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An Intelligent and AI-Driven Mobile Platform for High School Students in the College Application Process using Open AI and Google Maps API

Authors

Claire Yu1 and Joshua Wu2, 1USA, 2California State Polytechnic University, USA

Abstract

Students feel overwhelmed in the college process, whether it be due to the inability to find college tours or feeling lost on what they want to pursue in education and where to pursue it. Through our application, CollegeMatcher, we aim to resolve such feelings of aimlessness by providing accessible resources of information and conveying the campus experience for a multitude of universities in America, as well as guiding the student to a higher education home based on their interests and capabilities. We utilize web scraping and API connections (including Google Maps and OpenAI) to retrieve data for each university, including its buildings and images. The application page that provides personalized recommendations of universities integrates with an OpenAI trained chatbot (through its API) in addition to user-inputted data. This application will help students find the university and path of education that best suits them, allowing for the future discovery of passions and pursuits.

Keywords

Flutter, Dart, Python, OpenAI, ChatGPT, Google Maps, College Application, Virtual Tour, University, Campus