The rapid advancement of local AI and machine learning tools has created exciting opportunities for building personalized virtual assistants. This session explores how you can combine existing open-source components to create a powerful personal assistant with minimal effort.

We'll demonstrate how text-to-speech and speech-to-text libraries enable natural interaction with machines, while tool calling capabilities with LLMs allow your assistant to control your digital environment. You'll learn how small LLMs can run locally on personal computers without requiring cloud infrastructure, and how knowledge graphs and vector databases can be integrated to provide rich contextual understanding.

Join us for a hands-on exploration of the AI/ML landscape that will open your eyes to the possibilities of custom personal assistants and how this technology can transform your daily digital interactions.