Build an IoT Data Storage and Visualization System in the Cloud
Design a full-stack solution that captures real-time sensor data from IoT devices, stores it in the cloud, and displays dynamic analytics through an interactive dashboard.Storing and visualizing sensor data in the cloud enables scalable, secure, and globally accessible IoT solutions. It simplifies data analysis and allows for real-time alerts, historical logs, and remote access from any device.
The goal is to stream data from sensors (e.g., temperature, humidity, air quality) to a cloud database using MQTT or REST. Build a dashboard that plots real-time data, supports filtering by time range, and triggers alerts on critical values.
Real-Time Sensor Data Capture
Use ESP32/Arduino devices to collect data from sensors and transmit to the cloud over Wi-Fi.
Live Dashboard with Charts
Display current and historical values using charts that update automatically with each new reading.
Data Filtering & Export
Allow users to filter readings by date/time and download logs as CSV or Excel for analysis.
Threshold Alerts
Set up notifications when sensor values exceed normal ranges using Firebase Functions or AWS Lambda.
IoT devices send data to Firebase Realtime Database or AWS IoT Core. The cloud backend stores and processes this data while the frontend fetches updates via listeners or polling to render live charts, thresholds, and summary stats.
- IoT Devices: ESP32/ESP8266 + DHT11/soil/gas sensors
- Cloud DB: Firebase Realtime DB / Firestore / AWS DynamoDB
- Dashboard: React.js + Chart.js or Recharts
- Alerts: Firebase Functions or AWS Lambda + Email/SMS via Twilio/SES
- Deployment: Firebase Hosting / AWS Amplify / Vercel
IoT Hardware
ESP32/NodeMCU + sensors (DHT11, MQ2, BMP180) with Arduino IDE for programming
Cloud & Backend
Firebase Realtime Database or AWS IoT Core + Lambda for data handling and rules
Frontend Dashboard
React.js with Chart.js/Recharts for live charting and filtering interface
Alert & Export
Firebase Functions or AWS Lambda + Twilio/SendGrid + file download logic in JS
1. Connect IoT Sensors to Wi-Fi Module
Use ESP32 to collect sensor data and send it via HTTP/MQTT to Firebase or AWS endpoint.
2. Store and Structure Incoming Data
Store timestamped data in cloud database with sensor IDs and values indexed properly.
3. Build Dashboard to Display Charts
Fetch and render sensor values using chart libraries with auto-refresh or live streaming.
4. Enable Alerts and Data Filtering
Implement rule-based triggers to send notifications and provide UI filters for time range.
5. Deploy, Monitor, and Expand
Deploy your project to Firebase Hosting or AWS Amplify and monitor sensor uptime and errors.
Monitor the World with Cloud-Powered IoT Dashboards
Build powerful dashboards for smart environments and real-time analytics using cloud storage and sensor technology.
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