SpamShield AI is an intelligent Artificial Intelligence application designed to solve real-world email classification challenges. It processes incoming text using Natural Language Processing (NLP) techniques and predicts whether an email or message is Spam (unwanted/fraudulent) or Ham (legitimate).

• Algorithm: Multinomial Naive Bayes Classifier
• Feature Extraction: TF-IDF Vectorizer (Term Frequency - Inverse Document Frequency)
• Dataset: SMS Spam Collection (~600 balanced records)
• Preprocessing: Lowercasing, URL/punctuation removal, Stopword filtering, Porter Stemming
• Storage: SQLite DB for prediction log history & user feedback

Developed By: Harsh Shamsundar Bhayekar

Project: AI Virtual Internship Project (Spam Email Detector)

Version: 1.0 (August 2026)