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Lightweight, Java based Windows voice assistant using the VOSK voice recognition library combined with a command interpretation framework I designed. Currently configured for personal use but I may eventually release the framework.
A NotebookLM-inspired multimodal RAG platform for ingesting, encoding, and reasoning over text, images, and video with traceable, source-grounded generation.
A lightweight desktop application that captures your voice, converts it to text in real-time, and stores the transcriptions in a local SQLite database — complete with timestamp, language selection, waveform visualizer, and audio playback.