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Thursday January 30, 2025 12:15pm - 2:15pm IST

Authors - Vaishali Rajput, Swapnil Patil, Diksha Shingne, Uzair Tajmat, Yashodip Undre, Urja Wagh
Abstract - With the rapid advancements in artificial intelligence (AI) and machine learning (ML) within the Ed-Tech sector, our project explores the development of an Adaptive Learning Platform aimed at enhancing student comprehension and engagement. The platform is specifically designed to cater to diverse learning styles by delivering personalized learning experiences that adapt to each individual’s pace, needs, and preferences. Leveraging AI-driven features, the platform ensures that students achieve mastery of core concepts. By identifying patterns in user interactions, such as repeated engagement with specific video segments or prolonged pauses, the system recognizes areas where learners may struggle and responds with customized explanations powered by GPT technology to clarify complex concepts in text form. Upon successful course completion, the system generates certificates as formal recognition of the user's mastery, providing tangible proof of their progress and achievement. This innovative approach not only addresses the inherent limitations in traditional e-learning platforms by fostering a dynamic and responsive learning environment but also sets a new benchmark in personalized education technology. By incorporating cutting-edge AI and ML, this platform promises to significantly enhance student learning efficiency, knowledge retention, and overall academic performance, offering a transformative shift in how education is delivered and experienced.
Paper Presenter
Thursday January 30, 2025 12:15pm - 2:15pm IST
Virtual Room B Pune, India

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