Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disease that affects motor neurons in the brain (upper) and spinal cord (lower) causing the progressive degeneration of these neurons, preventing them from transmitting their nerve impulses. When motor neurons can no longer send impulses to muscles, muscle atrophy begins to occur, followed by increasing muscle weakness, and consequently your speech and other means of communication are compromised. ALS does not affect all parts of the body, such as intellectual reasoning and eye movement. From this, this research aims to develop a system that recognizes the user's blinks, enabling an alternative communication to provide an improvement in the quality of life of people with ALS. The technology allows a camera to detect an individual's blinks and thus be able to select a folder and a word or phrase already determined, automatically sending a response to the software and transmitting it via voice. The development methodology is initially given by field research carried out with ArELA - RS (Regional Amyotrophic Lateral Sclerosis Association of Rio Grande do Sul), with an occupational therapist so that there is knowledge both of people with ALS, as well as of their caregivers and family members, to identify their real daily needs. Through this, it was possible to determine the words and phrases entered in the device. The other main stage of the project was the study and development of the prototype, using the Python programming language. Initially, we use the Haar Cascade function to detect the face in the image transmitted by WebCam, this resource is used through the OpenCV library, when necessary to identify specific objects in an image using simple resource driven cascade classifiers. The identification of the blink is performed using a function called Eyes Aspect Ratio, which allows knowing the proportion of each eye, through the facial landmarks that are responsible for identifying specific points on the face, in this case, the eyes. The Blink Talk project will be completed after the tests, which will be carried out in the field through a list of ten tasks proposed by the group, followed by a questionnaire applied to users and their caregivers. In this way, we will analyze the Blink Talk device, based on its performance. Keywords: Amyotrophic Lateral Sclerosis. Alternative Communication. Blinks.