
Build a smart ai voice assistant on Raspberry Pi using ChatGPT to control smart home devices via Tuya smart plug, automate tasks, and set up a Telegram bot.
Identify essential components for building an AI voice assistant with a Raspberry Pi, including the Raspberry Pi 5, micro SD card, power supply, WiFi and Bluetooth, and a compatible speaker.
Discover Raspberry Pi, a compact, affordable computer with GPIO pins and the ability to run Raspberry Pi OS, ideal for learning, hardware projects, and building an AI voice assistant.
Install the raspberry pi os on a micro sd card with raspberry pi imager, selecting device raspberry pi 5 and 64-bit os with desktop, enable ssh, then eject the card.
Connect to a Raspberry Pi with a monitor or ssh and locate its ip. Enable vnc for remote graphical access from your workstation.
Connect Bluetooth or USB audio devices to a Raspberry Pi, pair a speaker, set default playback and recording, and test with voice input and sample sounds.
Connect to your raspberry pi and set up the virtual environment for the ai voice assistant. Update packages and install gtts, speech recognition, pygame, python-dotenv, and pyaudio with portaudio dev.
Explore what an api is and how it enables apps to talk to each other through requests and responses, using the ChatGPT api to power ai features on Raspberry Pi.
Create and securely save your OpenAI API key on platform.openai.com after logging in and creating an organization to enable your Raspberry Pi AI voice assistant to communicate with ChatGPT.
Make your first API request to ChatGPT using curl on Raspberry Pi, test the OpenAI API, and prepare for Python script integration.
Learn how Tuya enables local control via a 16-character local key, and prepare to automate a smart plug with Raspberry Pi using Tiny Tuya.
Sign up at auth.tuya.com, create a smart home cloud project closest to your location, and authorize IoT core plus authorization token management to connect and manage your devices.
Set up the Tuya Smart app, add a smart plug to your Tuya account, link your app to a Tuya developer project via QR code, and prepare Raspberry Pi control.
Install TinyTuya on your Raspberry Pi, identify the Tuya smart plug on the local network, and save device ID, API key, region, and local key for control and devices.json.
Explore retrieving smart plug details with Tuya API Explorer, obtaining device ID, firmware version, model, and status, and test Tuya cloud API calls before integrating devices into automation projects.
Control a Tuya smart plug with Raspberry Pi using tinytuya in Python. Build a virtual environment, install tinytuya with pip, connect, check status, and turn the plug on and off.
Set up a Raspberry Pi voice assistant by creating a Python script, loading environment variables, and using speech recognition and text-to-speech to activate on 'Hello Raspberry'.
Enhance raspberry pi development with VS Code remote ssh: install the Remote SSH extension, connect to host username@IP_address, edit python scripts, and run commands directly in the editor.
Extend your AI voice assistant to control a wifi smart plug with voice commands, using tinytuya and dotenv to configure device id, IP, and local key.
Expand your Raspberry Pi voice assistant by integrating ChatGPT for advanced conversations, processing voice commands, and delivering spoken responses while controlling a Tuya smart plug via a send_to_gpt flow.
Suppress linux audio warnings from ALSA and Jack by importing the sounddevice library as a temporary development workaround, not recommended, to achieve a clean output.
Put all components together to test a voice-activated Raspberry Pi assistant that controls a smart plug with TinyTuya, queries ChatGPT via OpenAI, and uses text-to-speech.
Learn to use systemd to automate startup of services on Linux, manage service dependencies, and log with journalctl. Apply these capabilities to ensure the Raspberry Pi voice assistant boots automatically.
Configure your Raspberry Pi to auto-run your voice assistant script at startup by creating a systemd service, enabling it, and rebooting to verify it starts automatically.
Expand your ai voice assistant by integrating smart devices via api or sdk, add natural language processing and condition-based commands, optimize Raspberry Pi placement, and share your project on GitHub.
celebrate completing the course as you built a functional ai voice assistant on Raspberry Pi powered by ChatGPT, and plan enhancements like Telegram bot integration and expanding smart home capabilities.
Integrate your Raspberry Pi powered AI voice assistant with Telegram to control it via text commands, enabling discreet, worldwide access and automation of IoT, weather, alerts, and tasks.
Create a Telegram bot as the interface for your AI assistant using Botfather, set a memorable name and username ending with bot, and secure the API token for integration.
Integrate a Raspberry Pi powered AI assistant with a Telegram bot. Install the PyTelegramBotAPI library and configure start, help, socket_on, and socket_off commands, routing other messages to ChatGPT.
Integrate and test a Telegram bot with your ai assistant, access via Telegram, send commands like status and socket_off to control devices, and explore expanding automation.
Unlock the Power of Raspberry Pi 5: Build Your Own AI Voice Assistant
Unlock the full potential of Raspberry Pi 5 and dive into the future of AI and smart home automation! In this hands-on course, you’ll learn how to create a fully functional voice assistant powered by ChatGPT, one of the most advanced AI technologies today.
What You’ll Learn
Set up your Raspberry Pi from scratch – Get familiar with the Raspberry Pi setup process and the necessary software tools.
Integrate smart devices – Learn how to control devices like plugs and switches using your voice assistant.
Use speakers for communication – Enable your assistant to communicate with you through speakers.
Explore IoT and smart home automation – Understand essential IoT components and how to use platforms like Tuya for automation.
APIs for Your Projects
I’ll introduce you to the world of APIs:
OpenAI API – Learn how to use the OpenAI API for ChatGPT integration.
Tuya API – Control smart devices remotely through the Tuya API.
Learn how you can leverage these APIs to enhance your own projects.
Telegram Bot Integration
As an extra perk, I’ll show you how to integrate your assistant with Telegram by creating a Telegram bot. With this feature, you’ll be able to control your smart home remotely from your phone, expanding your assistant’s functionality and enabling you to manage your devices from anywhere.
Develop Essential Skills
Throughout the course, you’ll:
Apply your basic Python skills in a real-world project.
Gain experience in hardware integration.
Master automation techniques.
Whether you're a beginner, maker, or tech enthusiast, this course is designed to equip you with everything you need to create and customize your own AI-powered assistant.
A Living Project
This course is a living project! I continuously update lessons based on your feedback and the latest advancements in technology to keep the content cutting-edge. Have a feature request? Drop it in the Q&A – your ideas directly shape future updates!
What You'll Achieve
By the end of the course, you’ll have:
Built your own voice-controlled AI assistant that interacts with your smart home.
Gained the skills to create advanced automation projects with Raspberry Pi.
No prior experience is needed – you’ll be ready to explore and innovate in the world of AI-driven automation with Raspberry Pi!
Updates (Oct 2025): New article in Section 4 – "Tuya IoT Core Trial for Home Projects: Staying Free (and Sane) Long–Term" - renewal steps, quota behavior, and fully local control (LocalTuya/TinyTuya).