The Muggy Weather Robotics Duo

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 The Muggy Weather Robotics Duo A C++ System That Thinks, Feels (Sensors!), and Acts Humidity is like the quiet character in the weather story that actually runs the show. On muggy days, everything feels heavier—breathing, drying laundry, running machines, even keeping a data center cool. For people, it’s about comfort and health; for machines, it’s about performance and reliability; for plants and buildings, it’s about moisture balance and mold risk. In robotics and automation, muggy weather isn’t just a nuisance—it’s a signal . It tells your systems when to ventilate, when to dehumidify, when to throttle physically demanding tasks, and when to take preventative maintenance actions. Today, we’ll build a two-program C++ system that “understands” muggy weather: Program A — sensor_hub.cpp A sensor-side program that generates (or ingests) a live stream of environmental data (temperature, relative humidity, pressure, CO₂, VOCs). Think of it as your robotic nose and skin , con...
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C++ AI-Based Network Security Monitor

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C++ AI-Based Network Security Monitor

This project consists of two integrated C++ programs designed to monitor network traffic and detect security threats using AI.

Program 1: Network Packet Analyzer

This component captures and logs network traffic for analysis.

Features:

  • Uses libpcap to capture network packets.
  • Extracts key details such as source/destination IP, protocol, and port type.
  • Stores packet logs in a MySQL database for further analysis.

Program 2: AI-Based Intrusion Detector

This component analyzes network traffic and detects suspicious activities using machine learning.

Features:

  • Uses machine learning to classify network packets as safe or suspicious.
  • Flags anomalous traffic patterns, such as failed logins and unusual data transfers.
  • Sends real-time alerts via SMS or email when a security breach is detected.

How They Work Together

  1. Packet Capture & Logging – The network packet analyzer logs network traffic in a MySQL database.
  2. Intrusion Detection & Alerts – The AI-powered detector reads the stored data, analyzes it for threats, and sends alerts if suspicious activity is found.

Tech Stack

  • C++ (Main logic and GUI using Qt for a basic security dashboard)
  • libpcap (For capturing network traffic)
  • MySQL (For storing and retrieving network logs)
  • Pre-trained Machine Learning Model (For detecting security threats)

This system enhances network security by continuously monitoring traffic and providing real-time threat detection, making it suitable for businesses, enterprises, and cybersecurity applications.

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