Description
This project aims to build a fully local, privacy-preserving AI voice assistant using OLLama, LLaMA 3.2, LMM, and the M5Stack Atom Echo. The system will enable offline speech interaction, running some language processing on a local device or server, without relying on cloud-based APIs. The Atom Echo will act as the voice interface (microphone + speaker), while OLLama will manage local model inference, enabling natural language understanding, reasoning, and spoken responses.
Goals
Local-only operation: Ensure all speech recognition, LLM inference, and response generation occur offline for maximum privacy.
Voice input/output pipeline: Create a robust flow using the Atom Echo for audio capture and playback.
Run LLaMA 3.2 and multimodal models locally: Use OLLama to serve LLaMA 3.2 for conversational logic and use LMM for possible multimodal inputs.
Wake word / push-to-talk support: Implement a simple and reliable mechanism for activating the assistant.
Low latency: Optimize for fast local inference and smooth user interaction.
Extendability: Provide an architecture that can be easily expanded with home-automation hooks, custom commands, or additional sensors.
Automation: Provide a way to automate the whole thing "just run an ansible script or terraforming" and have everything in place
Resources
Hardware - M5Stack Atom Echo (microphone + speaker module)
Local machine/server for running OLLama ( Linux)
A machine where Home assistant is run
Software / Models - OLLama (model runner for local LLM inference)
LLaMA 3.2 (base conversational model)
LMM (local multimodal model for future image/audio extensions)
Local Speech-to-Text engine (e.g., Whisper via OLLama or standalone)
Local Text-to-Speech engine (e.g., Coqui TTS, Piper, or on-device TTS)
A workable Home-assistant instance
Ansible or Terraform
Development Tools - Python or Node.js for writing the assistant logic
M5Stack Arduino or UIFlow SDK for programming the Atom Echo
MQTT or HTTP for communication between Atom Echo and server
Git/GitHub for project versioning
Ansible or Terraform
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This project is part of:
Hack Week 25
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