This research work proposes the solution of academic inequity problems of students with specific disabilities like deafness. The main task is to construct a system that will ease the communication between deaf and dumb students and the environment by integrating an algorithm that transforms hand gestures into text, speech into text and etc. Proposed system converts multilingual speech into text. The novelty and originality of the work is that this system works for Kazakh language, realized on Telegram bot and it is free of charge. Conversion is realized by extracting information from speech signals. The system is developed in Python language by using Al techniques and Machine Learning (ML) algorithms. The main focus of the work is to implement it in educational sphere, specifically in lectures of universities and colleges what plays a significant role in achieving inclusion and education equity in the country.