CollegePal

GitHub

CollegePal banner artwork

Introduction

CollegePal is your machine learning powered academic counselor.

Explore Colleges

With its user-friendly interface, you can effortlessly browse, filter, and view colleges to find your perfect fit.

With Grid

CollegePal college explorer in grid view on iPad

With List

CollegePal college explorer in list view on iPad

With Filters

  • Type: Public, Private
  • Year: 4, 2
  • Setting: City, Urban, Suburban, Rural
  • Selectivity: Very Selective, Selective, Less Selective CollegePal college explorer with type, year, setting and selectivity filters applied

College Detail

  • Tags
  • Top Majors
  • Description
  • Acceptance Rate, Graduation Rate, Tuition, Enrollment, Location
  • Data compared to the national average CollegePal college detail screen showing acceptance rate, tuition and top majors against national averages

Checklist

Go through CollegePal’s application checklist to have a clear understanding of all the components of your application, their respective importance, and helpful tips for each item.

CollegePal application checklist on iPad

CollegePal checklist sheet with tips for a single application component

Find My Fit

What sets CollegePal apart is its advanced machine learning capabilities. By using AI technology, CollegePal provides personalized recommendations for reach, match, and safety schools based on your self-evaluation.

User Self Evaluation

CollegePal self-evaluation sliders for the Find My Fit questionnaire

Machine Learning Result

CollegePal Find My Fit results grouping schools into reach, match and safety

Technologies

  • Programming Language: Swift
  • Libraries: SwiftUI, CoreML

Acknowledgement

  • Public Domain Images: All college images are from Wikipedia Commons.
  • Public Domain Dataset: All college data is from Common Data Set.