Browsing by Author "M.Faseeh Ur Rehman"

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    AI Teaching Assistant
    (UMT.Lahore, 2025) M.Faseeh Ur Rehman; Abdul Moeed Piracha; Muhammad Usama; M. Haris Imran
    The AI Teaching Assistant system is designed with the core objective of enhancing the educational experience through real-time assistance for both students and educators. By leveraging advanced Natural Language Processing (NLP) and machine learning techniques, the system delivers intelligent, personalized support, such as answering queries, generating educational content, and automating repetitive academic tasks. This enables a more efficient and engaging learning environment where students receive immediate feedback and teachers are relieved of routine workloads. This project represents a significant step in integrating artificial intelligence into the traditional classroom model. By bridging conventional teaching practices with AI-driven solutions, it aims to create a hybrid educational environment that is more inclusive, interactive, and accessible to diverse learners. The AI Teaching Assistant is equipped with a user-friendly interface and scalable functionalities, making it suitable for widespread adoption across various educational institutions. Its features are developed to foster deeper student participation and to offer customized learning experiences tailored to individual needs.