Jarvis is a voice-activated, conversational AI assistant powered by a local LLM (Qwen via Ollama). It listens for a wake word, processes spoken commands using a local language model with LangChain, and responds out loud via TTS. It supports tool-calling for dynamic functions like checking the current time.

• 🗣 Voice-activated with wake word "Jarvis"
• 🧠 Local language model (Qwen 3 via Ollama)
• 🔧 Tool-calling with LangChain
• 🔊 Text-to-speech responses via pyttsx3
• 🌍 Example tool: Get the current time in a given city
• 🔐 Optional support for OpenAI API integration

1. Startup & local LLM Setup

   • Initializes a local Ollama model (qwen3:1.7b) via ChatOllama
   • Registers tools (get_time) using LangChain

2. Wake Word Listening

   • Listens via microphone (e.g., device_index=0)
   • If it hears the word "Jarvis", it enters "conversation mode"

3. Voice Command Handling

   • Records the user’s spoken command
   • Passes the command to the LLM, which may invoke tools
   • Responds using pyttsx3 text-to-speech (with optional custom voice)

4. Timeout

   • If the user is inactive for more than 30 seconds in conversation mode, it resets to wait for the wake word again.

1. Install Dependencies
   Make sure you have installed all required dependencies listed in requirements.txt:

   pip install -r requirements.txt

2. Set Up the Local Model
   Ensure you have the qwen3:1.7b model available in Ollama.

3. Run Jarvis
   Start the assistant by running:

   python main.py