Why Choose This Project?

As IoT devices become more common, capturing real-time sensor data and sending it to the cloud for analytics is a crucial use case. This project demonstrates how to collect, store, visualize, and analyze IoT sensor data in real-time using a cloud backend and dashboard.

It’s practical for industries like agriculture, smart homes, environment monitoring, and manufacturing.

What You Get

• Real-Time Data Collection from IoT Sensors

• Cloud-Based Logging of Sensor Data (Temperature, Humidity, etc.)

• Interactive Web Dashboard to View Logs and Graphs

• Time-Series Charts with Filters (by time/date/type)

• Alert System for Abnormal Readings

• Mobile-Responsive Admin Dashboard

• REST API for IoT device to send data

Key Features

Technology Stack

Cloud Services Used

Working Flow

1. Sensor Reads Data (e.g., every 15 seconds via ESP32/NodeMCU)

2. Sends Data to Cloud via HTTP POST request to your backend server

3. Backend Stores Data into Firebase / MongoDB with timestamp and device ID

4. Dashboard Fetches Logs from backend and displays on graphs

5. Optional Alerts sent when critical thresholds (e.g., temp > 40°C) are met

6. User Can Filter, Export, or Analyze readings from the dashboard

Main Modules

Security Features

• Device API secured via an API Key or token

• Admin dashboard protected with JWT login

• CORS restrictions for API access

• Validate incoming data for type and format

Visualization Options

• Use Chart.js or ApexCharts for graphs like:

  • Temperature vs Time

  • Humidity vs Time

  • Line graphs, bar charts, or area graphs