Overview / Usage

IoT Data Analysis Project involves detecting and analyzing humidity and temperature in real time using an ESP32 microcontroller. The data collected is sent to a real-time database, which can be accessed and visualized through a web application.

Hardware Setup: Connect the humidity and temperature sensors to the ESP32. Ensure proper wiring and power supply.
Software Setup:

• Program the ESP32 using Arduino IDE or another compatible platform.

• Implement code to read sensor data and connect to the Wi-Fi network.

• Use libraries like FirebaseESP32 to send data to the real-time database.

• Data Collection:

• The ESP32 reads data from the sensors at regular intervals.

• Sensor data is sent to the real-time database with a timestamp.

• Data Storage:

• The real-time database stores the data entries as they are received.

• Each entry typically includes the timestamp, humidity value, and temperature value.

• Data Visualization:

• The web application fetches data from the real-time database.

• Uses frameworks like Chart.js or D3.js to visualize the data.

• Displays real-time updates as new data arrives.

• Provides historical data views, trends, and analysis.

• Alerts and Notifications:

• Can set thresholds for humidity and temperature.

• Implement alerts (e.g., email or SMS notifications) if the sensor data crosses the set thresholds.

This project integrates hardware and software to provide a comprehensive solution for real-time environmental monitoring and analysis, making it useful for various applications such as home automation, agriculture, and climate research.

Repository

https://esp32-firebase-demo-fcea2.firebaseapp.com/