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AI Voice Assistant
Arduino
ArduinoBeginnerIntermediateAIVoiceAssistant

AI Voice Assistant

Build your own privacy-focused smart speaker with a Raspberry Pi.

₹3415.00

Inclusive of all taxes

Development fee₹1769.00
Components (from library)₹1646.00
Total per unit (incl. GST)₹3415.00
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Total: ₹3415.00

₹3415.00

Inclusive of all taxes

Components

2 items

Difficulty

Intermediate

Project Details

Stop relying on big tech cloud servers. Build your own **Privacy-Focused AI Voice Assistant** completely from scratch! This intermediate-level project turns a **Raspberry Pi** into a smart speaker that listens, understands, and responds to your commands. Unlike commercial assistants that send your voice to the internet, this project can run completely **offline** (using Vosk/PocketSphinx) or use privacy-friendly APIs. You have full control over the 'Wake Word' (e.g., rename it from 'Alexa' to 'Jarvis' or 'Computer'). ### What you will build: A Python-based application that runs as a background service on your Pi. It listens for a specific trigger phrase, records your command, processes the intent, and executes actions like telling the time, playing music, or controlling GPIO pins.

How It Works

The software pipeline consists of four main stages: 1. **Wake Word Detection:** The system listens to the microphone stream for a specific keyword (e.g., "Hey Pi"). This is done using a lightweight engine like **Porcupine** or **Snowboy** that uses minimal CPU. 2. **Speech-to-Text (STT):** Once triggered, it records the audio and converts it into text. We use **Vosk** (offline) or **Google Speech Recognition API**. 3. **Intent Parsing:** The text is analyzed to find keywords. Example: "Turn on the light" -> Intent: `LIGHT_ON`. 4. **Text-to-Speech (TTS):** The Pi generates a spoken response using **eSpeak** or **PicoTTS** and plays it through the speakers, confirming the action.

What You'll Learn

Audio Processing

Learn about sampling rates, channels, and ALSA configuration in Linux.

NLP Basics

Understand how computers convert sound waves to text and extracting meaning.

Python Multithreading

Run the listening loop without blocking other operations.

API Integration

Connect your assistant to weather APIs, Wikipedia, or your own smart home.

Key Features

✓
Custom Wake Word

Name your assistant whatever you want.

✓
Offline Capability

Works even without an internet connection (using offline models).

✓
GPIO Control

Tell your assistant to 'Turn on the fan' and watch it physically happen.

#AI#Voice#Assistant#Offline

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