Gold Sentinel, a company specializing in advanced AI solutions for long-term care facilities, seeks to enhance the performance of its existing Python codebase by migrating it to C++. The primary goal of this project is to leverage the speed and efficiency of C++ to improve the execution time of critical algorithms. This project provides learners with the opportunity to apply their programming knowledge in both Python and C++, while also gaining experience with Visual Studio Code (VSCode) as a development environment. The project involves understanding the existing Python code, identifying performance bottlenecks, and rewriting the code in C++ while maintaining the original functionality. This task will help learners develop skills in code optimization and cross-language translation, which are valuable in software development.

- Analyze the existing Python codebase to understand its functionality.

- Identify key areas where performance improvements can be achieved through C++.

- Rewrite the identified Python code in C++ using VSCode.

- Ensure that the C++ code maintains the same functionality and accuracy as the original Python code.

The deliverables for this project include a fully functional C++ codebase that mirrors the original Python code in terms of functionality and performance. Learners will also provide a detailed report documenting the migration process, challenges faced, and solutions implemented. Additionally, a presentation summarizing the project outcomes and demonstrating the performance improvements achieved through the migration will be required.

- A C++ codebase with equivalent functionality to the original Python code.

- A comprehensive report detailing the migration process and challenges.

- A presentation showcasing the project outcomes and performance improvements.