NextGen College Advisor

Navigating the college admission process in India is often overwhelming for students due to fluctuating cutoff ranks, diverse domains, and the need to consult multiple sources. Traditional methods of college selection rely heavily on manual research, which is time-consuming and error-prone. To address this challenge, NextGen College Advisor leverages machine learning specifically the Random Forest algorithm to predict students' admission chances based on historical KCET cutoff trends. The platform offers real-time, category-specific (General, OBC, SC, ST) predictions across various domains such as engineering, veterinary, and agriculture. It features secure OTP-based authentication, an intuitive dashboard, and multilingual support to enhance accessibility. By automating data analysis and college recommendation, the system minimizes human effort, increases prediction accuracy, and empowers students with personalized guidance for informed decision-making.

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Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-05-23
DOI
https://doi.org/10.22214/ijraset.2025.71306
Primary Topic
Innovations in Medical Education
Type
article
Field-Weighted Citation Impact
0.00
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NextGen College Advisor

B. M. Vidyavathi
International Journal for Research in Applied Science and Engineering Technology
Innovations in Medical Education
article

NextGen College Advisor

B. M. Vidyavathi
article en

Abstract

Navigating the college admission process in India is often overwhelming for students due to fluctuating cutoff ranks, diverse domains, and the need to consult multiple sources. Traditional methods of college selection rely heavily on manual research, which is time-consuming and error-prone. To address this challenge, NextGen College Advisor leverages machine learning specifically the Random Forest algorithm to predict students' admission chances based on historical KCET cutoff trends. The platform offers real-time, category-specific (General, OBC, SC, ST) predictions across various domains such as engineering, veterinary, and agriculture. It features secure OTP-based authentication, an intuitive dashboard, and multilingual support to enhance accessibility. By automating data analysis and college recommendation, the system minimizes human effort, increases prediction accuracy, and empowers students with personalized guidance for informed decision-making.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(5)
Ballarat Health Services (AU)
Openalex Percentile: Top 84%
Innovations in Medical Education
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