Very low latency speech to text, intent recognition, and text to speech, for building voice agents and interfaces

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Rhasspy voice assistant for offline home automation

TEXTOIR is the first opensource toolkit for text open intent recognition. (ACL 2021)

[RA-L21] Long-Term Pedestrian Trajectory Prediction Using Mutable Intention Filter and Warp LSTM

Open source intent recognition framework powered by LLMs.

Lightweight, intent-driven control plane for smart home & local automation. Uses iOS Shortcuts & Control URLs without local LLM/GPU hosting.

This repository is a comprehensive project that leverages the XLM-Roberta model for intent detection. This repository is a valuable resource for developers looking to build and fine-tune intent detection models based on state-of-the-art techniques.

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

Diagnostic prompts for understanding AI behavior and intent. Applied robopsychology for modern LLMs and hosted agents.

SynapDrive-AI is a simulation-first prototype for safe intent handling in BCI-inspired systems, combining context-aware routing, safety gating, replayable sessions, offline EEG-style analysis, and sequential task planning for controlled action execution.

Powered by langgraph, a voice-enabled chatbot system capable of handling multiple analysis tasks in parallel through intent detection.

ChatAssist Pro is an advanced AI-powered chatbot designed to streamline customer support interactions.

DropSuit - NLP & data manipulation library for JS & Node.js. Offers diverse functions for text analysis, language understanding & more. Open-source under Apache License 2.0.

Interactive NLP-based AI system designed to manage cinema bookings and provide a seamless user experience.

Research on the Construction Method of Intelligent Services Based on Prior Knowledge

Constructing a dialogue chat bot, which will be able to: answer programming-related questions (using StackOverflow dataset); chit-chat and simulate dialogue on all non programming-related questions.

Python NLP chatbot for train ticket booking and journey planning, featuring intent recognition, dialogue management, and evaluation.

Full-Stack, NLP, Voice AI | 24/7 Automated Customer Support

A serverless, event-driven chatbot architecture using Amazon Lex, AWS Lambda, and DynamoDB for scalable intent recognition and dynamic user interaction.