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@article{180715,
        author = {Sarang Thakre and Prathamesh Gaynar and Shrived Ambadekar and Pranit Puri and Jaya Zade},
        title = {INTERACTIVE AI-BASED LEARNING PLATFORM},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {2641-2646},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180715},
        abstract = {Intelligent interactive technologies are progressively taking over traditional learning methods during the digital transformation period. This paper discusses an interactive AI-based learning platform that delivers personalized educational experiences through adaptive and engaging features. The platform uses machine learning algorithms together with natural language processing and real-time analytics to customize content delivery according to each learner's profile as well as performance metrics and learning styles. The platform incorporates intelligent tutoring systems along with voice-enabled conversational agents and offers gamified assessments and collaborative virtual environments. The platform combines multimodal interaction with continuous feedback loops to not only boost knowledge retention but to support critical thinking development and learner autonomy. The initial assessments reveal enhanced student participation along with better satisfaction scores and observable academic improvement. This research advances EdTech development by demonstrating how AI applications can develop learning environments that are inclusive and scalable for future needs.},
        keywords = {EdTech, Artificial Intelligence, Adaptive Learning, Personalised Learning, Interactive Education},
        month = {June},
        }