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!

A Raspberry Pi Zero gadget that turns your GitHub commit history into a glowing desk display as well as a self-hosted software hub.

CH591D pcb for IMK8K macro keyboard

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

"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."

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.

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

This project aims to develop a real-time monitoring system for important water quality parameters such as temperature, turbidity (TDS & turbidity), and pH. The device utilizes sensors such as DS18B20, SEN0244, SEN0189, and pH 4052c, integrated with a WiFi-based Robotdyn Arduino Uno microcontroller, and displays data in real-time via the IoT platform Thinger.io. This system not only displays data on an LCD screen, but can also be accessed from anywhere via a cloud dashboard, and data can be downloaded at any time. Testing was conducted over 7 days and the results showed a fairly good level of accuracy and precision, as well as compliance with the BBPBAT Buleleng koi pond water quality standards. Perfect for those interested in IoT, aquaculture, agricultural automation, or electrical engineering thesis projects! ???? Jangan lupa like, follow, dan comment..