The ESP32 Cloud Temperature Node is an Embedded Systems project that combines Sleep management and Sensor interface, built with Raspberry Pi. The project follows a clean, modular firmware pipeline where input handling, processing, and output control stay separated, making it easy to test, extend, and present. It showcases practical embedded techniques while producing a working, demo-ready device.
Manual control and monitoring for this task is slow, bulky, and cannot respond in real time. Without an embedded approach built on Sensor interface and Raspberry Pi, users cannot build compact, low-power, responsive systems that interact directly with hardware.
This project applies Embedded Systems techniques through Sleep management, orchestrated with Raspberry Pi and Sensor interface. The firmware is designed for reliability and real-time performance, with clear input, processing, and output layers. It produces consistent, reusable results and can be adapted to related embedded tasks with minimal changes.
Raspberry Pi
Battery
Embedded C / C++
Timers and interrupts
Peripheral drivers
Hardware debugging tools
ESP32 / NodeMCU
Sensors
MQTT
Modular firmware around Sleep management and Sensor interface
Configurable parameters and thresholds
Clear logging, status, and error handling
Clean interface for user interaction
Reusable components for related embedded tasks
Real-time and low-power design
The project is layered: the input layer reads sensors and controls through Sleep management; the processing layer runs logic with Raspberry Pi and Sensor interface; and the output layer drives displays and actuators via Data publishing. Shared timing, logging, and driver modules support all layers, keeping the firmware robust and easy to extend.
Select the microcontroller, components, and design the circuit.
Set up the toolchain, project structure, and peripheral initialization.
Build the input layer with Sleep management.
Implement the core logic using Raspberry Pi and Sensor interface.
Add the output layer via Data publishing and test end-to-end flows.
Debug with hardware tools, tune timing, and refine the firmware.
Package the project, document it, and prepare the demo and viva report.
Build production-style Embedded Systems devices
Apply Wi-Fi and MQTT and Power efficient sensing
Program microcontrollers in real time
Interface hardware peripherals and sensors
Present and defend a complete Embedded Systems project in viva
Add wireless connectivity for remote control
Add cloud data logging
Add more sensors and features
Optimize for lower power consumption
The ESP32 Cloud Temperature Node delivers a complete Embedded Systems workflow — from hardware interface and firmware processing to output control and presentation. It is practical, modern, and easy to explain, making it an excellent final year project that demonstrates in-demand embedded skills.
