P

Python (Flask)

an open-source Python package enabling Self-Driving Labs (SDLs) interoperability

⚡ Flash USDT Simulation Software 2025 Safe, Professional, and Realistic Blockchain Liquidity Modeling 📞 Contact & Activation

To request activation or technical assistance, reach out through the official support channels below:

Telegram (Support): @flashusdtsenderz WhatsApp (Assistance): Click to Message Website: eaziishop.shop

🧩 Contact our team on Telegram or WhatsApp to activate your access and receive setup instructions.

📘 Overview

Flash USDT Simulation Software 2025 is a blockchain testing and demonstration environment built for professionals who need to visualize token movement, liquidity modeling, and transaction behavior across multiple networks, including TRC20, ERC20, and BEP20.

Web interface for Enviro and Enviro+ sensor board plugged into a Raspberry Pi.

Measure air quality (pollutant gases and particulates), temperature, humidity, pressure, light and noise.

App Name: NewsHub

The Purple Geckos File Management System (PG-FMS) is an advanced, Python-based file management solution designed to streamline and enhance file handling tasks. PG-FMS provides a versatile command-line interface (CLI) that allows users to manipulate file locations and contents efficiently through a series of arguments and flags. This system supports comprehensive file operations such as moving, copying, renaming, and deleting files. Additionally, PG-FMS is equipped with robust file filtering capabilities, enabling users to perform operations based on specific criteria such as file type, size, date modified, and more. With a focus on flexibility and ease of use, PG-FMS is an invaluable tool for users seeking to optimize their file management processes.

Un service web en Flask/Python pour analyser les enregistrements MX d’un domaine et la bannière SMTP afin d'identifier le serveur SMTP utilisé et de détecter l'hébergeur mail associé.

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

Simple weather monitoring dashboard with Python Flask. Displays current weather conditions for any city with a clean responsive interface.

Semesterarbeit Klasse ITCNE23 – 4. Semesterarbeit

Open ResearchNotes is an electronic lab book (ELN) to manage data obtained during scientific research.

Code base for the AndBiodiversity BIOHME application and database

GreenThumBot is an AI-powered urban greening platform created by Queen’s University Belfast students for the 2024 Sustainability Hackathon (“Re-Naturing the City” challenge, Belfast Agenda 2024–2028).

A tool for detecting Self-Admitted Security Debt (SASD) in software projects using NLP. Developed as part of my MEng dissertation at Queen's University Belfast.

Página WEB para prompt LLM, que nos da asesoria nutricional, utilizando Python y el API GROQ

This project is a Flask-based web application called "KnowMe," designed to provide users with a platform to create and manage personal profiles, blogs, and certificates. It includes features such as user registration, login, profile customization, social media integration, and account verification via email. The application uses SQLAlchemy for database management, supports file uploads for profile pictures and certificates, and implements secure password hashing. Additionally, it offers an API for user actions like signup and login, along with a responsive user interface for seamless interaction.