Abstract
This article is based on the development of accessible software for individuals without upper limbs, enabling them to interact with a computer through voice commands and visual gestures. The aim of the research was to promote social and labor inclusion through open technologies such as Python, OpenCV, and voice recognition systems. The study adopted a mixed-methods approach, with validation in a controlled environment and iterative development of the prototype. The results show that the system allows users to perform basic tasks such as opening documents, browsing the internet, and communicating through digital platforms. It is concluded that this type of solution can reduce technological barriers, improving the quality of life and autonomy of people with motor disabilities. The software has been developed for Windows but is adaptable to Linux. While the first phase of the research focused on software development and controlled testing, the second phase will continue with experimental trials and result measurement through the creation of indicators to determine whether the software meets the research objectives.
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