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mqtt

The QR Code Communication Gateway is a project that illustrates communication between two independent cooperating components that run as Docker containers

[2023-2024] Community-powered PM2.5 pollution monitoring network. Hacks €12 IKEA sensors into GPS detectors with real-time mapping. Mobile data collection across neighborhoods, offline sync capability, and community workshops making environmental monitoring accessible.

A no-std MQTT client for IoT devices

A Python application to forward Meshtastic MQTT location messages to a Traccar server

IoT Final Capstone Project

Integrate Electrolux Comfort 600 to MQTT / Home Assistant

Hi-Performance MQTT Broker

Das Projekt PowerMeterMqtt ist eine ESP32-basierte Lösung zur Verarbeitung von OBIS-Daten von Stromzählern. Es ermöglicht das Auslesen, Verarbeiten und Übertragen der Daten über MQTT an Home Automation Plattformen wie Home Assistant. Eine benutzerfreundliche Weboberfläche bietet Konfigurationsmöglichkeiten für MQTT, OBIS-Codes und Debugging. Das Projekt unterstützt OTA-Updates, LittleFS für statische Dateien und Home Assistant Discovery für eine einfache Integration.

Homewizard watermeter

Home automation classes for optimizing heating and water circulation.

My standard template for a project using an ESP8266 and Thingsboard

WiFi/BLE communication module (M&M WiFi/BLE Board)

Oremi Ohunerin Listener bridges Oremi Ohunerin's real-time audio detection with MQTT, enabling seamless integration into home automation systems like Home Assistant.

Trading Bot – Algorithmic Crypto Trading with AI Integration

This project is a powerful algorithmic trading bot for cryptocurrency markets. It combines traditional technical analysis with modern machine learning to generate accurate and intelligent trading decisions.

Key Features:

Candlestick Pattern Detection: Identifies classic reversal patterns such as Hammer, Doji, Engulfing, Shooting Star, and complex formations like triangle patterns.

Technical Indicators: Includes standard indicators (RSI, MACD, Moving Averages, Bollinger Bands) and advanced tools like Ichimoku Clouds, SuperTrend, Fibonacci Retracements, and more.

Machine Learning Integration: Uses LSTM-based models for time-series forecasting and momentum strategies, combined with indicator signals through weighted evaluation.

Dynamic Signal Weighting: Customizable signal weighting for patterns, indicators, and ML predictions with automatic adjustments to market volatility.

Trade Execution Engine: Supports long/short positions with stop-loss, take-profit, and trailing stop features. Automatically includes fees and tax deductions in profit calculations.

Backtesting & Debugging: Simulates strategies on historical data with detailed equity/value curve visualization and comprehensive debug logs.

Robust Error Handling: Detects and logs data inconsistencies, index errors, and processing issues to ensure stability.

Modular architecture with key components such as TraderBot, SignalHandler, PatternManager, IndicatorManager, MLModelHandler, SequenceManager, DataAPI, and CryptoCurrency. Additional support provided by PatternCalculator, IndicatorCalculator, and DataProcessing.

Version: V1.3.0.0 | GUI: V1.0.0 Author: Marian Seeger – info@seegersoftwaredevelopment.de

The node providing a client side Web application animating a 3D rendered game board based on the game progress events.

Node managing the state of an ongoing game

The node responsible for interfacing the original micro-controller based control board with the messages based architecture of the application.