Aplicación web scraping para la búsqueda de información de instituciones y carreras universitarias

Abstract

This project aims to create a web application that allows users to find and explore detailed information about careers in higher education institutions and careers in Bogotá, as well as create a personalized vocational profile through an interactive form. Using web scraping and artificial intelligence techniques, the application will categorize the available careers to offer personalized recommendations based on the interests and skills of each user. In addition, the platform will include higher education news sections and user cases, encouraging interaction and information exchange among the educational community. The proposed application seeks to provide users with a comprehensive and easy-to-use tool to explore educational and professional options in Bogotá, thus facilitating vocational decision making and significantly optimizing online search time. The application not only provides access to up-to-date and relevant information on professional careers, but also offers personalized recommendations based on each user's vocational profile, allowing them to make informed decisions about their academic and professional future. Also, by implementing news sections and users' own cases, a collaborative space is created where experiences and information can be shared, thus enriching the educational and vocational experience of the community.