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++-Based Smart Email Organizer

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C++-Based Smart Email Organizer

This system consists of two integrated C++ programs designed to automatically prioritize, sort, and manage emails efficiently.

Main Idea

1. Fetching and Classifying Emails (Program 1 – C++ with IMAP)

  • Connects to an email account and fetches emails.
  • Extracts metadata such as subject, sender, attachments, and timestamps.
  • Identifies spam, promotions, and newsletters based on predefined rules.
  • Stores data in a local database (SQLite or MySQL).

2. AI-Based Email Prioritization (Program 2 – Machine Learning in C++)

  • Uses rules and past interactions to categorize emails.
  • Assigns priority scores based on user preferences.
  • Suggests smart labels such as "Urgent", "Read First", or "Reply Later".
  • Moves emails into appropriate folders.

Plan of Integration

Program 1: Email Fetcher & Classifier

  • Connects to an email account and fetches emails.
  • Extracts email data and stores it in a database (SQLite or MySQL).
  • Sends the stored data to Program 2 for AI-based prioritization.

Program 2: AI-Based Email Prioritizer

  • Reads stored email data from the database.
  • Uses machine learning algorithms like Decision Trees for classification.
  • Updates labels and assigns priority scores.
  • Modifies database entries and moves emails accordingly.

Technology Stack

  • C++ – Core processing, IMAP handling, file handling.
  • SQLite or MySQL – Storage of emails.
  • Boost & C++ ML Libraries – AI-powered email prioritization.

Program 1: Email Fetching and Classifying in C++

Main Features

  • Connects to an email account using IMAP (Outlook, Gmail, etc.).
  • Fetches emails and extracts metadata such as timestamps, sender, and subject.
  • Stores email data in an SQLite or MySQL database.

Steps to Deploy

  1. Use the cURL library to connect to the IMAP server.
  2. Parse email metadata and save it to the database (SQLite or MySQL).
  3. If using SQLite, ensure SQLite3 is implemented.

This system automates email management by integrating email retrieval with AI-powered prioritization, helping users efficiently organize their inbox.

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