Open-Source LiDAR Time Synchronization System by Mimicking GPS-clock

Acquire and process live and historical air quality data without efforts. Filter by station-id, sensor-id and sensor-type, apply reverse geocoding, store into time-series and RDBMS databases, publish to MQTT, output as JSON, or visualize in Grafana. Data sources: Sensor.Community (luftdaten.info), IRCELINE, and OpenAQ.

Indoor Air Quality Dataset with Activities of Daily Living in Low to Middle-income Communities

A CrateDB Driver for MicroPython.

Spatio-temporal modeling framework for large-scale migration forecasts based on weather radar networks

Application of the Extended Kalman Filter (EKF) in sensor networks, through its implementation in the problem of object tracking.

🍌 Generate high-quality image editing datasets effortlessly with NanoBanana Pro and FAL.ai API for various AI models.

Light weight wireless messaging protocol for low power sensor network, based on slotted aloha access method.

ESP32 crash blackbox and field diagnostics Arduino library with RTC/NOINIT logging, ESP-NOW heartbeat monitoring, neighbor watchdog, health scoring, boot storm detection, and metric alerts.

MicroPython based MQTT-Sensor on Raspberry Pi Pico W

An IoT-based Machine Maintenance Monitoring System for Smart Factories. Utilizes ESP32, vibration, and temperature sensors for real-time condition monitoring and anomaly detection.

An IoT-based smart parking system using NodeMCU ESP8266, IR sensors, MQTT, and servo automation for real-time parking occupancy monitoring and intelligent gate control.

Code for running a WildlifeSystems node on a Raspberry PI.

Embedded systems and FPGA projects using Raspberry Pi, sensors, MQTT, SystemVerilog, Vivado, and Basys3 hardware.

PPO-based PD-NOMA scheduling for Age of Information minimization in massive IoT networks — POMDP formulation with energy harvesting, SIC decoding, near/far user pairing, and a Drop-and-Add pool management algorithm.

IoT-enabled adaptive water filtration system using ESP8266, TDS sensing, Firebase, and Flutter.

Synthetic radiological plume modeling and sensor-network analysis pipeline with Gaussian plume transport, detector thresholds, source reconstruction, Monte Carlo uncertainty, and MATLAB/Python figures.

This project is based on the simulation performed with reference to a real-life, military base intrusion detection system.