This article details how to add real-time AI tag suggestions to Flutter notes using the free Groq API with the Llama-3.3-70b model. The solution aims to eliminate the cognitive overhead of manual tagging by integrating AI to automatically classify notes.
This content details the process of building a voice-controlled AI agent that can listen, think, and act, leveraging technologies like Groq for models and Gradio for UI. It highlights key architectural choices and challenges faced during development, such as running Whisper locally, obtaining structured JSON from LLMs, and handling Windows file extension issues.
VoiceAgent AI is a local voice-controlled AI agent leveraging the Groq API for audio transcription (Whisper) and intent classification (LLaMA). It processes audio input, executes local tools, and presents all functionalities within a Streamlit interface.