Unlike monolithic applications, this suite was designed using an Object-Oriented (OOP) approach with a strong emphasis on modularity, maintainability, and efficient resource handling. Each tool operates as a self-contained module, coordinated through a central application hub.
Implemented dynamic module launching in the main hub (app_principal.py).
Tools are initialized only when invoked, reducing unnecessary memory allocation during idle states
and improving application responsiveness.
A custom Game State Manager (logica_ajedrez.py)
handles complex chess rules including FEN parsing, castling rights,
and pseudo-legal move generation with zero external dependencies.
A centralized Style Dictionary (style.py)
ensures a cohesive interface across all modules, reinforcing maintainability
and adherence to the DRY principle.
For the Checkmate Trainer, I integrated the Stockfish C++ binary. The application communicates with the engine through process pipes to provide real-time evaluation and dynamic defensive responses.
Developed a statistical analysis module
(calculadora_elo.py) using CustomTkinter.
This component implements official chess rating formulas
to calculate performance ratings and expected scores.
The Flashcard System implements a complete CRUD lifecycle through structured JSON-based persistence, enabling users to manage personalized study material locally.
A technical report exploring the architecture, engine integration, and mathematical modeling behind the platform.