Spam Detection System using machine Learning
Anurag Sharma · Zenodo (CERN European Organization for Nuclear Research) · 2026
This research paper presents an intelligent Spam Detection System developed using Python, Tkinter, and Machine Learning techniques. The system utilizes the Multinomial Naive Bayes algorithm with CountVectorizer for real-time spam message classification. The application includes features such as Dark Mode, Voice Output, Graph Visualization, Email Validation, and CSV History Log Storage.