LLM-based email automation system with agent workflows, Pinecone retrieval, LangGraph orchestration, and OpenAI-powered response generation. Featured on Product Hunt.

Hiring Copilot is a multi-agent, LangGraph-based automation system that simplifies and accelerates the hiring process. From analyzing job descriptions to parsing multiple resumes, ranking candidates, auto-generating emails, suggesting interview slots and notifying — this tool acts as an AI hiring assistant for recruiters.

Demonstrates how to build an AI-driven email automation pipeline with LangGraph and LLM-based agents.

Autonomous email agent using LangGraph and Composio MCP: filters, summarizes, and drafts replies to emails via console, supporting manual edits and trigger-based automation.

A LangGraph-powered multi-agent platform using LLMs to handle university scheduling, email automation, RAG-based student queries, and UniTime synchronization

Agentic RAG-based SME(Subject Matter Expert) AI coach built with LangGraph, Gemini, FastAPI, Elasticsearch, and TruLens — enabling report generation, email automation, and self-evaluation.

An intelligent multi-agent workflow automation system that processes natural language queries to perform CRM operations in HubSpot and send email notifications. Built with a sophisticated agent-based architecture using LangGraph for orchestration.

An AI-driven investment advisor built with Groq Llama 3.1, LangChain, LangGraph, and Python. It analyzes risk tolerance, recommends ETFs, fetches market prices, and emails a complete investment summary. A great example of LLM-based agents + real financial data automation.