📤 Email Classification and Automatic Re-routing with the power of LLMs and Distributed Task Queues. 🏆 Winner at Barclays Hack-O-Hire 2024!

Flask web app made using machine learning model. It uses mails from authorized user's Gmail and shows mails with categorical label on web app based on the mail messages using preprocessed machine learning model on training dataset.

Code created for blog series on unsupervised feature/topic extraction from corporate email content. An implementation for cleaning raw email content, data analysis, unsupervised topic clustering for sentiment/alignment and ultimately several deep-learning models for classification. Details at www.avemacconsulting.com.

A machine learning model that predicts whether an email is spam or not.

An efficient text classification pipeline for email subjects, leveraging NLP techniques and Multinomial Naive Bayes. Easily preprocess data, train the model, and categorize new email subjects. Ideal for NLP enthusiasts and those building practical email categorization systems using Python.

A spam email classification model using Naive Bayes with machine learning, designed to categorize emails as spam or not spam.

This is a team of agents powered by crewai that are able to receive, classify, search, and reply to emails

Email Classification(Linear Classifiers and Bi-LSTMs) and NER using CRF models

A collection of Python scripts designed to streamline various tasks related to managing emails and PDF attachments. Easily extract clean email text, classify emails as automated or human-generated, process PDFs, and automatically fill PDF forms using saved user profile data.

A Python Flask backend using decision tree classifiers, ChatGPT, JWT authentication, and MongoDB storage for an email classification system; containerized with Docker for seamless deployment.

ML Based Email Classifier

MailGuard is an intelligent spam detection tool that classifies emails as spam or ham using a Multinomial Naive Bayes model. Built with Streamlit, it leverages natural language processing techniques for text cleaning and feature extraction.

Llama-Agent Spam Classifier is an AI-powered system that categorizes emails as Important, Casual, or Spam using CrewAI and the Llama 3 model. It automates email management with multi-agent collaboration, enhancing communication efficiency. 🚀