Spam Email Detection System

The Spam Email Detection System is a Machine Learning-based web application that classifies email messages as Spam or Not Spam (Ham). The system uses the Multinomial Naïve Bayes algorithm and TF-IDF vectorization to analyze email text and make accurate predictions.

Developed using Python 3.10, Flask, and Scikit-learn, it provides a simple web interface where users can enter an email message and instantly receive the classification result. This project demonstrates the application of Machine Learning and Natural Language Processing (NLP) in improving email security and filtering unwanted messages.

• Synopsis
• Project Report
• Presentation
• Viva Questions and Answers
• User Manual
• Code