Paper Title

Guardians of the Inbox-Constructing an Email Spam Classifier for Seamless Deployment

Article Identifiers

Registration ID: IJNRD_204401

Published ID: IJNRD2308373

DOI: Click Here to Get

Authors

Mahinoor Sindagiri , Prof. D. A. Kulkarni , Dr. M. M. Math

Keywords

- Naive Bayes, Machine learning techniques, Support Vector Machine algorithm, Classifiers, DevOps, Jfrog, Gitlab.

Abstract

In today's dynamic digital landscape, the proliferation of email communication has revolutionized connectivity and collaboration. However, the persistent challenge of email spam disrupts productivity, clogs inboxes, and poses security threats. In response, the fusion of Machine Learning (ML) and DevOps principles has emerged as a compelling strategy. This project explores the development and deployment of an Email Spam Classifier through ML, enriched by DevOps principles. The dataset is pre-processed using various methods, including converting plain text into features, stemming and tokenization. Naïve Bayes, a classifier utilized in supervised machine learning techniques. for the purpose of detecting spam with the utmost precision score. The approach demonstrates the potential of machine learning in identifying spam emails and enhancing the effectiveness of existing screening algorithms. This project presents an integrated approach to combat email spam, utilizing ML algorithms and DevOps practices. The Email Spam Classifier demonstrates efficient identification, while the deployment process showcases streamlined automation and collaboration, fostering a comprehensive solution to the challenge of email spam.

How To Cite

"Guardians of the Inbox-Constructing an Email Spam Classifier for Seamless Deployment", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 8, page no.d523-d528, August-2023, Available :https://ijnrd.org/papers/IJNRD2308373.pdf

Issue

Volume 8 Issue 8, August-2023

Pages : d523-d528

Other Publication Details

Paper Reg. ID: IJNRD_204401

Published Paper Id: IJNRD2308373

Downloads: 000121175

Research Area: Engineering

Country: Vijayapur, Karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2308373.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2308373

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

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Call For Paper

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area