The ORANOR project aims to address the deployment challenges of the OpenRAN 5G architecture, which, despite its many advantages, also exposes network components to malicious attacks and requires careful orchestration to ensure the continuity and reliability of services in the face of the probability of failures. The main proposal of the project is to use optimization and machine learning techniques for efficient resource orchestration, minimizing the risk of failures and energy consumption, as well as identifying and mitigating vulnerabilities related to possible cyber attacks. Such solutions will be encoded in the form of xApps and rApps for OpenRAN architecture. The project is carried out in a collaborative network formed by the Federal University of Pará, Federal University of Pernambuco, Federal University of Ceará, and Federal University of Amazonas, and has a partnership with RNP, which provides access to the OpenRAN@Brasil project's homologation environments for testing, validation, and deployment of the techniques and xApps developed.