🌿 Smart Garden Manager in C++ with Robotics, UI, Drones, and Sound "A Rainwater Conservation System for Tomorrow’s Farms"

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  🌿  Smart Garden Manager in C++ with Robotics, UI, Drones, and Sound "A Rainwater Conservation System for Tomorrow’s Farms" 🧭  1. Introduction: Farming in the Age of Climate Change In a world where clean water is more precious than gold, efficient  rainwater harvesting and plant care systems  are no longer optional — they’re essential. Smart farming doesn’t mean just automating irrigation. It means combining  robotic drones, environmental sensors, and intelligent scheduling  to build a garden that practically takes care of itself. In this guide, we build a  fully functional Garden Manager System  using  C++  that: Captures and conserves rainwater Uses  robotic drones and sensors  to monitor crop health Integrates a  real-time UI  with progress bars and alerts Includes  timers  for scheduling plant growth and drone tasks Plays  interactive sounds  based on crop state and events Whether you'r...
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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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