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

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

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-04-24
DOI
https://doi.org/10.55041/ijsrem45891
Primary Topic
Engineering Education and Technology
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Nilima Pagar
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Engineering Education and Technology
article

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

Nilima Pagar
article en

Abstract

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

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(04)
Openalex Percentile: Top 89%
Engineering Education and Technology
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