B.E. Email Spam Detection System Final Year Project Report

Email Spam Detection System is a Python Flask based final year project developed for classifying email-like text as Spam or Ham using machine learning. This major project includes user authentication, user dashboard, spam prediction, prediction history, statistics, profile management, export options, admin dashboard, dataset upload, model training, metrics, confusion matrix, and global prediction management. Users can sign up, log in, analyze email subject and body, view spam/ham prediction result, check confidence score, save prediction history, search and filter records, delete history rows, view dataset information, update profile, change password, and export history as CSV or text. Admin users can manage users, view all predictions, upload datasets, train models, evaluate accuracy, precision, recall, F1 score, and view training history. This email spam detection source code is suitable for students who need a final year project, major project, minor project, source code, and project report based on Flask, SQLite, NLP, and machine learning.