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dc.contributor.author | Ahmed Ibrahim Zeb, 01-131212-006 | |
dc.contributor.author | Ahsan Khan, 01-131212-007 | |
dc.date.accessioned | 2025-06-16T12:29:28Z | |
dc.date.available | 2025-06-16T12:29:28Z | |
dc.date.issued | 2025 | |
dc.identifier.uri | http://hdl.handle.net/123456789/19626 | |
dc.description | Supervised by Engr. Subas Bilal | en_US |
dc.description.abstract | The evolution of educational technologies has opened new possibilities for personalized learning, yet existing platforms often rely on static content and limited adaptability. To address these challenges, the AI Learning Platform has been developed as a mobile application aimed at delivering dynamic, personalized, and interactive learning experiences. The platform leverages the DeepSeek API to generate real-time lecture content and adaptive quizzes based on user-selected subjects, ensuring that each learner follows a unique and evolving educational journey. The application provides multiple modules, including AI-assisted learning, access to nearby educational institutes through Google Maps API integration, and a curated list of available online courses sourced via web scraping. User authentication is securely managed through a dual mechanism—traditional email/password login backed by PostgreSQL and Gmail login using Firebase Authentication. All generated content, including lectures, quizzes, user profiles, and course data, is efficiently stored and managed through a NestJS backend with a relational database system. By combining artificial intelligence, mobile computing, and real-time data integration, the AI Learning Platform enhances accessibility, engagement, and personalization in education. It offers learners an innovative path to skill development, bridging the gap between digital and physical educational opportunities while adapting to individual learning styles and performance. The platform marks a significant step forward in making high-quality, personalized education more attainable and responsive to the diverse needs of modern learners. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Software Engineering, Bahria University Engineering School Islamabad | en_US |
dc.relation.ispartofseries | BSE;P-2998 | |
dc.subject | Software Engineering | en_US |
dc.subject | Review of Existing Digital Learning Platforms | en_US |
dc.subject | Database Requirements | en_US |
dc.title | AI Learning | en_US |
dc.type | Project Reports | en_US |