Correspondence Management System (Email Workflow Tracking with Instant Messaging Channels)

CEREC and Seed corpus for coreference resolution for email threads taken from the Enron Corpus

A Python script that parses .eml email files, extracts relevant information, and generates a structured .docx Word document with the results.

Python evaluation pipeline for email event and action extraction, comparing a rule-based baseline with a local LLM using cleaned real-world data, structured benchmarking, and failure analysis.

A Node.js tool to import .eml files into a Gmail label via IMAP. Features include duplicate tracking, robust retry logic, logging, and IMAP connection keep-alive. Ideal for bulk email imports with preserved dates.

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.

LLM-powered email QA pipeline on AWS Bedrock (Claude) — scans 40k+ marketing emails for 15 issue types with parallel workers, checkpoint/resume, and precision/recall evaluation against ground truth

Intelligent Email Classification & Auto-Response System A modern web application that automatically classifies emails as productive/unproductive, detects intent (meeting, approval, budget, notification), and suggests contextual responses. Built with FastAPI, Alpine.js, and deployed on AWS Lambda for serverless scalability.

AI-powered booking email platform that classifies, extracts and drafts responses for Airbnb, Booking.com & co. — built with Python, Flask, LangGraph, and React.

Python automation script that processes email data, enriches it with a reference dataset and generates structured Excel reports.

AI-powered document assistant with RAG technology. Upload docs, ask questions, get intelligent answers. Features email integration, multilingual support, and secure authentication

🤖 Autonomous AI Employee for Gmail - Monitors inbox, scores priority, extracts tasks, drafts replies, and flags financial ops for human approval. Built with Python + Gmail API. Features: Priority scoring, task extraction, HITL protection, live dashboard. Bronze Tier complete! 🏆

Python automation for monitoring incident notifications from Azion CDN via email and triggering Zabbix alerts. Reduces incident detection time by 80%.

MailQueueManagedAssemblies is an archive project setting .Net assemblies to controlling check, queue and send emails from queued database and manage email queue batches

AI-powered email automation system with multi-stage LLM workflow for classification, summarization, entity extraction, and intelligent routing. Achieves 93% time reduction in document processing.

The Lead Processing System turns a raw inbound email into a structured operational record — a classification, a confidence score, an urgency and lead-value estimate, and a recommended next action — with the model responsible for exactly one of those, and business rules responsible for the rest

A review-first engine for PDF parsing.

Three separate scripts to gather data from the Outlook desktop application using Python and Regular Expressions.

IBM GenAI Challenge 2024 submission: Automated processing of customer-service emails using LLMs on IBM Watsonx. Delivered a real-world solution in a collaborative team setting.

Automated email translator for IMAP email accounts