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Smart Home Automation System

Smart Home Automation System

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Raspberry PiPythonNode.jsMQTTReactESP32IoT

Smart Home Automation System

Project Overview

This project implements a comprehensive smart home automation system that integrates various IoT devices and sensors to create an intelligent living environment. The system focuses on energy efficiency, comfort, and seamless user interaction through both mobile apps and voice commands.

System Dashboard

System Dashboard

Main dashboard showing real-time status of all connected devices and sensors.

Core Features

The system includes several key features:

  • Voice-controlled device management
  • Automated climate control
  • Smart lighting system
  • Energy consumption monitoring
  • Security system integration
  • Mobile app control

Mobile Interface

Mobile Interface

Mobile app interface showing device controls and automation settings.

Technical Implementation

Hardware Components

The system utilizes various hardware components:

  • Raspberry Pi 4 as central hub
  • ESP32 microcontrollers for device control
  • Temperature and humidity sensors
  • Motion detectors
  • Smart power meters
  • LED light controllers
  • Smart plugs and switches

Hardware Setup

Hardware Setup

Overview of the hardware components and their connections.

Software Architecture

The software stack includes:

  • Node.js backend server
  • React-based web interface
  • MQTT for device communication
  • Python scripts for sensor data processing
  • Voice recognition system
  • Mobile app (React Native)

Software Structure

Software Structure

Diagram showing the software architecture and communication flow.

Automation Features

The system provides sophisticated automation capabilities:

  • Schedule-based device control
  • Presence-based lighting
  • Climate optimization
  • Energy usage patterns
  • Security monitoring

Automation Interface

Automation Interface

Interface for setting up automation rules and schedules.

Energy Management

Advanced energy management features include:

  • Real-time power monitoring
  • Usage statistics and trends
  • Cost optimization suggestions
  • Peak load management
  • Solar integration support

Energy Dashboard

Energy Dashboard

Energy monitoring dashboard showing usage patterns and statistics.

Future Developments

Planned enhancements include:

  • AI-powered predictive automation
  • Extended device compatibility
  • Enhanced security features
  • Weather-based optimization
  • Multi-user profiles and preferences

Project Gallery

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