Quake Ready App with IoT and 3-Axis Accelerometer (Python STEM Board)

Vishnu

I am an 11th grader from Dubai, and I love playing cricket and coding..

About The Project:

Quake-Ready is a smart application that uses an IoT device (Python STEM Board) with a 3-axis accelerometer to detect ground vibrations and sound sensors to find trapped individuals. It provides real-time alerts with visual and sound notifications. The app also shows resource data (hospitals, camps, population) to help with response planning and coordination

Components Needed

Python STEM Board (ESP-WROOM-32)
3-Axis Accelerometer (for detecting ground vibrations)
Sound Sensors (for detecting trapped individuals)
OLED Screen (for displaying alerts)
RGB LEDs (for visual notifications)
Buzzer (for sound notifications)
Wi-Fi Module (for internet connectivity)
MQTTX (for real-time data communication)
USB Cable (for connecting the board to the computer)

Implementation diagram: IoT accelerometer and sound sensors send MQTT data to a central system with real-time visualization.

Bash

STEM Python Board 
Initialize mPython, Wi-Fi, MQTT, sensors
Display message on OLED
While True:
    Read and publish sound and accelerometer data
    If sound > threshold:
        Display "ALERT: High sound" and trigger notifications
    If acceleration > threshold:
        Display "ALERT: Earthquake" and trigger notifications
    Plot sound and acceleration data with color-coded severity
    Wait for a few  seconds
End loop

APPLICATION LOGIC

Initialize MQTT client and connect to broker
Subscribe to sound and accelerometer topics
Define thresholds for sound and acceleration
Set up data storage (sound_data, acceleration_data)
Define on_connect callback to subscribe to topics
Define on_message callback to process incoming data and store in respective queues
Define function to plot sound data:
    Plot sound as bar chart with color based on severity (green, yellow, red)
Define function to plot accelerometer data:
    Plot acceleration as bar chart with color based on severity (yellow, orange, red)
Run a loop (e.g., 10 times):
    Plot sound and accelerometer data
    Pause for 5 seconds before repeating

STEM Python Board 
Initialize mPython, Wi-Fi, MQTT, sensors
Display message on OLED
While True:
    Read and publish sound and accelerometer data
    If sound > threshold:
        Display "ALERT: High sound" and trigger notifications
    If acceleration > threshold:
        Display "ALERT: Earthquake" and trigger notifications
    Plot sound and acceleration data with color-coded severity
    Wait for a few  seconds
End loop

APPLICATION LOGIC

Initialize MQTT client and connect to broker
Subscribe to sound and accelerometer topics
Define thresholds for sound and acceleration
Set up data storage (sound_data, acceleration_data)
Define on_connect callback to subscribe to topics
Define on_message callback to process incoming data and store in respective queues
Define function to plot sound data:
    Plot sound as bar chart with color based on severity (green, yellow, red)
Define function to plot accelerometer data:
    Plot acceleration as bar chart with color based on severity (yellow, orange, red)
Run a loop (e.g., 10 times):
    Plot sound and accelerometer data
    Pause for 5 seconds before repeating