International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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CounselWiseAl: Empowering Students with Smart College Selection based on Data Driven Analytics

Author(s) Aniket Kachole, Prasad Upasani, Aditya Chidre, Shreya Dhurde, Pranjali Bahalkar
Country India
Abstract 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.
Keywords Natural Language Processing (NLP), Deep Learning (DL), Web Development, Database Management, User Interface (UI) Design, Software Engineering
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 6, Issue 3, May-June 2024
Published On 2024-06-01
Cite This CounselWiseAl: Empowering Students with Smart College Selection based on Data Driven Analytics - Aniket Kachole, Prasad Upasani, Aditya Chidre, Shreya Dhurde, Pranjali Bahalkar - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.20846
DOI https://doi.org/10.36948/ijfmr.2024.v06i03.20846
Short DOI https://doi.org/gtw6s4
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