Smart whiteboard management system
| dc.contributor.advisor | Rasheduzzaman, Mirza | |
| dc.contributor.advisor | Rahman, Md. Mosaddequr | |
| dc.contributor.author | Raiyan, Ekram Ahmed | |
| dc.contributor.author | Mercy Al Hossain | |
| dc.contributor.author | Mushfiq Us Salehin | |
| dc.contributor.author | Manjur, Md. | |
| dc.contributor.department | Department of Electrical and Electronic Engineering | |
| dc.date.accessioned | 2026-05-05T10:38:00Z | |
| dc.date.available | 2026-05-05T10:38:00Z | |
| dc.date.copyright | 2025 | |
| dc.date.issued | 2025-10 | |
| dc.description | Cataloged from PDF version of final year design project. | |
| dc.description | Includes bibliographical references (pages 118-120). | |
| dc.description | This final year design project is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2025. | en_US |
| dc.description.abstract | Our Smart Whiteboard Management System transforms the traditional classroom into a modern, interactive space. It's a portable, electric-powered system that cleans the board automatically using 99.5% of the surface area. A 5MP camera captures everything written--notes, equations, and diagrams--and converts them into editable LaTeX PDFs and shares them through a Flask-based web portal. The system also includes an AI chatbot tutor that provides instant help and reduces the need for human assistants by up to 50%. Using reed sensors and ESP32 microcontrollers, it selectively cleans only the required areas, making the process efficient and sustainable. With excellent digitization accuracy, it reduces paper waste and supports eco-friendly learning. | en_US |
| dc.description.degree | B.Sc. in Electrical and Electronic Engineering | |
| dc.description.statementofresponsibility | Ekram Ahmed Raiyan | |
| dc.description.statementofresponsibility | Mercy Al Hossain | |
| dc.description.statementofresponsibility | Mushfiq Us Salehin | |
| dc.description.statementofresponsibility | Md. Manjur | |
| dc.format.extent | 158 pages | |
| dc.identifier.other | ID 21221047 | |
| dc.identifier.other | ID 21221058 | |
| dc.identifier.other | ID 21321062 | |
| dc.identifier.other | ID 24221140 | |
| dc.identifier.uri | http://hdl.handle.net/10361/28192 | |
| dc.language.iso | en | en_US |
| dc.publisher | BRAC University | en_US |
| dc.rights | BRAC University project reports 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. | |
| dc.subject | Whiteboard automation | en_US |
| dc.subject | Content digitization | en_US |
| dc.subject | Image processing | en_US |
| dc.subject | Rule-based algorithms | en_US |
| dc.subject | ESP32 | en_US |
| dc.subject | Real-time digitization | en_US |
| dc.subject.lcsh | Interactive whiteboards. | |
| dc.subject.lcsh | Visual education. | |
| dc.subject.lcsh | Educational technology. | |
| dc.subject.lcsh | Optical character recognition devices. | |
| dc.title | Smart whiteboard management system | en_US |
| dc.type | Project Report | en_US |