🌿 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++ Smart Document Summarizer and Analyzer

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 C++ Smart Document Summarizer and Analyzer

This project consists of two integrated C++ programs designed to process documents efficiently.

Program 1: Document Text Extractor and Formatter

This component extracts text from images (e.g., scanned PDFs, handwritten notes) and structures it into a readable format.

Features:

  • Uses OCR (Optical Character Recognition) to extract text.
  • Formats the extracted text into structured documents with headings, paragraphs, and bullet points.
  • Saves the processed text into a MySQL database for further use.

Program 2: AI-Powered Document Summarizer

This component analyzes and summarizes the extracted text using Natural Language Processing (NLP).

Features:

  • Categorizes documents into academic, legal, business, casual, etc.
  • Highlights key points and generates a concise summary.

Technology Stack

  • C++ (Core Logic & GUI) – Uses a lightweight GUI library like Qt.
  • Tesseract OCR – Extracts text from images.
  • MySQL – Stores extracted and summarized text.
  • Pre-trained NLP Model – Enhances text summarization.

How They Work Together

  1. The Text Extractor scans and extracts text from documents.
  2. The extracted text is stored in a database.
  3. The Summarizer retrieves the text, processes it using NLP, and generates a summary.

This integrated system provides an efficient way to extract, structure, and summarize documents using C++ and AI-powered techniques.

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