Email Classifier Project

This project is an AI-based email classifier that identifies and categorizes incoming emails as spam or not spam. The system integrates with a Gmail account using the IMAP protocol and performs email classification using a pre-trained machine learning model.

Features

• Fetches emails from a Gmail inbox using the imap-tools library.
• Preprocesses email text using stemming and stopwords removal.
• Predicts whether an email is spam or not using a machine learning model.
• Automatically moves spam emails to the Spam folder in Gmail.

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Prerequisites

Before running the project, ensure you have the following installed:

• Python 3.6+
• Required Python libraries: imap-tools, scikit-learn, nltk, re, pickle

You also need:

1. Model Files:

   • Model1.pkl - Pre-trained classifier (e.g., Random Forest, Logistic Regression, etc.).
   • Vectorizer1.pkl - CountVectorizer fitted to the training dataset.
   • stopwords.pkl - A pickle file containing the stopwords list.

2. Gmail Account:

   • Make sure IMAP access is enabled in your Gmail account.
   • Create an app password (instead of using your account password) for enhanced security.

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Installation

1. Clone the repository:

   git clone <repository_url>
   cd email-classifier