Advisio Management System

Advisio is a C++ and Qt desktop application for training-center operations. It combines business modules such as clients, employees, trainings, meetings, and resources with reporting, computer-vision login, notifications, and Arduino-backed hardware workflows.

Project Scope

• Authentication with credential-based login and face recognition
• CRUD flows across clients, employees, trainings, meetings, and resources
• PDF export, QR-code generation, statistics, and in-app notifications
• Email reminders and SMS notifications for operational workflows
• Arduino integration for a live waiting-room counter display
• AI-assisted features for chatbot and image-based resource analysis

Architecture

flowchart LR
    GUI[Qt Desktop Application] --> DB[(ODBC Data Source)]
    GUI --> CV[OpenCV Face Recognition]
    GUI --> IO[Email, SMS, and AI APIs]
    GUI --> HW[Arduino Serial Integration]

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Stack

• C++17
• Qt 6.7.3 Widgets
• Qt Charts, Qt SQL, Qt Network, Qt PrintSupport, Qt SerialPort
• OpenCV
• ODBC via QODBC
• qmake and MinGW
• Arduino Uno integration

Technical Highlights

• Multi-module desktop application with a unified Qt Widgets interface
• Role-aware operational workflows across several business domains
• OpenCV-based login path alongside standard credential authentication
• Reporting and visualization through PDF export and animated charts
• Hardware interaction through serial communication with Arduino devices

Repository Layout

core/       database connection, mail sender, notifications, shared helpers
managers/   business logic for clients, employees, trainings, meetings, resources
ui/         main window, charts, search, and Arduino-related UI components
dialog/     edit and update dialogs for domain entities
lib/        bundled QR-code generation library

Build Requirements

• Qt 6.7.3 with Widgets, SQL, Network, Charts, PrintSupport, and SerialPort
• MinGW 64-bit toolchain
• OpenCV installation with face-recognition support
• ODBC data source configured for the application database
• Arduino drivers only if hardware-backed features are used

Notes

• This repository is strongest as a desktop systems project that mixes application logic, reporting, computer vision, and hardware integration
• Some integrations depend on external services or local machine configuration, so setup is environment-specific