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@article{201863,
        author = {Vaishnavi Jadhav and Vedantika Jadhav and Swaraj Shinde and Dnyaneshwari Nikam},
        title = {AI-Driven Personalized Learning Platform},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {5510-5513},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=201863},
        abstract = {In regular classrooms, teachers usually teach the same way to everyone. That does not always work well because students learn differently. Some kids need more time to get things, so extra practice helps them. Others already understand and want harder stuff to keep going. It feels like the system leaves some behind sometimes.
This platform I am talking about uses AI to make learning personal for each student. It looks at how they do on quizzes and what they seem to know about subjects. Based on that, it suggests things like notes or videos that fit just right. I think machine learning and natural language processing are the main parts that make this happen. They check behaviour too, not just scores.
The recommendations include practice questions and assignments tailored to what the student needs. There is also automatic testing and feedback that keeps coming as they go. Performance tracking shows progress, which might motivate more. It seems kind of obvious that this would help engagement.
As a learning assistant, it lets students go at their own speed. Teachers do not have to handle everything alone anymore. Focusing on weak spots makes sense, right. This whole idea with AI changes education to something more flexible. Not sure if it is perfect, but it looks promising for making things better centered on the learner. Traditional ways can be inefficient, and this addresses that in a way.},
        keywords = {Artificial Intelligence, Personalized Learning, Machine Learning, Adaptive Learning, Student Performance Analysis, Educational Platform},
        month = {May},
        }