Build an IoT Data Storage and Visualization System in the Cloud

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.

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

• Firebase Realtime Database Basics
• AWS IoT Core Overview
• ESP32 Firebase Integration
• React Chart.js Docs