A python chatbot framework with Natural Language Understanding and Artificial Intelligence.

⛲Imagination, Given Voice.✨

🤖💬 Rivebot Community Edition Platform (CEP) is an open source end-to-end software development platform with built-in chatbot management, customer ordering, customer care, and more. Self-host Rivebot CEP on your own servers, in a container, or on a cloud provider.

AI Screen Analyzer allows users to capture screenshots, analyze them using various AI providers and models, and engage in conversations about the images.

We’re developing AI agents tailored for sales and customer support. If you follow our documentation closely, you can operate this service almost entirely for free—99% free, in fact!

An AI conversational chat bot project using Microsoft Bot Framework 4.x

A High-Performance AI Agent Framework based on SBERT & SpaCy

An open source Chat-GPT using Open Ai api

A python chatbot framework with Natural Language Understanding and Artificial Intelligence (using NLTK) 💬

A lightweight, no-cost, chat agent that answers questions from custom knowledge files. No vector databases, no embeddings, no complex setup - drop in your md files and start chatting

AI-powered assistant that listens to your calls and provides intelligent, knowledge-based answers — completely invisible to screen sharing.

AI-powered chatbot built with Python, NLP, and Flask — automate customer support queries with intent recognition and dynamic responses.

This project involves creating an interactive chatbot using Rasa for natural language understanding and dialogue management. The chatbot helps users track shipment orders and handle healthcare-related queries, including weight loss programs. It integrates with shipment tracking APIs and features a web interface for user interaction.

AI-Chatbot is a responsive web app that uses OpenRouter.ai APIs for real-time conversations. Built with HTML, CSS, and JavaScript. 🤖🌐

Saiyad Husain's portfolio showcasing AI chatbot integration, PWA support, and modern frontend technologies like Next.js, React, TypeScript, and TensorFlow.js.

🚀 A scalable Python backend for an AI chatbot built for agriculture and aquaculture. It delivers real-time insights on crops, pest detection, and fish farming. With secure APIs and modular design, it integrates seamlessly into apps, empowering farmers 🌱 and businesses to boost productivity, efficiency, and sustainability.

I've taken my initial steps with Dialogflow and successfully integrated a basic chat feature into my website.

Modular AI chat engine with pipeline architecture

🌊 Streamline water management with Aquanex-Server, a robust tool for monitoring and analyzing aquatic data efficiently.

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