The EMail Classifier is an advanced email classification system designed to streamline the handling of email communications within organizations. This tool automatically classifies and routes emails to the appropriate departments, enhancing operational efficiency and improving customer service.
With the exponential growth of digital communication, managing emails has become a daunting task for individuals and organizations alike. In response, automated email classification systems have emerged as invaluable tools to streamline this process, facilitating efficient organization and retrieval of information. This project aims to develop and implement an advanced email classification system leveraging machine learning techniques.The proposed system will employ a combination of natural language processing (NLP) and LLM algorithms and supervised learning models to automatically categorize incoming emails into predefined classes or categories. By analyzing various features such as email content, sender information, and metadata, the system will classify emails into relevant categories, including inquiries, requests, complaints, and spam.
Email Retrieval: Utilizes the IMAP protocol in Python to fetch emails from the Barclays email server.
Text Classification: Applies machine learning techniques, specifically Google GenAI (Language Model), to classify emails into predefined categories such as complaints, queries, or requests.
Routing: Uses SMTP to forward classified emails to the relevant departments or teams within Barclays for further processing.
Feedback Loop: Implements a feedback mechanism where human intervention can validate and correct misclassifications, improving the accuracy of the classification model over time.