EduVision AI-Powered Software for Interactive Presentation
| dc.contributor.author | Lazar, Abdel-Moudjib | |
| dc.contributor.author | Moulai-Khatir, Abdessamed | |
| dc.date.accessioned | 2025-11-10T08:41:47Z | |
| dc.date.available | 2025-11-10T08:41:47Z | |
| dc.date.issued | 2025-06-29 | |
| dc.description.abstract | This master’s thesis presents the design and development of EduVision, an AI-powered interactive presentation system aimed at modernizing classroom instruction. The system integrates a multimedia-rich graphical user interface (GUI) , a custom-designed smart pen equipped with motion sensors and Bluetooth, and an artificial intelligence model that enables real-time tracking of gestures and interactions projected on classroom screens. EduVision allows educators to create dynamic presentations, annotate live content, and trigger interactive elements such as maps and quizzes—all without returning to the computer. The AI model was trained using a custom dataset to detect the smart pen and interpret its movements, enabling seamless interaction between teacher and content. This project bridges software, hardware, and artificial intelligence to deliver a cohesive, hands-free teaching experience. | |
| dc.identifier.uri | https://dspace.univ-tlemcen.dz/handle/112/25210 | |
| dc.language.iso | en | |
| dc.publisher | University of Tlemcen | |
| dc.subject | AI in Education | |
| dc.subject | Human-Computer Interaction | |
| dc.subject | Computer Vision | |
| dc.subject | PyQt5 | |
| dc.subject | Smart Pen | |
| dc.subject | Gesture Recognition | |
| dc.subject | Interactive Presentations | |
| dc.subject | Deep Learning | |
| dc.subject | Embedded Systems. | |
| dc.title | EduVision AI-Powered Software for Interactive Presentation | |
| dc.type | Thesis |