Considering the rehabilitation needs of stroke patients and the advancements in computational tools within the healthcare sector, this study aims to conduct a comprehensive literature review and develop an application leveraging Computer Vision and Artificial Intelligence to classify movements in support of rehabilitation. To achieve this, a systematic review of relevant literature was conducted, and based on the findings, an application was developed and is currently undergoing testing. Preliminary results from an initial evaluation by a healthcare professional in the rehabilitation field have shown promising outcomes. These findings suggest that tools of this nature can be valuable in enhancing rehabilitation activities and may be further refined to address a broader range of patient needs.