An AI bot with RAG capability for Topics, Chat & Customer Support in Discourse, currently powered by OpenAI

AI-powered customer support platform with live chat, chatbots, and agent dashboard

🤖 Build a responsive IT Help Desk chatbot using AWS Lex for efficient support with features like password resets and network troubleshooting.

🚀 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

Cloud-based IT Help Desk chatbot using AWS Lex, Lambda, Cognito, Lex Web UI and Twilio (SMS & WhatsApp)

AI-powered customer support chatbot built with React and Python/Flask, integrated with the Claude API.

RAG-powered AI chatbot for Twitter/X customer support. LangChain + FAISS + GPT-4 + Streamlit.

Self-hosted AI customer support widget — connects to your knowledge base, answers questions, escalates to tickets.

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.

An AI-powered customer support agent that classifies user queries, analyzes sentiment, and provides accurate and context-aware responses for technical, billing, and general issues

AI-powered customer support chatbot built with Next.js, Gemini, Supabase, and Upstash, with lead extraction, rate limiting, and production-style API design.

Plantilla base para una proyecto Api escalable.

An AI-powered customer support agent that classifies user queries, analyzes sentiment, and provides accurate and context-aware responses for technical, billing, and general issues

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.