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Python app that lets you simulate data flow over mqtt. It allows you to publish complex, random objects as well as simple value on given mqtt topic. Easy to setup and use from both GUI and CLI mode.
This project creates a car accident detection system using Arduino in the Proteus simulation environment. It combines an ultrasonic sensor for distance measurement, a GPS module for location tracking, and a GSM module for emergency messages. The aim is to improve road safety by swiftly alerting chosen contacts about accidents.
The Azure IoT Device Simulator (.NET 5)-DPS implements a broad part of the features included in the Azure IoT Device SDK (C#) (D2C/C2D and M2C/C2M). Furthermore, the simulator implements device provisioning based on Azure IoT Hub Device Provisioning Service.
My Sweet Home (MSH): A comprehensive Smart Home Management System simulation demonstrating advanced C++98 Design Patterns (Singleton, Factory, Observer, Chain of Responsibility, etc.) integrated with a modern Node.js web interface.
AI-powered predictive maintenance system using machine learning to detect potential failures based on operational data, with a real-time Streamlit dashboard.
3D Warehouse Digital Twin - Interactive inventory visualization with Three.js. Real-time stock simulation with color-coded products (Green/Yellow/Red), click tooltips, live IoT feed indicator, and camera controls.
An AI-powered real-time Predictive Maintenance Dashboard. Simulates industrial machine telemetry and dynamically predicts imminent physical failures using a Random Forest classification model.
Java-based Smart Home Management System using OOP, JavaFX, and multithreading. Implements device-level control (lights, thermostats, locks), room-based organization, and real-time GUI interaction with asynchronous command processing and continuous device monitoring.
AI-powered dashboard for forecasting vegetation and wind patterns using machine learning. Supports real-time sensor simulation and adaptive climate response insights.
A distributed smart farming system that monitors soil moisture across multiple zones and automates irrigation control via REST API. Built with Laravel 13, Python 3, MySQL, and Docker. Features real-time web dashboard, worker-based command execution, and API key security.
An IoT-driven waste management and spatial route optimization engine using the Greedy Nearest Neighbor algorithm to enhance smart campus sustainability logistics
Real-time IoT sensor simulation using Node.js & WebSockets. Features serverless data processing with AWS Lambda and persistent NoSQL storage via DynamoDB. Includes a live Chart.js dashboard for instant data visualization.
♻️A clean-coded backend platform for managing local circular economy logistics, powered by simulated IoT telemetry to predict fleet & machinery breakdown before it happens. Zero downtime, zero waste!
Comprehensive IoT X-Ray Data Management System built with NestJS, MongoDB, and RabbitMQ. Real-time data processing, message queuing, and RESTful API for X-Ray signal management.
SmartGarden 🌾🤖 — Intelligent Edge-Computing IoT Irrigation Ecosystem SmartGarden is an automated precision agriculture system simulated in Cisco Packet Tracer that uses real-time sensory data and a Python edge-computing script to predict rainfall, dynamically adjust crop watering schedules, and enforce hardware safety protocols.