Gary's College Selection Assistant App Wins Him UCLA Admission

Gary developed a mobile application that enables students to deeply understand university life and academic environments through web scraping, machine learning, and frontend design. This project not only showcases the power of technology but also aids students in making more informed choices for their university education.

Student Testimonial

In the project development, Gary used Python, along with the BeautifulSoup and Pandas libraries to crawl and organize web data. Faced with the complexities of data processing and information storage issues, he utilized machine learning technology to analyze sentiment tendencies and built the user interface with FlutterFlow.

More About This Project + Accolades

Admitted to University of California at Los Angeles