Mind’s Eye: AI-Powered Problem-Solving with Visualization

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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


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