This project provides a FastAPI wrapper for interacting with Google Bard, a conversational AI by Google. It allows users to send messages to Google Bard and receive responses through a simple API.

Tiledesk's open-source visual, no-code designer where LLM/GPT AI meets a flexible 'graph' approach. Create conversations and automations effortlessly – a Voiceflow and Botpress alternative.

Explore LangChain and build powerful chatbots that interact with your own data. Gain insights into document loading, splitting, retrieval, question answering, and more.

LLM Roleplay: Simulating Human-Chatbot Interaction

This project showcases engaging interactions between two AI chatbots.

A comprehensive library with full Telegram Bot API type support

A Python Flask based script using the Dialogflow SDK to use Dialogflow's NLP in Snatchbot.

A simple Python Flask script to create a Dialogflow Integrator for Chatfuel

AI-based chatbot using Google Dialogflow for MNIT Jaipur inquiries on admissions, hostels, and general information.

CLI for Hexabot to create projects and run them.

🌍 EcoWise is a climate-savvy chatbot that helps users reduce their carbon footprint through interactive conversations. Powered by Google's Gemma2 2B model, it offers personalized tips for sustainable living. Developed as part of the KaggleX BiCOP Mentorship Program Project, EcoWise aims to inspire actionable change for a greener future.

This project is a medical chatbot leveraging AI and NLP to assist users with medical-related queries. It utilizes Pinecone for vector search, FastAPI/Flask for backend, and a clean HTML/CSS frontend for an interactive UI. The chatbot is designed to provide quick and reliable responses using machine learning models and advanced search techniques.

A simple chatbot script that uses NLTK to perform natural language processing tasks

This repository contains a simple yet powerful serverless Telegram bot built with Google Apps Script.

Creating a versatile, AI-powered ChatBot using ChatGPT for engaging and efficient customer interactions. Prioritizing real-time responses, personalization, and seamless integration with existing systems. Enhancing customer satisfaction through timely and accurate query handling.