Contributed to the open-edge-platform/edge-ai-libraries repository by developing two new machine learning microservices, Isolation Forest and Random Forest, designed for modular deployment at the edge. Leveraged Git submodules to integrate these services, enabling future scalability and streamlined updates. Focused on enhancing project documentation using Markdown, standardizing naming conventions, and updating the README to provide clearer navigation and consistent documentation links. The work established a foundation for scalable microservice integration without addressing bug fixes during this period. Emphasized maintainability and clarity, ensuring that both the codebase and supporting documentation facilitate easier adoption and ongoing development within the edge AI ecosystem.