Automated Email Spam Classifier Application Using Python Flask, Machine Learning and Selenium Tool

Automated Email Spam Classifier Application Using Python Flask, Machine Learning and Selenium Tool | 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 Automated Email Spam Classifier Application Using Python Flask, Machine Learning and Selenium Tool Sathvik Eppakayala, Shiva Kumar Goud Ankula This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5746284/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 We have created an email spam classifier using Naïve Bayes in machine learning and designed a user interface using Python Flask. Recently, we got the idea to prepare a model that automatically classifies spam emails. To achieve this, we used the Selenium tool to grab our emails from the mail folder, test them with our Flask application, and then classify them into spam and ham. Remember, this whole process is automated. Initially, we created the pickle model using Naïve Bayes and deployed it into a Python Flask application. Then, we created a Selenium automated algorithm that works continuously. However, each part of our project will be defined step-by-step in detail. We have also created an algorithm, which is attached in this article. Finally, we have achieved the desired results and are still researching ways to improve the model. Selenium Naïve Bayes Flask Framework Machine Learning Deployment Automated System User Interface 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-5746284","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":397036692,"identity":"d926b2fb-b16c-4b57-9eb8-e5be767df515","order_by":0,"name":"Sathvik Eppakayala","email":"data:image/png;base64,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","orcid":"","institution":"Undergraduate at R.V.R. \u0026 J.C. 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