🚀 Revolutionize your data interaction with a cutting-edge chatbot built on Retrieval-Augmented Generation (RAG) and OpenAI’s GPT-4. Upload documents, create custom knowledge bases, and get precise, contextual answers. Ideal for research, business operations, customer support, and more!

A full-stack AI-powered customer support chat application built with SvelteKit, Node.js, and LLM APIs, featuring session-based conversations, persistent storage, and a clean production-ready architecture.

Smart AI-powered Customer Support Chatbot | Future Interns ML Internship Task 3 | Rasa, FastAPI, Streamlit, MongoDB

This project is a Generative AI–powered Customer Support Chatbot designed to assist users with queries in real time. It uses Python (Flask) for backend integration and the Groq API for generating intelligent, context-aware responses.

A Django-based Customer Support Chatbot powered by Google Gemini (gemini-3-flash-preview). Users can sign up, sign in, create chat sessions, and interact with an AI chatbot. The project uses PostgreSQL for persistent data storage and supports automatic chat title generation.