Sadeque, Farig YousufKarim, S.M MinoorAhmed, Mahdi UddinBanik, HimelMamoon, Jawad IbnOrpon, Tawhid Mollah2025-08-122025-08-1220232023-01ID 21101111ID 20301469ID 19101633ID 20301474ID 21301719http://hdl.handle.net/10361/26533Cataloged from PDF version of thesis.Includes bibliographical references (pages 37-38).This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.Sign Language, a non-vocalized means of communication via the use of hand signs, gestures and motions to articulately express oneself and communicate with others for differently-abled people, especially hearing and speaking-impaired people. It is the most dominant form of communication in these communities. However, like all forms of communication, this too requires both sides to understand the language, which is the main barrier among many people of the community, due to not only having varied forms of sign language but also very few people outside the community who understands them. Our research aims to design a system using a glove or camera that reads Bangla Sign Language, processes and interprets it efficiently, and provides output in the form of Bangla Language for the other party to understand. We aim to focus on the Pre-processing aspect. Hence we decided to deploy Fast Fourier Transformation to decrease the pre-processing time.38 pagesenBRAC University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.Sign languageBanglaDetectionPre-processingFast fourier transformationSign language.Fourier transformations.Thesis