This document describes a Raspberry Pi-based hardware implementation of a Braille teaching aid. The system uses IR sensors embedded in a Braille slate to detect the positioning of marbles representing Braille letters. The sensor readings are processed by the Raspberry Pi, which outputs the corresponding audio letter pronunciation through speakers. The system aims to make Braille learning easier for visually impaired students by automating the detection and audio feedback of letter representations. Software was developed using Simulink to define the logic for identifying letters as capital, small, or numbers based on the marble patterns detected by the IR sensors. Evaluation of the system achieved high accuracy in recognizing different Braille configurations for capital letters, small letters, and numbers.