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dc.contributor.author | Inshira Fatima, 01-134211-033 | |
dc.contributor.author | Anam Ghaffar, 01-134211-101 | |
dc.date.accessioned | 2025-05-13T07:59:09Z | |
dc.date.available | 2025-05-13T07:59:09Z | |
dc.date.issued | 2024 | |
dc.identifier.uri | http://hdl.handle.net/123456789/19523 | |
dc.description | Supervised by Dr. Sumaira Kausar | en_US |
dc.description.abstract | In the realm of physics education, the "Mind’s Eye" project introduces an innovative AI-powered platform designed to revolutionize how students interact with and understand complex physics concepts. By leveraging advanced natural language processing and visualization techniques, this system addresses the common struggles students face in grasping abstract ideas and developing problem-solving abilities. The platform offers dynamic, personalized learning experiences, breaking down intricate physics problems into digestible components and providing clear, stepby- step explanations enhanced by visual aids such as flowcharts and diagrams. This approach not only facilitates deeper understanding but also cultivates engagement and self-directed learning. "Mind’s Eye" represents a significant stride in educational technology, promising to bridge the gap between traditional teaching methods and the needs of modern learners in both high school and college settings. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Computer Sciences | en_US |
dc.relation.ispartofseries | BS(CS);P-02290 | |
dc.subject | Mind’s Eye | en_US |
dc.subject | AI-Powered | en_US |
dc.subject | Problem-Solving | en_US |
dc.title | Mind’s Eye: AI-Powered Problem-Solving with Visualization | en_US |
dc.type | Project Reports | en_US |