A powerful and versatile desktop AI assistant built with JavaFX and powered by Spring AI. This application supports offline and online modes, allows you to integrate your preferred large language ...
This project demonstrates a real-time, AI-powered autocomplete feature. It uses a React frontend to capture user input, a Flask backend to process it, and Ollama with the tinyllama model to generate ...