Email Spam Filtering System using Machine Learning

Email Spam Filtering System using Machine Learning

N. Renuka, A. Revanth Reddy, Shaik Rezwan Ali, L. Rishitha Goud, T. Rishitha Reddy, Prof. C M Preethi

School of Engineering,

MALLA REDDY UNIVERSITY, HYD, INDIA

Abstract: This project involves building an email management system using machine learning. It will sort emails into categories, help users organize their emails, and handle emails in multiple languages. For email classification, it will use the Naive Bayes algorithm. User feedback will be used to personalize the filtering process. Separate models will be developed for English and Hindi using Natural Language Processing (NLP). To handle infrequent login attempts, the system will detect emails containing login information. The project will focus on data collection, model evaluation, security, and scalability. A user-friendly interface will be designed, and advanced techniques like sentiment analysis and improved Hindi NLP will be explored.Flags emails containing login information of frequent logged in  information of the user.This system can greatly improve how users manage their emails by addressing key problems and offering a versatile and dependable solution.