AI Chatbot Development using LangGraph

AI-Powered Chatbot Using LangGraph

Developed an intelligent AI chatbot capable of handling natural language conversations and providing context-aware responses in real time. The chatbot leverages advanced Large Language Models (LLMs) and LangGraph workflows to manage multi-step interactions, maintain conversation context, and deliver accurate answers to user queries.

The system features a responsive web interface, a high-performance FastAPI backend, and a scalable architecture designed for seamless deployment. The chatbot can be adapted for customer support, knowledge management, virtual assistants, FAQ automation, and business process automation.

Key Features:
• Real-time conversational AI with context retention
• Intelligent query processing and response generation
• Multi-step workflow orchestration using LangGraph
• FastAPI-powered backend for high performance
• Responsive and user-friendly web interface
• Docker-based deployment for scalability and portability
• Secure API integration and environment management

Technologies Used:
Python, LangGraph, FastAPI, Groq LLM, HTML, CSS, JavaScript, Docker, Git, and GitHub.