Azad, Md. Imran BinDip, Ahnaf shahriarNibir, Shafat Bin NizamMortoza, Dewan GolamZehad, MD. Rajwan Ahmed2025-01-142025-01-14©20242024-10ID 24141152ID 22241045ID 23141095ID 24341114http://hdl.handle.net/10361/25155Cataloged from PDF version of thesis.Includes bibliographical references (pages 43-44).This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.This thesis proposes the design and implementation of a modern, user-friendly system for checking prize bond results. It aims to revolutionize the process of checking prize bond results by implementing OCR(Optical Character Recognition) by using pytesseract and PyMuPdf library. The primary objective is to simplify the process of verifying whether a user’s prize bond number has won or not .The system will leverage image processing techniques to automatically extract and read the prize bond number from the scanned image and pdf. Later it store the extracted prize bond number and matches with the result database and give us the final winner result.This way we find the winner.Finally the system send notification automatically to the winner if the user win or not .The proposed system offers a seamless and efficient experience for users, allowing them to verify their prize bond status through a simple user friendly system.52 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.Optical character recognitionOCRImage processingEvent-driven programmingPyTesseractPyMuPDFDatabase integrationIntelligent notification systemOptical pattern recognition.Expert systems (Computer science).Information storage and retrieval systems.Object-oriented programming languages.Database management.Thesis