Project Overview:

The AI-Based Home Automation System with Voice Recognition is a smart IoT-enabled solution that allows users to control home appliances (like lights, fans, AC, etc.) through a web interface and voice commands. The system also includes an AI/ML module that learns user behavior over time to automatically suggest or schedule actions, improving convenience and energy efficiency.

This project aims to bring comfort, energy saving, and hands-free control into daily home life—especially useful for the elderly or physically challenged.

Technologies Used:

Hardware:

• Microcontroller: NodeMCU (ESP8266) or Raspberry Pi

• Relays: 5V relay modules to switch appliances

• Voice Input Devices: Microphone, or browser microphone input

• Wi-Fi Module: Built-in with ESP8266 or Pi

Frontend:

• HTML, CSS, Bootstrap

• JavaScript (SpeechRecognition API for voice control)

• Charts and control panel using Chart.js or jQuery UI switches

Backend:

• Option 1: PHP + MySQL

• Option 2: Node.js + MongoDB

• Option 3: Java Spring Boot + PostgreSQL

AI/ML:

• Python (scikit-learn / TensorFlow)

• Models:

  • Smart usage prediction based on time & usage pattern

  • Voice intent classification (if using offline voice model)

System Architecture:

1. User interface allows manual and voice-based control of home devices.

2. Voice commands like “Turn on the bedroom light” are captured via browser mic (Web Speech API) or mobile app.

3. The command is interpreted and sent to the backend, which communicates with the microcontroller via Wi-Fi.

4. Microcontroller switches the relay ON/OFF to control connected appliance.

5. Sensor data (e.g., temperature, light level) can also be captured and displayed on the dashboard.

6. AI/ML module:

   • Tracks usage patterns

   • Predicts which devices should be turned on/off at certain times

   • Sends recommendations or automates routine actions

7. A web dashboard shows:

   • Current device status

   • Voice command history

   • Predictions and suggestions