You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
A smart, low-power irrigation system that predicts rain using a neural network and automates watering based on sensor data. Built with STM32, C, Python, TensorFlow Lite, Developed as an academic prototype for embedded AI and IoT applications.
“I am involved in EDGE IoT and Robotics at Jahangirnagar University (JU), gaining hands-on experience in designing IoT solutions and robotic systems, integrating sensors, data processing, and automation. This project is enhancing my technical skills and providing valuable insights into real-world applications of IoT and robotics.”
A set of Python scripts embedded on Raspberry Pi Zero, 2 or 3. It calculates the NDVI (Normal Difference Vegetation Index) of a plant from a picture taken by the picamera and to send the index by http (ThinkSpeak) and SFTP
An Fire Detection System for detecting Flame, Gas level ,Temperature & Humidity Using Thinkspeak as a service to store the Data collected & then displaying it on the Nextjs & Flutter dashboard
thingspeaks-data-engine is a sophisticated tool designed to fetch data from ThingSpeak, normalize it, and store it into a relational database. It provides a flexible API for configuring the engine and ingesting data seamlessly. This project is ideal for IoT applications where data needs to be efficiently collected and processed.
Raspberry Pi is the name of a series of single-board computers made by the Raspberry Pi Foundation, a UK charity that aims to educate people in computing and create easier access to computing education. The Raspberry Pi launched in 2012, and there have been several iterations and variations released since then. The original Pi had a single-core …
An IoT-based project which facilitates home automation features incorporating ThingSpeak and Node.js which embodies a user-friendly interface using React.js.