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@article{204384,
        author = {Sakshi Ramchandra Yedage and Dr. Sarita Vitthal Balshetwar and Shreya Shivaji Sutar and Pratik Dattatray Gobade and Kiran Balasaheb Sanap and Siddhi Pradeep Shipkule},
        title = {AI Smart Scholarship and Exam Manager},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {1},
        pages = {2350-2354},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=204384},
        abstract = {In education, artificial intelligence (AI) is rapidly growing in strength. It functions as a clever assistant that streamlines and simplifies routine academic tasks rather than taking the place of instructors or established systems. AI is assisting students and institutions in managing procedures that used to feel complicated and time-consuming, from organizing data to providing tailored guidance. 
Scholarship searches, eligibility checks, document reviews, and exam administration are still done by hand in many schools and colleges. Students may lose out on important opportunities because information is frequently dispersed across several websites and platforms. Administrators also put in a lot of work handling paperwork and exam-related duties, which slows down the process. These difficulties highlight the need for more intelligent and networked systems.
These issues are intended to be resolved by recent advancements in AI-powered academic automation. By examining a student's profile, recommendation systems are able to make recommendations for scholarships that are a true fit for their interests and qualifications. Additionally, by lowering errors and saving time, Natural Language Processing (NLP) tools can assist in more effectively verifying documents and eligibility information. This increases the openness and accessibility of the scholarship application process for all. Exam management is also being transformed by AI. It can help with creating question papers, assessing responses, examining outcomes, and even forecasting how well students will perform. Students and teachers can both gain a better understanding of their progress and areas for development with the help of visual dashboards and real-time insights. Institutions can use AI to promote ongoing learning and development rather than just administering tests.},
        keywords = {Artificial Intelligence, scholarship recommendation system, exam automation, NLP document verification, machine learning, predictive analytics, educational decision support, student performance analysis.},
        month = {June},
        }