Worked on the PDM4AR/exercises repository to enhance the reliability of numeric evaluations in exercise 05 by addressing a floating-point precision issue in radius calculations. Focused on software development and testing using Python, the developer introduced an absolute tolerance parameter to the math.isclose function, effectively preventing false negatives caused by edge-case floating-point discrepancies. This adjustment ensured that both learners and automated systems could accurately validate radius values, improving the robustness of the exercise. All changes were carefully documented and linked to issue #147, maintaining clear traceability for future audits and ongoing maintenance within the codebase during the development period.