca-4b03-491c-8372-c1acaded37c9","order_by":2,"name":"Tanima Saha","email":"","orcid":"","institution":"JIS College of Engineering, West Bengal","correspondingAuthor":false,"prefix":"","firstName":"Tanima","middleName":"","lastName":"Saha","suffix":""}],"badges":[],"createdAt":"2024-04-30 17:02:21","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4350649/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4350649/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":60306852,"identity":"1bbb2af2-b606-486b-bd23-aefb98ae3c56","added_by":"auto","created_at":"2024-07-15 11:59:45","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1633063,"visible":true,"origin":"","legend":"","description":"","filename":"TanimaPaper28.04.2024.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4350649/v1_covered_6434577e-8a16-4298-a17a-ac0dac5a59bd.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"An Investigation on Machine Learning-Based Predictive Model for Human Trafficking in India","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","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":"Disquisition, Exploitation, Human Trafficking, Machine Learning, Prediction","lastPublishedDoi":"10.21203/rs.3.rs-4350649/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4350649/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe multi-faceted crime of human trafficking has long afflicted India, and particularly vulnerable to the plight of Indian citizens. 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