Rithvik1709/Local-voice-assistant

A voice assistant designed for low-resource languages, It uses AI to offer offline functionality for tasks like setting reminders, translating phrases, or searching local information. # 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** ```bash git clone github.com cd local-ai-assistant ``` **2- Install required dependencies:** ```bash pip install -r requirements.txt ``` **3- Set up a virtual environment**: ```bash 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: ```bash 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 ```bash python main.py --language en --device cpu ``` # Directory structure ```bash 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 …