stdClass Object
(
    [id] => 15254
    [paper_index] => 202503-01-020471
    [title] => AI-DRIVEN EDUCATIONAL PLATFORM FOR RESOURCE MANAGEMENT AND SKILL-BASED LEARNING 
    [description] => 
    [author] => Zeal Jignesh Gala, Rutu Ramesh Bauva, Muskan Deepak Kateja, Abhinav Vikas Thakur, Tejas Shah, Sakshi Talreja 
    [googlescholar] => 
    [doi] => 
    [year] => 2025
    [month] => March
    [volume] => 11
    [issue] => 3
    [file] => fm/jpanel/upload/2025/March/202503-01-020471.pdf
    [abstract] => This paper presents an AI-driven educational platform designed to simplify resource management for instructors and enhance learning outcomes for learners. The system integrates modern technologies, including React.js for frontend development, Firebase for real-time data handling, and Gemini 1.5 Flash for dynamic assessments. Features such as sequential content delivery, self-paced learning, and AI-powered assessments ensure mastery-based progression. The system also employs real-time dashboards to monitor learner progress, fostering accountability for instructors and students. Supported by research in adaptive learning and educational technologies, the platform addresses critical challenges in modern education.
    [keywords] => Educational Technology, React.js, Firebase, Gemini 1.5 Flash, AI-Powered Assessments, Sequential Learning, Progress Tracking.
    [doj] => 2025-03-07
    [hit] => 
    [status] => 
    [award_status] => P
    [orderr] => 12
    [journal_id] => 1
    [googlesearch_link] => 
    [edit_on] => 
    [is_status] => 1
    [journalname] => EPRA International Journal of Multidisciplinary Research (IJMR)
    [short_code] => IJMR
    [eissn] =>  2455-3662 (Online)
    [pissn] => - --
    [home_page_wrapper] => images/products_image/11.IJMR.png
)
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