README.md

Local AI Assistant

Local AI Assistant is a privacy-focused, offline AI assistant designed to handle speech recognition, natural language understanding, and text-to-speech tasks. The assistant operates entirely on local hardware, ensuring user data stays secure and private.

Features

Speech-to-Text (STT): Converts spoken words into text using offline models. Natural Language Processing (NLP): Processes user commands and determines intent. Text-to-Speech (TTS): Provides voice responses in the desired language. Multilingual Support: Includes local language integration for broader accessibility. Privacy-First: All computations are performed locally, with no data sent to the cloud. Installation Prerequisites Python 3.9 or higher Git Compatible hardware (recommended: GPU for faster processing)

Installation

Prerequisites

Python 3.9 or higher Git Compatible hardware (recommended: GPU for faster processing)

Steps

1- Clone this Repo

git clone https://github.com/Rithvikbng/Local-voice-assistant.git
cd local-ai-assistant

2- Install required dependencies:

pip install -r requirements.txt

3- Set up a virtual environment:

python -m venv venv
source venv/bin/activate  # For Linux/macOS
venv\Scripts\activate     # For Windows

Usage

Run the main script to start the assistant:

python main.py

Command-Line Options

--language [lang_code]: Specify the language (default: en for English). --device [cpu|gpu|mps]: Choose the device for computation.

Example

python main.py --language en --device cpu

Directory structure

local-ai-assistant/
├── stt/                 # Speech-to-Text modules
├── nlu/                 # Natural Language Understanding logic
├── tts/                 # Text-to-Speech modules
├── data/                # Example datasets or model files
├── main.py              # Entry point for the application
├── requirements.txt     # Python dependencies
└── README.md            # Project documentation