Intelligent Virtual Assistant Using Natural Language Understanding and Voice Interaction

An intelligent virtual assistant that understands natural language and responds through voice interaction.

An intelligent virtual assistant that understands natural language and responds through voice interaction. This reference project walks through the whole job, from the problem and the design to the build and the evaluation, so that a developer can study how it works, run it and extend it.

It suits learners who want to work with language models and text or speech: preparing text data, using or fine-tuning a model, evaluating it and building an interface around it.

The main parts are a conversational interface, text or speech data preparation, model training, fine-tuning or prompting, evaluation with task-appropriate metrics, and a chat or web interface to use it. The reference build uses Speech Recognition API, Python, Hugging Face Transformers, spaCy, and PyTorch, with a clear project structure, setup instructions and sample data so that it can be run and extended.