LARA - Arduino Domotic Assistant

This project is a Smart Domotic Assistant that uses Arduino and a Bluetooth module to control a domotic house. As part of this project, the house was entirely 3D printed, and the Arduino connections were hand-wired. The application provides speech-based control of various home appliances using an Android application.

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Features

• Speech Control: The assistant responds to spoken commands to control home appliances.
• Bluetooth Communication: Connects to an Arduino via Bluetooth for seamless operation.
• Customizable Responses: Predefined commands trigger specific actions and verbal acknowledgments.
• 3D Printed Model: A miniature representation of a smart home for demonstration purposes.
• Real-Time Feedback: Provides real-time responses, including gas detection and temperature updates.

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Demonstration Images

3D Printed Smart House

Android Application Interface

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Project Structure

Android Application

• Speech-to-Text: Converts user speech into text to interpret commands.
• Text-to-Speech: Provides voice feedback based on system actions.
• Bluetooth Communication:
  • Establishes a connection with the Arduino using the Bluetooth MAC address.
  • Sends commands to control appliances.
  • Receives data (e.g., temperature or gas levels).

Arduino Setup

• Bluetooth Module: HC-05/HC-06 or compatible module for wireless communication.
• Hand-Wired Connections: Manual wiring to interface the Arduino with LEDs, fans, or other appliances.
• Command Handling: Receives predefined commands (e.g., salottoOn) and triggers the respective relays or modules.

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Commands Overview

Lights

• Kitchen:
  • Accendi la luce in cucina → Turns on the kitchen light.
  • Spegni la luce in cucina → Turns off the kitchen light.
• Living Room:
  • Accendi la luce in salotto → Turns on the living room light.
  • Spegni la luce in salotto → Turns off the living room light.

Heating and Cooling

• Heater:
  • Accendi la stufa or Fa freddo → Turns on the heater.
  • Spegni la stufa or Fa caldo → Turns off the heater.
• Fan:
  • Accendi il ventilatore → Turns on the fan.
  • Spegni il ventilatore → Turns off the fan.

Sensors

• Temperature: Quanti gradi ci sono → Reads and announces the current temperature.
• Gas Detection: Provides warnings if hazardous gas levels are detected.

Greetings

• Ciao → Responds with "Ciao anche a te".
• Come ti chiami → Responds with "Mi chiamo Lara".

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Technical Highlights

1. Speech Recognition:

   • Utilizes the SpeechRecognizer API for free-form voice command recognition.
   • Listens for specific phrases mapped to corresponding actions.

2. Text-to-Speech:

   • Implements TextToSpeech to provide auditory feedback.
   • Configured for Italian language responses.

3. Bluetooth Communication:

   • Sets up a secure socket connection using the device's MAC address.
   • Employs separate threads for sending and receiving data to avoid blocking the UI thread.

4. Gas Detection:

   • Uses a periodic handler to monitor incoming gas levels via the Arduino and alerts the user.

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How to Use

1. Setup Arduino:

   • Connect the Bluetooth module to the Arduino.
   • Program the Arduino to handle commands such as cameraOn or stufaOff.

2. Prepare the Android App:

   • Clone or download the project repository.
   • Build and run the app on an Android device.
   • Ensure Bluetooth is enabled and paired with the Arduino module.

3. Control with Voice:

   • Open the app, press the microphone button, and issue commands.
   • Example: Say "Accendi la luce in salotto" to turn on the living room light.

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Requirements

Hardware

• Arduino (e.g., Uno, Mega)
• Bluetooth Module (e.g., HC-05)
• 3D printed house model with LEDs and relays
• Sensors for gas and temperature monitoring

Software

• Android device with Bluetooth capability
• Android Studio for building the app
• Arduino IDE for programming the microcontroller

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Future Improvements

• Expand Appliance Support: Add more commands for other devices like curtains, locks, or sprinklers.
• Language Options: Support additional languages beyond Italian.
• Wi-Fi Integration: Extend connectivity using Wi-Fi for broader control.
• Smartphone Feedback: Display real-time sensor data on the app interface.

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Contributors:
Project developed by Doominator96