code-health-meter is a comprehensive tool designed to measure and monitor the health of a codebase (JavaScript/TypeScript). It provides a quantitative evaluation of your code's maintainability, complexity, and size using a variety of established software metrics.

A Machine Learning based system to detect semantics in the form of semantic label and suggest optimized alternatives for Python and C++ function-based code snippet.Semantic Detection is language agnostic with accuracy above 95% while optimization with accuracy above 85% for both Python and C++.