A Python library to train task-specific LLMs without training data, for offline NLP and Text Classification tasks, such as Guardrail Models and Intent Classification 🤖🚀

This is an intelligent safety chatbot designed to assist users in matters of personal safety and emergency guidance. It acts as a digital safety companion that not only responds empathetically but also provides real-world help when needed. The system can identify user intent, offer safety tips, and locate the nearest safe places such as hospitals.

building a chinese dialogue system based on the newest version of rasa(基于最新版本rasa搭建的对话系统)

Intent classifier with Pytorch for short conversational utterances (e.g., booking, cancellations, product or account inquiries, support requests, and greetings) with training, evaluation, and inference for multi-class intent detection.

AI-powered speech-to-text and text-to-speech platform with intelligent analysis using Deepgram. Features sentiment analysis, topic detection, intent recognition, and multiple voice personas.

A conversational AI flight booking chatbot with ML-powered intent classification, transaction management, and natural language processing for Berry Airlines.

A clean, provider-agnostic message classification service using AI models. Built with modern Python practices, featuring robust configuration management and optimized performance through intelligent caching.

ElectroCare AI Assistant Chatbot – A multilingual customer-support chatbot built with Flask, NLP, and intent classification, supporting English, Italian, and Tigrigna.

MIntRec2.0 is the first large-scale dataset for multimodal intent recognition and out-of-scope detection in multi-party conversations (ICLR 2024)

An open source library for deep learning end-to-end dialog systems and chatbots.

An intelligent, multi-agent contact center automation platform built with LangGraph and Vertex AI that provides 24/7 customer support through specialized AI agents.

Python library to extract intention and structured information from sentences written in natural language

🧠 Meet AIDesktopAssistant – your intelligent desktop companion that understands natural language, launches apps, searches files, sets reminders, and more. Powered by custom intent classification and entity extraction models, it transforms your commands into real desktop actions with speed and accuracy. Built for productivity, tailored for personal

A smart banking FAQ chatbot leveraging NLP and FastAPI to automate customer support.

🤖 A simple Python-based chatbot that uses a neural network (built with PyTorch) to classify user intents and respond accordingly. It is trained on a curated intents.json file containing patterns and responses related to general knowledge topics including Science🔬, Literature📚, Mathematics🧮, History🕰️, Technology💻 and Fun facts❓.

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

This study proposes a transformer-based intent classification model that recognizes key actions in HRI scenarios—'Start', 'Stop', 'Handover', and 'Request'. The model enhances classification performance by incorporating RGB data in addition to skeleton data.

Low latency, High Accuracy, Custom Query routers for Humans and Agents. Built by Prithivi Da

NLP deep learning Python program using Keras / Tensorflow 2. It uses a bi-directional transformer model for NLP. Input is a JSON file. A.I. will determine intent of each sentence input

Dataset Release for Intent Classification from Speech