AutoStream Social-to-Lead Agentic Workflow

A LangChain-powered conversational AI agent for AutoStream that uses RAG to answer pricing and product queries, detects user intent, and captures high-intent leads via a mock backend API.

An intelligent conversational AI agent for AutoStream, a SaaS platform for automated video editing. This agent demonstrates production-ready GenAI capabilities including intent classification, RAG-powered knowledge retrieval, and intelligent lead capture with advanced token optimization.

A Social-to-Lead Agentic Workflow for AutoStream SaaS using LangGraph and RAG

GenAI-powered conversational agent for Social-to-Lead workflow with intent detection, RAG, and lead capture.

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This project implements a production-style AI Sales & Support Agent for AutoStream, built using LangGraph, LangChain, Gemini (Google Generative AI), and Retrieval-Augmented Generation (RAG).

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AI-powered conversational agent for AutoStream - Social-to-Lead workflow with LangGraph

"AutoStream Social-to-Lead Agent automates lead capture from social media platforms, processes user interactions, and converts them into actionable sales leads. It streamlines marketing workflows, improves lead response time, and enhances overall customer engagement efficiency."

🚀 AutoStream Social-to-Lead Agent | ServiceHive ML Intern AI conversational agent that: ✅ Detects 3 intents: greeting/pricing/high-intent ✅ RAG: Answers from local JSON knowledge base ✅ State machine: Collects name→email→platform ✅ Tool: Executes mock_lead_capture() **DEMO FLOW:**

AutoStream Social-to-Lead Agent is an agentic AI system that converts user conversations into qualified SaaS leads using intent detection, RAG-based knowledge retrieval, multi-turn state management, and safe tool execution. Built as a real-world GenAI project.