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Individuals who are deaf or those having hearing problems can communicate through alternative modes of communication, such as sign language, both within and outside their community. As a result, the sign serves as a tool that mediated communication goals. With the aid of recent advances in computer vision, there has been promising progress in the fields of motion and gesture detection using deep learning. In this work, convolutional neural networks are utilised to develop a model for recognising the Arabic language's alphabet signs in order to aid communication goal. The research used the Arabic Alphabets Sign Language Dataset (ArASL2018), which contains sets of images indicating each specific sign for each letter of the alphabet. Experimental analysis was carried out using the proposed model. The results of the analysis reveal a recognition accuracy of 94.46%. Furthermore, the comparative analysis with the previous studies indicates that the proposed model outperformed all of them in terms of recognition accuracy. [ABSTRACT FROM AUTHOR]

In the field of education, poor spelling is a significant learning obstacle. To help overcome this barrier, this current study designed and developed a mobile-based system entitled: “Let's Spell” in order to help children boost their spelling skills by utilizing up-to-date technical tools necessary for learning. The system was developed by following the generic software systems development process. The main features used for the systems are “exercises” associated with “games-like learning state”. Each game is based on the exercises on "Language Book" and is implemented using interactive voice recognition methods so that each letter in the set of letters and the names of various objects associated with the letter are expressed together aloud. Then the names will be called out to the children, who will in turn read it. If they get it right, they can go to the next level of the game, and in this way, they can continue to improve and succeed. On the other hand, if they get it wrong, a message will appear telling them to try again. In the event that they keep getting it wrong each time a help option is provided, a correction feature will be present to show them how to spell it correctly. Hence this contribute to the provision of a tool that will bring concentration on the practice of learning and enhanced confidence for the learners as well as improving the learning satisfaction. [ABSTRACT FROM AUTHOR]