The future of air transport

This project aims to accelerate the process of identifying soil density values from the subgrade, subbase, and base course layers by integrating vibration, speed, and acceleration sensors connected to an Arduino Mega 2560 microcontroller. The data generated enables real-time monitoring and adjustment during the compaction process in accordance with SNI (Indonesian National Standard) 1738-2011.

Your doctor at your fingertips!

The ESP8266 NodeMCU 4-Channel Relay Module project enables easy remote control of up to four appliances in your home using Wi-Fi. By leveraging the ESP8266 NodeMCU and a simple web interface, users can control devices like lights and fans from anywhere. This cost-effective IoT solution provides seamless home automation, turning any home into a smart home with just a few clicks. Perfect for DIY enthusiasts looking to dive into the world of IoT and home automation!

Encrypted off-grid LoRa messaging terminal with GPS sync and dynamic key destruction. No network, no trace, full control.

This Portable Mini Weather Station, powered by ESP12F and a vibrant 1.5" TFT display, fetches accurate weather updates

CH591D pcb for IMK8K macro keyboard

"A smart IoT-based system that monitors and controls temperature and humidity in real-time, combining precision, automation, and remote accessibility in one compact device."

This system offers an automated attendance tracking solution by combining RFID technology with IoT capabilities—specifically, NodeMCU (ESP8266) for connectivity and Google Sheets for cloud-based record keeping. It enables real-time capture and tracking of attendance data

How to build a simple Meshtastic IoT sensor grid with the ThinkNode M1 & M2 devices.

This project demonstrates a simple light-sensitive switch: it turns lights OFF during the day and ON at night. Ideal for street lights, garden illumination, or home automation.

SkyLink AI is a next-generation IoT-based telemetry system for a custom SU-27 RC fighter jet, combining ESP32 and GPS with a cloud-connected AI model. It not only shows real-time flight data (speed, altitude, GPS, HDOP) via Flutter and Web UI but also predicts risk levels during flight using ML — making RC aviation safer, smarter, and more interactive.