WATER LEVEL (INTERNAL TEMPERATURE AND MOTION SENSOR)

Our project is an Internet of Things (IoT) system designed to monitor water level, internal temperature and motion using multiple sensors connected to a Raspberry Pi Pico. The hardware setup includes a breadboard, wires, LCD display, motion sensor and distance sensor. All sensor data is transmitted to Things peak, where we created a custom dashboard to visualize the readings in real time through graphs. To evaluate performance, we allowed the system to run continuously for seven days, collecting data that demonstrates how the sensors interact and provide useful monitoring information. The water level monitoring feature is supported by three LEDs and a buzzer for clear alerts. The green LED lights up when the water level is below 40%, the yellow LED indicates levels between 40% and 80%, and the red LED warms when the level reaches 80% or higher. At this critical stage, the buzzer is activated to signal potential overflow. Alongside this, the temperature sensor records internal heat conditions and the motion sensor detects activity in the surrounding area. Together, these components form a complete IoT system that combines sensing, data logging and visualisation, showing how technology can be applied to improve safety and environmental monitoring.