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Smart home IoT control platform on cloud

Why Choose This Project?

Smart homes are the future of modern living. This project allows students to build an IoT-based platform where users can remotely monitor and control their home appliances (lights, fans, AC, security cameras, door locks, etc.) via a cloud-based dashboard.

It provides hands-on experience with IoT devices, MQTT protocols, cloud integration, real-time data streaming, and mobile/web applications.

What You Get

  • A centralized cloud IoT platform for controlling home devices

  • Real-time device monitoring and remote control

  • Secure data storage of sensor readings and device states

  • Automation rules (e.g., turn on AC if temperature > 28°C)

  • Mobile/Web app for controlling devices from anywhere

  • Voice assistant integration (Alexa/Google Assistant)

Key Features

Feature Description
Device Control Remotely switch on/off lights, fans, AC, door locks
Sensor Monitoring Real-time updates from temperature, humidity, motion, gas, or light sensors
Automation Rules Define conditions (IFTTT-like rules) for smart automation
Mobile/Web Dashboard Control and monitor devices with a responsive interface
Voice Assistant Integration with Alexa/Google Assistant for voice commands
Notifications/Alerts Push notifications for motion detection, gas leakage, or door unlocks
Role-based Access Different access for admin (homeowner) and family members
Data Security TLS encryption, token-based access, secure device authentication
Analytics Dashboard Energy usage patterns, device performance, automation logs

Technology Stack

Layer Technologies
Devices Arduino, ESP32, Raspberry Pi, Zigbee, Z-Wave
Communication MQTT, CoAP, HTTP/REST APIs
Frontend React.js / Angular, Bootstrap / Tailwind
Backend Node.js (Express) / Java Spring Boot / Python Flask
Database MongoDB / Firebase Realtime DB / PostgreSQL
Cloud IoT AWS IoT Core / Azure IoT Hub / Google Cloud IoT Core
Storage AWS DynamoDB, Firestore, or Cloud SQL
Authentication OAuth 2.0, JWT, Multi-factor authentication
Deployment Docker, Kubernetes on AWS/GCP/Azure

Cloud Services Used

Service Purpose
AWS IoT Core / Azure IoT Hub Device connectivity and messaging
MQTT Broker (AWS IoT, Mosquitto) Lightweight communication between devices and cloud
AWS Lambda / Cloud Functions Run automation rules and triggers
DynamoDB / Firestore Store device states, logs, and sensor data
S3 / Blob Storage Store user settings, firmware updates
SNS / Firebase Cloud Messaging Send alerts/notifications to users
CloudWatch / IoT Analytics Monitor device activity and generate insights

Working Flow

  1. Device Registration

    • IoT devices (ESP32, Raspberry Pi, etc.) register with the cloud IoT platform.

  2. Communication Setup

    • Devices send telemetry data (temperature, motion, power usage) via MQTT to the cloud.

  3. User Authentication

    • Users log in via web/mobile app (with JWT/OAuth 2.0 authentication).

  4. Remote Control

    • User actions (turn on/off light, adjust AC) are sent from the dashboard to the cloud, then to devices.

  5. Automation Rules

    • Cloud functions execute rules (e.g., turn on lights if motion detected at night).

  6. Alerts & Notifications

    • In case of unusual activity (gas leak, break-in), push/SMS/email alerts are sent.

  7. Data Analytics

    • Energy usage and device performance are visualized on dashboards.

This Course Fee:

₹ 2499 /-

Project includes:
  • Customization Icon Customization Fully
  • Security Icon Security High
  • Speed Icon Performance Fast
  • Updates Icon Future Updates Free
  • Users Icon Total Buyers 500+
  • Support Icon Support Lifetime
Secure Payment:
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