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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM45891

CollegeAR Pathway: Enhancing College Exploration with Machine Learning and Virtual Reality

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM45891

Volume:

9 |

4 |

Apr 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM45891

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PNP

Prof. Nilima Pagar’1

RBP

Rushikesh Balasaheb Pawar’2

PKP

Pushpak Kirankumar Pandore’3

SSM

Sanskruti Sanjay More’4

SSK

Sakshi Sandip Karpe’5

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Abstract

The CollegeAR Pathway project is an innovative solution aimed at simplifying the college selection process for students. This tool uses machine learning to provide personalized college recommendations based on a student’s academic profile and preferences. In addition to recommendations, the platform integrates immersive virtual tours of suggested colleges, allowing students to explore campuses remotely. The system is designed to enhance decision- making by offering an interactive, data-driven approach to college selection. The project combines machine learning models, 3D/360-degree virtual tour technologies, and user-friendly interfaces. By combining predictive algorithms with immersive virtual tours, the system helps students make well-informed decisions about their college applications. The project’s scope includes reducing the stress and time associated with campus visits while enhancing decision-making through personalized suggestions and interactive exploration of campuses.

KEYWORDS

Innovative solution personalized college recommendations 3D/360-degree virtual tour technologies user-friendly interfaces.

Cite This Article

Prof. Nilima Pagar’1, Rushikesh Balasaheb Pawar’2, Pushpak Kirankumar Pandore’3, Sanskruti Sanjay More’4, Sakshi Sandip Karpe’5, "CollegeAR Pathway: Enhancing College Exploration with Machine Learning and Virtual Reality," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, Apr 2025. https://doi.org/10.55041/IJSREM45891

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Publication Date

4/25/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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2

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5

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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