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Shoutout Llamastack x 8VC challenge - WashU
The product translates natural language input into Python code for macOS API calls via LlamaStack integration, allowing users to control their desktop without memorizing command syntax or terminal operations.
Supports both text and voice input (via SpeechRecognition API) to trigger macOS system operations, with real-time execution history and status feedback, enabling hands-free or quick-command automation.
Displays command execution history with real-time status updates and success/error feedback, helping users track what commands ran, when they ran, and whether they succeeded or failed.
Provides a working React frontend and Flask backend integrated with LlamaStack (Llama-3.2-3B-Instruct model), allowing developers to test and iterate on LLM-based system control without external dependencies or cloud costs.