IBM

Work done as part of IBM internship

Voice-Controlled IoT Automation with Alexa and Raspberry Pi 4

Project Overview

This project demonstrates how to control LEDs using voice commands with an Alexa device and a Raspberry Pi 4. The setup leverages AWS services, including AWS Lambda and AWS IoT Core, to bridge the communication between the Alexa device and the Raspberry Pi.

Requirements

• Alexa Device: Provides voice control functionality.
• Alexa Developer Console: Used to create and manage Alexa skills.
• AWS Lambda: Executes backend code in response to events.
• AWS IoT Core: Connects and manages IoT devices.
• Raspberry Pi 4: Serves as the central processing unit.
• Breadboard, Wires, LEDs, Resistors: For building the hardware interface.

Setup Instructions

For detailed setup instructions, please refer to the comprehensive article.

Summary of Key Steps

1. AWS Lambda Setup:

   • Create a Lambda function, add the Alexa Skills Kit trigger, and deploy the provided code.

2. Alexa Skill Configuration:

   • Create or update an Alexa skill, define intents and utterances, and link it to the Lambda function.

3. Raspberry Pi Setup:

   • Install the operating system, connect hardware, and run the provided script on the Raspberry Pi.

4. Testing:

   • Ensure all components are updated and synced, enable the skill in the Alexa app, and test with voice commands.

Repository Contents

• Lambda_Code: Directory containing the final Lambda function code.
• RaspberryPi4_Code.py: Final code to be run on the Raspberry Pi 4.
• intent.JSON: JSON configuration for Alexa skill intents.
• README.md: This file.

Workflow Diagram + Architecture

This diagram illustrates the interaction between the user, Alexa device, Alexa Developer Console, AWS Lambda, AWS IoT Core, and Raspberry Pi 4 to control LEDs via voice commands.