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@article{163991,
        author = {Talha Shaikh and Avesh Momin and Adnan Sayyed and Rohit Nagerwelly and Prof. Reshma Lohar},
        title = {AI-Powered Personalized Learning Assistant},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {12},
        pages = {959-963},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=163991},
        abstract = {By offering individualized training experiences, the "Personalized AI Learning Assistant" transforms conventional learning techniques. This cutting-edge platform adjusts to different learning methods and preferences by using sophisticated algorithms. Get access to a wide variety of instructional materials, such as films, articles, and interactive tests. Get personalized recommendations and real-time feedback to improve understanding and retention. The AI assistant meets the changing needs of contemporary learners by providing accessibility across devices through its cloud-based architecture. Through the utilization of adaptive teaching methodologies and self-paced learning, the platform enables users to efficiently accomplish their educational objectives.},
        keywords = {Artificial intelligence, Machine learning,
Educational materials, Natural language processing,
Personalized learning, Feedback loop, Adaptive learning paths, Assessments, Data security, Dynamic educational},
        month = {},
        }