A chatbot application leveraging TensorFlow and Keras for AI model development, Angular for a responsive user interface, and Firebase for real-time backend services. This project demonstrates AI/ML integration with modern web development and cloud deployment.

This repository, deploys a backend service for AI Chatbot that specialized in Energy Saving Tips

AI chatbot for Vietnamese public services using RAG technology with FastAPI backend and modern web interface.

Backend for AInfo: AI-powered chatbot that recommends personalized public services by integrating scattered government information.

web application integrating Azure OpenAI services. It uses ASP.NET Core for backend development and SQL Server for data storage. The application features an AI-powered chatbot for user interactions, storing conversations in the SQL Server database for seamless continuity.

TubeTalk.ai is a modular and production-ready FastAPI backend that offers AI-powered services including a RAG-based chatbot for contextual conversations, a quiz generator from text or transcripts, a summary generator for concise content, and a topic extractor to identify key concepts.

CraveCrafters is an AI-powered food ordering web application that seamlessly integrates a chatbot to assist users with menu browsing, order placement, and customer service. The system features a Node.js backend, a FastAPI-based chatbot, and an interactive frontend built with HTML, CSS, and JavaScript. It utilizes MongoDB as its database.

Backend service that utilizes various LLMs to act as agent for RAG AI chatbot

🤖 AI Chatbot built with MERN + FastAPI - Modern chat interface with React frontend, Express backend, and Python FastAPI AI service

A backend service powered by LangChain’s Retrieval Augmented Generation (RAG) for building AI intelligent and scalable chatbot solutions.

A backend service for a chatbot application using FastAPI, MongoDB, and Ollama. It supports real-time AI response streaming via WebSocket.

BOB (Bot of Blenderbot) AI is a NLP Chatbot 🤖 that uses hugging face transformers ML library using Flask as Backend Service

A backend-only AI chatbot service with RAG pipeline, featuring JWT authentication, persistent chat history, and automated background tasks. Built with Django REST Framework, Mistral AI integration, and vector search capabilities.

Developed a full-stack AI chatbot powered by LLMs, using Next.js for the frontend, FastAPI for backend services, and LangChain for prompt orchestration, conversation management, and LLM integration.

Infrastructure setup for ACCESS AI project. Spin up and run essential services: Keycloak, PostgreSQL, Vector Store, and Context Service. Supports local development and production environments for a comprehensive chatbot system with frontend, backend, and context management.

The AI Chatbot is a backend application developed using FastAPI that integrates external AI services (like Groq LLM and Tavily search API). The chatbot processes user queries, sends them to the AI model, and returns accurate,meaningful responses in real time. The application is containerized using Docker and deployed on the Render cloud platform.

A production-ready, scalable AI chatbot platform showcasing modern microservices architecture, real-time streaming, secure service orchestration & advanced Retrieval-Augmented Generation pipelines. It emphasizes robust infrastructure engineering with API gateway, resilient Go & Python backend services, containerized deployment, and observability

Eat-and-Repeat-Family-Restaurant is a microservices-based backend application with modular domain architecture. It includes services for user, auth, menu, cart, order, payment, and delivery. Future enhancements include an AI chatbot, feedback module, and a React frontend.

The core backend service for nighutlabs.dev, designed to orchestrate diverse AI interactions. This application intelligently routes and processes incoming chatbot requests through three specialized pipelines: Standard Chat, RAG-enabled (Retrieval-Augmented Generation) context, and complex LangChain-based reasoning chains.

InsideOut is a FlutterFlow mobile app with a Supabase backend and FastAPI services. It features an AI-powered chatbot that detects emotions, a dynamic emotion dashboard, real-time sensor monitoring, in-app notifications, and MQTT-triggered character sounds for an interactive user experience.

Advanced offline AI-like chatbot with multilingual support (English, Somali, Arabic), persistent memory, personality modes, voice input, and a clean full-stack architecture — built with pure JavaScript, HTML, CSS, and a local Node.js backend. No APIs, no external services, privacy-first.

BrainuBot 🚀 is an AI-powered assistant developed for 🎓 Brainware University. It helps 👩‍🎓 students and 👨‍🏫 faculty access important 📚 university resources through a 💬 chatbot interface. The system integrates 🤖 Gemini AI API for smart natural language responses, ☁️ Firebase for backend services, and offers features like: 🎤 Voice input ...

Welcome to the ChatBot project! This is a conversational AI chat bot built using modern web technologies including Next.js, TypeScript, Tailwind CSS for the frontend, and Convex and Clerk for backend services. The chat bot can answer questions and have a normal conversation with users.

This project is a responsive chat interface built with React.js, designed to be the frontend for a chatbot application. It features a clean, modular structure for real-time message display and user input handling, making it a scalable foundation ready for integration with advanced conversational AI and backend services.

Git repository for service ai-chatbot-backend

Backend service for AI-powered chatbot application

Service de backend pour le chatbot api.ai

Git repository for service ai-rag-chatbot-backend

AI-powered finance chatbot with modular backend services

# Enterprise AI Chatbot Backend This is the backend service for an Enterprise Conversational AI Chatbot using Google's Gemini 1.5 Flash model.