Abstract: A method for converting a digital image comprising a sign-language sign to a text or computer-generated speech: obtaining a web camera stream of a sign-language sign; breaking down the one or more digital video images into a set of singular frames; for each singular frame of the set of singular frames, convert the digital image in the singular frame to an imaging library image; providing a machine-learned model; feeding the digital image into the machine-learned model; adding a sequential layer onto the machine-learned model, wherein the sequential layer comprises a first linear drop model to prevent loss from increasing throughout a training process, and wherein the sequential layer comprises a second linear model used to reduce a loss down to a specified number of output classes; for each digital image: resizing the digital image to two-hundred and twenty-four (224) by two-hundred and twenty-four (224) pixels, scaling down the digital image, removing each border of the digital image, and randomly rotating t