- CLOUD COMPUTING & DEVOPS
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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
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A centralized cloud IoT platform for controlling home devices
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Real-time device monitoring and remote control
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Secure data storage of sensor readings and device states
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Automation rules (e.g., turn on AC if temperature > 28°C)
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Mobile/Web app for controlling devices from anywhere
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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
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Device Registration
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IoT devices (ESP32, Raspberry Pi, etc.) register with the cloud IoT platform.
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Communication Setup
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Devices send telemetry data (temperature, motion, power usage) via MQTT to the cloud.
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User Authentication
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Users log in via web/mobile app (with JWT/OAuth 2.0 authentication).
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Remote Control
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User actions (turn on/off light, adjust AC) are sent from the dashboard to the cloud, then to devices.
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Automation Rules
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Cloud functions execute rules (e.g., turn on lights if motion detected at night).
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Alerts & Notifications
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In case of unusual activity (gas leak, break-in), push/SMS/email alerts are sent.
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Data Analytics
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Energy usage and device performance are visualized on dashboards.
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