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In today's evolving educational landscape, students encounter numerous challenges during the college admissions process. Traditional counseling methods often fail to deliver the personalized support needed to address diverse student needs effectively. This project endeavors to transform the college counseling experience through the utilization of technology, offering tailored guidance and assistance. By employing advanced machine learning algorithms alongside individualized education, students receive precise recommendations aligned with their goals and aspirations. The implementation of an automated counseling system streamlines the admissions process, alleviating anxieties and expediting decision-making. This initiative holds promise in enhancing students' academic journeys and promoting equity in college admissions, thus fostering success in both academic and professional realms. Furthermore, this research contributes to the discourse on technology integration in education, exploring how data analytics and machine learning can bolster student achievement and advance inclusive educational opportunities.
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Aniket Kachole -
Prasad Upasani -
Aditya Chidre -
International Journal For Multidisciplinary Research
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- et al. (Sat,) studied this question.
synapsesocial.com/papers/68e66ef6b6db6435875f9e0e — DOI: https://doi.org/10.36948/ijfmr.2024.v06i03.20846