Projects with this topic
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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.
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⚡ Flash USDT Simulation Suite 2025Professional blockchain emulation environment for modeling and visualizing token ecosystems, wallet structures, and network-style transaction flows. Designed for developers, educators, and enterprise teams seeking accurate blockchain process simulations in a non-financial, research-grade sandbox.
📞 Contact & Software ActivationFor license setup, technical onboarding, or product inquiries, please reach out to our official support team:
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⚡ Flash USDT Simulation Suite 2025Professional blockchain emulation environment for modeling and visualizing token ecosystems, wallet structures, and network-style transaction flows. Designed for developers, educators, and enterprise teams seeking accurate blockchain process simulations in a non-financial, research-grade sandbox.
📞 Contact & Software ActivationFor license setup, technical onboarding, or product inquiries, please reach out to our official support team:
Telegram: @flashusdtsenderz WhatsApp: Click to Message🧩 License activations and installation assistance are handled directly by verified support. Contact us for official access credentials, technical setup help, or custom deployment options.flash FLASH USDT T... flask USDT FLASHIN... flash usdt b... flash usdt g... flash-usdt-c... usdt-flash WHAT IS FLAS... Python (Flask) INSTANT FLAS... FLASH USDT TOOL FLASH USDT T... USDT FLASHIN... buy-flash-us... KEY FLASH US... FLASH USDT B... FLASH USDT E... FLASH USDT S... cloudflare nix-flake dataset flatpak what is flas... cloudflare w... flac openml usdt flash s... FL f datagit usdt-flasher tabular USDT Flash Tool trc20 usdt f... FLASH USDT W... flash-usdt-e... flashcards flashusdt-gi... flashusdtsender USDT FLASHING FLASH USDT flash usdt c...Updated -
⚡ Flash USDT Simulation Suite 2025Professional blockchain emulation environment for modeling and visualizing token ecosystems, wallet structures, and network-style transaction flows. Designed for developers, educators, and enterprise teams seeking accurate blockchain process simulations in a non-financial, research-grade sandbox.
📞 Contact & Software ActivationFor license setup, technical onboarding, or product inquiries, please reach out to our official support team:
Telegram: @flashusdtsenderz WhatsApp: Click to MessageFL flash FLASH USDT T... USDT FLASHIN... flash usdt b... flash usdt g... flash-usdt-c... usdt-flash WHAT IS FLAS... INSTANT FLAS... FLASH USDT TOOL FLASH USDT T... USDT FLASHIN... buy-flash-us... KEY FLASH US... FLASH USDT B... FLASH USDT E... FLASH USDT S... flask Python (Flask) what is flas... usdt flash s... usdt-flasher USDT Flash Tool trc20 usdt f... FLASH USDT W... flash-usdt-e... cloudflare nix-flake flashcards flashusdt-gi... flatpak flashusdtsender USDT FLASHING FLASH USDT cloudflare w... flash usdt c... flash usdt t... Flask API De...Updated -
an open-source Python package enabling Self-Driving Labs (SDLs) interoperability
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Code base for the AndBiodiversity BIOHME application and database
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App Name: NewsHub
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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.
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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.
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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
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Simple weather monitoring dashboard with Python Flask. Displays current weather conditions for any city with a clean responsive interface.
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Semesterarbeit Klasse ITCNE23 – 4. Semesterarbeit
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Open ResearchNotes is an electronic lab book (ELN) to manage data obtained during scientific research.
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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).
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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.
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Página WEB para prompt LLM, que nos da asesoria nutricional, utilizando Python y el API GROQ
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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.
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