DSpace Repository

Quick Learn-AI Powered Learning with Augmented Reality

Show simple item record

dc.contributor.author Maryam Masoud, 01-134212-084
dc.contributor.author Ghanwa Tahir, 01-134212-046
dc.date.accessioned 2026-02-20T04:57:05Z
dc.date.available 2026-02-20T04:57:05Z
dc.date.issued 2025
dc.identifier.uri http://hdl.handle.net/123456789/20649
dc.description Supervised by Ms. Huma Shabbir en_US
dc.description.abstract This project presents the development of a mobile application aimed at revolutionizing the way students engage with learning material. The app leverages Natural Language Processing (NLP) capabilities, utilizing the OpenAI GPT-3 API, to generate personal ized quizzes — including multiple-choice, short-answer, and interactive formats — based on user-uploaded lecture notes or inputted topics. Additionally, the application pro- vides AI-generated detailed explanations of core concepts, offering real-time feedback with interactive visual cues for correct and incorrect answers. Augmented Reality (AR) is incorporated to create 3D visualizations of data structures and algorithms, enabling hands-on learning experiences through animations and drag-and-drop interactions. User engagement is enhanced through gamification features such as experience points (XP), badges, leaderboards, and weekly performance tracking. The mobile app is developed using Flutter for cross-platform deployment, with Firebase serving as the backend, cloud storage, and analytics solution. Basic text parsing techniques are also implemented within the app to format and structure the AI-generated quizzes effectively. Overall, the system provides an adaptive and immersive learning environment, making complex computer science concepts more accessible, interactive, and engaging en_US
dc.language.iso en en_US
dc.publisher Computer Sciences en_US
dc.relation.ispartofseries BS(CS);P-3170
dc.subject Quick Learn en_US
dc.subject AI Powered Learning en_US
dc.subject Augmented Reality en_US
dc.title Quick Learn-AI Powered Learning with Augmented Reality en_US
dc.type Project Reports en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account