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@article{180585,
        author = {Sanket Sanjay Mole and Aadesh Jalindarnath Narawade and Aditya Shankar Dange and Mansi Mohan Baviskar and Prof. Supriya Balote},
        title = {EduQuest: A smart Ed-Tech Platform},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {2665-2670},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180585},
        abstract = {Edu Quest aims to enhance online education by using AI to automate evaluations and deliver timely feedback to learners. Unlike the static manual grading elearning platforms, EduQuest incorporates sophisticated AI frameworks, leveraging natural language processing and LangChain tools to dynamically generate quizzes and assess responses. This enables the platform to provide real-time evaluations and personalized feedback dur- ing AI-curated instructional sessions.
With this approach, the time required for grading is reduced by 70%, while student engagement improves by 40%, resulting in a more engaging and adaptable learning environment. Further- more, EduQuest’s cloud-based framework guarantees scalability and high availability. A single comprehensive evaluation was conducted and results showed Aurora educa case study results quantify with the proven effectiveness to accentuate personaliza- tion and learning efficiency marking a notable step forward in education relying on AI.},
        keywords = {EduQuest, AI-powered learning, automated as- sessments, real-time feedback, adaptive learning environments, personalized learning, scalability.},
        month = {June},
        }